Evidence map›Paper›PMID 32412177›Full record

ArticleThoracic cancer2020

Impact of TP53 mutations in breast cancer: Clinicopathological features and prognosisImpact of TP53 mutations in breast CA.

Xuerui Li, Xiaoqing Chen, Lingzhu Wen, Yulei Wang, Bo Chen, Yunlian Xue, Liping Guo, Ning Liao

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. 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
1.1field-weighted citation impact, top 20% 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, 16 citations in OpenAlex.

  1. Article
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  3. Public neoantigens in breast cancer immunotherapy (Review).International journal of molecular medicine · 2024
    Review
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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 1 institution in 1 country.

Xuerui LiDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-2538-4146
Xiaoqing ChenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Lingzhu WenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yulei WangDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Bo ChenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Yunlian XueStatistics Office, Information and Statistics Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Liping GuoDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Ning LiaoDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Guangdong Academy of Medical Sciences · CN

Funding

National Natural Science Foundation of China 81001189National Natural Science Foundation of China 81071851National Natural Science Foundation of China 81602645Natural Science Foundation of Guangdong Province 2016A030313768Natural Science Foundation of Guangdong Province 2018A030313292Research Funds from Guangzhou Municipal Science and Technology Project 201707010418Research Funds from Guangzhou Municipal Science and Technology Project 201804010430
6 · The paper itself

Abstract

backgroundTP53 is a crucial tumor suppressor gene. However, the mutation pattern of TP53 in Chinese patients with breast cancer has not yet been determined.

methodsA total of 411 untreated patients with invasive breast cancer diagnosed at Guangdong Provincial People's Hospital (GDPH) between June 2017 to September 2018 were recruited into the study. Mutational alterations in TP53 were detected and correlations between TP53 mutations and clinicopathological features analyzed. Comparative analysis of the data in the GDPH cohort with those in the METABRIC cohort were carried out.

resultsA significantly higher rate of TP53 mutations was detected in the GDPH cohort (51.3%) compared with the METABRIC cohort (34.4%) (P < 0.01). In the GDPH cohort, 77.8% of the mutations were located in the conserved areas across exons 5-8 of TP53; among these, 112 were identified as missense mutations and mainly clustered in the DNA-binding region. R273C/H (n = 11) and R248Q/W (n = 10) were two of the most common mutation sites of TP53 detected in the cohort of GDPH patients. Logistic regression multivariate analysis showed that histological grade III, ki-67 > = 25%, HR- and Her2+ in breast cancer had higher mutation probability of TP53 (P < 0.001 in the GDPH cohort). Furthermore, receiver operating characteristic (ROC) model combining molecular typing and Ki-67 was established to predict the mutation of TP53, and the AUC was 0.846.

conclusionsA significantly higher rate of TP53 mutation was detected in the Chinese cohort compared with the METABRIC. Correlation analysis revealed a significant association of TP53 mutation with HR- and HER2+, higher Ki-67 and histological grade in breast cancer patients.

Indexed as

MutationBiomarkers, TumorBreast NeoplasmsCohort StudiesDNA Mutational AnalysisErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMiddle AgedNeoplasm InvasivenessPrognosisReceptors, EstrogenReceptors, ProgesteroneTumor Suppressor Protein p53Biomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneTP53 protein, humanTumor Suppressor Protein p53Breast cancergenomic mutationnext-generation sequencingTP53

Identifiers

PMID32412177
PMCPMC7327681
OpenAlexW3024726307

What OpenQuestion holds

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LicenceCC BY
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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.