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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
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