Evidence map›Paper›PMID 34831157›Full record

ArticleCells2021

Combined Assessment of the Tumor-Stroma Ratio and Tumor Immune Cell Infiltrate for Immune Checkpoint Inhibitor Therapy Response Prediction in Colon Cancer.

Cor J Ravensbergen, Meaghan Polack, Jessica Roelands, Stijn Crobach, Hein Putter, Hans Gelderblom, Rob A E M Tollenaar, Wilma E Mesker

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  13. Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  14. Article
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  16. Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies.Journal of mass spectrometry and advances in the clinical lab · 2023
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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

8 authors at 1 institution in 1 country.

Cor J RavensbergenDepartment of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.ORCID 0000-0002-8555-2511
Meaghan PolackDepartment of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.
Jessica RoelandsDepartment of Pathology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.ORCID 0000-0003-3631-2041
Stijn CrobachDepartment of Pathology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.
Hein PutterDepartment of Medical Statistics, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.ORCID 0000-0001-5395-1422
Hans GelderblomDepartment of Medical Oncology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.ORCID 0000-0001-9270-8636
Rob A E M TollenaarDepartment of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.
Wilma E MeskerDepartment of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands.
Leiden University Medical Center · NL

Funding

Het Bollenstreekfonds, Lisse, the Netherlands Not applicable
6 · The paper itself

Abstract

The best current biomarker strategies for predicting response to immune checkpoint inhibitor (ICI) therapy fail to account for interpatient variability in response rates. The histologic tumor-stroma ratio (TSR) quantifies intratumoral stromal content and was recently found to be predictive of response to neoadjuvant therapy in multiple cancer types. In the current work, we predicted the likelihood of ICI therapy responsivity of 335 therapy-naive colon adenocarcinoma tumors from The Cancer Genome Atlas, using bioinformatics approaches. The TSR was scored on diagnostic tissue slides, and tumor-infiltrating immune cells (TIICs) were inferred from transcriptomic data. Tumors with high stromal content demonstrated increased T regulatory cell infiltration (

Indexed as

BiomarkersCohort StudiesColonic NeoplasmsHumansImmune Checkpoint InhibitorsLymphocytes, Tumor-InfiltratingMicrosatellite RepeatsReproducibility of ResultsStromal CellsT-Lymphocytes, RegulatoryBiomarkersImmune Checkpoint Inhibitorscheckpoint inhibitorcolon cancerimmunotherapytumor-infiltrating immune cellstumor microenvironmenttumor–stroma ratio

Identifiers

PMID34831157
PMCPMC8616493
OpenAlexW3209789920

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.