{"title":"Diagnostic utility of lipocalin 2 and metalloproteinase 9 levels in early-stage endometrial cancer.","authors":"Songül Ünüvar, Rauf Melekoğlu, Hande Yüce, Nesibe Zeyveli Çelik, Ezgi Bulut Okumuş, Serhat Toprak, Kevser Tanbek, Şeyma Yaşar, Ayşegül Doğan, Neşe Başak Türkmen, Ercan Yılmaz, Süleyman Sandal","doi":"10.1177/18758592241290951","DOIUrl":"https://doi.org/10.1177/18758592241290951","url":null,"abstract":"<p><strong>Background: </strong>Endometrial cancer (EC) is the fourth most common gynecologic malignancy among women. Histopathologic examination is considered gold-standard for diagnosis of EC. However, these examinations sometimes not be useful in distinguishing early stage types of EC.</p><p><strong>Objectives: </strong>The current study aimed to investigate the clinicopathological significance of Lipocalin-2 (LCN2), matrix metalloproteinase-9 (MMP9), and ferritin in tumor progression.</p><p><strong>Methods: </strong>A total of 98 patients (55 women newly diagnosed with early-stage endometrial cancer [study group] and 43 women with benign endometrial pathologies [control group]) were enrolled.</p><p><strong>Results: </strong>There was a significant difference between diagnosis (p < 0.001), surgical procedure (p < 0.001), pathology (p = 0.002), stage (p < 0.001), lymphovascular invasion (LVI) (p = 0.002), myometrial invasion (p < 0.001), and staining intensity (p < 0.001), MMP9 (p = 0.023), LCN2 (p < 0.001), glucocorticoid (GC) (p = 0.048), tumor necrosis factor-alpha (TNF-α) (p = 0.044), menopause duration (p = 0.001), body weight (p < 0.001), and body mass index (BMI) (p < 0.001) were found to be higher, and ferritin levels (p = 0.047) were lower in the endometrial adenocarcinoma group compared to the benign endometrial pathologies.</p><p><strong>Conclusion: </strong>LCN2, MMP9, and ferritin are practical markers in early cases of endometrial cancer. Serum LCN2 and MMP9 levels may be good clinical tools for the auxiliary diagnosis of early-stage endometrial cancer. Ferritin was also significantly sensitive. Therefore, detecting these markers together may be more beneficial for cancer diagnosis.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3","pages":"18758592241290951"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of RNA-binding protein RBMS3 as a potential biomarker for immunotherapy in bladder cancer.","authors":"Tarimo Fredrick Praygod, Jinlong Li, Hongwei Li, Wanlong Tan, Zhiming Hu, Li Zhou","doi":"10.3233/CBM-230489","DOIUrl":"10.3233/CBM-230489","url":null,"abstract":"<p><p>RNA-binding protein (RBP) plays pivotal roles in the malignant progression of cancer by regulating gene expression. In this paper, we aimed to develop RBP-based prognostic signature and identify critical hub RBPs in bladder cancer (BLCA). Firstly, a risk model based on differentially expressed RBP gens (DERBPs) between normal and tumor tissues was successfully established, which can predict the tumor stromal score and drug sensitivity. Then two another RBP risk models based on miRNA-correlated RBPs or lncRNA-correlated RBPs were also established, and <i>RBMS3</i> was identified as the overlapping gene in the three models. Data from multiple bioinformatics databases revealed that <i>RBMS3</i> was an independent prognostic factor for overall survival (OS), and was associated with an immunosuppressive tumor microenvironment (TME) in BLCA. Further, Single-cell RNA-Seq (scRNA-Seq) data and the human protein altas (HPA) database showed that RBMS3 expression (both mRNA and protein) were up-regulated in BLCA tumor and tumor stromal cells. Finally, <i>RBMS3</i> was shown to be associated with worse response to BLCA immunotherapy. Overall, RBMS3 is a key prognostic RBP with TME remodeling function and may serve as a target for BLCA immunotherapy.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":" ","pages":"CBM230489"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer BiomarkersPub Date : 2024-12-01Epub Date: 2025-02-05DOI: 10.3233/CBM-240119
Ayana Meegol Rasteh, Hengrui Liu, Panpan Wang
