Comparative analysis of <i>PIK3CA</i> mutation detection methods in the first-in-human phase 1/1b study of inavolisib.
Bibliographic record
Abstract
e13058 Background: Mutations (mut) in the alpha catalytic subunit of PI3K (p110α, PIK3CA gene) occur in ~35-40% of patients with HR+, HER2- metastatic breast cancer (mBC). Until the recent approvals of therapies targeting PI3K/AKT, PIK3CA mut screening was not included in breast cancer clinical biomarker testing guidelines, and cross-assay concordance studies are limited. Here, we compared PIK3CA mut detection among blood and tissue-based PCR and NGS assays used in the first-in-human phase I/Ib trial (NCT03006172) of the recently FDA-approved p110α-inhibitor, inavolisib. Methods: Biomarker eligibility required at least 1 of 17 oncogenic amino acid substitutions in PIK3CA , determined by blood- or tissue-based PCR or NGS testing performed locally at participating sites (184/190 [96.8%] patients) or by Sponsor central testing of tumor tissue with the cobas PIK3CA Mutation Test (cobas PCR) (6/190 [3.2%]). For concordance analyses, available archival or fresh tumor tissue was retrospectively sequenced with the cobas PCR test (n = 111) and/or FoundationOne (n = 155); available pre-study plasma-derived circulating tumor (ct)DNA was sequenced with the FoundationACT or FoundationOne Liquid CDx (n = 131) NGS assays at Foundation Medicine, Inc (FMI ctDNA). Overall concordance – agreement + disagreement for detection of a study-eligible PIK3CA mut between assays – is reported, unless noted otherwise. Results: PIK3CA mut status was confirmed by central cobas PCR for 97/111 (87.4%) local test enrolled patients: 71.4% (10/14) for blood-based tests; 90.2% (46/51) for tissue-based tests; 100% (20/20) for tissue-based PCR; 80.8% (21/26) for other tests. For 14 participants for whom the locally determined PIK3CA mut status was not centrally confirmed, the type of local test included NGS on tissue (5/14), NGS on blood (3/14), PCR on blood (1/14), and unspecified (5/14). PIK3CA mut detection concordance between cobas PCR and FoundationOne tissue testing was 96.2% (100/104). Concordance between cobas PCR and FMI ctDNA testing was 81.1% (77/95). Similarly, the concordance between FoundationOne and FMI ctDNA testing was 80.2% (85/106). Among 18 patients with discordant results between cobas PCR and FMI ctDNA, discrepancies were not attributed to a single assay, with 11 detected by cobas PCR but not FMI ctDNA, and 7 by FMI ctDNA but not cobas PCR. Conclusions: These results, albeit from a small study, demonstrate the ability of both tissue- and blood-based PCR and NGS assays to robustly identify a similar patient population with PIK3CA mut HR+, HER2- mBC, who may benefit from an inavolisib-based therapy regimen. Differences in PIK3CA mut detection concordance between tissue- vs. blood-based assays may reflect mutational profiling of a single-biopsied lesion vs. a multi-lesion representative blood sample, or insufficient ctDNA shedding; reflex testing on an alternative sample may prove useful in such cases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".