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Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.
Authors: Pei, Wenceng | Jiang, Minren | Liu, Haiyan | Song, Jiahong | Hu, Jian
Article Type: Research Article
Abstract: BACKGROUND: Liver hepatocellular cancer (LIHC) and stomach adenocarcinoma (STAD) are common malignancies with high lethal ratios worldwide. Great progress has been achieved by using diverse therapeutic strategies; however, these diseases still have an unfavourable prognosis. Ferroptosis inducer drugs, unlike apoptosis-related drugs, can overcome the resistance to cancer therapy caused by traditional chemicals. However, the relationship between overall survival (OS) and ferroptosis-related genes, as well as the mechanisms involved, are largely unclear. METHODS: The expression levels of AIFM2, GPX4, ACSL4, FTH1, NOS1, and PTGS2 in LIHC and STAD were obtained from UALCAN. The correlations of OS with …these gene expression levels were obtained using the Kaplan-Meier Plotter database. The OS associated with genetic mutations of those genes compared to that of unchanged genes was analysed using the TIMER website. GO and KEGG enrichment analyses of ferroptosis-related genes and their coexpressed genes in LIHC and STAD were conducted using the STRING and DAVID databases. The relationship of PTGS2 and ACSL4 to immune cell infiltration was analysed using the TIMER website. The viability and GPX5 expression levels in LIHC cells treated with RSL3 and As 2 O 3 were detected by MTT methods and western blotting, respectively. RESULTS: Our results showed that GPX4, FTH1 and AIFM2 were overexpressed in LIHC and STAD. High levels of GPX4, FTH1 and AIFM2 were prominently correlated with better prognosis in LIHC. However, GPX and FTH1 in STAD did not show significant correlations with OS. AIFM2 in STAD had the opposite trend with OS compared with that in LIHC. Moreover, a high mutation rate of these genes (35.74%) was also observed in LIHC patients, and genetic mutation of these genes was correlated with shorter OS. In contrast, the genetic mutation of these genes did not change OS in STAD. Enrichment analysis showed that the respiratory electron transport chain, cell chemotaxis and T-cell migration were related to ferroptosis. ASCL4 and PTGS2 coexpressed with cytokines associated with immune cell infiltration. Compared to RSL3 or As 2 O 3 alone, As2O3 plus RSL3 significantly inhibited the growth of Huh7 cells. GPX4 was downregulated to an undetectable level when in combination with RSL3. CONCLUSIONS: Our results indicated that ferroptosis-related genes might play an important role in LIHC and STAD and might be risk factors for overall survival in LIHC and STAD. Show more
Keywords: Liver hepatocellular cancer, stomach adenocarcinoma, ferroptosis, prognosis, enrichment analysis
DOI: 10.3233/CBM-230114
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-13, 2023
Authors: Paez, Rafael | Rowe, Dianna J. | Deppen, Stephen A. | Grogan, Eric L. | Kaizer, Alexander | Bornhop, Darryl J. | Kussrow, Amanda K. | Barón, Anna E. | Maldonado, Fabien | Kammer, Michael N.
Article Type: Research Article
Abstract: BACKGROUND: Assessing the clinical utility of biomarkers is a critical step before clinical implementation. The reclassification of patients across clinically relevant subgroups is considered one of the best methods to estimate clinical utility. However, there are important limitations with this methodology. We recently proposed the intervention probability curve (IPC) which models the likelihood that a provider will choose an intervention as a continuous function of the probability, or risk, of disease. OBJECTIVE: To assess the potential impact of a new biomarker for lung cancer using the IPC. METHODS: The IPC derived from the …National Lung Screening Trial was used to assess the potential clinical utility of a biomarker for suspected lung cancer. The summary statistics of the change in likelihood of intervention over the population can be interpreted as the expected clinical impact of the added biomarker. RESULTS: The IPC analysis of the novel biomarker estimated that 8% of the benign nodules could avoid an invasive procedure while the cancer nodules would largely remain unchanged (0.1%). We showed the benefits of this approach compared to traditional reclassification methods based on thresholds. CONCLUSIONS: The IPC methodology can be a valuable tool for assessing biomarkers prior to clinical implementation. Show more
Keywords: Biomarkers, clinical utility, Intervention Probability Curve, indeterminate pulmonary nodule, net reclassification index
DOI: 10.3233/CBM-230054
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-8, 2023
Authors: Li, Shan | Li, Ting | Shi, Yan-Qing | Xu, Bin-Jie | Deng, Yu-Yong | Sun, Xu-Guang
Article Type: Research Article
Abstract: BACKGROUND: Our study aimed to investigate the Hub genes and their prognostic value in colorectal cancer (CRC) via bioinformatics analysis. METHODS: The data set of colorectal cancer was downloaded from the GEO database (GSE21510, GSE110224 and GSE74602) for differential expression analysis using the GEO2R tool. Hub genes were screened by protein-protein interaction (PPI) comprehensive analysis. GEPIA was used to verify the expression of Hub genes and evaluate its prognostic value. The protein expression of Hub gene in CRC was analyzed using the Human Protein Atlas database. The cBioPortal was used to analyze the type and frequency …of Hub gene mutations, and the effects of mutation on the patients’ prognosis. The TIMER database was used to study the correlation between Hub genes and immune infiltration in CRC. Gene set enrichment analysis (GSEA) was used to explore the biological function and signal pathway of the Hub genes and corresponding co-expressed genes. RESULTS: We identified 346 differentially expressed genes (DEGs), including 117 upregulated and 229 downregulated. Four Hub genes (AURKA, CCNB1, EXO1 and CCNA2) were selected by survival analysis and differential expression validation. The protein and mRNA expression levels of AURKA, CCNB1, EXO1 and CCNA2 were higher in CRC tissues than in adjacent tissues. There were varying degrees of immune cell infiltration and gene mutation of Hub genes, especially B cells and CD8+ T cells. The results of GSEA showed that Hub genes and their co-expressed genes mainly participated in chromosome segregation, DNA replication, translational elongation and cell cycle. CONCLUSION: Overexpression of AURKA, CCNB1, CCNA2 and EXO1 had a better prognosis for CRC and this effect was correlation with gene mutation and infiltration of immune cells. Show more
Keywords: Colorectal cancer, bioinformatics analysis, Hub genes, prognosis
DOI: 10.3233/CBM-230113
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-19, 2024
Authors: S, Vinoth | Balasubramanian, Satheeswaran | Perumal, Ekambaram | Santhakumar, Kirankumar
Article Type: Research Article
Abstract: BACKGROUND: Clear cell Renal Cell Carcinoma (ccRCC) is one of the most prevalent types of kidney cancer. Unravelling the genes responsible for driving cellular changes and the transformation of cells in ccRCC pathogenesis is a complex process. OBJECTIVE: In this study, twelve microarray ccRCC datasets were chosen from the gene expression omnibus (GEO) database and subjected to integrated analysis. METHODS: Through GEO2R analysis, 179 common differentially expressed genes (DEGs) were identified among the datasets. The common DEGs were subjected to functional enrichment analysis using ToppFun followed by construction of protein-protein interaction network (PPIN) …using Cytoscape. Clusters within the DEGs PPIN were identified using the Molecular Complex Detection (MCODE) Cytoscape plugin. To identify the hub genes, the centrality parameters degree, betweenness, and closeness scores were calculated for each DEGs in the PPIN. Additionally, Gene Expression Profiling Interactive Analysis (GEPIA) was utilized to validate the relative expression levels of hub genes in the normal and ccRCC tissues. RESULTS: The common DEGs were highly enriched in Hypoxia-inducible factor (HIF) signalling and metabolic reprogramming pathways. VEGFA , CAV1 , LOX , CCND1 , PLG , EGF , SLC2A1 , and ENO2 were identified as hub genes. CONCLUSION: Among 8 hub genes, only the expression levels of VEGFA , LOX , CCND1 , and EGF showed a unique expression pattern exclusively in ccRCC on compared to other type of cancers. Show more
Keywords: Kidney cancer, hypoxia, metabolic reprogramming, hub genes, cancer biomarker
DOI: 10.3233/CBM-230271
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Zhang, Zhixiang | Guo, Jipeng | Gong, Chongwen | Wu, Sai | Sun, Yanlei
Article Type: Research Article
Abstract: BACKGROUND: N6-methyladenosine (m6 A) modification has been associated with non-small cell lung cancer (NSCLC) tumorigenesis. OBJECTIVES: This study aimed to determine the functions of Vir-like m6 A methyltransferase-associated (KIAA1429) and relaxin family peptide receptor 1 (RXFP1) in NSCLC. METHODS: A quantitative real-time polymerase chain reaction was used to analyze the mRNA levels of KIAA1429 and RXFP1 in NSCLC. After silencing KIAA1429 or RXFP1 in NSCLC cells, changes in the malignant phenotypes of NSCLC cells were assessed using cell counting kit-8, colony formation, and transwell assays. Finally, the m6 A modification of RXFP1 mediated …by KIAA1429 was confirmed using luciferase, methylated RNA immunoprecipitation, and western blot assays. RESULTS: KIAA1429 and RXFP1 were upregulated and downregulated in NSCLC, respectively. Silencing of KIAA1429 attenuated the viability, migration, and invasion of NSCLC cells, whereas silencing of RXFP1 showed the opposite function in NSCLC cells. Moreover, RXFP1 expression was inhibited by KIAA1429 via m6 A-modification. Therefore, silencing RXFP1 reversed the inhibitory effect of KIAA1429 knockdown in NSCLC cells. CONCLUSION: Our findings confirmed that the KIAA1429/RXFP1 axis promotes NSCLC tumorigenesis. This is the first study to reveal the inhibitory function of RXFP1 in NSCLC via KIAA1429-mediated m6 A-modification. These findings may help identify new biomarkers for targeted NSCLC therapy. Show more
Keywords: N6-methyladenosine, KIAA1429, RXFP1, non-small cell lung cancer
DOI: 10.3233/CBM-230188
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Kim, Roger Y.
