Evidence map›Paper›PMID 42298180›Full record

ArticleOncogene2026

Transcriptomic profiling identifies immunotherapy-responsive phenotypes in microsatellite-stable metastatic colorectal cancer.

Tomas Konecny, Nate Zadirako, Arpine Grigoryan, Melina Tamazyan, Sveta Mnatsakanyan, Luiza Stepanyan, Henry Loeffler-Wirth, Sean Bourdelais, Gabriel Mednick, Chloe Delepine and 2 more

Abstract read
In one paragraph

Article in Oncogene, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Tomas Konecny *Armenian Bioinformatics Institute (ABI), Yerevan, Armenia.ORCID http://orcid.org/0000-0003-2311-6092
Nate Zadirako *Armenian Bioinformatics Institute (ABI), Yerevan, Armenia.
Arpine GrigoryanArmenian Bioinformatics Institute (ABI), Yerevan, Armenia.ORCID http://orcid.org/0009-0003-7556-9680
Melina TamazyanArmenian Bioinformatics Institute (ABI), Yerevan, Armenia.ORCID http://orcid.org/0009-0008-7238-2315
Sveta MnatsakanyanArmenian Bioinformatics Institute (ABI), Yerevan, Armenia.
Luiza StepanyanArmenian Bioinformatics Institute (ABI), Yerevan, Armenia.
Henry Loeffler-WirthInterdisciplinary Centre for Bioinformatics (IZBI), Universität Leipzig, Leipzig, Germany.
Sean BourdelaisAgenus Inc., Lexington, MA, USA.
Gabriel MednickAgenus Inc., Lexington, MA, USA.
Chloe DelepineAgenus Inc., Lexington, MA, USA.ORCID http://orcid.org/0000-0002-1856-9583
Dhan ChandAgenus Inc., Lexington, MA, USA. Dhan.Chand@Agenusbio.com.ORCID http://orcid.org/0009-0003-8124-4399
Hans BinderArmenian Bioinformatics Institute (ABI), Yerevan, Armenia. hans.binder@abi.am.ORCID http://orcid.org/0000-0002-2242-4678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional immune checkpoint inhibitors (ICIs) remain largely ineffective in microsatellite-stable metastatic colorectal cancer (MSS mCRC), where low tumor immunogenicity and molecular heterogeneity across metastatic sites underpin therapeutic resistance. We present a comprehensive transcriptomics analysis of metastatic and primary tumor biopsies from MSS mCRC patients treated with botensilimab (BOT; Fc-enhanced anti-CTLA-4) ± balstilimab (BAL; anti-PD-1). Self-organizing map (SOM) machine learning stratified tumors into four molecular types, including a liver-like (LIV) subtype characterized by metabolic reprogramming and immunosuppressive signatures, and proliferative (PRO), inflammatory (INF), and mesenchymal (MES) types concordant with pan-cancer classifications. PRO, INF, and MES types were enriched for epithelial tumor cells, immune cells, and fibroblasts, respectively, defining immune-depleted, immune-enriched, and fibrotic states along a plasticity gradient. We observed treatment-related transcriptomic shifts toward immune-enriched states via upregulation of antigen presentation, T cell recruitment, and cytotoxicity pathways. INF and MES tumor types exhibited improved clinical responses and survival vs PRO and LIV types. This study identified distinct tumor microenvironment states that align along an immunophenotype axis marked by CD74, interferon-γ, and APOBEC3 expression identified previously for primary CRC. Our findings provide novel insights into molecular correlates of immunotherapy response in MSS mCRC, potentially informing future therapeutic strategies to expand ICI efficacy to historically unresponsive tumors.

Indexed as

Colorectal NeoplasmsGene Expression ProfilingImmunotherapyTranscriptomeGene Expression Regulation, NeoplasticHumansMicrosatellite RepeatsNeoplasm MetastasisPhenotypeTumor Microenvironment

Identifiers

PMID42298180
PMCPMC13364656

What OpenQuestion holds

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Registered trials

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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.