Evidence map›Paper›PMID 29906308›Full record

ArticleCancer science2018

PIK3CA mutation profiling in patients with breast cancer, using a highly sensitive detection system.

Tatsunori Shimoi, Akinobu Hamada, Marifu Yamagishi, Mitsuharu Hirai, Masayuki Yoshida, Tadaaki Nishikawa, Kazuki Sudo, Akihiko Shimomura, Emi Noguchi, Mayu Yunokawa and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Detection ofBiomolecules · 2021
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  7. A NovelBiomedicines · 2024
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  19. Article
  20. Molecular determinants of drug response in TNBC cell lines.Breast cancer research and treatment · 2020
    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

16 authors at 5 institutions in 3 countries.

Tatsunori ShimoiDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.ORCID http://orcid.org/0000-0002-3603-8575
Akinobu HamadaDivision of Molecular Pharmacology and Pharmacokinetics, National Cancer Center Research Institute, Tokyo.
Marifu YamagishiResearch and Development Division, ARKRAY, Inc., Kyoto.
Mitsuharu HiraiResearch and Development Division, ARKRAY, Inc., Kyoto.
Masayuki YoshidaDepartment of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo.
Tadaaki NishikawaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.ORCID http://orcid.org/0000-0003-2606-4208
Kazuki SudoDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
Akihiko ShimomuraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
Emi NoguchiDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.ORCID http://orcid.org/0000-0003-0326-7555
Mayu YunokawaDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.ORCID http://orcid.org/0000-0001-7354-6977
Kan YonemoriDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
Chikako ShimizuDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
Takayuki KinoshitaDepartment of Breast Surgery, National Cancer Center Hospital, Tokyo.
Takahiro FukudaGraduate School of Medicine, Juntendo University, Tokyo.
Yasuhiro FujiwaraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.
Kenji TamuraDepartment of Breast and Medical Oncology, National Cancer Center Hospital, Tokyo.ORCID http://orcid.org/0000-0002-3514-9927
National Cancer Center · USArkray (Japan) · JPJuntendo University · JPBreast Cancer Research Foundation · USNational Cancer Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PIK3CA mutations are common activating mutations associated with breast cancer (occurring in 20-30% of all cases) and are potent predictive markers for responses to PI3K inhibitors. Thus, it is important to develop sensitive methods to detect these mutations. We established a novel detection method using a quenching probe (QP) system to identify PIK3CA mutations, using DNA from 309 breast cancer tissues. In a developmental cohort, we determined the optimal detection threshold of the QP system with human tumor DNA from 119 freshly frozen tumor samples. We found a 96% concordance rate with the QP system between DNA from 26 matching fresh-frozen specimens and formalin-fixed paraffin-embedded (FFPE) specimens from the same patients, and known PIK3CA mutation status in the developmental cohort. In a validation cohort, we evaluated whether the threshold for judging mutations using the QP system with frozen specimen-derived DNA was applicable with FFPE-derived DNA. In the validation cohort, 30 DNA samples from 190 FFPE-derived DNA samples with known PIK3CA mutation status were analyzed by direct sequencing (DS) and droplet digital PCR, in a blinded manner. The sensitivity and specificity of the droplet digital PCR results were 100% and 100% (QP system), and 60% and 100% (DS), respectively. We also analyzed the relationship between clinical outcomes and the PIK3CA mutational status of 309 breast cancer samples, including the developmental cohort and validation cohort samples. Multivariate analysis suggested that PIK3CA mutations, especially H1047R, were prognostic factors of relapse-free survival. Our novel detection system could be more useful than DS for detecting clinical PIK3CA mutations.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesCohort StudiesDNA Mutational AnalysisDNA, NeoplasmFemaleHumansMiddle AgedMutationSensitivity and SpecificityYoung AdultBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesDNA, NeoplasmPIK3CA protein, humanbreast cancerhighly sensitivePIK3CA mutationquenching probe systemsurvival

Identifiers

PMID29906308
PMCPMC6113507
OpenAlexW2808089916

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.