Evidence map›Paper›PMID 39282132›Full record

ArticleOncoTargets and therapy2024

The Study of PIK3CA Hotspot Mutations and Co-Occurring with EGFR, KRAS, and TP53 Mutations in Non-Small Cell Lung Cancer.

YuXuan Zhang, Yuhong Shen, Jiayuan Wu, Jun Zhang, Chenxi Cao, Juanfen Mo, Yi Bao

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Biomedicines · 2026
    Article
  3. Journal of clinical medicine · 2024
    Article
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.

YuXuan Zhang *The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310000, People's Republic of China.
Yuhong Shen *Transfusion Center, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.ORCID 0009-0005-5490-0332
Jiayuan WuThe Key Laboratory, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Jun ZhangThe Department of Thoracic Surgery, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Chenxi CaoThe Department of Oncology, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Juanfen MoThe Key Laboratory, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Yi BaoThe Key Laboratory, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: PIK3CA-mutant non-small-cell lung cancer (NSCLC) is associated with other genetic mutations and may influence treatment strategies and clinical outcomes. We aimed to characterize PIK3CA mutations co-occurring with several major driver mutations using data from published cohorts and our medical center. Materials and Methods: We analyzed NSCLC patients harboring PIK3CA mutations from The Cancer Genome Atlas (TCGA) and Memorial Sloan Kettering (MSK) databases and retrospectively identified NSCLC patients with PIK3CA-mutants at a single medical center from our electronic records. The Log rank test was used to determine the association between PIK3CA mutations and overall survival (OS) in NSCLC patients. Results: Common hotspot mutations in PIK3CA were found in exon 9 (c.1633G > A, E545K, and c.1624G > A, E542K) and exon 20 (c.3140A > G, H1047R) in all cohorts. Co-occurring mutations of PIK3CA with EGFR, KRAS, and TP53 have been frequently observed in patients with NSCLC, with different percentages in these datasets generated by different background. PIK3CA mutations were observed to be significantly associated with poor OS in lung adenocarcinomas patients in the MSKCC cohort (hazard ratio [HR] = 0.519, 95% confidence interval [CI] = 0.301-0.896; Conclusion: PIK3CA co-occurring mutations in other genes may represent distinct subsets of NSCLC. Further elucidation of the roles of PIK3CA hotspot mutations combined with other driver mutations, including EGFR and KRAS, is needed to guide effective treatment in patients with advanced NSCLC.

Indexed as

co-occurring mutationMemorial Sloan Kettering Cancer Centernon-small cell lung cancerPIK3CAThe Cancer Genome Atlas

Identifiers

PMID39282132
PMCPMC11402363

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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.