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Abstract P5-13-25: <i>PIK3CA</i> registry: A noninterventional, descriptive, retrospective cohort study of <i>PIK3CA</i> mutations in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer (ABC)

2022· article· en· W4220673086 on OpenAlexaff
Pathmanathan Rajadurai, Т. Yu. Semiglazova, Alinta Hegmane, Fadi El Karak, Joanne Chiu, Sudeep Gupta, Hamdy A. Azim, Josef JEM Kitzen, Antoine Arnaud, Sina Haftchenary, Jiwen Wu, Lakshmi Menon-Singh, LaTonya Smith, Lyudmila Zhukova

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsNovartis (Canada)
Fundersnot available
KeywordsMedicineFulvestrantInternal medicineOncologyPopulationMetastatic breast cancerCohortClinical endpointClinical trialBreast cancerCancerGynecologyEstrogen receptor

Abstract

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Abstract Introduction: PIK3CA mutations (mut) occur in ~40% of patients (pts) with HR+, HER2- ABC, and lead to phosphatidylinositol 3-kinase (PI3K) pathway hyperactivation, endocrine resistance, and poor survival in advanced disease. Alpelisib, an α-selective PI3K inhibitor and degrader, demonstrated efficacy in combination with fulvestrant in the Phase III SOLAR-1 trial in pts with PIK3CA-mut HR+, HER2- ABC. Notably, treatment benefit was not seen in pts without PIK3CA-mut tumors. Expert guidelines now recommend testing for PIK3CA mut at advanced diagnosis; however, data on PIK3CA mut prevalence in a broader population outside of clinical trials are limited. This real-world study snapshot describes the global prevalence of PIK3CA mut across geographic areas in HR+, HER2- ABC. Methods: This noninterventional, retrospective cohort study of ~2,000 adults (≥18 years) in ~20 countries from Europe, Asia, Middle East (ME), and Latin America (LA) is assessing the frequency of PIK3CA mut in HR+, HER2- ABC. Key inclusion criteria are histologically/cytologically confirmed estrogen/progesterone receptor-positive and HER2- ABC with available fresh or archival tumor tissue. The primary endpoint is the percentage of pts with PIK3CA-mut tumors, specifying each hotspot. Key secondary endpoints include the percentage of pts with PIK3CA-mut tumors by geographic region, demographics by PIK3CA status, clinical characteristics, number of lines of treatment in the advanced setting, and time to subsequent treatment by PIK3CA status. Tumor tissue samples are assessed at a local laboratory, at a minimum, for PIK3CA mut in C420R, E542K, E545A/D/G/K, Q546E/R, and H1047L/R/Y. All statistical analyses are descriptive, and the prognostic role of PIK3CA mut will be evaluated in the final analysis. Results: As of data cut-off (03 May 2021), 1,361 pts were enrolled in the Full Analysis Set, 574 (42.2%) of whom have tumors harboring a PIK3CA mut. Table 1 summarizes demographics and baseline characteristics in the mut and non-mut cohorts. Polymerase chain reaction and next-generation sequencing were the common methods used to assess PIK3CA mut in 570 (41.9%) and 625 (45.9%) of pts, respectively. PIK3CA mut rates are generally consistent across regions (30.7-44.0%, Table 2). Table 2 shows sample types and most common biomarker muts. Conclusions: In this study, PIK3CA mut rates, 43.0% in Asia, 44.0% in Europe, 40.9% in LA, and 30.7% in ME, were consistent across regions and closely followed previous reports, supporting the prevalence of this mut outside the trial setting and in a more diverse real-world pt population. The most common PIK3CA muts found in this study were H1047R, E545K, and E542K, consistent with SOLAR-1. PIK3CA mut rates were comparable in primary vs metastatic samples, supporting the existing body of evidence that PIK3CA mut are truncal and can be tested on any available tissue. Further analysis, including treatment-related information, will be presented. Table 1.Demographics, baseline characteristics, and disease history (Full Analysis Set)Mutant PIK3CANon-mutant PIK3CAAll patientsn=574n=787N=1,361Median age (range) at early disease diagnosisa50.0 (28.0-85.0)51.0 (23.0-83.0)51.0 (23.0-85.0)Median age (range) at advanced disease diagnosis57.0 (26.0-89.0)55.5 (23.0-87.0)56.0 (23.0-89.0)Median age (range) at enrollment59.5 (27.0-89.0)59.0 (23.0-87.0)59.0 (23.0-89.0)Sex, n (%)Female566 (98.6)778 (98.9)1,344 (98.8)Male8 (1.4)8 (1.0)16 (1.2)Unknown01 (0.1)1 (0.1)Race, n (%)White294 (51.2)418 (53.1)712 (52.3)Asian183 (31.9)239 (30.4)422 (31.0)Black or African American5 (0.9)13 (1.7)18 (1.3)Multiple1 (0.2)0 (0.0)1 (0.1)Unknown91 (15.9)117 (14.9)208 (15.3)Menopausal status at advanced disease diagnosis, n (%)bMutant PIK3CANon-mutant PIK3CAAll patientsn=566n=778N=1,344Postmenopausal410 (72.4)554 (71.2)964 (71.7)Premenopausal146 (25.8)214 (27.5)360 (26.8)Stage at initial diagnosis, n (%)Mutant PIK3CANon-mutant PIK3CAAll patientsn=574n=787N=1,361Recurrent breast cancerc299 (52.1)414 (52.6)713 (52.4)De novo advanced breast cancerd265 (46.2)357 (45.4)622 (45.7)Unknown10 (1.7)16 (2.0)26 (1.9)Time from early diagnosis to advanced disease, n (%)<1 year32 (5.6)33 (4.2)65 (4.8)1 to <2 years25 (4.4)25 (3.2)50 (3.7)2 to <3 years29 (5.1)40 (5.1)69 (5.1)≥ 3 years149 (26.0)214 (27.2)363 (26.7)Extent of metastatic disease, n (%)Bone390 (67.9)456 (57.9)846 (62.2)Liver141 (24.6)204 (25.9)345 (25.3)Lung171 (29.8)245 (31.1)416 (30.6)Other127 (22.1)155 (19.7)282 (20.7)Number of metastatic sites, n (%)013 (2.3)21 (2.7)34 (2.5)1229 (39.9)324 (41.2)553 (40.6)>1332 (57.8)442 (56.2)774 (56.9)aCensored patients initially diagnosed as de novo advanced breast cancer.bMenopausal status is applicable only to female patients. Sites are provided the option to choose from 1) Able to bear children, 2) Post-menopausal, or 3) Sterile - of childbearing age.cStage 0-IIIA at initial diagnosis.dStage IIIB, IIIC, or IV at initial diagnosis. Table 2.PIK3CA mutation status by region and sample typeFrequency of mutant PIK3CA by regionMutant/Number of patients% (95% CI)All patients574/1,36142.2 (39.5-44.9)Asia193/44943.0 (38.4-47.7)Europe312/70944.0 (40.3-47.8)Latin America27/6640.9 (29.0-53.7)Middle East42/13730.7 (23.1-39.1)Mutant PIK3CANon-mutant PIK3CAAll patientsn=574n=787N=1,361Region, n (%)Asia193 (33.6)256 (32.5)449 (33.0)Europe312 (54.4)397 (50.4)709 (52.1)Latin America27 (4.7)39 (5.0)66 (4.8)Middle East42 (7.3)95 (12.1)137 (10.1)Tumor tissue type, n (%)Archival tumor536 (93.4)754 (95.8)1,290 (94.8)Newly obtained tumor sample38 (6.6)33 (4.2)71 (5.2)Source of tumor biopsy, n (%)Primary372 (64.8)496 (63.0)868 (63.8)Metastatic202 (35.2)291 (37.0)493 (36.2)Most common PIK3CA mutationsa, n (%); 95% CIbH1047R197 (34.3); 95% CI (30.4-38.4)0197 (14.5); 95% CI (12.6-16.5)E545K100 (17.4); 95% CI (14.4-20.8)0100 (7.3); 95% CI (6.0-8.9)E542K66 (11.5); 95% CI (9.0-14.4)066 (4.8); 95% CI (3.8-6.1)aIncludes patients with double or multiple mutations.b95% Confidence Interval (CI) is calculated using exact binomial method. Citation Format: Pathmanathan Rajadurai, Tatiana Semiglazova, Alinta Hegmane, Fadi El Karak, Joanne W Chiu, Sudeep Gupta, Hamdy A Azim, Josef JEM Kitzen, Antoine Arnaud, Sina Haftchenary, Jiwen Wu, Lakshmi Menon-Singh, LaTonya Smith, Lyudmila Zhukova. PIK3CA registry: A noninterventional, descriptive, retrospective cohort study of PIK3CA mutations in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer (ABC) [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-13-25.

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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)0.002
metaresearch head score (Gemma)0.003
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.029
GPT teacher head0.344
Teacher spread0.315 · 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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Citations4
Published2022
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