{"title":"Pan-cancer genetic profiles of mitotic DNA integrity checkpoint protein kinases.","authors":"Ayana Meegol Rasteh, Hengrui Liu, Panpan Wang","doi":"10.3233/CBM-240119","DOIUrl":"https://doi.org/10.3233/CBM-240119","url":null,"abstract":"<p><p><b>Background:</b> The mitotic DNA integrity checkpoint signaling pathway is potentially involved in cancers that regulate genomic stability where protein kinases play a pivotal role. 16 total protein kinase genes are involved in this pathway: ATM, BRSK1, CDK1, CDK2, CHEK1, CHEK2, MAP3K20, NEK11, PLK1, PLK2, PLK3, PRKDC, STK33, TAOK1, TAOK2, and TAOK3. This study aims to provide pan-cancer profiles of the protein kinases in mitotic DNA integrity checkpoint signaling gene set for potential prognostic and diagnostic purposes, as well as future potential therapeutic targets for cancer in a clinical setting. <b>Methods:</b> Multi-omic data was acquired for the 16 genes; over 9000 samples of 33 types of cancer were analyzed to create pan-cancer profiles of SNV, CNV, methylation, mRNA expression, pathway crosstalk, and microRNA regulation networks. <b>Results:</b> The SNV profile showed that most of these genes have a high SNV mutation frequency across some cancer types, such as UCEC and SKCM. The CNVs of some of these genes are associated with the survival of UCEC, KIRP, and LGG. BRCA, KIRC, LUAD, and STAD might be affected by the mRNA expression of these genes which might involve regulation of copy number, methylation, and miRNA. In addition, these genes also cross-talk with some known cancer pathways. <b>Conclusion:</b> The protein kinases in mitotic DNA integrity checkpoint signaling may play a role in cancer development and, with adequate research, could potentially be developed as biomarkers for cancer diagnosis and prognosis. However, further efforts are necessary to validate their clinical value for diagnosis and prognosis and to develop practical applications in clinical settings. Nevertheless, these pan-cancer profiles offer a better overall understanding as well as useful information for future reference regarding mitotic DNA integrity checkpoint signaling in cancer.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"CBM240119"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer BiomarkersPub Date : 2024-12-01Epub Date: 2025-03-17DOI: 10.1177/18758592241296279
Xingxing Zhang, Bin Zhang, Yang He, Wei Xiong, Yuelin Du, Panfeng Shang
{"title":"A nomogram based on preoperative NLR predicts distant metastasis of urothelial carcinoma of the bladder.","authors":"Xingxing Zhang, Bin Zhang, Yang He, Wei Xiong, Yuelin Du, Panfeng Shang","doi":"10.1177/18758592241296279","DOIUrl":"https://doi.org/10.1177/18758592241296279","url":null,"abstract":"<p><p>BackgroundDistant metastasis (DM) remains the most commonly reported cause of death in patients with urothelial carcinoma of the bladder (UCB).ObjectiveWe aimed to develop a robust prognostic model to assess the risk of DM in patients with UCB.MethodsWe collected clinical data of 206 UCB patients treated with RC. Patients treated with RC between 2011-2015 that were enrolled as the training cohort (n = 105), while the patients between 2016-2019 were enrolled as the validation cohort (n = 101). Univariate and multivariate Cox regression models were used to identify independent risk factors associated with DM. We identified the variables by stepwise regression and established nomogram. We evaluated the nomograms using C-index, calibration and ROC curves. Decision curve analysis was performed to compare the net benefits between the nomogram and TNM staging. We divided the patients into high and low risk groups according to the nomogram and compared the DM between the groups.ResultsThe neutrophil-lymphocyte ratio (NLR) was an independent predictor of DM. We established nomogram by T-stage, N-stage and NLR. The C-index of the nomogram was 0.766 and 0.739 respectively in the two cohorts. In the training cohort, AUC for the nomogram at 1, 2 and 3 years was 0.816, 0.812 and 0.812, respectively. In the validation cohort, the AUC for the nomogram at 1, 2 and 3 years was 0.751, 0.757 and 0.716, respectively. The calibration curve was satisfactory. The nomogram has a higher clinical benefit compared to the TNM staging system. Kaplan-Meier curves showed that patients from the high-risk group had a higher probability of DM than patients from the low-risk group.ConclusionsNomograms established by NLR, T-stage and N-stage can accurately predict distant metastases in patients with UCB.