Evidence map›Paper›PMID 39227409›Full record

ArticleBritish journal of cancer2024

Consensus molecular subtyping of metastatic colorectal cancer expands biomarker-directed therapeutic benefit for patients with CMS1 and CMS2 tumors.

Saikat Chowdhury, Joanne Xiu, Jennifer R Ribeiro, Theodore Nicolaides, Jian Zhang, W Michael Korn, Kelsey A Poorman, Heinz-Josef Lenz, John L Marshall, Matthew J Oberley and 4 more

Abstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Saikat ChowdhuryThe University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Joanne XiuCaris Life Sciences, Phoenix, AZ, USA.
Jennifer R RibeiroCaris Life Sciences, Phoenix, AZ, USA.ORCID http://orcid.org/0000-0002-1685-8568
Theodore NicolaidesCaris Life Sciences, Phoenix, AZ, USA.
Jian ZhangCaris Life Sciences, Phoenix, AZ, USA.
W Michael KornUniversity of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Kelsey A PoormanCaris Life Sciences, Phoenix, AZ, USA.
Heinz-Josef LenzKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2178-9568
John L MarshallRuesch Center for the Cure of Gastrointestinal Cancers, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.
Matthew J OberleyCaris Life Sciences, Irving, TX, USA.
George W SledgeCaris Life Sciences, Irving, TX, USA.
David SpetzlerCaris Life Sciences, Irving, TX, USA.
Scott KopetzThe University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-9647-3416
John Paul ShenThe University of Texas MD Anderson Cancer Center, Houston, TX, USA. jshen8@mdanderson.org.ORCID http://orcid.org/0000-0003-4588-2775

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
High-Throughput Functional Genomics to Guide Precision Oncology in Gastrointestinal TumorsK22CA234406 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHEN, JOHN PAUL YING CHING · 2019 to 2021
$577k
Cancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RR180035NCI NIH HHS K22 CA234406NCI NIH HHS P30 CA016672U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA016672U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA234406
6 · The paper itself

Abstract

backgroundWe developed a whole transcriptome sequencing (WTS)-based Consensus Molecular Subtypes (CMS) classifier using FFPE tissue and investigated its prognostic and predictive utility in a large clinico-genomic database of CRC patients (n = 24,939).

methodsThe classifier was trained against the original CMS datasets using an SVM model and validated in an independent blinded TCGA dataset (88.0% accuracy). Kaplan-Meier estimates of overall survival (OS) and time-on-treatment (TOT) were calculated for each CMS (p < 0.05 considered significant).

resultsCMS2 tumors were enriched on left-side of colon and conferred the longest median OS. In RAS-wildtype mCRC, left-sided tumors and CMS2 classification were associated with longer TOT with anti-EGFR antibodies (cetuximab and panitumumab). When restricting to only CMS2, there was no significant difference in TOT between right- versus left-sided tumors. CMS1 tumors were associated with a longer median TOT with pembrolizumab relative to other CMS groups, even when analyzing only microsatellite stable (MSS) tumors. DISCUSSION: A WTS-based CMS classifier allowed investigation of a large multi-institutional clinico-genomic mCRC cohort, suggesting anti-EGFR therapy benefit for right-sided RAS-WT CMS2 tumors and immune checkpoint inhibitor benefit for MSS CMS1. Routine CMS classification of CRC provides important treatment associations that should be further investigated.

Indexed as

Biomarkers, TumorColorectal NeoplasmsAgedAntibodies, Monoclonal, HumanizedCetuximabConsensusFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm MetastasisPanitumumabPrognosisAntibodies, Monoclonal, HumanizedBiomarkers, TumorCetuximabPanitumumabpembrolizumab

Identifiers

PMID39227409
PMCPMC11473766

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.