Sex influence on cancer immunotherapy efficacy and safety in advanced non-small cell lung cancer (NSCLC): A Canadian institution real-world experience.
Bibliographic record
Abstract
e20618 Background: Males and females differ in innate and adaptive immune responses. This difference may also be reflected in their response to cancer immunotherapies. Immune checkpoint inhibitors (ICIs) have revolutionized the treatment for advanced NSCLC, however the impact of sex on treatment outcomes in these patients remains unclear. The aim of this retrospective cohort study was to evaluate sex-related differences in immunotherapy outcome in a real-world population of NSCLC patients treated with ICIs. Methods: Demographics, clinical, pathological and treatment characteristics were assessed. Treatment-related variables were analyzed to understand the differences in efficacy and safety outcomes including response rates, PFS, OS and all-cause treatment discontinuation (TD) in relation to sex. Results: 152 advanced NSCLC patients receiving first-line immunotherapy, either alone or in conjunction with chemotherapy, were included in the study cohort. Females were younger age, were more likely to be non-smokers, have non-squamous tumors and had a higher prevalence of pre-existing autoimmune diseases compared to males. Disease control (CR/PR/SD) was achieved in 65.8% of patients. Median PFS was 12.0 mo in females and 14.1 mo in males. Median OS for all patients was 15.8 mo; 16.1 and 15.7 mo in females and males respectively. No statistical differences based on gender were observed in PFS and OS (P = 0.767 and P = 0.657). In regression analysis older age and presence of liver metastases were independent poor prognostic factors. Gender was not an independent prognostic factor in PFS and OS. Notably, 44 or 28.9% patients developed symptomatic immune-related adverse events (ir-AEs) that led to TD (Table 1). ir-AE-related TD occurred at a significantly higher rate in females compared with males (Table 1; 38.2% vs 19.7%, RR = 1.90; 95% CI: 1.12 to 3.26; p = 0.018). GI toxicity, including hepatitis and colitis was predominantly observed in females, whereas pneumonitis was the most frequent ir-AE leading to TD in males. Conclusions: Despite no significant differences based on gender were observed in PFS and OS, our study showed that female patients with advanced NSCLC receiving ICIs are at a substantially greater risk of severe symptomatic ir-AEs and TD. This finding indicates that broad-based sex differences in this context could potentially exist and emphasizes the need for further investigations into the role played by gender in immunity and cancer immunotherapy treatment.[Table: see text]
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".