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"18758592241296279"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of molecular biomarkers associated with non-small-cell lung carcinoma (NSCLC) using whole-exome sequencing.","authors":"Varsha Singh, Amit Katiyar, Prabhat Malik, Sunil Kumar, Anant Mohan, Harpreet Singh, Deepali Jain","doi":"10.3233/CBM-220211","DOIUrl":"10.3233/CBM-220211","url":null,"abstract":"<p><p>ObjectivesSignificant 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).MethodsWES 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.ResultsWe 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 (<i>n</i> = 10), deleterious (<i>n</i> = 8), and variant of uncertain significance (<i>n</i> = 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.ConclusionsOur 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.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":" ","pages":"CBM220211"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10570827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Guo, Yue Han, Qiaoyi Zhou, Jihua Chen, Mengyi Wang, Xiaotong Deng, Zhenrong Wang, Fan Li, Yao Xu
{"title":"GABPα inhibits tumor progression and angiogenesis via a novel 18-bp indel within <i>VEGF</i> promoter in breast cancer.","authors":"Hui Guo, Yue Han, Qiaoyi Zhou, Jihua Chen, Mengyi Wang, Xiaotong Deng, Zhenrong Wang, Fan Li, Yao Xu","doi":"10.3233/CBM-230541","DOIUrl":"https://doi.org/10.3233/CBM-230541","url":null,"abstract":"<p><strong>Background: </strong>Pathological angiogenesis is crucial for tumor progression, thus targeting neovascularization is regarded as an effective strategy for cancer therapy. Vascular endothelial growth factor (VEGF), a specific pro-vascular endothelial regulator, contributes to aberrant tumor angiogenesis.</p><p><strong>Objective: </strong>To identify sequence polymorphisms of VEGF gene and the effects on breast cancer.</p><p><strong>Methods: </strong>Protein-DNA binding was validated by EMSA and ChIP assay. Gene expression levels were detected by qPCR and western blot. The CCK-8, wound healing and transwell assays were used to assess proliferation, migration, and invasion. Tube formation, CAM, ELISA and IHC assays were performed to evaluate tumor angiogenesis.</p><p><strong>Results: </strong>A novel 18-bp indel mutation of the VEGF promoter was detected in breast cancer cases, and the deletion allele (DD) presented dominant distribution in patients comparing to the insert type (II). Further analysis revealed that the 18-bp deletion eliminated the recognition sites of GA binding protein alpha (GABPα), which was confirmed by binding experiments. Functionally, the GABPα expression is decreased in breast cancer tissues, and acts as a tumor suppressor to inhibit proliferation, migration, invasion and angiogenesis of breast cancer cells, accompanied by accelerated tumor cell apoptosis. In addition, consistent regulatory roles were investigated in mouse models in response to GABPα overexpression or knockdown as well. Mechanistically, we revealed that GABPα inhibited breast cancer progression and angiogenesis by downregulating VEGF transcription via the 18-bp promoter sequences.</p><p><strong>Conclusions: </strong>Our findings provide insights into angiogenic targeted strategy aiming at GABPα-VEGF axis in clinical diagnosis and therapy of breast cancer.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3","pages":"CBM230541"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143460947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer BiomarkersPub Date : 2024-12-01Epub Date: 2025-03-17DOI: 10.1177/18758592241296764
Keke Tang, Ji Shen, Dan Liu, Jia Che, Qifen Mao, Yixuan Zhou, Hainan Ye
