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Abstract P154: Genomic profiling and matched therapy for recurrent or metastatic salivary gland neoplasms. Results from the matched cohort of the GEMS-001 clinical trial

2021· article· en· W4200094785 on OpenAlexaff
Alberto Hernando‐Calvo, Eoghan Ruadh Malone, Daphne Dai, Amy Prawira, Ilan Weinreb, Anneli Eliason, Angela Rodriguez, Katherine Lajkosz, Sarah Jennings, Anna Spreafico, Lillian L. Siu, Aaron R. Hansen

Bibliographic record

VenueMolecular Cancer Therapeutics · 2021
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsSalivary glandCohortMedicineProfiling (computer programming)Clinical trialOncologyInternal medicinePathologyComputer science

Abstract

fetched live from OpenAlex

Abstract Background Salivary gland tumors (SGT) are rare and heterogeneous diseases with limited systemic options available. Results from recent basket trials including SGT cohorts for specific actionable alterations (AA) have described promising outcomes with molecularly targeted approaches (TA). Methods The GEMS-001 study (NCT02069730) is an ongoing multi-arm trial with two phases. In part 1, recurrent or metastatic (R/M) SGT patients (pts) undergo comprehensive immunohistochemistry (IHC) including HER2, androgen receptor (AR) and ALK translocation and multigene panel testing (NGS). Based on the molecular profiling results in part 1, R/M SGT pts are matched to available targeted therapies on disease progression. Here, we present the efficacy results for the matched cohort of the GEMS-001 study. Results As of July 2021, 100 pts underwent molecular profiling within part 1. According to the SGT subtype (WHO 2017): 49% adenoid cystic carcinoma (ACC), 18% salivary duct carcinoma (SDC), 9% acinic (ACI) and 24% other subtypes (O). Overall, on IHC HER2 overexpression was present in 10%, AR 24% and ALK translocation 0%. On NGS, PIK3CA mutation (mut) was in 10%, HRAS mut 7%, ERBB2/3 alterations (alt) 5%, NOTCH1-3 mut 2% and ETV6-NTRK3 fusion 2%. Up to 45% pts displayed at least 1 AA and 25% had ≥2 AA. AA were enriched in SDC (100% ≥1 AA) as compared to ACI (33% ≥1 AAs), O (58% ≥1 AA) or ACC (22% ≥1 AA) (p<0.001 Fisher's exact test). A total of 34 pts (34%) were matched to proteomic or genomic alterations. Of those matched, median age was 62 years (range 47-84), M:F 26:8, 100% ECOG≤1, and their AA-TA included 15 AR (leuprolide+bicalutamide), 4 HER2 or ERBB2 alt (trastuzumab+pertuzumab), 4 PIK3CA mut (PIK3CA inhibitor), 2 cyclin pathway alt (palbociclib), 2 ETV6-NTRK3 fusion (larotrectinib) and 7 other AAs (1 EGFR L858 mut (afatinib), 1 c-KIT mut (imatinib), 1 BAP1 mut (olaparib), 1 Non-V600 BRAF mut (pan-RAF inhibitor), 1 CHEK2 mut (olaparib), 1 ATM mut (olaparib) and 1 PTCH1 (vismodegib)). As per efficacy, overall response rate was 24% and median progression free survival 6.4 months (m) (95%CI 3.4-8.9 m) for the matched population. Complete responses were observed in 2 pts treated with leuprolide+biculatamide (AR). Partial responses were observed in 2 pts treated with larotrectinib (ETV6-NTRK3), 3 pts treated with trastuzumab+pertuzumab (HER2) and 1 pt treated with leuprolide+biculatamide (AR). Notably, among responders median duration of response was 13.9 m (95%CI 4.6-18.0 m). Conclusions In our cohort, more than one third of the population were matched to TA with promising efficacy outcomes. Our results support comprehensive molecular and IHC profiling but its clinical utility may vary depending on the SGT subtype. Citation Format: Alberto Hernando-Calvo, Eoghan Malone, Daphne Dai, Amy Prawira, Ilan Weinreb, Anneli Eliason, Angela Rodriguez, Katherine Lajkosz, Sarah Jennings, Anna Spreafico, Lillian L. Siu, Aaron Hansen. Genomic profiling and matched therapy for recurrent or metastatic salivary gland neoplasms. Results from the matched cohort of the GEMS-001 clinical trial [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P154.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.174
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.381
Teacher spread0.271 · 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 teacher head, 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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Citations1
Published2021
Admission routes1
Has abstractyes

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