Evidence map›Paper›PMID 29540052›Full record

Observational studyCancer research and treatment2019

Prevalence and Prognostic Role of PIK3CA/AKT1 Mutations in Chinese Breast Cancer Patients.

Ling Deng, Xuehua Zhu, Yun Sun, Jiemin Wang, Xiaorong Zhong, Jiayuan Li, Min Hu, Hong Zheng

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

31 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
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  4. International journal of molecular sciences · 2025
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  9. Precision diagnosis and treatment of PI3K/AKT/PTEN signaling pathway in HR-positive advanced breast cancer: perspectives from Chinese experts.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
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  15. Comparison ofJCO precision oncology · 2022
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  17. Current oncology (Toronto, Ont.) · 2022
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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 2 institutions in 1 country.

Ling DengLaboratory of Molecular Diagnosis of Cancer, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Xuehua ZhuDizal (Jiangsu) Pharmaceutical Co., Ltd., Shanghai, China.
Yun SunDizal (Jiangsu) Pharmaceutical Co., Ltd., Shanghai, China.
Jiemin WangDizal (Jiangsu) Pharmaceutical Co., Ltd., Shanghai, China.
Xiaorong ZhongLaboratory of Molecular Diagnosis of Cancer, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jiayuan LiDepartment of Epidemiology and Bio-Statistics, West China School of Public Health, Sichuan University, Chengdu, China.
Min HuDizal (Jiangsu) Pharmaceutical Co., Ltd., Shanghai, China.
Hong ZhengLaboratory of Molecular Diagnosis of Cancer, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, National Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNState Key Laboratory of Biotherapy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe prevalence of PIK3CA in Chinese breast cancer patients may be underestimated. Therefore, we investigated the distribution of somatic PIK3CA/AKT1 mutations in Chinese breast cancer patients and explored their roles in tumor phenotypes and disease prognosis. MATERIALS AND

methodsTumors from 507 breast cancer patients were prospectively collected from the West China Hospital between 2008 and 2013. Whole exons of AKT1 and PIK3CAwere detected in freshfrozen tumors using next-generation sequencing, and correlations between PIK3CA/AKT1 mutations and clinicopathological features were analyzed.

resultsThe AKT1mutation was found in 3.6% (18/507) of patients. Tumors from patients that carried the AKT1mutation were estrogen receptor (ER)+/progesterone receptor (PR)+/human epidermal growth factor receptor 2 (HER2)‒ and were more likely to have high expression levels of Ki67. The prevalence of the PIK3CA mutation was 46.5% (236/507), and 35 patients carried two or three variants of the PIK3CA gene. PIK3CA mutations were associated with ER+/PR+/HER2‒ status. The prognosis of patients with one mutation in PIK3CA (or PIK3CA/AKT1) was not significantly different than that of patients with wild-type PIK3CA (or PIK3CA/AKT1), while patients with two or three variants in PIK3CA (or PIK3CA/AKT1) exhibited poorer outcomes in the entire group and in all three subgroups (ER+, HER2‒, Ki67 high), particularly with respect to overall survival.

conclusionA high frequency of somatic PIK3CA mutations was detected in Chinese breast cancer patients. In addition to the mutation frequency, the tumor mutational burden of the PIK3CA and AKT1 genes should also be of concern, as they may be associated with poor prognosis.

Indexed as

MutationAdultAsian PeopleBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesExome SequencingFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedPrevalencePrognosisProspective StudiesProto-Oncogene Proteins c-aktReceptors, EstrogenAKT1 protein, humanClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPIK3CA protein, humanProto-Oncogene Proteins c-aktReceptors, EstrogenReceptors, ProgesteroneAKT1Breast neoplasmsPIK3CAPrognosis

Identifiers

PMID29540052
PMCPMC6333988
OpenAlexW2789813897

What OpenQuestion holds

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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.