Evidence map›Paper›PMID 36248841›Full record

ArticleFrontiers in immunology2022

PTPRD/PTPRT mutation as a predictive biomarker of immune checkpoint inhibitors across multiple cancer types.

Xiaoling Shang, Wengang Zhang, Xun Zhang, Miao Yu, Jingwen Liu, Yufeng Cheng, Bo Cheng

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  10. PTPRD/PTPRT mutation correlates to treatment outcomes of immunotherapy and immune landscape in pan-cancers.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 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

7 authors at 3 institutions in 1 country.

Xiaoling ShangQilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Wengang ZhangDepartment of Medical Oncology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xun ZhangQilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Miao YuShandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jingwen LiuThe Internet of Things, Shandong University of Science and Technology, Qingdao, China.
Yufeng ChengQilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Bo ChengQilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNShandong University · CNShandong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) are dramatically changing the treatment landscape of a variety of cancers. Nevertheless, the variability in ICI responses highlight the importance in identifying predictive biomarkers. PTPRD and PTPRT (PTPRD/PTPRT) are the phosphatases of JAK-STAT signaling, a critical pathway in anti-cancer immunity regulation. However, the pan-cancer association between PTPRD/PTPRT mutation and the efficacy of ICIs remains unclear across pan-cancer patients. Methods: We analyzed the association between PTPRD/PTPRT mutations and patient outcomes using clinical data and genomic mutations from TCGA pan-cancer cohort. Furthermore, the ICI-treatment cohort was used to evaluate the relationship between PTPRD/PTPRT mutation and the efficacy of ICIs. Another ICIs-treatment cohort was used to validate the findings. The TCGA pan-cancer dataset was analyzed to explore the correlation between PTPRD/PTPRT mutations and immune signatures. Moreover, we combined four factors to construct a nomogram model that could be used to predict the survival of pan-cancer patients receiving ICI treatment. The calibration curves and area under the curve were applied to assess the performance of the model. Results: PTPRD/PTPRT mutations were shown to be associated with a worse prognosis in TCGA cohort ( Conclusions: PTPRD/PTPRT mutations may be a potential biomarker for predicting ICI treatment responsiveness in multiple cancer types.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorHumansImmune Checkpoint InhibitorsMutationReceptor-Like Protein Tyrosine Phosphatases, Class 2Receptors, Antigen, T-CellAntineoplastic Agents, ImmunologicalBiomarkers, TumorImmune Checkpoint InhibitorsPTPRD protein, humanPTPRT protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 2Receptors, Antigen, T-Cellimmune checkpoint inhibitorspan cancerPTPRDPTPRTtumor immune microenvironment

Identifiers

PMID36248841
PMCPMC9556668
OpenAlexW4298005349

What OpenQuestion holds

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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.