Literature DB >> 30275053

Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism.

Camila M Lopes-Ramos1,2, Marieke L Kuijjer1,2, Shuji Ogino3,4,5,6, Charles S Fuchs7,8,9, Dawn L DeMeo10,11, Kimberly Glass10, John Quackenbush12,2,13.   

Abstract

Understanding sex differences in colon cancer is essential to advance disease prevention, diagnosis, and treatment. Males have a higher risk of developing colon cancer and a lower survival rate than women. However, the molecular features that drive these sex differences are poorly understood. In this study, we use both transcript-based and gene regulatory network methods to analyze RNA-seq data from The Cancer Genome Atlas for 445 patients with colon cancer. We compared gene expression between tumors in men and women and observed significant sex differences in sex chromosome genes only. We then inferred patient-specific gene regulatory networks and found significant regulatory differences between males and females, with drug and xenobiotics metabolism via cytochrome P450 pathways more strongly targeted in females. This finding was validated in a dataset of 1,193 patients from five independent studies. While targeting, the drug metabolism pathway did not change overall survival for males treated with adjuvant chemotherapy, females with greater targeting showed an increase in 10-year overall survival probability, 89% [95% confidence interval (CI), 78-100] survival compared with 61% (95% CI, 45-82) for women with lower targeting, respectively (P = 0.034). Our network analysis uncovers patterns of transcriptional regulation that differentiate male and female colon cancer and identifies differences in regulatory processes involving the drug metabolism pathway associated with survival in women who receive adjuvant chemotherapy. This approach can be used to investigate the molecular features that drive sex differences in other cancers and complex diseases.Significance: A network-based approach reveals that sex-specific patterns of gene targeting by transcriptional regulators are associated with survival outcome in colon cancer. This approach can be used to understand how sex influences progression and response to therapies in other cancers. Cancer Res; 78(19); 5538-47. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30275053      PMCID: PMC6169995          DOI: 10.1158/0008-5472.CAN-18-0454

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  42 in total

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Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

Review 2.  GSTM1, GSTT1, GSTP1, GSTA1 and colorectal cancer risk: a comprehensive meta-analysis.

Authors:  Konstantinos P Economopoulos; Theodoros N Sergentanis
Journal:  Eur J Cancer       Date:  2010-03-06       Impact factor: 9.162

3.  Enigmatic sex disparities in cancer incidence.

Authors:  Gustaf Edgren; Liming Liang; Hans-Olov Adami; Ellen T Chang
Journal:  Eur J Epidemiol       Date:  2012-01-03       Impact factor: 8.082

4.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

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Review 5.  American Society of Clinical Oncology recommendations on adjuvant chemotherapy for stage II colon cancer.

Authors:  Al B Benson; Deborah Schrag; Mark R Somerfield; Alfred M Cohen; Alvaro T Figueredo; Patrick J Flynn; Monika K Krzyzanowska; Jean Maroun; Pamela McAllister; Eric Van Cutsem; Melissa Brouwers; Manya Charette; Daniel G Haller
Journal:  J Clin Oncol       Date:  2004-06-15       Impact factor: 44.544

6.  Passing messages between biological networks to refine predicted interactions.

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Journal:  Nucleic Acids Res       Date:  2010-11-21       Impact factor: 16.971

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Journal:  Cell       Date:  2014-09-11       Impact factor: 41.582

Review 9.  Wnt signaling in cancer.

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Journal:  Oncogene       Date:  2016-09-12       Impact factor: 9.867

10.  Understanding Tissue-Specific Gene Regulation.

Authors:  Abhijeet Rajendra Sonawane; John Platig; Maud Fagny; Cho-Yi Chen; Joseph Nathaniel Paulson; Camila Miranda Lopes-Ramos; Dawn Lisa DeMeo; John Quackenbush; Kimberly Glass; Marieke Lydia Kuijjer
Journal:  Cell Rep       Date:  2017-10-24       Impact factor: 9.423

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  36 in total

Review 1.  Sex disparities matter in cancer development and therapy.

Authors:  Sue Haupt; Franco Caramia; Sabra L Klein; Joshua B Rubin; Ygal Haupt
Journal:  Nat Rev Cancer       Date:  2021-04-20       Impact factor: 60.716

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Authors:  Michael M Saint-Antoine; Abhyudai Singh
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Review 3.  Molecular networks in Network Medicine: Development and applications.

Authors:  Edwin K Silverman; Harald H H W Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; Paolo Tieri; Davide Viggiano; Gemma Vilahur; Kimberly Glass; Jan Baumbach
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-04-19

4.  Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues.

Authors:  Camila M Lopes-Ramos; Cho-Yi Chen; Marieke L Kuijjer; Joseph N Paulson; Abhijeet R Sonawane; Maud Fagny; John Platig; Kimberly Glass; John Quackenbush; Dawn L DeMeo
Journal:  Cell Rep       Date:  2020-06-23       Impact factor: 9.423

5.  tRNA Fragments Show Intertwining with mRNAs of Specific Repeat Content and Have Links to Disparities.

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6.  Proceedings of the fourth international molecular pathological epidemiology (MPE) meeting.

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Journal:  Cancer Causes Control       Date:  2019-05-08       Impact factor: 2.506

7.  Sexual Inequality in the Cancer Cell.

Authors:  Arthur P Arnold; Christine M Disteche
Journal:  Cancer Res       Date:  2018-10-01       Impact factor: 12.701

8.  Sex differences in oncogenic mutational processes.

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Journal:  Nat Commun       Date:  2020-08-28       Impact factor: 14.919

9.  Height as a mediator of sex differences in cancer risk.

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Review 10.  Nanoscale Technologies for Prevention and Treatment of Heart Failure: Challenges and Opportunities.

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Journal:  Chem Rev       Date:  2019-09-06       Impact factor: 60.622

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