Article Type: Research Article
Abstract: Pulmonary nodules are ubiquitously found on computed tomography (CT) imaging either incidentally or via lung cancer screening and require careful diagnostic evaluation and management to both diagnose malignancy when present and avoid unnecessary biopsy of benign lesions. To engage in this complex decision-making, clinicians must first risk stratify pulmonary nodules to determine what the best course of action should be. Recent developments in imaging technology, computer processing power, and artificial intelligence algorithms have yielded radiomics-based computer-aided diagnosis tools that use CT imaging data including features invisible to the naked human eye to predict pulmonary nodule malignancy risk and are designed …to be used as a supplement to routine clinical risk assessment. These tools vary widely in their algorithm construction, internal and external validation populations, intended-use populations, and commercial availability. While several clinical validation studies have been published, robust clinical utility and clinical effectiveness data are not yet currently available. However, there is reason for optimism as ongoing and future studies aim to target this knowledge gap, in the hopes of improving the diagnostic process for patients with pulmonary nodules. Show more
Keywords: Radiomics, artificial intelligence, lung cancer, risk stratification, pulmonary nodule
DOI: 10.3233/CBM-230360
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Authors: Zhang, Xuan | Wu, Yang-Yang | Qin, Yuan-Yuan | Lin, Fa-Quan
Article Type: Research Article
Abstract: OBJECTIVE: This article aims to investigate the clinical value of hemoglobin/red cell distribution width ratio (Hb/RDW), C-reactive protein/albumin ratio (CAR) and plateletcrit (PCT) combined with carcinoembryonic antigen (CEA) in colorectal cancer (CRC) auxiliary diagnosis. METHODS: We retrospectively analyzed in 718 subjects (212 with CRC, 209 with benign colorectal lesions (BCL), 111 with other cancers, and 186 healthy controls). RESULTS: The CAR, PCT, and CEA in the CRC group were higher than those in the BCL, other cancers, and the healthy control group. However, Hb/RDW in the CRC group was lower than the other …three groups. Moreover, there were significant differences in Hb/RDW and CEA among different T-N-M stages (all P < 0.05). Multivariate logistic regression showed that low level of Hb/RDW and high level of CAR, CEA, PCT were risk factors for CRC, and are correlated with CRC stage. Additionally, the area under the receiver operating characteristic curve (AUC) of Hb/RDW+ CEA (AUC: 0.735), CAR+ CEA (AUC: 0.748), PCT+ CEA (AUC: 0.807) was larger than that of Hb/RDW (AUC: 0.503), CAR (AUC: 0.614), or PCT (AUC: 0.713) alone (all P < 0.001) in distinguishing CRC from BCL. CONCLUSIONS: Hb/RDW, CAR, PCT, and CEA are independent risk factors for CRC. Hb/RDW, CAR, and PCT combined with CEA have significant value for auxiliary differential diagnosis of CRC and BCL. Show more
Keywords: Hemoglobin/red cell distribution width ratio, C-reactive protein/albumin ratio, plateletcrit, carcinoembryonic antigen, colorectal cancer
DOI: 10.3233/CBM-230157
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-8, 2023
Authors: Karataş, Fatih | Acat, Murat | Karatas, Hatice Gulsah | İnci, Fatih | Dikiş, Özlem Sengören
Article Type: Research Article
Abstract: BACKGROUND: Despite Non-small cell lung cancer (NSCLC) ranks among the most deadly cancers worldwide, and currently, apart from a low percentage, targetable molecules have not been identified in its etiopathogenesis. The relationship between the proteoglycans decorin and biglycan, which are present in the extracellular matrix of cells, and transforming growth factor Beta-1 (TGF-B1), has been shown in many cancers. We investigated the significance of these molecules in NSCLC. METHODS: Fasting serum levels of decorin, biglycan, and TGF-B1 were obtained from 48 newly diagnosed NSCLC patients and compared with those of 48 adult control subjects matched for …age and demographics. Demographic data, baseline laboratory values, and ELISA results were compared between the groups. RESULTS: The median age was 65(39–83) similar in both groups. There was no relation between demographic and clinical parameters and the levels of decorin, biglycan, and TGF-B1 in the NSCLC group. However, in comparison to the control group, NSCLC patients had significantly higher levels of biglycan (42.55 ± 27.40 vs. 24.38 ± 12.05 ng/mL, p = 0.026) and TGF-B1 (15.55 ± 9.16 vs. 10.07 ± 7.8 pg/mL, p = 0.001), while decorin levels were significantly lower (6.64 ± 1.92 vs. 10.28 ± 3.13 ng/mL, p = 0.002). In the multivariate regression analysis; Decorin < 8.13 ng/mL (OR, 10.96; 95% CI: 3.440–34.958), current smoking (OR, 3.81; 95% CI: 1.320–10.998), COPD (OR, 43.6; 95% CI: 2.082–913.081), and lower BMI (OR, 1.22; 95% CI: 1.070–1.405, p = 0.003) were identified as independent predictive markers for NSCLC diagnosis. CONCLUSION: The decreased serum decorin level is an independent marker for NSCLC. Further studies are needed to investigate the prognostic significance of decorin on survival and its potential as a target in treatment. Show more
Keywords: Non small cell, lung cancer, decorin, biglycan, TGF-B1
DOI: 10.3233/CBM-230238
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-6, 2023
Authors: Qu, Xinjian | Xu, Chang | Yang, Wenbo | Li, Qianqian | Tu, Simei | Gao, Chenghai
Article Type: Research Article
Abstract: BACKGROUND: Epithelial-mesenchymal transition (EMT) is an important biological process by which malignant tumor cells to acquire migration and invasion abilities. This study explored the role of KLF5 in the EMT process of in cervical cancer cell lines. OBJECTIVE: Krüpple-like factor 5 (KLF5) is a basic transcriptional factor that plays a key role in cell-cycle arrest and inhibition of apoptosis. However, the molecular mechanism by which KLF5 mediates the biological functions of cervical cancer cell lines has not been elucidated. Here, we focus on the potential function of ELF5 in regulating the EMT process in in vitro …model of cervical cancer cell lines. METHOD: Western-blot and real-time quantitative PCR were used to detect the expression of EMT-related genes in HeLa cells. MTT assays, cell scratch and Transwell assays were used to assess HeLa cells proliferation and invasion capability. Using the bioinformatics tool JASPAR, we identified a high-scoring KLF5-like binding sequence in the SNAI1 gene promoter. Luciferase reporter assays was used to detect transcriptional activity for different SNAI1 promoter truncates. RESULT: After overexpressing the KLF5 gene in HeLa cells, KLF5 not only significantly inhibited the invasion and migration of HeLa cells, but also increased the expression of E-cadherin and decreased the expression of N-cadherin and MMP9. In addition, the mRNA expression of upstream regulators of E-cadherin, such as SNAI1, SLUG, ZEB1/2 and TWIST1 was also decreased. Furthermore, KLF5 inhibiting the expression of the SNAI1 gene via binding its promoter region, and the EMT of Hela cells was promoted after overexpression of the SNAI1 gene. CONCLUSION: These results indicate that KLF5 can downregulate the EMT process of HeLa cells by decreasing the expression of the SNAI1 gene, thereby inhibiting the migration and invasion of HeLa cervical cancer cells. Show more
Keywords: KLF5, EMT, SNAI1, cervical cancer cells
DOI: 10.3233/CBM-230175
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-13, 2023
Authors: Peng, Shuang | Zhang, Hao | Song, Guoxin | Zhu, Jingfeng | Zhang, Shiyu | Liu, Cheng | Gao, Feng | Yang, Hang | Zhu, Wei
