Evidence map›Paper›PMID 36497365›Full record

ArticleCancers2022

T-Cell Infiltration and Clonality May Identify Distinct Survival Groups in Colorectal Cancer: Development and Validation of a Prognostic Model Based on The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC).

Luca G Campana, Wasat Mansoor, James Hill, Christian Macutkiewicz, Finlay Curran, David Donnelly, Ben Hornung, Peter Charleston, Robert Bristow, Graham M Lord and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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  3. A laminin α4-CD8Oncoimmunology · 2025
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  5. Review
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  8. Review
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

11 authors at 2 institutions in 1 country.

Luca G CampanaDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.ORCID 0000-0002-8466-8459
Wasat MansoorDepartment of Medical Oncology, The Christie NHS Foundation Trust, Manchester M20 4BX, UK.
James HillDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
Christian MacutkiewiczDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
Finlay CurranDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
David DonnellyDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
Ben HornungDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
Peter CharlestonDepartment of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
Robert BristowDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NT, UK.
Graham M LordFaculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.
Sara ValpioneDepartment of Medical Oncology, The Christie NHS Foundation Trust, Manchester M20 4BX, UK.
Manchester University NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the survival outcomes of patients with colorectal cancer (CRC) remains challenging. We investigated the prognostic significance of the transcriptome and tumour-infiltrating lymphocyte T-cell receptor (TIL/Tc-TCR) repertoire and analysed TIL/Tc-TCR sequences of The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) CRC cohorts. Using a multivariate Cox regression, we tested whether TIL/Tc-TCR repertoire, patient and tumour characteristics (stage, sidedness, total non-synonymous mutations, microsatellite instability (MSI) and transcriptional signatures) correlated with patient overall survival (OS) and designed a prognostic nomogram. A multivariate analysis (C-index = 0.75) showed that only patient age, disease stage, TIL/Tc degree of infiltration and clonality were independent prognostic factors for OS. The cut-offs for patients’ allocation to TIL/Tc abundance subgroups were determined using a strategy of maximally selected rank statistics with the OptimalCutpoints R package. These were “high”, “low” and “very high” (90 th percentile) TIL/Tc infiltration-stratified OS (median not reached, 67 and 44.3 months; p < 0.001); the results were validated in the CPTAC cohort. TIL/Tc clonality was prognostic (median OS in “high” vs. “low” clonality not reached and 67.3 months; p = 0.041) and independent of TIL/Tc infiltration. Whilst tumour sidedness was not prognostic, the “very highly” infiltrated tumours were prevalent among right-sided CRCs (p = 0.039) and showed distinct immunological features, with lower Th1 signature (p = 0.004), higher PD-L1 expression (p < 0.001) and likely enrichment in highly suppressory IL1R1+ Tregs (FoxP3 and IL1R1 overexpression, p < 0.001). TIL/Tc abundance and clonality are independent prognosticators in CRC and, combined with clinical variables, refine risk stratification. We identified a subset of CRCs with “very high” TIL/Tc infiltration, poor prognosis and distinct genetic and immunologic features, which may benefit from alternative therapeutic approaches. These results need validation in prospective patient cohorts.

Indexed as

colorectal neoplasmsnomogramsprognostic factorsprognostic modelT-cell antigen receptor

Identifiers

PMID36497365
PMCPMC9740634
OpenAlexW4310384347

What OpenQuestion holds

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LicenceCC BY
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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.