Evidence map›Paper›PMID 40016671›Full record

ArticleBMC cancer2025

PIK3CA gene mutation status associated with poor prognosis of breast cancer: a retrospective cohort study.

Min Yan, Zhiqiang Zong, Wenyue Guo, Xinyu Li, Jingjing Li, Xi Xia, Xiaolei Wang, Yuan Kong, Fanfan Li

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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.

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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

9 authors.

Min Yan *Department of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China. 603377877@qq.com.
Zhiqiang Zong *Department of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Wenyue GuoDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Xinyu LiDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Jingjing LiDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Xi XiaDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Xiaolei WangDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
Yuan KongDepartment of Surgery, Division of Life Sciences and Medicine, the First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China. doctorkong@163.com.
Fanfan LiDepartment of Oncology, the Second Afliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China. fflahykdx@163.com.

Funding

Anhui Provincial Key Research and Development Plan 2022e07020038Institute of Energy, Hefei Comprehensive National Science Center GXXT-2022-003, 21KZS202
6 · The paper itself

Abstract

purposePIK3CA gene mutations have been identified in various malignancies, but the prevalence of specific mutations and their role in breast cancer development remain uncertain. This study aimed to investigate the clinicopathological significance and prognostic impact of PIK3CA mutations in breast cancer.

methodsFive common PIK3CA mutations (H1047R and H1047L in exon 20, and E542K, E545K, and E545D in exon 9) were identified in breast cancer patients using amplification refractory mutation system (ARMS) allele-specific PCR. The study examined the relationships between these mutations and clinicopathologic factors, such as age, HR status, Her2 status, lymph node involvement, distant metastasis, clinicopathologic stage, and progression-free survival (PFS).

resultsA total of 40 female breast cancer patients were included in this study. Twenty mutations were detected, with 12 located in exon 20 and 8 in exon 9. The most frequent mutation was H1047R in exon 20, present in 11 patients (14.8%). PIK3CA mutations were more commonly observed in patients with HR + breast cancer (P < 0.05). No significant correlation was found between PIK3CA mutations and age, Her2 status, lymph node involvement, distant metastasis, clinicopathologic stage, or Ki-67 expression. Database analysis from the cBioPortal online database showed that the median PFS (95%CI) of the PIK3CA unaltered group [22.93 (17.25-48.30) months] was higher than that of the altered group [12.98 (8.18-18.14) months]. In this study, PIK3CA mutant-type group [13.00 (10.56-15.45) months] had lower median PFS than that of the wild-type group [25.00 (13.46-36.55) months] in all breast cancer patients, the difference was significant (P = 0.004). Further, compared with PIK3CA wild-type, mutant-type was associated with poor PFS in HR + and Her2 + breast cancer patients (P < 0.05). In addition, positive H1047R mutation in PIK3CA was associated with poor PFS of breast cancer (P < 0.05).

conclusionsOur data and public database research show that the PIK3CA mutation is a significant gene change in breast cancer, and the PIK3CA mutation was associated with a shorter PFS in all, HR + and Her2 + breast cancer patients. This research confirmed the important role of PIK3CA in breast cancer.

Indexed as

Breast NeoplasmsClass I Phosphatidylinositol 3-KinasesMutationAdultAgedBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesExonsFemaleHumansMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPIK3CA protein, humanBreast cancerH1047R mutationPIK3CAPoor survival

Identifiers

PMID40016671
PMCPMC11869396

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.