Evidence map›Paper›PMID 35767139›Full record

SynthesisTargeted oncology2022

Prognostic and Predictive Value of PIK3CA Mutations in Metastatic Colorectal Cancer.

Elaine S Tan, Wenyi Fan, Todd C Knepper, Michael J Schell, Ibrahim H Sahin, Jason B Fleming, Hao Xie

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Targeted oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Observational
  6. Review
  7. Frequent Detection ofHuman mutation · 2026
    Article
  8. Prevalence and clinical impact ofFrontiers in oncology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Identification of Candidate Alterations Mediating KRASG12C Inhibitor Resistance in Advanced Colorectal and Pancreatic Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. The Genomic Environment ofJournal of clinical medicine · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Elaine S TanDepartment of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Wenyi FanDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA.
Todd C KnepperDepartment of Individualized Cancer Management, Moffitt Cancer Center, Tampa, FL, USA.
Michael J SchellDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA.
Ibrahim H SahinDepartment of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Jason B FlemingDepartment of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Hao XieDepartment of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA. hao.xie@moffitt.org.
Moffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive genomic profiling is used to guide the management of metastatic colorectal cancer (mCRC); however, the role of PIK3CA mutations, present in up to 20% of mCRCs, is unclear.

objectiveThis study aimed to evaluate the association of PIK3CA mutations with other common mutations in mCRC and determine the prognostic and predictive value of PIK3CA mutations. PATIENTS AND

methodsA retrospective chart review was performed on patients in the Moffitt Clinical Genomic Database with mCRC. A meta-analysis was performed to further evaluate the predictive value of PIK3CA mutations to the response to anti-epidermal growth factor receptor (EGFR) therapy.

resultsAmong 639 patients, PIK3CA was positively correlated with KRAS mutation (r = 0.11, p = 0.006) and negatively correlated with TP53 mutation (r = - 0.18, p ≤ 0.001) and ERBB2 amplification (r = - 0.08, p = 0.046). The median overall survival (OS) of patients with PIK3CA-mutant mCRC (n = 49) was 35.5 (95% confidence interval [CI] 18.7-48.1) months vs. 55.3 (95% CI 47.5-65.6) months for PIK3CA wild-type mCRC (n = 286) [p = 0.003]. This OS difference remained significant with exon 9 and exon 20 subset analyses. There was no significant difference in response rate between patients with PIK3CA wild-type (n = 97) versus mutant (n = 9) mCRC who received anti-EGFR therapy (43% vs. 56%, p = 0.61) and no significant difference in median progression-free survival (PFS) of 10.3 versus 7.2 months (p = 0.60). However, our meta-analysis of 12 studies, including ours, using a common effect model identified that PIK3CA mutations are associated with reduced response to anti-EGFR therapy, with a relative risk of 0.56 (95% CI 0.38-0.82).

conclusionOur study identified PIK3CA mutations as a poor prognostic factor, and our meta-analysis identified PIK3CA mutations as predictive of decreased response to anti-EGFR therapy in patients with mCRC.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsAntibodies, MonoclonalBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesErbB ReceptorsHumansMutationPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Retrospective StudiesAntibodies, MonoclonalBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesErbB ReceptorsPhosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID35767139
OpenAlexW4283723978

What OpenQuestion holds

Textmetadata
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.