Evidence map›Paper›PMID 36595567›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2023

Genetic Heterogeneity and Tissue-specific Patterns of Tumors with Multiple PIK3CA Mutations.

Smruthy Sivakumar, Dexter X Jin, Ruchita Rathod, Jeffrey Ross, Lewis C Cantley, Maurizio Scaltriti, Jessica W Chen, Katherine E Hutchinson, Timothy R Wilson, Ethan S Sokol and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2023. 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
4.5field-weighted citation impact, top 5% 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, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. OncogenicJournal for immunotherapy of cancer · 2026
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  7. PI3Kα Inhibitor and Degrader Inavolisib Can Co-opt FGFR2 to Enhance Responses in Patients with PIK3CA-Mutated Solid Tumors and in Preclinical Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  8. Article
  9. Evolution and Co-occurrence of PI3K Pathway Gene Mutations in Endometrial Carcinoma Molecular Subtypes at the Single-Cell Level.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  10. UnveilingTranslational cancer research · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Green Synthesis of CuO Nanoparticles from MacroalgaeNanomaterials (Basel, Switzerland) · 2024
    Article
  16. Article
  17. Basket Trials: Past, Present, and Future.Annual review of cancer biology · 2024
    Article
  18. Article
  19. Article
  20. 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

11 authors at 6 institutions in 3 countries.

Smruthy SivakumarFoundation Medicine, Cambridge, Massachusetts.ORCID 0000-0001-7790-5615
Dexter X JinFoundation Medicine, Cambridge, Massachusetts.ORCID 0000-0001-6545-1580
Ruchita RathodDepartment of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, New York.ORCID 0000-0001-9382-9130
Jeffrey RossFoundation Medicine, Cambridge, Massachusetts.ORCID 0000-0001-8494-2596
Lewis C CantleyDana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-1298-7653
Maurizio ScaltritiAstraZeneca, Gaithersburg, Maryland.ORCID 0000-0002-5522-1447
Jessica W ChenOncology Biomarker Development, Genentech, South San Francisco, California.ORCID 0000-0003-4425-6369
Katherine E HutchinsonOncology Biomarker Development, Genentech, South San Francisco, California.ORCID 0000-0002-4660-3523
Timothy R WilsonOncology Biomarker Development, Genentech, South San Francisco, California.ORCID 0000-0003-0530-4663
Ethan S SokolFoundation Medicine, Cambridge, Massachusetts.ORCID 0000-0002-5480-8473
Neil VasanDepartment of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, New York, New York.ORCID 0000-0003-1779-484X
Biomarker Technologies (China) · CNGlobalFoundries (United States) · USColumbia University Irving Medical Center · USAstraZeneca (Japan) · JPDana-Farber Cancer Institute · USSUNY Upstate Medical University · US

Funding

Investigating a hierarchical model for PI3K activation and inhibition in breast cancer by double PIK3CA mutations in cisK08CA245192 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI VASAN, NEIL · 2020 to 2024
$1.2M
NCI NIH HHS K08 CA245192
6 · The paper itself

Abstract

purposeTo comprehensively characterize tissue-specific and molecular subclasses of multiple PIK3CA (multi-PIK3CA) mutations and assess their impact on potential therapeutic outcomes. EXPERIMENTAL

designWe profiled a pan-cancer cohort comprised of 352,392 samples across 66 tumor types using a targeted hybrid capture-based next-generation sequencing panel covering at least 324 cancer-related genes. Molecularly defined subgroups, allelic configuration, clonality, and mutational signatures were identified and tested for association with PI3K inhibitor therapeutic response.

resultsMulti-PIK3CA mutations are found in 11% of all PIK3CA-mutant tumors, including 9% of low tumor mutational burden (TMB) PIK3CA-mutant tumors, and are enriched in breast and gynecologic cancers. Multi-PIK3CA mutations are frequently clonal and in cis on the same allele and occur at characteristic positions across tumor types. These mutations tend to be mutually exclusive of mutations in other driver genes, and of genes in the PI3K pathway. Among PIK3CA-mutant tumors with a high TMB, 18% are multi-PIK3CA mutant and often harbor an apolipoprotein B mRNA-editing enzyme, catalytic polypeptide (APOBEC) mutational signature. Despite large differences in specific allele combinations comprising multi-PIK3CA mutant tumors, especially across cancer types, patients with different classes of multi-PIK3CA mutant estrogen receptor-positive, HER2-negative breast cancers respond similarly to PI3K inhibition.

conclusionsOur pan-tumor study provides biological insights into the genetic heterogeneity and tissue specificities of multi-PIK3CA mutations, with potential clinical utility to guide PI3K inhibition strategies.

Indexed as

Breast NeoplasmsPhosphatidylinositol 3-KinasesClass I Phosphatidylinositol 3-KinasesFemaleGenetic HeterogeneityHumansMutationClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID36595567
PMCPMC10011881
OpenAlexW4313453627

What OpenQuestion holds

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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.