Evidence map›Paper›PMID 35778737›Full record

ArticleBMC medical genomics2022

Mutational landscape of pan-cancer patients with PIK3CA alterations in Chinese population.

Qingfeng Huang, Yang Zhou, Bowen Wang, Yi Zhao, Fengxia Zhang, Bowen Ding

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-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

5 citing papers in PubMed, 9 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

6 authors at 3 institutions in 1 country.

Qingfeng Huang *National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huan-Hu Road, Ti Yuan Bei, Hexi District, Tianjin, 300060, China.
Yang Zhou *Genecast (Beijing) Biotechnology Co., Ltd, Beijing, 100000, China.
Bowen WangCheeloo College of Medicine, Shandong University, Jinan, 250000, China.
Yi ZhaoGenecast (Beijing) Biotechnology Co., Ltd, Beijing, 100000, China.
Fengxia ZhangGenecast (Beijing) Biotechnology Co., Ltd, Beijing, 100000, China.
Bowen DingNational Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, West Huan-Hu Road, Ti Yuan Bei, Hexi District, Tianjin, 300060, China. dingbowen@tmu.edu.cn.
Genecast (China) · CNTianjin Medical University Cancer Institute and Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the mutational landscape of pan-cancer patients with PIK3CA mutations in Chinese population in real-world.

methodsWe analyzed PIK3CA mutation status in sequencing data of cell-free DNA from plasma and genomic DNA from matched peripheral blood lymphocyte in 11,904 Chinese pan-cancer patients, and compared them with genomic data from the Catalogue of Somatic Mutations in Cancer (COSMIC) database. Besides, concomitant genomic aberrations in PIK3CA-mutated samples were detected to investigate cancer driver genes, as well as their enriched pathways. Meanwhile, the mutations of Alpelisib targeting genes were screened and their co-alterations were analyzed according to OncoKB definition to identify the potential actionable ones.

resultsThe proportion of patients with PIK3CA mutations varied among 21 types of cancer, with the top being BRCA, CESC, SCL, and UCEC. The most common PIK3CA mutation hotspots were found to be E545K, E542K and H1047R. The Chinese cohort had significantly lower frequencies of PIK3CA mutations in breast and stomach cancers, but markedly higher PIK3CA mutation frequencies in large intestine, kidney and lung cancers than the COSMIC cohort. Compared with COSMIC cohort, the mutation frequencies of Alpelisib-targeted genes in breast cancer were significantly reduced in the Chinese cohort. All PIK3CA-mutated patients had concomitant genomic aberrations. While the most common concomitant genomic alterations occurred in TP53, EGFR and FAT1, these co-mutated genes were mainly enriched in RTK/RAS pathway, PI3K pathway and P53 pathway. Moreover, 83.6% of patients carrying mutations in Alpelisib-targeted genes had at least one actionable concomitant alteration. Level 1 actionable alteration was identified in LUAD, BRCA, COAD, LUSC, READ, and STAD.

conclusionCompared with the Western cohort, the mutation frequency of PIK3CA in breast cancer was reduced in the Chinese cohort. RTK/RAS pathway, PI3K pathway and P53 pathway were identified as the most common co-mutation pathways, suggesting that they may potentially serve as targets for possible Alpelisib-based combination therapy.

Indexed as

Breast NeoplasmsPhosphatidylinositol 3-KinasesChinaClass I Phosphatidylinositol 3-KinasesFemaleHumansMutationTumor Suppressor Protein p53Class I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, humanTumor Suppressor Protein p53AlpelisibChinese populationConcomitant genomic aberrationsPIK3CA mutation

Identifiers

PMID35778737
PMCPMC9248192
OpenAlexW4283761942

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.