The role of KRT18 in lung adenocarcinoma development: integrative bioinformatics and experimental validation

Shi P, Li Z, Zhang Y, Shen C, Xia Q, Cao C, et al. Surgery or radiotherapy improves survival in elderly patients with early non-small cell lung cancer: a population-based analysis. J Can Res Ther. 2024;20(4):1251–7. https://doi.org/10.4103/jcrt.jcrt_973_23.

Article  Google Scholar 

Kenessey I, Parrag P, Dobozi M, Szatmári I, Wéber A, Nagy P, et al. The epidemiology of lung cancer in Hungary based on the characteristics of patients diagnosed in 2018. Sci Rep. 2024. https://doi.org/10.1038/s41598-024-70143-w.

Article  PubMed  PubMed Central  Google Scholar 

Ren Q, Zhang P, Lin H, Feng Y, Chi H, Zhang X, et al. A novel signature predicts prognosis and immunotherapy in lung adenocarcinoma based on cancer-associated fibroblasts. Front Immunol. 2023. https://doi.org/10.3389/fimmu.2023.1201573.

Article  PubMed  PubMed Central  Google Scholar 

Watanabe S, Yotsukura M, Miyoshi T, Hattori A, Isaka T, Maniwa T, et al. Updated review of perioperative treatment for non-small-cell lung cancer in the new era of immune checkpoint inhibitors: past, present, and future. Jpn J Clin Oncol. 2024. https://doi.org/10.1093/jjco/hyae106.

Article  PubMed  PubMed Central  Google Scholar 

Huet C, Basse C, Knetki-Wroblewska M, Chilczuk P, Bonte PE, Cyrille S, et al. Outcomes analysis of patients receiving local ablative therapy for oligoprogressive metastatic NSCLC under first-line immunotherapy. Clin Lung Cancer. 2024. https://doi.org/10.1016/j.cllc.2024.07.009.

Article  PubMed  Google Scholar 

Tan Z, Ko JM-Y, Yu VZ, Lam K-O, Kwong DL-W, Wong IY-H, et al. Multigene profiling of circulating tumor cells in esophageal squamous cell carcinoma identifies prognostic cancer driver genes associated with epithelial–mesenchymal-transition progression and chemoresistance. Cancers. 2023;15(22):5329. https://doi.org/10.3390/cancers15225329.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jung M, Kim B, Lee JS, Kim JY, Han D, Kim K, et al. KRT18 as a novel biomarker of urothelial papilloma while evaluating low-grade papillary urothelial neoplasms: bi-center analysis. Pathobiology. 2024. https://doi.org/10.1159/000540926.

Article  PubMed  Google Scholar 

Komura K, Tokushige S, Ishida M, Hirosuna K, Yamazaki S, Nishimura K, et al. Tertiary lymphoid structure and neutrophil–lymphocyte ratio coordinately predict outcome of pembrolizumab. Cancer Sci. 2023;114(12):4622–31. https://doi.org/10.1111/cas.15976.

Article  CAS  PubMed  PubMed Central  Google Scholar 

WalyEldeen AA, Sabet S, Anis SE, Stein T, Ibrahim AM. FBLN2 is associated with basal cell markers Krt14 and ITGB1 in mouse mammary epithelial cells and has a preferential expression in molecular subtypes of human breast cancer. Breast Cancer Res Treat. 2024. https://doi.org/10.1007/s10549-024-07447-y.

Article  PubMed  PubMed Central  Google Scholar 

Li G, Guo J, Mou Y, Luo Q, Wang X, Xue W, et al. Keratin gene signature expression drives epithelial–mesenchymal transition through enhanced TGF-β signaling pathway activation and correlates with adverse prognosis in lung adenocarcinoma. Heliyon. 2024;10(3): e24549. https://doi.org/10.1016/j.heliyon.2024.e24549.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ma Q, Zhang J, Huang J, Wang X, Xiao F, Xing H, et al. Decreased miR-940 expression can predict a negative prognosis in early-stage nonsmoking female lung adenocarcinoma. Transl Lung Cancer Res. 2021;10(11):4293–302. https://doi.org/10.21037/tlcr-21-906.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Győrffy B. Transcriptome-level discovery of survival-associated biomarkers and therapy targets in non-small-cell lung cancer. Br J Pharmacol. 2023;181(3):362–74. https://doi.org/10.1111/bph.16257.

