Evidence map›Paper›PMID 35836930›Full record

ArticleFrontiers in molecular biosciences2022

Tumor Microenvironment Heterogeneity-Based Score System Predicts Clinical Prognosis and Response to Immune Checkpoint Blockade in Multiple Colorectal Cancer Cohorts.

Hufei Wang, Zhi Li, Suwen Ou, Yanni Song, Kangjia Luo, Zilong Guan, Lei Zhao, Rui Huang, Shan Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Hufei WangDepartment of Colorectal Cancer Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhi LiDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Suwen OuDepartment of Colorectal Cancer Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yanni SongDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Kangjia LuoDepartment of Colorectal Cancer Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zilong GuanDepartment of Colorectal Cancer Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lei ZhaoDepartment of Gastroenterology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Rui HuangDepartment of Colorectal Cancer Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Shan YuDepartment of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite immune checkpoint blockade (ICB) therapy contributed to significant advances in cancer therapy, only a small percentage of patients with colorectal cancer (CRC) respond to it. Identification of these patients will facilitate ICB application in CRC. In this study, we integrated multiple CRC cohorts (2,078 samples) to construct tumor microenvironment (TME) subtypes using TME indices calculated by CIBERSORT and ESTIMATE algorithms. Furthermore, a surrogate quantitative indicator, a tumor microenvironment immune gene (TMEIG) score system, was established using the key immune genes between TME clusters 1 and 2. The subsequent analysis demonstrated that TME subtypes and the TMEIG score system correlated with clinical outcomes of patients in multiple CRC cohorts and exhibited distinct immune statuses. Furthermore, Tumor Immune Dysfunction and Exclusion (TIDE) analysis indicated that patients with low TMEIG scores were more likely to benefit from ICB therapy. A study on two ICB cohorts (GSE78220 and IMvigor210) also validated that patients with low TMEIG scores exhibited higher ICB response rates and better prognoses after ICB treatment. The biomarker evaluation module on the TIDE website revealed that the TMEIG score was a robust predictive biomarker. Moreover, differential expression analysis, immunohistochemistry, qPCR experiments, and gene set prioritization module on the TIDE website demonstrated that the five genes that constitute the TMEIG score system (

Indexed as

colorectal cancerICB response biomarkersimmune checkpoint therapyprognosistumor microenvironment

Identifiers

PMID35836930
PMCPMC9274205
OpenAlexW4283644475

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.