Evidence map›Paper›PMID 39054873›Full record

ArticleCancer medicine2024

Characterizing multi-PIK3CA mutations across cancer types: Toward precision oncology.

Kohei Nakamura, Marin Ishikawa, Ryutaro Kawano, Eriko Aimono, Takaaki Mizuno, Sachio Nohara, Shigeki Tanishima, Hideyuki Hayashi, Hiroshi Nishihara, Keio PleSSision Group

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Kohei NakamuraGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.ORCID 0000-0002-5162-7132
Marin IshikawaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Ryutaro KawanoGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Eriko AimonoGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Takaaki MizunoGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Sachio NoharaDepartment of Biomedical Informatics, Communication Engineering Center, Electronic Systems Business Group, Mitsubishi Electric Software Co., Ltd., Amagasaki, Hyogo, Japan.
Shigeki TanishimaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Hideyuki HayashiGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.ORCID 0000-0002-4974-8015
Hiroshi NishiharaGenomics Unit, Keio Cancer Center, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan.
Keio PleSSision Group

Funding

Japan Agency for Medical Research and Development JP23ck0106872Japan Agency for Medical Research and Development JP24ck0106872Japan Society for the Promotion of Science 23K08829the Japan Agency for Medical Research and Development (AMED) JP24ck0106872
6 · The paper itself

Abstract

backgroundPIK3CA mutations are implicated in various cancers, but the implications of multiple concurrent mutations and their orientations within the gene have not been fully explored.

methodsIn this study, we analyzed multi-PIK3CA mutations across a diverse pan-cancer cohort comprising 3564 tumors.

resultsMulti-PIK3CA mutations were present in 10.3% of all PIK3CA-mutant tumors, predominantly occurring in breast and gynecological cancers. Notably, mutations within the helical domain (E542:E545) exclusively occurred in the trans-orientation, contrasting with mutations in the kinase ABD and C2 domains, which mainly appeared in the cis orientation.

conclusionsThe distinct pattern of mutation orientations in PIK3CA suggests variable oncogenic potential, with helical domain mutations in the trans-orientation potentially being less oncogenic. These findings highlight the importance of mutation orientation in the PIK3CA gene as potential biomarkers for targeted therapy. This understanding is crucial for designing clinical trials that leverage PI3K inhibitors, aiming for more effective and precise cancer treatment.

Indexed as

Class I Phosphatidylinositol 3-KinasesMutationNeoplasmsPrecision MedicineBiomarkers, TumorFemaleHumansBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humancismulti‐PIK3CA mutationsPI3K inhibitorprecision oncologytrans

Identifiers

PMID39054873
PMCPMC11272953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.