Evidence map›Paper›PMID 30275053›Full record

ArticleCancer research2018

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

Camila M Lopes-Ramos, Marieke L Kuijjer, Shuji Ogino, Charles S Fuchs, Dawn L DeMeo, Kimberly Glass, John Quackenbush

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 150 citations in OpenAlex.

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  9. Challenges and Opportunities in Single-Sample Network Modeling.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Sex differences in gene regulation and its impact on cancer incidence.bioRxiv : the preprint server for biology · 2025
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Camila M Lopes-RamosDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Marieke L KuijjerDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0001-6280-3130
Shuji OginoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Charles S FuchsYale Cancer Center, New Haven, Connecticut.
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.
Kimberly GlassChanning Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.
John QuackenbushDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts. johnq@hsph.harvard.edu.ORCID 0000-0002-2702-5879
Harvard University · USBrigham and Women's Hospital · USBroad Institute · USYale Cancer Center · US

Funding

Targeting the Vasular SystemP50CA165962 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Benjamin Harris Kann · 2013 to 2026
$33.5M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L · 2016 to 2020
$12.6M
Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
Novel randomized controlled trials of vitamin D supplementation in patients with colorectal cancer: Impact on survival and biologyR01CA205406 · NCI · DANA-FARBER CANCER INST · PI Kimmie Ng · 2017 to 2026
$4.9M
Using Integrative Networks to Explore Heterogeneous Phenotypes in COPDK25HL133599 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GLASS, KIMBERLY RENEE · 2016 to 2020
$945k
NCI NIH HHS P50 CA127003NCI NIH HHS P50 CA165962NCI NIH HHS R01 CA205406NCI NIH HHS R35 CA197449NCI NIH HHS R35 CA197735NCI NIH HHS R35 CA220523NHLBI NIH HHS K25 HL133599NHLBI NIH HHS P01 HL105339NHLBI NIH HHS P01 HL114501NHLBI NIH HHS P01 HL132825
6 · The paper itself

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 (

Indexed as

Sex FactorsAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorChemotherapy, AdjuvantColonic NeoplasmsCytochrome P-450 Enzyme SystemFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenome, HumanHumansKaplan-Meier EstimateMaleAntineoplastic AgentsBiomarkers, TumorCytochrome P-450 Enzyme System

Identifiers

PMID30275053
PMCPMC6169995
OpenAlexW2950967976

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.