Evidence map›Paper›PMID 36045683›Full record

ArticleFrontiers in immunology2022

CD69 and SBK1 as potential predictors of responses to PD-1/PD-L1 blockade cancer immunotherapy in lung cancer and melanoma.

Zhang-Wei Hu, Wei Sun, Yi-Hui Wen, Ren-Qiang Ma, Lin Chen, Wen-Qing Chen, Wen-Bin Lei, Wei-Ping Wen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 27 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

8 authors at 2 institutions in 1 country.

Zhang-Wei HuDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wei SunDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yi-Hui WenDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ren-Qiang MaDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lin ChenDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wen-Qing ChenDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wen-Bin LeiDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wei-Ping WenDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PD-1/PD-L1 blockade is a promising immunotherapeutic strategy with the potential to improve the outcomes of various cancers. However, there is a critically unmet need for effective biomarkers of response to PD-1/PD-L1 blockade. Materials and methods: Potential biomarkers of response to PD-1/PD-L1 blockade were obtained from the Cancer Treatment Response gene signature Database (CTR-DB). A comprehensive pan-cancer analysis was done on The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets. Correlations between gene expression and infiltration by immune cells were assessed using TIMER, EPIC, MCPcounter, xCell, CIBERSORT, and quanTIseq. Immunophenoscore (IPS) was used to assess the potential application of the biomarkers to all TCGA tumors. Results: Analysis of CTR-DB data identified Conclusion:

Indexed as

Lung NeoplasmsMelanomaB7-H1 AntigenHumansImmune Checkpoint InhibitorsImmunotherapyProgrammed Cell Death 1 ReceptorB7-H1 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorCD69immunotherapyPD-1SBK1tumor microenvironment

Identifiers

PMID36045683
PMCPMC9421049
OpenAlexW4291378293

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.