Article  CAS  PubMed  Google Scholar 

Wang Z, Mu L, Feng H, Yao J, Wang Q, Yang W, et al. Expression patterns of platinum resistance-related genes in lung adenocarcinoma and related clinical value models. Front Genet. 2022. https://doi.org/10.3389/fgene.2022.993322.

Article  PubMed  PubMed Central  Google Scholar 

Tomczak K, Czerwińska P, Wiznerowicz M. Review the cancer genome atlas (TCGA): an immeasurable source of knowledge. Wo. 2015;1A:68–77. https://doi.org/10.5114/wo.2014.47136.

Article  Google Scholar 

Uhlen M, Oksvold P, Fagerberg L, Lundberg E, Jonasson K, Forsberg M, et al. Towards a knowledge-based human protein atlas. Nat Biotechnol. 2010;28(12):1248–50. https://doi.org/10.1038/nbt1210-1248.

Article  CAS  PubMed  Google Scholar 

Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, et al. Tissue-based map of the human proteome. Science. 2015;347(6220):1260419–1260419. https://doi.org/10.1126/science.1260419.

Article  CAS  PubMed  Google Scholar 

Rudnick PA, Markey SP, Roth J, Mirokhin Y, Yan X, Tchekhovskoi DV, et al. A description of the clinical proteomic tumor analysis consortium (CPTAC) common data analysis pipeline. J Proteome Res. 2016;15(3):1023–32. https://doi.org/10.1021/acs.jproteome.5b01091.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tu H, Hu Q, Ma Y, Huang J, Luo H, Jiang L, et al. Deciphering the tumour microenvironment of clear cell renal cell carcinoma: prognostic insights from programmed death genes using machine learning. J Cell Mol Med. 2024. https://doi.org/10.1111/jcmm.18524.

Article  PubMed  PubMed Central  Google Scholar 

Jiang L, Zhang S, Jiang C, Chen H, Huang J, Yang J, et al. Integrative biomarker discovery and immune profiling for ulcerative colitis: a multi-methodological approach. Sci Rep. 2024. https://doi.org/10.1038/s41598-024-75797-0.

Article  PubMed  PubMed Central  Google Scholar 

Jiang L, Ren X, Yang J, Chen H, Zhang S, Zhou X, et al. Mitophagy and clear cell renal cell carcinoma: insights from single-cell and spatial transcriptomics analysis. Front Immunol. 2024. https://doi.org/10.3389/fimmu.2024.1400431.

Article  PubMed  PubMed Central  Google Scholar 

Zhang S, Jiang C, Jiang L, Chen H, Huang J, Gao X, et al. Construction of a diagnostic model for hepatitis B-related hepatocellular carcinoma using machine learning and artificial neural networks and revealing the correlation by immunoassay. Tumour Virus Res. 2023;16:200271–200271. https://doi.org/10.1016/j.tvr.2023.200271.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yan J, Fang Z, Shi M, Tu C, Zhang S, Jiang C, et al. Clinical significance of disulfidptosis-related genes and functional analysis in gastric cancer. J Cancer. 2024;15(4):1053–66. https://doi.org/10.7150/jca.91796.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tang J, Zhang S, Jiang L, Liu J, Xu J, Jiang C, et al. Causal relationship between immune cells and hepatocellular carcinoma: a Mendelian randomisation study. J Cancer. 2024;15(13):4219–31. https://doi.org/10.7150/jca.96744.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jiang L, Liu J, Zhang S, Jiang C, Huang J, Chen H, et al. Role of glycosylation-related gene MGAT1 in pancreatic ductal adenocarcinoma. Front Immunol. 2024. https://doi.org/10.3389/fimmu.2024.1438935.

Article  PubMed  PubMed Central  Google Scholar 

Yoshihara K, Shahmoradgoli M, Martínez E, Vegesna R, Kim H, Torres-Garcia W, et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun. 2013. https://doi.org/10.1038/ncomms3612.

Article  PubMed  Google Scholar 

Bindea G, Mlecnik B, Tosolini M, Kirilovsky A, Waldner M, Obenauf AC, et al. Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer. Immunity. 2013;39(4):782–95. https://doi.org/10.1016/j.immuni.2013.10.003.

Article  CAS  PubMed  Google Scholar 

Hänzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinform. 2013;14(1):7. https://doi.org/10.1186/1471-2105-14-7.

Article  Google Scholar 

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