Evidence map›Paper›PMID 35344507›Full record

ArticleAging2022

TP53/BRAF mutation as an aid in predicting response to immune-checkpoint inhibitor across multiple cancer types.

Jia-Zheng Cao, Gao-Sheng Yao, Fei Liu, Yi-Ming Tang, Peng-Ju Li, Zi-Hao Feng, Jun-Hang Luo, Jin-Huan Wei

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. UnravelingCancer drug resistance (Alhambra, Calif.) · 2025
    Article
  3. Review
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 4 institutions in 1 country.

Jia-Zheng CaoDepartment of Urology, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Gao-Sheng YaoDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Fei LiuDepartment of Urology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yi-Ming TangDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Peng-Ju LiDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Zi-Hao FengDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jun-Hang LuoDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jin-Huan WeiDepartment of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Sun Yat-sen University · CNJiangmen Central Hospital · CNPeking Union Medical College Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy with checkpoint inhibitors, such as PD-1/PD-L1 blockage, is becoming standard of practice for an increasing number of cancer types. However, the response rate is only 10%-40%. Thus, identifying biomarkers that could accurately predict the ICI-therapy response is critically important. We downloaded somatic mutation data for 46,697 patients and tumor-infiltrating immune cells levels data for 11070 patients, then combined TP53 and BRAF mutation status into a biomarker model and found that the predict ability of TP53/BRAF mutation model is more powerful than some past models. Commonly, patients with high-TMB status have better response to ICI therapy than patients with low-TMB status. However, the genotype of TP53

Indexed as

Immune Checkpoint InhibitorsNeoplasmsProto-Oncogene Proteins B-rafTumor Suppressor Protein p53Biomarkers, TumorHumansImmunotherapyMutationBiomarkers, TumorBRAF protein, humanImmune Checkpoint InhibitorsProto-Oncogene Proteins B-rafTP53 protein, humanTumor Suppressor Protein p53BRAFimmune-checkpoint inhibitor therapiesprecision medicineprognosisTP53

Identifiers

PMID35344507
PMCPMC9004558
OpenAlexW4221116789

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.