Evidence map›Paper›PMID 34417325›Full record

ArticleJournal for immunotherapy of cancer2021

B7 score and T cell infiltration stratify immune status in prostate cancer.

Qianghua Zhou, Kaiwen Li, Yiming Lai, Kai Yao, Qiong Wang, Xiangyu Zhan, Shirong Peng, Wenli Cai, Wei Yao, Xingxing Zang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Prognostic Value of HHLA2 in Patients with Solid Tumors: A Meta-Analysis.International journal of molecular sciences · 2024
    Pooled it
  3. B7-H3 Gene Expression Shapes Prognosis and Therapeutic Opportunities across Patient Groups with Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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

13 authors at 3 institutions in 2 countries.

Qianghua Zhou *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Kaiwen Li *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yiming Lai *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Kai Yao *Department of urology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Qiong WangDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiangyu ZhanDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Shirong PengDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Wenli CaiDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Wei YaoDepartment of Oncology, Albert Einstein College of Medicine, Bronx, New York, USA.
Xingxing ZangDepartment of Oncology, Albert Einstein College of Medicine, Bronx, New York, USA.
Kewei XuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China huangh9@mail.sysu.edu.cn huangj8@mail.sysu.edu.cn xukewei@mail.sysu.edu.cn.
Jian HuangDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China huangh9@mail.sysu.edu.cn huangj8@mail.sysu.edu.cn xukewei@mail.sysu.edu.cn.
Hai HuangDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China huangh9@mail.sysu.edu.cn huangj8@mail.sysu.edu.cn xukewei@mail.sysu.edu.cn.ORCID 0000-0002-2013-073X
Sun Yat-sen University · CNAlbert Einstein College of Medicine · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough immune checkpoint inhibitors (ICIs), especially programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) axis blockers, exhibit prominent antitumor effects against numerous malignancies, their benefit for patients with prostate cancer (PCa) has been somewhat marginal. This study aimed to assess the feasibility of B7-H3 or HHLA2 as alternative immunotherapeutic targets in PCa.

methodsImmunohistochemistry was performed to evaluate the expression pattern of PD-L1, B7-H3 and HHLA2 and the infiltration of CD8

resultsHHLA2 expression was much higher than PD-L1 expression but lower than B7-H3 expression in PCa tissues. High expression of both B7-H3 and HHLA2 was significantly associated with higher Gleason score and tumor stage, lymph node metastasis and dismal overall survival (OS) and cancer-specific survival (CSS). Moreover, a high B7 score, defined as high B7-H3 expression and/or high HHLA2 expression, was an independent prognostic predictor for PCa. Of note, a high B7 score was negatively correlated with CD8

conclusionsBoth B7-H3 and HHLA2 have a critical impact on the immunosuppressive microenvironment, and the B7 score could be used as an independent prognostic factor for PCa. The B7 score combined with CD8

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedProstatic NeoplasmsRetrospective StudiesTumor MicroenvironmentBiomarkers, Tumorcostimulatory and inhibitory T-cell receptorsprostatic neoplasmstumor biomarkerstumor microenvironment

Identifiers

PMID34417325
PMCPMC8381330
OpenAlexW3195675176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.