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Abstract A018: Somatic mutations in the <i>PIK3CA</i> gene and its prognostic implications among Ethiopian Breast cancer patients

2024· article· en· W4405181193 on OpenAlexaboutno aff
Zelalem Desalegn Woldesonbet

Bibliographic record

VenueMolecular Cancer Therapeutics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerMutationMedicineTaqManOncologyImmunohistochemistryInternal medicineCancerProportional hazards modelSomatic cellCancer researchGeneBiologyGeneticsPolymerase chain reaction

Abstract

fetched live from OpenAlex

Abstract Purpose: The phosphatidylinositol-4, 5-bisphosphate 3-kinase (PIK3CA), catalytic subunit alpha (c) is frequently mutated in breast cancer (BC). Although the biological impact of PIK3CA mutations in BC has been studied in various parts of the world, limited data is available from sub-Saharan Africa. In this study, the frequency and the prognostic role of PIK3CA mutations were investigated among BC patients from Ethiopia. Objective: The aim of the study was to determine the frequency of PIK3CA mutations and its prognostic role in patients with breast cancer in Ethiopia. Methods: Formalin-fixed paraffin-embedded blocks and fresh frozen BC tissue samples were collected from patients newly diagnosed with BC. Histopathological evaluation was carried out using immunohistochemistry (IHC). PIK3CA mutation profiling was carried out using TaqMan® Mutation detection assay. The association between PIK3CA mutation status and clinical and histopathological features was evaluated. A survival regression (Cox’s model) was employed to assess the effect of PIK3CA mutation and other variables on survival. Results: The prevalence of the PIK3CA mutations was 20.4%. Mutation of the PIK3CA gene was mainly observed among younger (24%), early pT stage (19.4%), and G1/G2 tumors (22.3%). The proportion of mutation was 24.4%, 27.3% and 20% in ER+, PR+ and HER2- tumors, respectively. A marked difference was observed in the PIK3CA mutation frequency across the four major tumor subgroups. However, most of the mutated tumors were found among HR+/HER2− (24.1%) followed by HR+/HER2+ tumors (27.8%). In his study, only TNBC was negatively associated with the proportion of mutation in the PIK3CA gene (p-value= 0.02) in comparison to HR+/HER2- tumors. In multivariate Cox’s regression analysis, the advanced pT stage and HR−/HER2- IHC group independently predicted worse overall survival. However, PIK3CA mutation status was not associated with survival. Conclusions: The PIK3CA mutation was relatively high in HR+ tumors. Mutation rates of PIK3CA in Ethiopian BC tumors are similar to those reported for other populations. This finding highlighted that molecular aberrations including mutations in a specific could give insight on prognosis and clinical outcome. Citation Format: Zelalem Desalegn Woldesonbet. Somatic mutations in the PIK3CA gene and its prognostic implications among Ethiopian Breast cancer patients [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Optimizing Therapeutic Efficacy and Tolerability through Cancer Chemistry; 2024 Dec 9-11; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(12_Suppl):Abstract nr A018.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.278
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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