Safety overview and management of inavolisib alone and in combination therapies in PIK3CA-mutated, HR-positive, HER2-negative advanced breast cancer (GO39374)
Bibliographic record
Abstract
BACKGROUND: Inavolisib is a potent and selective PI3Kα inhibitor that promotes degradation of mutated p110α. We report safety from a phase I/Ib dose-escalation/-expansion study (GO39374; NCT03006172) of inavolisib alone or in combination therapies in PIK3CA-mutated, hormone receptor (HR)-positive, HER2-negative advanced breast cancer. PATIENTS AND METHODS: Patients received inavolisib [oral once daily (od)] alone, with letrozole (2.5 mg od) or fulvestrant (500 mg intramuscularly 4 weekly) ± palbociclib (125 mg od for 21/28 days); metformin was included in one arm. PRIMARY ENDPOINT: safety and tolerability. RESULTS: At data cutoff (1 January 2024), 190 patients had been treated, of which 179 (94.2%) had discontinued study treatment, mainly due to progressive disease [146 (76.8%)]. Treatment-related any-grade and grade 3-5 adverse events (AEs) occurred in 181 (95.3%) and 107 (56.3%) patients, respectively. Inavolisib-related AEs led to inavolisib withdrawal in 5 (2.6%) and dose reductions/interruptions in 103 (54.2%) patients. Hyperglycemia, diarrhea, stomatitis (grouped terms), and rash (grouped terms) occurred in 129 (67.9%), 124 (65.3%), 93 (48.9%), and 47 (24.7%) patients, respectively. Hyperglycemia, diarrhea, and stomatitis mainly occurred early in treatment, and were manageable with supportive measures (including oral antihyperglycemic agents, common antidiarrheal medications, and dexamethasone mouthwash, respectively) and/or inavolisib dose modifications (dose interruptions with or without dose reductions). Hyperglycemia remained frequent in patients with risk factors, despite early metformin treatment. Rash was mostly grade 1 and required no treatment. Patients treated for ≥1 year [n = 65 (34.2%)] demonstrated encouraging long-term tolerability. CONCLUSIONS: Inavolisib alone or in combination with HR-positive breast cancer therapies demonstrated a manageable safety and tolerability profile, which supports its ongoing development.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".