Evidence map›Paper›PMID 39197004›Full record

ArticlePloS one2024

Identification of breast cancer-associated PIK3CA H1047R mutation in blood circulation using an asymmetric PCR assay.

Dinh Thi Thao, Nguyen Phu Thanh, Dong Van Quyen, Ly Tuan Khai, Le Huu Song, Ngo Tat Trung

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 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

6 authors.

Dinh Thi ThaoCenter for Genetic Consultation and Cancer Screening, 108 Military Center Hospital, Hai Ba Trung, Hanoi, Vietnam.ORCID 0009-0002-4749-2949
Nguyen Phu ThanhCenter for Genetic Consultation and Cancer Screening, 108 Military Center Hospital, Hai Ba Trung, Hanoi, Vietnam.
Dong Van QuyenUniversity of Science and Technology of Hanoi, Cau Giay, Hanoi, Vietnam.
Ly Tuan KhaiDepartment of Hematology, Laboratory Center, 108 Military Center Hospital, Hai Ba Trung, Hanoi, Vietnam.
Le Huu SongVietnamese-German Center for Medical Research, 108 Military Center Hospital, Hai Ba Trung Hanoi, Vietnam.
Ngo Tat TrungCenter for Genetic Consultation and Cancer Screening, 108 Military Center Hospital, Hai Ba Trung, Hanoi, Vietnam.ORCID 0000-0001-9808-1176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish a highly sensitive and specific approach for the detection of circulating PIK3CA H1047R mutation in breast cancer (BC) patients and to investigate the association between the prevalence of PIK3CA H1047R mutation and clinical presentations.

methodsA proper blocker was designed in an allele-specific manner and optimized for PCR-based identification of the PIK3CA H1047R mutation. The established technique was validated in cell-free DNA samples from 196 recruited BC patients.

resultsThe allele-specific PCR assay with a properly designed blocker was able to detect the H1047R mutant variant with 0.01%. By applying the newly established assay, 62 cases (31.6% of the total recruited cases) were found to carry a blood-circulating H1047R mutant. Wherein, the detected mutant rates increased with disease stages from 2/18 (11.1%) of stage I to 17/71 (23.9%) of stage II, 20/53 (37.7%) of stage III, and 23/31 (42.6%) of stage IV (p = 0.025), respectively. Higher frequencies of H1047R mutation were associated with late-stage (p = 0.033) or recurrence (p = 0.045) or metastatic patients (p = 0.049) as well as radiation-treated human epidermal growth factor receptor 2 (HER2) positive BC (p = 0.004). PIK3CA mutant carriers were frequently observed in patients under the age of 50 who had liver-metastasized or brain metastases or lymph node-invaded (p < 0.05).

conclusionA novel allele-specific PCR assay with high sensitivity was established successfully for the detection of the PIK3CA H1047R mutation in clinical practice.

Indexed as

Breast NeoplasmsClass I Phosphatidylinositol 3-KinasesMutationPolymerase Chain ReactionAdultAgedAllelesFemaleHumansMiddle AgedNeoplasm StagingClass I Phosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID39197004
PMCPMC11356436

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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.