{"title":"Identification of the molecular subtype and prognostic characteristics of lung adenocarcinoma based on CD8<sup>+</sup> T cell-related gene signature.","authors":"Keke Tang, Ji Shen, Dan Liu, Jia Che, Qifen Mao, Yixuan Zhou, Hainan Ye","doi":"10.1177/18758592241296764","DOIUrl":"10.1177/18758592241296764","url":null,"abstract":"<p><p>BackgroundLung adenocarcinoma (LUAD) stands as a major respiratory malignancy with high mortality. With the advent of immunotherapy, new therapeutic avenues have emerged in cancer treatment.ObjectiveOur focus aimed at developing a CD8<sup>+</sup> T cell-based immune gene prognostic model (CDIGPM) for LUAD, shedding light on the immunological aspects and the potential advantages of immunotherapy in distinct CDIGPM-defined LUAD categories.MethodsData from LUAD patients were extracted from the TCGA and GEO databases (GSE11969). The differentially expressed genes (DEGs) were intersected with immune genes from ImmPort and InnateDB, yielding 89 significant immune genes related to CD8<sup>+</sup> T cells (CDIGs). Univariate Cox regression and LASSO regression analyses were performed on 10 hub CDIGs (ADM, CAV1, CTSL, HLA-DMB, HLA-DQA1, IGHM, PLSCR1, PTGDS, S100A16, and WFDC2). Furthermore, the immunological attributes and the immunotherapy efficacy in CDIGPM-defined categories were explored. Moreover, to support the findings of the bioinformatics analysis, fifteen LUAD patients' tumor and adjacent tissues were collected for qRT-PCR detection of CDIGPM-related genes.ResultsKaplan-Meier analysis revealed that the high-CDIGPM group exhibited significantly poorer overall survival (OS) trajectories, whereas the low-CDIGPM group showed more favorable OS trajectories, indicating a better prognosis. Age, tumor stage, and CDIGPM score were identified as independent prognostic factors. The high-CDIGPM group was enriched in pathways related to the cell cycle, focal adhesion, and cancer, while the low-CDIGPM group was associated with immune response-related pathways. The CDIGPM model effectively differentiated clinical subtypes in patients with LUAD. QRT-PCR detection of Clinical LUAD samples also validated the differentially expression of CDIGPM model related genes.ConclusionsThe study highlights the prognostic importance of CDIGs in LUAD using the CDIGPM model, linking age, stage and CDIGPM score to poor outcomes. The identified genes and pathways provide potential therapeutic targets, deepening our understanding of LUAD's molecular landscape.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"18758592241296764"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hsa_circ_0002346 inhibits proliferation, invasion, and migration of breast cancer cells and promotes apoptosis: A novel potential biomarker for breast cancer.","authors":"Yixin Zhou, Linyi Wang, Wangjin Xu, Jiaxiang An, Guoming Hu, Feilin Cao, Liming Huang","doi":"10.1177/18758592241297847","DOIUrl":"https://doi.org/10.1177/18758592241297847","url":null,"abstract":"<p><p>BackgroundCircular RNA hsa_circ_0002346 has been implicated in the progression of various tumors, yet the functional role in breast cancer remains poorly understood. This study aimed to investigate the significance of hsa_circ_0002346 in breast cancer (BC).MethodsQuantitative reverse transcriptase polymerase chain reaction assays were performed to detect hsa_circ_0002346 expression in BC cell lins and 27 patients with BC. Then, siRNAs were used to knock down hsa_circ_0002346. And detecting function of downregulated hsa_circ_0002346 by proliferation colony formation, apoptosis assays, wound-healing assays and Transwell assays. Finally, we assess the levels of the EMT-associated proteins.ResultsOur findings suggest that hsa_circ_0002346 levels were significantly downregulated in breast cancer and may play a crucial role in regulating key cellular processes associated with cancer progression. The expression level of hsa_circ_0002346 was correlated with lymph node metastasis. The knockdown of hsa_circ_0002346 resulted in increased tumor cell proliferation, invasion, migration and decreased apoptosis. Additionally, alterations in the expression of EMT-associated proteins further support the hypothesis that hsa_circ_0002346 is implicated in the metastatic processes of breast cancer.Conclusionhsa_circ_0002346 emerges as a promising biomarker for breast cancer and a potential therapeutic target for future treatment strategies.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"18758592241297847"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer BiomarkersPub Date : 2024-12-01Epub Date: 2025-02-05DOI: 10.1177/18758592241296287