Article Type: Research Article
Abstract: BACKGROUND: Post-transcriptional regulation of mRNA induced by microRNA is known crucial in tumor occurrence, progression, and metastasis. This study aims at identifying significant miRNA-mRNA axes for stomach adenocarcinomas (STAD). METHOD: RNA expression profiles were collected from The Cancer Genome Atlas (TCGA) and GEO database for screening differently expressed RNAs and miRNAs (DE-miRNAs/DE-mRNAs). Functional enrichment analysis was conducted with Hiplot and DAVID-mirPath. Connectivity MAP was applied in compounds prediction. MiRNA-mRNA axes were forecasted by TarBase and MiRTarBase. Real-time reverse transcription polymerase chain reaction (RT-qPCR) of stomach specimen verified these miRNA-mRNA pairs. Diagnosis efficacy of miRNA-mRNA interactions was …measured by Receiver operation characteristic curve and Decision Curve Analysis. Clinical and survival analysis were also carried out. CIBERSORT and ESTIMATE was employed for immune microenvironment measurement. RESULT: Totally 228 DE-mRNAs (105 upregulated and 123 downregulated) and 38 DE-miRNAs (22 upregulated and 16 downregulated) were considered significant. TarBase and MiRTarBase identified 18 miRNA-mRNA pairs, 12 of which were verified in RT-qPCR. The network of miR-301a-3p/ELL2 and miR-1-3p/ANXA2 were established and verified in external validation. The model containing all 4 signatures showed better diagnosis ability. Via interacting with M0 macrophage and resting mast cell, these miRNA-mRNA axes may influence tumor microenvironment. CONCLUSION: This study established a miRNA-mRNA network via bioinformatic analysis and experiment validation for STAD. Show more
Keywords: miRNA, miRNA-mRNA networks, stomach adenocarcinoma, TCGA, PCR
DOI: 10.3233/CBM-230125
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
Authors: Li, Qi | Zhao, Min | Hu, Dan-Dan | Qin, Jun-Jiao | He, Wei
Article Type: Research Article
Abstract: BACKGROUND: Circular RNAs (circRNAs) are critical regulators of lung adenocarcinoma (LA) progression. Although a molecular marker targeting hsa_circ_0000018 has been developed and used for diagnosing colon cancer, the role of this circRNA in LA progression has not been explored till now. OBJECTIVES: This study aimed to elucidate the role and regulatory mechanisms of hsa_circ_0000018 in LA progression. METHODS: LA tissues and corresponding adjacent non-tumor tissues were collected from 36 patients to confirm the levels of circRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) using quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). We also cultured two …LA cell lines (A549, PC-9), and the human normal lung epithelial cell line BEAS-2B. Cell function experiments were conducted to assess malignancy in LA cells, including proliferation, migration, and invasion, following forced hsa_circ_0000018 expression. The correlation between hsa_circ_0000018, let-7f-5p, and family with sequence similarity 96 member A (FAM96A) was confirmed by using starBase (miRNA-circRNA interaction database), luciferase assay, and western blotting. RESULTS: Expression of hsa_circ_0000018 and FAM96A was reduced, whereas that of let-7f-5p was upregulated in LA. Cell function assays revealed that upregulation of hsa_circ_0000018 had a suppressive effect on the proliferation, migration, and invasion of LA cells. Additionally, hsa_circ_0000018 sponge binds let-7f-5p, resulting in upregulation of FAM96A expression. CONCLUSION: Our data reveal hsa_circ_0000018 as a tumor suppressor in LA that targets the let-7f-5p/FAM96A axis. Our findings enrich the known regulatory network of circRNAs in LA. Show more
Keywords: hsa_circ_0000018, lung adenocarcinoma, let-7f-5p, FAM96A, circRNAs
DOI: 10.3233/CBM-230111
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-9, 2023
Authors: Singh, Varsha | Katiyar, Amit | Malik, Prabhat | Kumar, Sunil | Mohan, Anant | Singh, Harpreet | Jain, Deepali
Article Type: Research Article
Abstract: OBJECTIVES: Significant progress has been made in the treatment of patients with pulmonary adenocarcinoma (ADCA) based on molecular profiling. However, no such molecular target exists for squamous cell carcinoma (SQCC). An exome sequence may provide new markers for personalized medicine for lung cancer patients of all subtypes. The current study aims to discover new genetic markers that can be used as universal biomarkers for non-small cell lung cancer (NSCLC). METHODS: WES of 19 advanced NSCLC patients (10 ADCA and 9 SQCC) was performed using Illumina HiSeq 2000. Variant calling was performed using GATK HaplotypeCaller and then …the impacts of variants on protein structure or function were predicted using SnpEff and ANNOVAR. The clinical impact of somatic variants in cancer was assessed using cancer archives. Somatic variants were further prioritized using a knowledge-driven variant interpretation approach. Sanger sequencing was used to validate functionally important variants. RESULTS: We identified 24 rare single-nucleotide variants (SNVs) including 17 non-synonymous SNVs, and 7 INDELs in 18 genes possibly linked to lung carcinoma. Variants were classified as known somatic (n = 10), deleterious (n = 8), and variant of uncertain significance (n = 6). We found TBP and MPRIP genes exclusively associated with ADCA subtypes, FBOX6 with SQCC subtypes and GPRIN2, KCNJ18 and TEKT4 genes mutated in all the patients. The Sanger sequencing of 10 high-confidence somatic SNVs showed 100% concordance in 7 genes, and 80% concordance in the remaining 3 genes. CONCLUSIONS: Our bioinformatics analysis identified KCNJ18, GPRIN2, TEKT4, HRNR, FOLR3, ESSRA, CTBP2, MPRIP, TBP, and FBXO6 may contribute to progression in NSCLC and could be used as new biomarkers for the treatment. The mechanism by which GPRIN2, KCNJ12, and TEKT4 contribute to tumorigenesis is unclear, but our results suggest they may play an important role in NSCLC and it is worth investigating in future. Show more
Keywords: Non-small cell lung cancer, adenocarcinoma, squamous cell carcinoma, biomarker, whole-exome sequencing
DOI: 10.3233/CBM-220211
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-18, 2023
Authors: Aluksanasuwan, Siripat | Somsuan, Keerakarn | Ngoenkam, Jatuporn | Chutipongtanate, Somchai | Pongcharoen, Sutatip
Article Type: Research Article
Abstract: BACKGROUND: Lung adenocarcinoma (LUAD) is a major histological subtype of lung cancer with a high mortality rate worldwide. Heat shock protein family D member 1 (HSPD1, also known as HSP60) is reported to be increased in tumor tissues of lung cancer patients compared with healthy control tissues. OBJECTIVE: We aimed to investigate the roles of HSPD1 in prognosis, carcinogenesis, and immune infiltration in LUAD using an integrative bioinformatic analysis. METHODS: HSPD1 expression in LUAD was investigated in several transcriptome-based and protein databases. Survival analysis was performed using the KM plotter and OSluca databases, …while prognostic significance was independently confirmed through univariate and multivariate analyses. Integrative gene interaction network and enrichment analyses of HSPD1-correlated genes were performed to investigate the roles of HSPD1 in LUAD carcinogenesis. TIMER and TISIDB were used to analyze correlation between HSPD1 expression and immune cell infiltration. RESULTS: The mRNA and protein expressions of HSPD1 were higher in LUAD compared with normal tissues. High HSPD1 expression was associated with male gender and LUAD with advanced stages. High HSPD1 expression was an independent prognostic factor associated with poor survival in LUAD patients. HSPD1-correlated genes with prognostic impact were mainly involved in aberrant ribosome biogenesis, while LUAD patients with high HSPD1 expression had low tumor infiltrations of activated and immature B cells and CD4+ T cells. CONCLUSIONS: HSPD1 may play a role in the regulation of ribosome biogenesis and B cell-mediated immunity in LUAD. It could serve as a predictive biomarker for prognosis and immunotherapy response in LUAD. Show more
