Evidence map›Paper›PMID 26028978›Full record

ReviewBreast cancer (Dove Medical Press)2015

PI3K mutations in breast cancer: prognostic and therapeutic implications.

Toru Mukohara

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Breast cancer (Dove Medical Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
–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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Phase I/II Trial of Exemestane, Ribociclib, and Everolimus in Women with HRClinical cancer research : an official journal of the American Association for Cancer Research · 2021
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  7. A Novel Workflow to Enrich and Isolate Patient-Matched EpCAMInternational journal of molecular sciences · 2017
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  9. Review
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51 more citing papers are in PubMed but not listed here.

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

1 author.

Toru MukoharaCancer Center and Division of Medical Oncology/Hematology, Kobe University Hospital, Kobe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PI3K pathway is the most frequently enhanced oncogenic pathway in breast cancer. Among mechanisms of PI3K enhancement, PIK3CA mutations are most frequently (∼30%) observed, along with protein loss of PTEN. Since the first discovery of PIK3CA mutations in solid malignancies in 2004, numerous studies have revealed the prognostic and therapeutic implications of these mutations. Although many issues remain unconfirmed, some have been carved in stone by the level of consistency they have shown among studies: 1) PIK3CA mutations are most likely to be observed in ER-positive/HER2-negative tumors, and are associated with other good prognostic characters; 2) PIK3CA mutations can coexist with other PI3K-enhancing mechanisms, such as HER2 amplification and PTEN protein loss; 3) PIK3CA mutations are potentially a good prognostic marker; 4) PIK3CA may predict a poorer tumor response to trastuzumab-based therapies, but its impact on disease-free survival and overall survival is uncertain; and 5) based on reports of early clinical trials, PIK3CA mutations do not guarantee a dramatic response to PI3K inhibitors. Collectively, there is currently no sufficient evidence to recommend routine genotyping of PIK3CA in clinical practice. Given that PIK3CA-mutant breast cancer appears to have a distinct tumor biology, development of more individualized targeted therapies based on the PIK3CA genotype is awaited.

Indexed as

PI3KPIK3CApredictive factorprognostic factortrastuzumab

Identifiers

PMID26028978
PMCPMC4440424

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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.