Evidence map›Paper›PMID 33643909›Full record

ArticleFrontiers in oncology2020

Re-Clustering and Profiling of Digestive System Tumors According to Microenvironment Components.

Yongwei Wang, Sen Guo, Zhihong Chen, Bing Bai, Shuo Wang, Yaxian Gao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

6 authors.

Yongwei WangDepartment of Anatomy, Basic Medical Institute, Chengde Medical College, Chengde, China.
Sen GuoDepartment of Anatomy, Basic Medical Institute, Chengde Medical College, Chengde, China.
Zhihong ChenDepartment of Anatomy, Basic Medical Institute, Chengde Medical College, Chengde, China.
Bing BaiDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, China.
Shuo WangDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, China.
Yaxian GaoDepartment of Immunology, Basic Medical Institute, Chengde Medical College, Chengde, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy has become the most promising therapy in digestive system tumors besides conventional chemotherapy and radiotherapy. But only a few patients can benefit from different types of immunotherapies, such as immune checkpoint blockade (ICB). To identify these ICB-susceptible patients, methods are urgently needed to screen and profile subgroups of patients with different responsiveness to ICB.

methodsThis study carried out analysis on patients with digestive system tumors that were obtained from Cancer Genome Atlas (TCGA) cohorts. The analyses were mainly performed using GraphPad Prism 7 and R language.

resultsWe have quantified the microenvironmental components of eight digestive system tumor patients in TCGA cohorts and evaluated their clinical value. We re-clustered patients based on their microenvironment composition and divided these patients into six clusters. The differences between these six clusters were profiled, including survival conditions, enriched biological processes, genomic mutations, and microenvironment traits. Cluster 3 was the most immune-related cluster, exhibiting a high infiltration of non-tumor components and poor survival status, along with an inhibitory immune status, and we found that patients with high stromal score indicated a poor response in ICB cohort.

conclusionsOur research provides a new strategy based on the microenvironment components for the reclassification of digestive system tumors, which could provide guidance for prognosis judgment and treatment response prediction like ICB.

Indexed as

digestive system tumorsimmunemicroenvironmentstromalThe Cancer Genome Atlas (TCGA)

Identifiers

PMID33643909
PMCPMC7902780
OpenAlexW3126373411

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