Evidence map›Paper›PMID 34344410›Full record

ArticleJournal of translational medicine2021

Immune and stromal scoring system associated with tumor microenvironment and prognosis: a gene-based multi-cancer analysis.

Zihang Zeng, Jiali Li, Jianguo Zhang, Yangyi Li, Xingyu Liu, Jiarui Chen, Zhengrong Huang, Qiuji Wu, Yan Gong, Conghua Xie

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

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  15. An Immune-Related Gene Signature for Predicting Survival and Immunotherapy Efficacy in Esophageal Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2023
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  16. The application of patient-derived organoid in the research of lung cancer.Cellular oncology (Dordrecht, Netherlands) · 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

10 authors at 1 institution in 1 country.

Zihang ZengDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiali LiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jianguo ZhangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yangyi LiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xingyu LiuDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiarui ChenDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhengrong HuangDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qiuji WuDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yan GongDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China. yan.gong@whu.edu.cn.
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China. chxie_65@whu.edu.cn.ORCID 0000-0001-6623-9864
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor microenvironment (TME) is associated with tumor progression and prognosis. Previous studies provided tools to estimate immune and stromal cell infiltration in TME. However, there is still a lack of single index to reflect both immune and stromal status associated with prognosis and immunotherapy responses.

methodsA novel immune and stromal scoring system named ISTMEscore was developed. A total of 15 datasets were used to train and validate this system, containing 2965 samples from lung adenocarcinoma, skin cutaneous melanoma and head and neck squamous cell carcinoma.

resultsThe patients with high immune and low stromal scores (HL) were associated with low ratio of T cell co-inhibitory/stimulatory molecules and low levels of angiogenesis markers, while the patients with low immune and high stromal scores (LH) had the opposite characteristics. The HL patients had immune-centered networks, while the patients with low immune and low stromal scores (LL) had desert-like networks. Moreover, copy number alteration burden was decreased in the HL patients. For the clinical characteristics, our TME classification was an independent prognostic factor. In the 5 cohorts with immunotherapy, the LH patients were linked to the lowest response rate.

conclusionsISTMEscore system could reflect the TME status and predict the prognosis. Compared to previous TME scores, our ISTMEscore was superior in the prediction of prognosis and immunotherapy response.

Indexed as

Head and Neck NeoplasmsLung NeoplasmsMelanomaSkin NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorImmunotherapyMulti-task learningPrognosisScoring systemTumor microenvironment

Identifiers

PMID34344410
PMCPMC8336334
OpenAlexW3193159030

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.