Keywords: Lung adenocarcinoma, HSPD1, ribosome biogenesis, immune infiltration, biomarker, prognosis
DOI: 10.3233/CBM-220442
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-16, 2023
Authors: Zhu, Ziwen | Jiang, Weizhen | Zhou, Danhong | Zhu, Weidong | Chen, Cheng
Article Type: Research Article
Abstract: BACKGROUND: In clinical practice, preoperative identification of mixed ground-glass opacity (mGGO) nodules with micropapillary component (MPC) to facilitate the implementation of individualized therapeutic strategies and avoid unnecessary surgery is increasingly important OBJECTIVE: This study aimed to build a predictive model based on clinical and radiological variables for the early identification of MPC in lung adenocarcinoma presenting as mGGO nodules. METHODS: The enrolled 741 lung adenocarcinoma patients were randomly divided into a training cohort and a validation cohort (3:1 ratio). The pathological specimens and preoperative images of malignant mGGO nodules from the study subjects …were retrospectively reviewed. Furthermore, in the training cohort, selected clinical and radiological variables were utilized to construct a predictive model for MPC prediction. RESULTS: The MPC was found in 228 (43.3%) patients in the training cohort and 72 (41.1%) patients in the validation cohort. Based on the predictive nomogram, the air bronchogram was defined as the most dominant independent risk factor for MPC of mGGO nodules, followed by the maximum computed tomography (CT) value (> 200), adjacent to pleura, gender (male), and vacuolar sign. The nomogram demonstrated good discriminative ability with a C-index of 0.783 (95%[CI] 0.744–0.822) in the training cohort and a C-index of 0.799 (95%[CI] 0.732–0.866) in the validation cohort Additionally, by using the bootstrapping method, this predictive model calculated a corrected AUC of 0.774 (95% CI: 0.770–0.779) in the training cohort. CONCLUSIONS: This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies. Show more
Keywords: Mixed ground-glass opacity (mGGO), micropapillary component (MPC), lung adenocarcinoma, predictive model, nomogram
DOI: 10.3233/CBM-230104
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Chen, Cheng | Wang, Caiming | Liu, Wei | Chen, Jiacheng | Chen, Liang | Luo, Xiangxiang | Wu, Jincai
Article Type: Research Article
Abstract: BACKGROUND: Cms1 ribosomal small subunit homolog (CMSS1) is an RNA-binding protein that may play an important role in tumorigenesis and development. OBJECTIVE: RNA-seq data from the GEPIA database and the UALCAN database were used to analyze the expression of CMSS1 in liver hepatocellular carcinoma (LIHC) and its relationship with the clinicopathological features of the patients. METHODS: LinkedOmics was used to identify genes associated with CMSS1 expression and to identify miRNAs and transcription factors significantly associated with CMSS1 by GSEA. RESULTS: The expression level of CMSS1 in hepatocellular carcinoma tissues was …significantly higher than that in normal tissues. In addition, the expression level of CMSS1 in advanced tumors was significantly higher than that in early tumors. The expression level of CMSS1 was higher in TP53-mutated tumors than in non-TP53-mutated tumors. CMSS1 expression levels were strongly correlated with disease-free survival (DFS) and overall survival (OS) in patients with LIHC, and high CMSS1 expression predicted poorer OS (P < 0.01) and DFS (P < 0.01). Meanwhile, our results suggested that CMSS1 is associated with the composition of the immune microenvironment of LIHC. CONCLUSIONS: The present study suggests that CMSS1 is a potential molecular marker for the diagnosis and prognostic of LIHC. Show more
Keywords: CMSS1, hepatocellular carcinoma, . bioinformatics, diagnosis, prognosis
DOI: 10.3233/CBM-230209
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-10, 2023
Authors: Heredia, David | Bolaño-Guerra, Laura | Valencia-Velarde, Angel | Santoyo, Edgar Varela | Lara-Mejía, Luis | Cárdenas-Fernández, Daniela | Orozco, Mario | Cruz-Rico, Graciela | Arrieta, Oscar
Article Type: Research Article
Abstract: BACKGROUND: Liquid biopsy (LB) is used to detect epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) and has been demonstrated to have prognostic and predictive value. OBJECTIVE: To associate the rates of EGFR and T790M mutations detected by LB during disease progression after first- or second-generation EGFR-TKIs with clinical characteristics and survival outcomes. METHODS: From January 2018 to December 2021, 295 patients with advanced EGFR mutant (EGFRm) NSCLC treated with first- or second-generation EGFR-TKIs were retrospectively analyzed. LB was collected at the time of progression. The frequency of …EGFR T790M mutations, overall survival (OS), and the clinical characteristics associated with LB positivity were determined. RESULTS: The prevalence of EGFR T790M mutation detected using LB was 44%. In patients with negative vs. positive LB, the median OS was 45.0 months vs. 25.0 months (p = 0.0001), respectively. Patients with a T790M mutation receiving osimertinib had a median OS of 44 months (95% CI [33.05–54.99]). Clinical characteristics associated with positive LB at progression extra-thoracic involvement, > 3 metastatic sites, and bone metastases. CONCLUSIONS: Our findings showed that LB positivity was associated with worse survival outcomes and specific clinical characteristics. This study also confirmed the feasibility and detection rate of T790M mutation in a Latin American population. Show more
Keywords: EGFRm NSCLC, liquid biopsy, T790M mutation, osimertinib, ctDNA
DOI: 10.3233/CBM-230124
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Karamti, Hanen | Alharthi, Raed | Umer, Muhammad | Shaiba, Hadil | Ishaq, Abid | Abuzinadah, Nihal | Alsubai, Shtwai | Ashraf, Imran
Article Type: Research Article
Abstract: Breast cancer is a major cause of female deaths, especially in underdeveloped countries. It can be treated if diagnosed early and chances of survival are high if treated appropriately and timely. For timely and accurate automated diagnosis, machine learning approaches tend to show better results than traditional methods, however, accuracy lacks the desired level. This study proposes the use of an ensemble model to provide accurate detection of breast cancer. The proposed model uses the random forest and support vector classifier along with automatic feature extraction using an optimized convolutional neural network (CNN). Extensive experiments are performed using the original, …as well as, CNN-based features to analyze the performance of the deployed models. Experimental results involving the use of the Wisconsin dataset reveal that CNN-based features provide better results than the original features. It is observed that the proposed model achieves an accuracy of 99.99% for breast cancer detection. Performance comparison with existing state-of-the-art models is also carried out showing the superior performance of the proposed model. Show more
Keywords: Breast cancer detection, image processing, healthcare, machine learning, ensemble learning, deep convoluted features
DOI: 10.3233/CBM-230294
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-16, 2023
