Literature DB >> 33691026

A multi-scale integrated analysis identifies KRT8 as a pan-cancer early biomarker.

Madeleine K D Scott1, Maneesha Limaye, Steven Schaffert, Robert West, Michael G Ozawa, Pauline Chu, Viswam S Nair, Albert C Koong, Purvesh Khatri.   

Abstract

An early biomarker would transform our ability to screen and treat patients with cancer. The large amount of multi-scale molecular data in public repositories from various cancers provide unprecedented opportunities to find such a biomarker. However, despite identification of numerous molecular biomarkers using these public data, fewer than 1% have proven robust enough to translate into clinical practice. One of the most important factors affecting the successful translation to clinical practice is lack of real-world patient population heterogeneity in the discovery process. Almost all biomarker studies analyze only a single cohort of patients with the same cancer using a single modality. Recent studies in other diseases have demonstrated the advantage of leveraging biological and technical heterogeneity across multiple independent cohorts to identify robust disease biomarkers. Here we analyzed 17149 samples from patients with one of 23 cancers that were profiled using either DNA methylation, bulk and single-cell gene expression, or protein expression in tumor and serum. First, we analyzed DNA methylation profiles of 9855 samples across 23 cancers from The Cancer Genome Atlas (TCGA). We then examined the gene expression profile of the most significantly hypomethylated gene, KRT8, in 6781 samples from 57 independent microarray datasets from NCBI GEO. KRT8 was significantly over-expressed across cancers except colon cancer (summary effect size=1.05; p < 0.0001). Further, single-cell RNAseq analysis of 7447 single cells from lung tumors showed that genes that significantly correlated with KRT8 (p < 0.05) were involved in p53-related pathways. Immunohistochemistry in tumor biopsies from 294 patients with lung cancer showed that high protein expression of KRT8 is a prognostic marker of poor survival (HR = 1.73, p = 0.01). Finally, detectable KRT8 in serum as measured by ELISA distinguished patients with pancreatic cancer from healthy controls with an AUROC=0.94. In summary, our analysis demonstrates that KRT8 is (1) differentially expressed in several cancers across all molecular modalities and (2) may be useful as a biomarker to identify patients that should be further tested for cancer.

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Year:  2021        PMID: 33691026      PMCID: PMC7958996     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  42 in total

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Review 2.  Claudin-4 as therapeutic target in cancer.

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3.  The Cancer Genome Atlas Pan-Cancer analysis project.

Authors:  John N Weinstein; Eric A Collisson; Gordon B Mills; Kenna R Mills Shaw; Brad A Ozenberger; Kyle Ellrott; Ilya Shmulevich; Chris Sander; Joshua M Stuart
Journal:  Nat Genet       Date:  2013-10       Impact factor: 38.330

Review 4.  Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.

Authors:  H Tang; S Wang; G Xiao; J Schiller; V Papadimitrakopoulou; J Minna; I I Wistuba; Y Xie
Journal:  Ann Oncol       Date:  2017-04-01       Impact factor: 32.976

5.  Pan-cancer patterns of DNA methylation.

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6.  Disease Biomarkers for Precision Medicine: Challenges and Future Opportunities.

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Authors:  Madeleine K D Scott; Katie Quinn; Qin Li; Robert Carroll; Hayley Warsinske; Francesco Vallania; Shirley Chen; Mary A Carns; Kathleen Aren; Jiehuan Sun; Kimberly Koloms; Jungwha Lee; Jessika Baral; Jonathan Kropski; Hongyu Zhao; Erica Herzog; Fernando J Martinez; Bethany B Moore; Monique Hinchcliff; Joshua Denny; Naftali Kaminski; Jose D Herazo-Maya; Nigam H Shah; Purvesh Khatri
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8.  Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR.

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9.  KRT8 upregulation promotes tumor metastasis and is predictive of a poor prognosis in clear cell renal cell carcinoma.

Authors:  Hai-Song Tan; Wei-Hua Jiang; Yi He; De-Sheng Wang; Zhen-Jie Wu; Deng-Shuang Wu; Li Gao; Yi Bao; Jia-Zi Shi; Bing Liu; Li-Jun Ma; Lin-Hui Wang
Journal:  Oncotarget       Date:  2017-07-12

10.  Correlation Patterns Between DNA Methylation and Gene Expression in The Cancer Genome Atlas.

Authors:  John Cg Spainhour; Hong Seo Lim; Soojin V Yi; Peng Qiu
Journal:  Cancer Inform       Date:  2019-02-11
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  5 in total

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Journal:  Front Oncol       Date:  2022-05-19       Impact factor: 5.738

2.  High Keratin-7 Expression in Benign Peri-Tumoral Prostatic Glands Is Predictive of Bone Metastasis Onset and Prostate Cancer-Specific Mortality.

Authors:  Charles Dariane; Sylvie Clairefond; Benjamin Péant; Laudine Communal; Zhe Thian; Véronique Ouellet; Dominique Trudel; Nazim Benzerdjeb; Feryel Azzi; Arnaud Méjean; Marc-Olivier Timsit; Manon Baurès; Jacques-Emmanuel Guidotti; Vincent Goffin; Pierre I Karakiewicz; Anne-Marie Mes-Masson; Fred Saad
Journal:  Cancers (Basel)       Date:  2022-03-23       Impact factor: 6.639

Review 3.  The Urokinase Plasminogen Activation System in Pancreatic Cancer: Prospective Diagnostic and Therapeutic Targets.

Authors:  Ashna A Kumar; Benjamin J Buckley; Marie Ranson
Journal:  Biomolecules       Date:  2022-01-18

4.  Modification of STIM2 by m6A RNA methylation inhibits metastasis of cholangiocarcinoma.

Authors:  Feng-Qiu Chen; Hao Zheng; Ting Gu; Yu-Hua Hu; Le Yang; Zhi-Ping Huang; Guang-Lei Qiao; Hong-Jie Li
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5.  Genomic Assessment of Cancer Susceptibility in the Threatened Catalina Island Fox (Urocyon littoralis catalinae).

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  5 in total

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