Evidence map›Paper›PMID 40900635›Full record

ArticleMolecular cancer research : MCR2025

Cancer Genomic Alterations and Microenvironmental Features Encode Synergistic Interactions with Disease Outcomes.

Masroor Bayati, Zoe P Klein, Alexander T Bahcheli, Mykhaylo Slobodyanyuk, Jeffrey To, Kevin C L Cheng, Jigyansa Mishra, Diogo Pellegrina, Kissy Guevara-Hoyer, Chris McIntosh and 2 more

Abstract read
In one paragraph

Article in Molecular cancer research : MCR, 2025. 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.

Masroor BayatiComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0009-0002-0476-5927
Zoe P KleinComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0009-0000-0228-5503
Alexander T BahcheliComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0001-6095-0233
Mykhaylo SlobodyanyukComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0003-0183-8617
Jeffrey ToMultiorgan Transplant Program, University Health Network, Toronto, Canada.ORCID 0000-0002-2340-5487
Kevin C L ChengComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0009-0008-8789-6378
Jigyansa MishraComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0009-0002-9467-5481
Diogo PellegrinaComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0001-6423-5093
Kissy Guevara-HoyerComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0003-3568-8821
Chris McIntoshDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.ORCID 0000-0003-1371-1250
Mamatha BhatMultiorgan Transplant Program, University Health Network, Toronto, Canada.ORCID 0000-0003-1960-8449
Jüri ReimandComputational Biology Program, Ontario Institute for Cancer Research, Toronto, Canada.ORCID 0000-0002-2299-2309

Funding

Canadian Institutes of Health Research (CIHR) PJT-162410Canadian Institutes of Health Research (CIHR) PJT-197925Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2023-04646Ontario Institute for Cancer Research (OICR) Investigator AwardTerry Fox Research Institute (TFRI)
6 · The paper itself

Abstract

Oncogenesis, tumor progression, and therapy response are shaped by somatic alterations in the cancer genome and features of the tumor-immune microenvironment (TME). How interactions between these two systems influence tumor evolution and clinical outcomes remains incompletely understood. To address this challenge, we developed the multi-omics analysis framework PACIFIC that systematically integrates genetic cancer drivers and infiltration profiles of immune cells to find pairwise combinations of drivers and TME characteristics that jointly associate with clinical outcomes. By analyzing 8,500 primary tumor samples of 26 cancer types, we report 34 immunogenomic interactions (IGX) in 13 cancer types in which context-specific combinations of genomic alterations and immune cell levels were significantly correlated with patient survival. Subsets of tumor samples defined by some IGXs were characterized by tumor-intrinsic and microenvironmental metrics of immunogenicity and differential expression of immunotherapy target genes. In luminal-A breast cancer, an IGX involving MEN1 deletion combined with reduced levels of neutrophils associated with lower progression-free survival and deregulation of immune signaling pathways, as observed in two independent cancer genomics datasets. These results showcase the ability of PACIFIC to integrate complex multi-omics datasets with clinical information, enabling the identification of clinically relevant IGXs. Such interactions provide a rich set of hypotheses for mechanistic studies and the development of biomarkers and therapeutic targets. IMPLICATIONS: Co-occurrence patterns of cancer drivers and TME characteristics highlight synergistic interactions with prognostic potential.

Indexed as

GenomicsNeoplasmsTumor MicroenvironmentFemaleHumans

Identifiers

PMID40900635
PMCPMC12670080

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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.