Evidence map›Paper›PMID 34972191›Full record

Trial reportPloS one2021

Transcriptomic profiling of adjuvant colorectal cancer identifies three key prognostic biological processes and a disease specific role for granzyme B.

Anneleen Daemen, Akshata R Udyavar, Thomas Sandmann, Congfen Li, Linda J W Bosch, William O'Gorman, Yijin Li, Amelia Au-Yeung, Chikara Takahashi, Omar Kabbarah and 4 more

Open access · goldAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Unraveling the Effects and Characteristics of Proliferating Tumor and Cytotoxic T Cells in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Article
  4. Article
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.

Anneleen DaemenBioinformatics & Computational Biology, Genentech Inc., South San Francisco, California, United States of America.ORCID 0000-0001-6287-7105
Akshata R UdyavarBioinformatics & Computational Biology, Genentech Inc., South San Francisco, California, United States of America.
Thomas SandmannBioinformatics & Computational Biology, Genentech Inc., South San Francisco, California, United States of America.ORCID 0000-0002-6601-8890
Congfen LiOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Linda J W BoschOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.ORCID 0000-0001-6323-9316
William O'GormanOMNI Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Yijin LiOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Amelia Au-YeungOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Chikara TakahashiOMNI Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Omar KabbarahOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Richard BourgonBioinformatics & Computational Biology, Genentech Inc., South San Francisco, California, United States of America.ORCID 0000-0002-5890-4374
Priti HegdeOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Carlos BaisOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.
Meghna Das ThakurOncology Biomarker Development, Genentech Inc., South San Francisco, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is a leading cause of cancer-related deaths, with a 5% 5-year survival rate for metastatic disease, yet with limited therapeutic advancements due to insufficient understanding of and inability to accurately capture high-risk CRC patients who are most likely to recur. We aimed to improve high-risk classification by identifying biological pathways associated with outcome in adjuvant stage II/III CRC. METHODS AND

findingsWe included 1062 patients with stage III or high-risk stage II colon carcinoma from the prospective three-arm randomized phase 3 AVANT trial, and performed expression profiling to identify a prognostic signature. Data from validation cohort GSE39582, The Cancer Genome Atlas, and cell lines were used to further validate the prognostic biology. Our retrospective analysis of the adjuvant AVANT trial uncovered a prognostic signature capturing three biological functions-stromal, proliferative and immune-that outperformed the Consensus Molecular Subtypes (CMS) and recurrence prediction signatures like Oncotype Dx in an independent cohort. Importantly, within the immune component, high granzyme B (GZMB) expression had a significant prognostic impact while other individual T-effector genes were less or not prognostic. In addition, we found GZMB to be endogenously expressed in CMS2 tumor cells and to be prognostic in a T cell independent fashion. A limitation of our study is that these results, although robust and derived from a large dataset, still need to be clinically validated in a prospective study.

conclusionsThis work furthers our understanding of the underlying biology that propagates stage II/III CRC disease progression and provides scientific rationale for future high-risk stratification and targeted treatment evaluation in biomarker defined subpopulations of resectable high-risk CRC. Our results also shed light on an alternative GZMB source with context-specific implications on the disease's unique biology.

Indexed as

TranscriptomeAdultAgedBiomarkers, TumorCell Line, TumorCluster AnalysisColorectal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenome, HumanGranzymesHumansKaplan-Meier EstimateMaleMiddle AgedBiomarkers, TumorGranzymesGZMB protein, human

Identifiers

PMID34972191
PMCPMC8719661
OpenAlexW4205790448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.