Yunli Shao, Tong Qin
{"title":"High TCTA expression is an adverse prognostic biomarker in acute myeloid leukemia.","authors":"Yunli Shao, Tong Qin","doi":"10.1177/18758592241296287","DOIUrl":"https://doi.org/10.1177/18758592241296287","url":null,"abstract":"<p><p>BackgroundAcute myeloid leukemia (AML) prognosis varies greatly, underscoring the need for novel biomarkers to improve patient stratification. T-cell leukemia translocation-associated gene (TCTA) has emerged as a potential player in hematological malignancies, yet its role in AML remains unexplored.ObjectiveTo investigate the prognostic significance of TCTA in AML and elucidate its functional mechanisms.MethodsRNA sequencing data from 173 AML patients (TCGA) and 70 normal controls (GTEx) were analyzed. Patients were categorized into high and low TCTA expression groups. Bioinformatics tools assessed Gene Ontology, KEGG pathways, and immune infiltration and constructed a nomogram predicting 1-5-year overall survival (OS).ResultsHigh TCTA expression correlated with significantly reduced OS (<i>P</i> < 0.001), with multivariate analysis identifying TCTA expression alongside age and cytogenetic risk as independent OS predictors. Receiver operating characteristic analysis validated TCTA's diagnostic potential. Enrichment analyses implicated TCTA in pathways critical to AML, such as hematopoiesis, p53 signaling, and DNA methylation, with a notable association with natural killer (NK) cell activity.ConclusionsElevated TCTA expression signifies poor prognosis in AML, positioning it as a promising prognostic biomarker. Its involvement in key AML-related pathways highlights TCTA's functional relevance and potential as a therapeutic target in AML management.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"18758592241296287"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cancer BiomarkersPub Date : 2024-12-01Epub Date: 2025-03-17DOI: 10.1177/18758592241296285
Lingxue Tang, Tong Wang
{"title":"A fatty acid metabolism-related genes model for predicting the prognosis and immunotherapy effect of lung adenocarcinoma.","authors":"Lingxue Tang, Tong Wang","doi":"10.1177/18758592241296285","DOIUrl":"https://doi.org/10.1177/18758592241296285","url":null,"abstract":"<p><p>ObjectiveLung adenocarcinoma (LUAD) is a common and highly heterogeneous malignancy cancer with increasing morbidity and mortality. Dysregulation of fatty acid metabolism (FAM) has been identified as a key regulator of LUAD progression. Our purpose was to establish a risk model of FAM-related genes to provide a reference for the prognosis prediction of LUAD.MethodsFirstly, we screened FAM-related differentially expressed genes (DEGs) based on the Cancer Genome Atlas (TCGA) database, and identified the prognostic signatures by Cox-regression analysis. The least absolute shrinkage and selection operator algorithm (LASSO) was used to obtain the formula for risk model. And the analysis of Gene Expression Omnibus (GEO) dataset used to verify. Nomogram was produced for individualized prediction in clinical treatment. Immune cell function and drug sensitivity analysis used to screen potential therapeutic drugs.ResultsPatients in low-risk had better overall survival (OS). High-risk patients exhibit higher TMB and lower TIDE scores, and they are more likely to benefit from immunotherapy. The analysis of GEO verified that risk model has a high prediction accuracy.ConclusionThe risk model based on 17 FAM-related DEGs is of great value in predicting the prognosis of LUAD, and these prognostic signatures may be potential therapeutic targets for LUAD.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"41 3-4","pages":"18758592241296285"},"PeriodicalIF":2.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}