Evidence map›Paper›PMID 35676284›Full record

ArticleNPJ breast cancer2022

Allelic expression imbalance of PIK3CA mutations is frequent in breast cancer and prognostically significant.

Lizelle Correia, Ramiro Magno, Joana M Xavier, Bernardo P de Almeida, Isabel Duarte, Filipa Esteves, Marinella Ghezzo, Matthew Eldridge, Chong Sun, Astrid Bosma and 6 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 7 institutions in 6 countries.

Lizelle Correia *Faculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0003-2184-9962
Ramiro Magno *Center for Research in Health Technologies and Information Systems (CINTESIS), Universidade do Algarve, Faro, Portugal.
Joana M XavierCenter for Research in Health Technologies and Information Systems (CINTESIS), Universidade do Algarve, Faro, Portugal.
Bernardo P de AlmeidaFaculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal.
Isabel DuarteCenter for Research in Health Technologies and Information Systems (CINTESIS), Universidade do Algarve, Faro, Portugal.
Filipa EstevesFaculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal.
Marinella GhezzoCenter for Research in Health Technologies and Information Systems (CINTESIS), Universidade do Algarve, Faro, Portugal.
Matthew EldridgeCancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Robinson Way, Cambridge, UK.ORCID http://orcid.org/0000-0002-5799-8911
Chong SunDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-9008-2158
Astrid BosmaDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Lorenza MittempergherDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Ana MarreirosFaculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal.ORCID http://orcid.org/0000-0001-9410-4772
Rene BernardsDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8677-3423
Carlos CaldasCancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Robinson Way, Cambridge, UK.ORCID http://orcid.org/0000-0003-3547-1489
Suet-Feung ChinCancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Robinson Way, Cambridge, UK. suet-feung.chin@cruk.cam.ac.uk.ORCID http://orcid.org/0000-0001-5697-1082
Ana-Teresa MaiaFaculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal. atmaia@ualg.pt.ORCID http://orcid.org/0000-0002-0454-9207
Centre for Health Technology and Services Research · PTThe Netherlands Cancer Institute · NLUniversity of Algarve · PTUniversity of Cambridge · GBHeidelberg University · DEResearch Institute of Molecular Pathology · ATTechnologies pour la Santé · FR

Funding

Cancer Research UK 16942Cancer Research UK 29567
6 · The paper itself

Abstract

PIK3CA mutations are the most common in breast cancer, particularly in the estrogen receptor-positive cohort, but the benefit of PI3K inhibitors has had limited success compared with approaches targeting other less common mutations. We found a frequent allelic expression imbalance between the missense mutant and wild-type PIK3CA alleles in breast tumors from the METABRIC (70.2%) and the TCGA (60.1%) projects. When considering the mechanisms controlling allelic expression, 27.7% and 11.8% of tumors showed imbalance due to regulatory variants in cis, in the two studies respectively. Furthermore, preferential expression of the mutant allele due to cis-regulatory variation is associated with poor prognosis in the METABRIC tumors (P = 0.031). Interestingly, ER-, PR-, and HER2+ tumors showed significant preferential expression of the mutated allele in both datasets. Our work provides compelling evidence to support the clinical utility of PIK3CA allelic expression in breast cancer in identifying patients of poorer prognosis, and those with low expression of the mutated allele, who will unlikely benefit from PI3K inhibitors. Furthermore, our work proposes a model of differential regulation of a critical cancer-promoting gene in breast cancer.

Identifiers

PMID35676284
PMCPMC9177727
OpenAlexW4281762255

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.