Evidence map›Paper›PMID 35534873›Full record

ArticleBiology direct2022

An integrative in-silico analysis discloses a novel molecular subset of colorectal cancer possibly eligible for immune checkpoint immunotherapy.

Pasquale Sibilio, Francesca Belardinilli, Valerio Licursi, Paola Paci, Giuseppe Giannini

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Integrating multi-omics data: Methods and applications in human complex diseases.Biotechnology reports (Amsterdam, Netherlands) · 2025
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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

5 authors at 2 institutions in 1 country.

Pasquale Sibilio *Department of Translational and Precision Medicine, University La Sapienza, 00161, Rome, Italy.
Francesca Belardinilli *Department of Molecular Medicine, University La Sapienza, 00161, Rome, Italy.
Valerio LicursiDepartment of Biology and Biotechnologies "Charles Darwin", University La Sapienza, 00185, Rome, Italy.
Paola PaciInstitute for Systems Analysis and Computer Science Antonio Ruberti, National Research Council, 00185, Rome, Italy.
Giuseppe GianniniDepartment of Molecular Medicine, University La Sapienza, 00161, Rome, Italy. giuseppe.giannini@uniroma1.it.
Sapienza University of Rome · ITIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistorically, the molecular classification of colorectal cancer (CRC) was based on the global genomic status, which identified microsatellite instability in mismatch repair (MMR) deficient CRC, and chromosomal instability in MMR proficient CRC. With the introduction of immune checkpoint inhibitors, the microsatellite and chromosomal instability classification regained momentum as the microsatellite instability condition predicted sensitivity to immune checkpoint inhibitors, possibly due to both high tumor mutation burden (TMB) and high levels of infiltrating lymphocytes. Conversely, proficient MMR CRC are mostly resistant to immunotherapy. To better understand the relationship between the microsatellite and chromosomal instability classification, and eventually discover additional CRC subgroups relevant for therapeutic decisions, we developed a computational pipeline that include molecular integrative analysis of genomic, epigenomic and transcriptomic data.

resultsThe first step of the pipeline was based on unsupervised hierarchical clustering analysis of copy number variations (CNVs) versus hypermutation status that identified a first CRC cluster with few CNVs enriched in Hypermutated and microsatellite instability samples, a second CRC cluster with a high number of CNVs mostly including non-HM and microsatellite stable samples, and a third cluster (7.8% of the entire dataset) with low CNVs and low TMB, which shared clinical-pathological features with Hypermutated CRCs and thus defined Hypermutated-like CRCs. The mutational features, DNA methylation profile and base substitution fingerprints of these tumors revealed that Hypermutated-like patients are molecularly distinct from Hypermutated and non-Hypermutated tumors and are likely to develop and progress through different genetic events. Transcriptomic analysis highlighted further differences amongst the three groups and revealed an inflamed tumor microenvironment and modulation Immune Checkpoint Genes in Hypermutated-like CRCs.

conclusionTherefore, our work highlights Hypermutated-like tumors as a distinct and previously unidentified CRC subgroup possibly responsive to immune checkpoint inhibitors. If further validated, these findings can lead to expanding the fraction of patients eligible to immunotherapy.

Indexed as

Colorectal NeoplasmsMicrosatellite InstabilityChromosomal InstabilityDNA Copy Number VariationsHumansImmune Checkpoint InhibitorsImmunotherapyTumor MicroenvironmentImmune Checkpoint InhibitorsColorectal cancerImmunoinformaticsImmunotherapyMeta-analysisMulti-omics

Identifiers

PMID35534873
PMCPMC9082922
OpenAlexW4229378210

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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.