Evidence map›Paper›PMID 33936117›Full record

ArticleFrontiers in immunology2021

Analysis of Tumor Microenvironment Characteristics in Bladder Cancer: Implications for Immune Checkpoint Inhibitor Therapy.

Xingyu Chen, Haotian Chen, Dong He, Yaxin Cheng, Yuxing Zhu, Mengqing Xiao, Hua Lan, Zhanwang Wang, Ke Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 36 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.

Xingyu ChenThe Third Xiangya Hospital, Central South University, Changsha, China.
Haotian ChenThe Third Xiangya Hospital, Central South University, Changsha, China.
Dong HeThe Second People's Hospital of Hunan Province, Hunan University of Chinese Medicine, Changsha, China.
Yaxin ChengThe Third Xiangya Hospital, Central South University, Changsha, China.
Yuxing ZhuThe Third Xiangya Hospital, Central South University, Changsha, China.
Mengqing XiaoThe Third Xiangya Hospital, Central South University, Changsha, China.
Hua LanThe Third Xiangya Hospital, Central South University, Changsha, China.
Zhanwang WangThe Third Xiangya Hospital, Central South University, Changsha, China.
Ke CaoThe Third Xiangya Hospital, Central South University, Changsha, China.
Third Xiangya Hospital · CNCentral South University · CNSecond Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) plays a crucial role in cancer progression and recent evidence has clarified its clinical significance in predicting outcomes and efficacy. However, there are no studies on the systematic analysis of TME characteristics in bladder cancer. In this study, we comprehensively evaluated the TME invasion pattern of bladder cancer in 1,889 patients, defined three different TME phenotypes, and found that different subtypes were associated with the clinical prognosis and pathological characteristics of bladder cancer. We further explored the signaling pathways, cancer-immunity cycle, copy number, and somatic mutation differences among the different subtypes and used the principal component analysis algorithm to calculate the immune cell (IC) score, a tool for comprehensive evaluation of TME. Univariate and multivariate Cox regression analyses showed that ICscore is a reliable and independent prognostic biomarker. In addition, the use of anti-programmed death-ligand (PD-L1) treatment cohort, receiver operating characteristic (ROC) curve, Tumor Immune Dysfunction and Exclusion (TIDE), Subnetwork Mappings in Alignment of Pathways (SubMAP), and other algorithms confirmed that ICscore is a reliable prognostic biomarker for immune checkpoint inhibitor response. Patients with higher ICscore showed a significant therapeutic advantage in immunotherapy. In conclusion, this study improves our understanding of the characteristics of TME infiltration in bladder cancer and provides guidance for more effective personalized immunotherapy strategies.

Indexed as

Machine LearningAlgorithmsBiomarkers, TumorHumansImmune Checkpoint InhibitorsImmunophenotypingPrognosisTumor MicroenvironmentUrinary Bladder NeoplasmsBiomarkers, TumorImmune Checkpoint Inhibitorsbladder cancerimmune checkpointimmunotherapytumor immune dysfunction and exclusiontumor microenvironment

Identifiers

PMID33936117
PMCPMC8082152
OpenAlexW3130587337

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.