Authors: Yao, Ningning | Hou, Qing | Liang, Yu | Cao, Xin | Sun, Bochen | Wei, Lijuan | Sun, Ruifang | Cao, Jianzhong
Article Type: Research Article
Abstract: BACKGROUND: Aspartate aminotransferase (AST), an indicator of liver cell damage, was related to the prognosis of certain malignant tumors. OBJECTIVE: This study examined the predictive value of AST in patients with extranodal natural killer/T cell lymphoma (ENKTL). METHODS: We reviewed 183 cases diagnosed with ENKTL and selected 26 U/L as the optimum cut-off value of AST. We used the univariate and multivariate Cox regression to compare the different AST groups’ overall survival (OS) and progression-free survival (PFS). RESULTS: Prior to propensity score matching (PSM), Kaplan-Meier analysis showed that patients in …the low AST subgroup had better OS and PFS than the high AST subgroup. Multivariate analysis revealed that AST was an independent indicator for prognosis. After PSM, the low AST subgroup maintained a significantly better OS and PFS than the high AST subgroup. CONCLUSION: AST might represent a significant prognostic marker for ENKTL patients. Show more
Keywords: Serum aspartate aminotransferase, extranodal natural killer/T cell lymphoma, nasal type, survival, prognosis
DOI: 10.3233/CBM-230068
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Attia, Amany Selim | Hussein, Samia | Sameh, Hend | Khalil, Amr | Waley, Ahmad Barakat | Matar, Ihab | Sameh, Reham
Article Type: Research Article
Abstract: BACKGROUND: Papillary thyroid carcinoma (PTC) is the most frequent thyroid malignancy. Histopathological examination is widely accepted as the gold standard test for the diagnosis of PTC. However, the histopathological examination sometimes can’t differentiate PTC from other thyroid diseases. Differentiating PTC from other thyroid diseases is essential for a therapeutic approach and prognosis. OBJECTIVES: The current study was performed to investigate the utility of TROP-2, SPL-2, and CXCL12 mRNA and protein expression in discriminating PTC from other thyroid diseases that mimic PTC. METHODS: The current study was performed on 75 cases of surgically resected …thyroid glands. The cases were distributed in two groups: the PTC group and the non-PTC group. The PTC group consisted of 35 cases (25 patients of the classic PTC variant and 10 patients of the PTC follicular variant). The non-PTC group consisted of 40 cases (10 cases were multinodular goiter, 5 cases were Graves’ disease, 5 cases were Hashimoto thyroiditis, 15 patients were follicular adenoma (FA) and 5 cases were follicular carcinoma). TROP-2 , SPL-2 , and CXCL12 mRNA expression were estimated by qRT-PCR, and protein expression was estimated by immunohistochemistry. RESULTS: There were upregulated TROP-2, SPL-2, and CXCL12 mRNA and protein expressions in PTC compared to non-PTC (P < 0.001, for each). There was a statistically significant upregulation in the mRNA expression of the three genes among PTC cases with larger tumor sizes (P < 0.001, for each), those with tumor stages III and IV (P = 0.008, 0.002 and < 0.001 respectively), and those with LN metastasis (P < 0.001, for each). Moreover, there was a statistically significant upregulation in CXCL-12 gene expression among PTC cases with extra-thyroid extension (P < 0.001). CONCLUSION: mRNA expression of TROP-2, SPL-2, and CXCL12 among PTC cases increased in larger tumor size, tumor stages III and IV, and LN metastasis. Moreover, there was an increase in CXCL-12 gene expression among PTC cases with extra-thyroid extension. Thus, TROP-2, SPL-2, and CXCL12 expressions could be possible diagnostic and prognostic markers in PTC. Show more
Keywords: TROP-2, SPL-2, CXCL12, papillary thyroid carcinoma
DOI: 10.3233/CBM-230230
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Zhang, Yuke | Liu, Kai | Wang, Jianzhong
Article Type: Research Article
Abstract: BACKGROUND: Osteosarcoma (OS) is a relatively rare malignant bone tumor in teenagers; however, its molecular mechanisms are not yet understood comprehensively. OBJECTIVE: The study aimed to use necroptosis-related genes (NRGs) and their relationships with immune-related genes to construct a prognostic signature for OS. METHODS: TARGET-OS was used as the training dataset, and GSE 16091 and GSE 21257 were used as the validation datasets. Univariate regression, survival analysis, and Kaplan-Meier curves were used to screen for hub genes. The immune-related targets were screened using immune infiltration assays and immune checkpoints. The results were validated …using nomogram and decision curve analyses (DCA). RESULTS: Using univariate Cox regression analysis, TNFRSF1A was screened from 14 NRGs as an OS prognostic signature. Functional enrichment was analyzed based on the median expression of TNFRSF1A. The prognosis of the TNFRSF1A low-expression group in the Kaplan-Meier curve was notably worse. Immunohistochemistry analysis showed that the number of activated T cells and tumor purity increased considerably. Furthermore, the immune checkpoint lymphocyte activation gene 3 (LAG-3) is a possible target for intervention. The nomogram accurately predicted 1-, 3-, and 5-year survival rates. DCA validated the model (C = 0.669). Conclusion: TNFRSF1A can be used to elucidate the potential relationship between the immune microenvironment and NRGs in OS pathogenesis. Show more
Keywords: Osteosarcoma, necroptosis, tumor immune microenvironment, TNFRSF1A, prognosis
DOI: 10.3233/CBM-230086
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
Authors: Miao, Shidi | Jia, Haobo | Huang, Wenjuan | Cheng, Ke | Zhou, Wenjin | Wang, Ruitao
Article Type: Research Article
Abstract: OBJECTIVES: This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images. METHODS: CT imaging data and clinical information were collected from 431 BC patients who underwent radical surgical resection at Harbin Medical University Cancer Hospital. The area of muscle and adipose tissue was obtained from CT images at the level of the eleventh thoracic vertebra. The corresponding histograms of oriented gradients (HOG) and local binary pattern (LBP) features were extracted from the CT images, …and the network features were derived from the LBP and HOG features as well as the CT images through deep learning (DL). The combination of network features with clinical information was utilized to predict bone metastases in BC patients using the Gradient Boosting Decision Tree (GBDT) algorithm. Regularized Cox regression models were employed to identify independent prognostic factors for bone metastasis. RESULTS: The combination of clinical information and network features extracted from LBP features, HOG features, and CT images using a convolutional neural network (CNN) yielded the best performance, achieving an AUC of 0.922 (95% confidence interval [CI]: 0.843–0.964, P < 0.01). Regularized Cox regression results indicated that the subcutaneous fat index was an independent prognostic factor for bone metastasis in breast cancer (BC). CONCLUSION: Subcutaneous fat index could predict bone metastasis in BC patients. Deep learning multimodal algorithm demonstrates superior performance in assessing bone metastases in BC patients. Show more
Keywords: Breast cancer, bone metastases, deep learning, subcutaneous fat, multimodalityKey points:•Subcutaneous fat index is an independent prognostic factor for bone metastasis in BC patients;•A multimodal model using computed tomography (CT) images, local binary pattern (LBP) features, and histograms of oriented gradient (HOG) features can effectively predict bone metastases;•The mask-guided attention mechanism effectively makes the model focus on the fat area.
DOI: 10.3233/CBM-230219
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-15, 2023
Authors: Vo, Duc | Liu, Yan | Sood, Anil K. | Rezvani, Katy | Jazaeri, Amir A. | Liu, Jinsong
Article Type: Research Article
Abstract: High grade epithelial ovarian carcinoma is an aggressive tumor. Treatment includes platinum therapy, however it recurs in most patients due to therapy resistance. In this project, we study the immunohistochemical (IHC) expression of five potential biomarkers/prognostic markers in high grade epithelial ovarian carcinoma: EGFR, HLA-G, CD70, c-MET, and NY-ESO1. A cohort of 274 patients is used. We compare the IHC expression with age, stage, ascites status, family history of cancer, disease free survival (DFS) and overall survival (OS). EGFR expression is significantly correlated with family history and worse OS. HLA-G is associated with worse OS. To confirm the results of …EGFR and HLA-G, a second separated cohort of 248 patients is used. Positive EGFR expression again shows worse OS, while HLA-G expression has worse prognostic trend. CD70 has a worse OS trend. C-MET and NY-ESO1 do not have any clinical correlations. EGFR can potentially serve as target in future clinical immune therapy trials. Show more
Keywords: EGFR, HLA-G, CD70, c-MET, NY-ESO1, survival
DOI: 10.3233/CBM-230200
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-10, 2023
Authors: Zhou, Sixu | Wang, Baogui | Wei, Yingying | Dai, Peiru | Chen, Yan | Xiao, Yingyi | Xia, Hongmei | Chen, Chunlin | Yin, Weihua
Article Type: Research Article
Abstract: BACKGROUND: Docetaxel is a yew compound antitumor agent with accurate antitumor efficacy, but its application is limited due to the high and serious adverse effects, and finding effective combination therapy options is a viable strategy. Immune checkpoint inhibitors have become hotspots in enhancing anti-tumor immunity by blocking immune checkpoint signaling pathways, but their response rate to monotherapy use is not high and the efficacy is minimal. OBJECTIVE: To explore the anti-tumor effects and mechanisms of the combination of PD-1 inhibitors and Docetaxel through in vivo experiments and develop a feasible combination treatment for the therapy of …prostate cancer. METHODS: Tumor-bearing mice were subcutaneously injected with 0.1 ml RM-1 cells. Treatment were taken when the tumor growed up to 3 mm, after which the tumor and spleen were removed to test the antitumor effect with Flow cytometric (FACS) analysis, Immunohistochemistry, Western Blot. RESULTS: In this experiment, we found that PD-1 inhibitors combined with Docetaxel had a synergistic effect on mouse prostate cancer, inhibited the growth of prostate cancer, improved survival and reduced adverse reactions, increased spleen and tumor infiltrative CD4 + and CD8 + T cells, especially in group combination with low-dose Docetaxel, and were related to the PI3K/AKT/NFKB-P65/PD-L1 signaling pathway. CONCLUSION: Our study confirms that PD-1 inhibitors in combination with Docetaxel are a viable combination strategy and provide a safe and effective combination option for the clinical treatment of prostate cancer. Show more
Keywords: Prostate cancer, docetaxel, PD-1 inhibitor, camrelizumab, immune checkpoints
DOI: 10.3233/CBM-230090
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Yan, Shunkang | Zhang, Jiandong | Li, Lianghe | Chen, Gang | Chen, Zhongsheng | Zhan, Wei
Article Type: Research Article
Abstract: BACKGROUND: Colorectal cancer (CRC) is a common form of cancer, with rectal cancer accounting for approximately one-third of all cases. Among rectal cancers, 95% are classified as rectal adenocarcinoma (READ). Emerging evidence suggests that long noncoding RNAs (lncRNAs) play a significant role in the development and progression of various cancers. In our study, we aimed to identify differentially expressed lncRNAs potentially associated with m6A and establish a risk assessment model to predict clinical outcomes for READ patients. METHODS: The READ dataset from the TCGA database was utilized in this study to synergistically and logically integrate m6A …and lncRNA, while employing bioinformatics technology for the identification of suitable biomarkers. A risk prediction model comprising m6A-associated lncRNAs was constructed to investigate the prognostic, diagnostic, and biological functional relevance of these m6A-related lncRNAs. RESULTS: Our research builds a composed of three related to m6A lncRNA rectal gland cancer prognosis model, and the model has been proved in the multi-dimensional can serve as the potential of the prognosis of rectal gland cancer biomarkers. Our study constructed a prognostic model of rectal adenocarcinoma consisting of three related m6A lncRNAs: linc00702, ac106900.1 and al583785.1. CONCLUSION: The model has been validated as a potential prognostic biomarker for rectal cancer in multiple dimensions, aiming to provide clinicians with an indicator to assess the duration of straight adenocarcinoma. This enables early detection of rectal cancer and offers a promising target for immunotherapy. Show more
Keywords: Long noncoding RNA (lncRNAs), rectal adenocarcinoma, prognostic model, m6A, immune microenvironment
DOI: 10.3233/CBM-230123
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Zhao, Zhi Yi | Cao, Yin | Wang, Hong Liang | Liu, Ling Yun
Article Type: Research Article
Abstract: OBJECTIVES: We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis of patients with BC. METHODS: We downloaded the expression data of lncRNAs, miRNAs and mRNA from The Cancer Genome Atlas (TCGA) as training cohort including 19 healthy control samples and 401 BC samples. The differentially expressed RNAs (DERs) were screened using limma package, and the competing endogenous RNAs (ceRNA) regulatory network was constructed and visualized by the cytoscape. Candidate DERs were screened to construct the risk score model and nomogram …for predicting the overall survival (OS) time and prognosis of BC patients. The prognostic value was verified using a validation cohort in GSE13507. RESULTS: Based on 13 selected. lncRNAs, miRNAs and mRNA screened using L1–penalized algorithm, BC patients were classified into two groups: high-risk group (including 201 patients ) and low risk group (including 200 patients). The high-risk group’s OS time ( hazard ratio [HR], 2.160; 95% CI, 1.586 to 2.942; P = 5.678e-07) was poorer than that of low-risk groups’ (HR, 1.675; 95% CI, 1.037 to 2.713; P = 3.393 e-02) in the training cohort. The area under curve (AUC) for training and validation datasets were 0.852. Younger patients (age ⩽ 60 years) had an improved OS than the patients with advanced age (age > 60 years) (HR 1.033, 95% CI 1.017 to 1.049; p = 2.544E-05). We built a predictive model based on the TCGA cohort by using nomograms, including clinicopathological factors such as age, recurrence rate, and prognostic score. CONCLUSIONS: The risk model based on 13 DERs patterns could well predict the prognosis for patients with BC. Show more
Keywords: Competing endogenous RNA, prognosis, nomogram, bladder cancer
DOI: 10.3233/CBM-230216
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Abd ELhafeez, Ahmed Saeed | Ghanem, Hala Mostafa | Swellam, Menha | Taha, AlShaimaa Mohamed
Article Type: Research Article
Abstract: BACKGROUND: FAM170B-AS1 is usually expressed low in all organs except for testicular tissues. No study was performed to explore its role in breast cancer (BC). Contradictory results were reported about hsa-miR-1202 and hsa-miR-146a-5p in BC. OBJECTIVE: The present study aimed to explore the involvement of FAM170B-AS1 in BC using bioinformatics predictive tools, followed by a practical validation besides exploring the impact of hsa-miR-1202 and hsa-miR-146a-5p in BC. METHODS: This study enrolled 96 female patients with BC, 30 patients with benign breast diseases (BBD), and 25 control subjects. The …expressions of circulating FAM170B-AS1, hsa-miR-1202, and hsa-miR-146a-5p were quantified using qRT-PCR. These ncRNAs’ associations, predictive, and diagnostic roles in BC were statistically tested. The underlying miRNA/mRNA targets of FAM170B-AS1 in BC were bioinformatically predicted followed by confirmation based on the GEPIA and TCGA databases. RESULTS: The expression of FAM170B-AS1 was upregulated in sera of BC patients and hsa-miR-1202 was upregulated in sera of BBD and BC patients while that of hsa-miR-146a-5p was downregulated in BC. These FAM170B-AS1 was significantly associated with BC when compared to BBD. FAM170B-AS1 and hsa-miR-1202 were statistically associated with the BC’s stage, grade, and LN metastasis. FAM170B-AS1 and hsa-miR-146a-5p gave the highest specificity and sensitivity for BC. KRAS and EGFR were predicted to be targeted by FAM170B-AS1 through interaction with hsa-miR-143-3p and hsa-miR-7-5p , respectively. Based on the TCGA database, cancer patients having mutations in FAM170B show good overall survival. CONCLUSIONS: The present study reported that for the first time, FAM170B-AS1 may be a potential risk factor, predictive, and diagnostic marker for BC. In addition, FAM170B-AS1 might be involved in BC by interacting with hsa-miR-143-3p/KRAS and hsa-miR-7-5p/EGFR through enhancement or repression that may present a new therapeutic option for BC. Show more
Keywords: Bioinformatics, diagnostic, EGFR, KRAS, risk factor
DOI: 10.3233/CBM-230396
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-21, 2023
Authors: Corlett, Ryan | Button, Charles | Scheel, Sydney | Agrawal, Swati | Rai, Vikrant | Nandipati, Kalyana C.
Article Type: Research Article
Abstract: Esophageal adenocarcinoma (EAC) occurs following a series of histological changes through epithelial-mesenchymal transition (EMT). A variable expression of normal and aberrant genes in the tissue can contribute to the development of EAC through the activation or inhibition of critical molecular signaling pathways. Gene expression is regulated by various regulatory factors, including transcription factors and microRNAs (miRs). The exact profile of miRs associated with the pathogenesis of EAC is largely unknown, though some candidate miRNAs have been reported in the literature. To identify the unique miR profile associated with EAC, we compared normal esophageal tissue to EAC tissue using bulk RNA …sequencing. RNA sequence data was verified using qPCR of 18 selected genes. Fourteen were confirmed as being upregulated, which include CDH11, PCOLCE, SULF1, GJA4, LUM, CDH6, GNA12, F2RL2, CTSZ, TYROBP, and KDELR3 as well as the downregulation of UGT1A1 . We then conducted Ingenuity Pathway Analysis (IPA) to analyze for novel miR-gene relationships through Causal Network Analysis and Upstream Regulator Analysis. We identified 46 miRs that were aberrantly expressed in EAC compared to control tissues. In EAC tissues, seven miRs were associated with activated networks, while 39 miRs were associated with inhibited networks. The miR-gene relationships identified provide novel insights into potentially oncogenic molecular pathways and genes associated with carcinogenesis in esophageal tissue. Our results revealed a distinct miR profile associated with dysregulated genes. The miRs and genes identified in this study may be used in the future as biomarkers and serve as potential therapeutic targets in EAC. Show more
Keywords: Esophageal adenocarcinoma, RNA sequencing, microRNA, therapeutic target, biomarkers, hub gene
DOI: 10.3233/CBM-230170
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-20, 2024
Authors: Dang, Tianfeng | Yu, Jieqing | Yu, Yanqing | Jiang, Junjie | Shi, Yang | Yu, Simin | Peng, Congli | Min, Xiang | Xiong, Yuanping | Long, Ping | Zhou, Wensheng | Dai, Daofeng
Article Type: Research Article
Abstract: GPX4 has attracted much attention as a key molecule of cell ferroptosis, but its role in cell apoptosis is rarely reported, and its role in apoptosis of thyroid cancer (TC) cell has not been reported. The analysis of TCGA database showed that both GPX4 and FKBP8 were highly expressed in TC tumor tissues; The expression of GPX4 and FKBP8 were positively correlated. The immunohistochemical analysis further confirmed that GPX4 and FKBP8 were highly expressed in TC tumor tissues. In addition, the high expression of GPX4 and FKBP8 were both significantly correlated with the poor prognosis of TC. Silencing GPX4 significantly …inhibited the proliferation, induced apoptosis of TC cells, and reduced tumor growth in mice. The co-immunoprecipitation assay revealed a physical interaction between GPX4 and FKBP8 observed in the TC cells. Knockdown of FKBP8 significantly inhibited the proliferation and induced apoptosis of TC cells. Rescue experiments suggested that knockdown of FKBP8 could reverse the strengthens of cell proliferation and apoptosis and the higher expression of FKBP8 and Bcl-2 caused by overexpression of GPX4. Our results suggest that the GPX4/FKBP8/Bcl-2 axis promotes TC development by inhibiting TC cell apoptosis, which provides potential molecular targets for TC therapeutic strategies. Show more
Keywords: Apoptosis, cell proliferation, molecular targets, programmed cell death, thyroid cancer
DOI: 10.3233/CBM-230220
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-12, 2023
Authors: Záveský, Luděk | Jandáková, Eva | Weinberger, Vít | Minář, Luboš | Kohoutová, Milada | Slanař, Ondřej
Article Type: Research Article
Abstract: BACKGROUND: Breast cancer is the most commonly occurring cancer worldwide and is the main cause of death from cancer in women. Novel biomarkers are highly warranted for this disease. OBJECTIVE: Evaluation of novel long non-coding RNAs biomarkers for breast cancer. METHODS: The study comprised the analysis of the expression of 71 candidate lncRNAs via screening, six of which (four underexpressed, two overexpressed) were validated and analyzed by qPCR in tumor tissues associated with NST breast carcinomas, compared with the benign samples and with respect to their clinicopathological characteristics. RESULTS: The …results indicated the tumor suppressor roles of PTENP1, GNG12-AS1, MEG3 and MAGI2-AS3. Low levels of both PTENP1 and GNG12-AS1 were associated with worsened progression-free and overall survival rates. The reduced expression of GNG12-AS1 was linked to the advanced stage. A higher grade was associated with the lower expression of PTENP1, GNG12-AS1 and MAGI2-AS3. Reduced levels of both MEG3 and PTENP1 were linked to Ki-67 positivity. The NRSN2-AS1 and UCA1 lncRNAs were overexpressed; higher levels of UCA1 were associated with multifocality. CONCLUSIONS: The results suggest that the investigated lncRNAs may play important roles in breast cancer and comprise a potential factor that should be further evaluated in clinical studies. Show more
Keywords: Breast cancer, GNG12-AS1, clinical outcomes, long non-coding RNAs, MAGI2-AS3, MEG3, NRSN2-AS1, PTENP1, UCA1
DOI: 10.3233/CBM-230259
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Xie, Kai | Wang, Bin | Pang, Pei | Li, Guangbin | Yang, Qianqian | Fang, Chen | Jiang, Wei | Feng, Yu | Ma, Haitao
Article Type: Research Article
Abstract: BACKGROUND: Lung adenocarcinoma (LUAD) is a prevalent form of malignancy globally. Disulfidptosis is novel programmed cell death pathway based on disulfide proteins, may have a positive impact on the development of LUAD treatment strategies. OBJECTIVE: To investigate the impact of disulfidptosis-related genes (DRGs) on the prognosis of LUAD, developed a risk model to facilitate the diagnosis and prognostication of patients. We also explored ACTN4 (DRGs) as a new therapeutic biomarker for LUAD. METHODS: We investigated the expression patterns of DRGs in both LUAD and noncancerous tissues. To assess the prognostic value of …the DRGs, we developed risk models through univariate Cox analysis and lasso regression. The expression and function of ACTN4 was evaluated by qRT-PCR, immunohistochemistry and in vitro experiments. The TIMER examined the association between ACTN4 expression and immune infiltration in LUAD. RESULTS: Ten differentially expressed DRGs were identified. And ACTN4 was identified as potential risk factors through univariate Cox regression analysis (P < 0.05). ACTN4 expression and riskscore were used to construct a risk model to predict overall survival in LUAD, and high-risk demonstrated a significantly higher mortality rate compared to the low-risk cohort. qRT-PCR and immunohistochemistry assays indicated ACTN4 was upregulated in LUAD, and the upregulation was associated with clinicopathologic features. In vitro experiments showed the knockdown of ACTN4 expression inhibited the proliferation in LUAD cells. The TIMER analysis demonstrated a correlation between the expression of ACTN4 and the infiltration of diverse immune cells. Elevated ACTN4 expression was associated with a reduction in memory B cell count. Additionally, the ACTN4 expression was associated with m6A modification genes. CONCLUSIONS: Our study introduced a prognostic model based on DRGs, which could forecast the prognosis of patients with LUAD. The biomarker ACTN4 exhibits promise for the diagnosis and management of LUAD, given its correlation with tumor immune infiltration and m6A modification. Show more
Keywords: Disulfidptosis, lung adenocarcinoma, ACTN4, immune infiltration, therapeutic target
DOI: 10.3233/CBM-230276
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Liu, Yang | Pang, Zhongqi | Wang, Jianshe | Wang, Jinfeng | Ji, Bo | Xu, Yidan | He, Jiaxin | Zhang, Lu | Han, Yansong | Shen, Linkun | Xu, Wanhai | Ren, Minghua
Article Type: Research Article
Abstract: BACKGROUND: N6-methyladenosine (m6A) is the most frequent RNA modification in mammals, and its role in bladder cancer (BC) remains rarely revealed. OBJECTIVE: To predict the value of m6A-related genes in prognosis and immunity in BC. METHODS: We performed multiple omics analysis of 618 TCGA and GEO patients and used principal component analysis (PCA) to calculate the m6A score for BC patients. RESULTS: We described the multiple omics status of 23 m6A methylation-related genes (MRGs), and four m6A clusters were identified, which showed significant differences in immune infiltration and biological pathways. …Next, we intersected the differential genes among m6A clusters, and 11 survival-related genes were identified, which were used to calculate the m6A score for the patients. We found that the high-score (HS) group showed lower tumor mutation burden (TMB) and TP53 mutations and better prognosis than the low-score (LS) group. Lower immune infiltration, higher expression of PD-L1, PD-1, and CTLA4, and higher immune dysfunction and immune exclusion scores were identified in the LS group, suggesting a higher possibility of immune escape. Finally, the experimental verification shows that the m6A related genes, such as IGFBP1, plays an important role in the growth and metastasis of bladder cancer. CONCLUSIONS: These findings revealed the important roles of m6A MRGs in predicting prognosis, TMB status, TP53 mutation, immune functions and immunotherapeutic response in BC. Show more
Keywords: N6-methyladenosine, bladder cancer, prognosis, immunotherapy, m6A score
DOI: 10.3233/CBM-230286
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-16, 2024
Authors: Li, Wuping | Yao, Ruizhe | Yu, Nasha | Zhang, Weiming
Article Type: Research Article
Abstract: BACKGROUND: Therapies for diffuse large B-cell lymphoma (DLBCL) are limited due to the diverse gene expression profiles and complicated immune microenvironments, making it an aggressive lymphoma. Beyond this, researches have shown that ferroptosis contributes to tumorigenesis, progression, and metastasis. We thus are interested to dissect the connection between ferroptosis and disease status of DLBCL. We aim at generating a valuable prognosis gene signature for predicting the status of patients of DLBCL, with focus on ferroptosis-related genes (FRGs). OBJECTIVE: To examine the connection between ferroptosis-related genes (FRGs) and clinical outcomes in DLBCL patients based on public datasets. …METHODS: An expression profile dataset for DLBCL was downloaded from GSE32918 (https://www.ncbi.nlm.nih.gov/geo/ query/acc.cgi?acc=gse32918 ), and a ferroptosis-related gene cluster was obtained from the FerrDb database (http://www. zhounan.org/ferrdb/ ). A prognostic signature was developed from this gene cluster by applying a least absolute shrinkage and selection operator (LASSO) Cox regression analysis to GSE32918, followed by external validation. Its effectiveness as a biomarker and the prognostic value was determined by a receiver operator characteristic curve mono factor analysis. Finally, functional enrichment was evaluated by the package Cluster Profiler of R. RESULTS: Five ferroptosis-related genes (FRGs) (GOP1 , GPX2 , SLC7A5 , ATF4 , and CXCL2 ) associated with DLBCL were obtained by a multivariate analysis. The prognostic power of these five FRGs was verified by TCGA (https://xenabrowser.net/datapages/?dataset=TCGA.DLBC.sampleMap%2FHiSeqV2_PANCAN&host=https%3A%2F%2Ftcga.xenahubs.net&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A44 ) and GEO (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=gse 32918 ) datasets, with ROC analyses. KEGG and GO analyses revealed that upregulated genes in the high-risk group based on the gene signature were enriched in receptor interactions and other cancer-related pathways, including pathways related to abnormal metabolism and cell differentiation. CONCLUSION: The newly developed signature involving GOP1 , GPX2 , SLC7A5 , ATF4 , and CXCL2 has the potential to serve as a prognostic biomarker. Furthermore, our results provide additional support for the contribution of ferroptosis to DLBCL. Show more
Keywords: GOP1, GPX2, SLC7A5, ATF4, CXCL2, ferroptosis-related genes, DLBCL
DOI: 10.3233/CBM-230325
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Wang, Tianxiang | Qian, Luxi | Zhang, Pingchuan | Du, Mingyu | Wu, Jing | Peng, Fanyu | Yao, Chengyun | Yin, Rong | Yin, Li | He, Xia
Article Type: Research Article
Abstract: INTRODUCTION: GINS2 exerts a carcinogenic effect in multiple human malignancies, while it is still unclear that the potential roles and underlying mechanisms of GINS2 in HNSCC. METHODS: TCGA database was used to screen out genes with significant differences in expression in HNSCC. Immunohistochemistry and qRT-PCR were used to measure the expression of GINS2 in HNSCC tissues and cells. GINS2 was detected by qRT-PCR or western blot after knockdown or overexpression. Celigo cell counting, MTT, colony formation, and flow cytometric assay were used to check the ability of proliferation and apoptosis. Bioinformatics and microarray were used to …screen out the downstream genes of GINS2. RESULTS: GINS2 in HNSCC tissues and cells was up-regulated, which was correlated with poor prognosis. GINS2 gene expression was successfully inhibited and overexpressed in HNSCC cells. Knockdown of GINS2 could inhibit proliferation and increase apoptosis of cells. Meanwhile, overexpression of GINS2 could enhance cell proliferation and colony formation. Knockdown of RRM2 may inhibit HNSCC cell proliferation, while overexpression of RRM2 rescued the effect of reducing GINS2 expression. CONCLUSION: Our study reported the role of GINS2 in HNSCC for the first time. The results demonstrated that in HNSCC cells, GINS2 promoted proliferation and inhibited apoptosis via altering RRM2 expression. Therefore, GINS2 might play a carcinogen in HNSCC, and become a specific promising therapeutic target. Show more
Keywords: HNSCC, GINS2, RRM2, proliferation, apoptosis
DOI: 10.3233/CBM-230337
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Priya C V, Lakshmi | V G, Biju | B R, Vinod | Ramachandran, Sivakumar
Article Type: Research Article
Abstract: BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide. Histopathology analysis of breast tissue is an essential tool for diagnosing and staging breast cancer. In recent years, there has been a significant increase in research exploring the use of deep-learning approaches for breast cancer detection from histopathology images. OBJECTIVE: To provide an overview of the current state-of-the-art technologies in automated breast cancer detection in histopathology images using deep learning techniques. METHODS: This review focuses on the use of deep learning algorithms for the detection and classification of breast …cancer from histopathology images. We provide an overview of publicly available histopathology image datasets for breast cancer detection. We also highlight the strengths and weaknesses of these architectures and their performance on different histopathology image datasets. Finally, we discuss the challenges associated with using deep learning techniques for breast cancer detection, including the need for large and diverse datasets and the interpretability of deep learning models. RESULTS: Deep learning techniques have shown great promise in accurately detecting and classifying breast cancer from histopathology images. Although the accuracy levels vary depending on the specific data set, image pre-processing techniques, and deep learning architecture used, these results highlight the potential of deep learning algorithms in improving the accuracy and efficiency of breast cancer detection from histopathology images. CONCLUSION: This review has presented a thorough account of the current state-of-the-art techniques for detecting breast cancer using histopathology images. The integration of machine learning and deep learning algorithms has demonstrated promising results in accurately identifying breast cancer from histopathology images. The insights gathered from this review can act as a valuable reference for researchers in this field who are developing diagnostic strategies using histopathology images. Overall, the objective of this review is to spark interest among scholars in this complex field and acquaint them with cutting-edge technologies in breast cancer detection using histopathology images. Show more
Keywords: Computer-aided detection, breast cancer, histopathology images, deep learning, Convolutional Neural Network (CNN)
DOI: 10.3233/CBM-230251
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-25, 2024
Authors: Li, Thomas Z. | Xu, Kaiwen | Chada, Neil C. | Chen, Heidi | Knight, Michael | Antic, Sanja | Sandler, Kim L. | Maldonado, Fabien | Landman, Bennett A. | Lasko, Thomas A.
Article Type: Research Article
Abstract: BACKGROUND: Large community cohorts are useful for lung cancer research, allowing for the analysis of risk factors and development of predictive models. OBJECTIVE: A robust methodology for (1) identifying lung cancer and pulmonary nodules diagnoses as well as (2) associating multimodal longitudinal data with these events from electronic health record (EHRs) is needed to optimally curate cohorts at scale. METHODS: In this study, we leveraged (1) SNOMED concepts to develop ICD-based decision rules for building a cohort that captured lung cancer and pulmonary nodules and (2) clinical knowledge to define time windows for …collecting longitudinal imaging and clinical concepts. We curated three cohorts with clinical data and repeated imaging for subjects with pulmonary nodules from our Vanderbilt University Medical Center. RESULTS: Our approach achieved an estimated sensitivity 0.930 (95% CI: [0.879, 0.969]), specificity of 0.996 (95% CI: [0.989, 1.00]), positive predictive value of 0.979 (95% CI: [0.959, 1.000]), and negative predictive value of 0.987 (95% CI: [0.976, 0.994]) for distinguishing lung cancer from subjects with SPNs. CONCLUSION: This work represents a general strategy for high-throughput curation of multi-modal longitudinal cohorts at risk for lung cancer from routinely collected EHRs. Show more
Keywords: Pulmonary nodules, lung cancer, EHR mining, multimodal longitudinal cohorts
DOI: 10.3233/CBM-230340
Citation: Cancer Biomarkers, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
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