An AI Model Identifies Chemotherapy Benefit in Node-Negative HR+/HER2- Breast Cancer Patients from TAILORx, a Phase 3 Randomized Clinical Trial
Chan, N.; Tang, C.; Biswas, D.; Park, J.; Zeng, K.; Cappadona, J.; Liu, C.; McMclean, A.; Berrevoets, J.; Bao, L.; Machura, B.; Gray, R. J.; Wang, V.; Witowski, J.; Geras, K. J.; Sparano, J. A.; TAILORx Investigators,
Show abstract
BACKGROUND The prescribing of adjuvant chemotherapy for patients with breast cancer must balance the survival benefit against treatment-related toxicities. TAILORx, a phase 3 randomized clinical trial, demonstrated that endocrine therapy alone was, on average, noninferior to chemoendocrine therapy for patients classified as intermediate risk by a 21-gene Recurrence Score (RS) assay. Uncertainty remains about the optimal strategy to identify which intermediate-RS individuals derive benefit from chemotherapy. METHODS We analyzed 6735 patients from the TAILORx trial using Ataraxis Breast CTX with pathology images (H&E slides) and RS available. CTX is an AI model which integrates morphologic features extracted from H&E-stained slides with clinical variables to generate individualized predictions of prognosis (CTX-prognostic) and chemotherapy benefit (CTX-benefit). No data from TAILORx were used to train CTX and CTX was not retrained or recalibrated for this study. Analyses were prespecified in a protocol approved by ECOG-ACRIN. RESULTS Among patients treated with endocrine therapy alone, CTX-prognostic predicted disease-free interval (DFI), with a hazard ratio per 1 SD increase of 1.651 (95% CI, 1.511-1.803, p < 0.001) and C-index of 0.736 (95% CI, 0.697-0.770). Performance was similar in patients treated with chemoendocrine therapy (hazard ratio = 1.642 [95% CI, 1.495-1.804, p < 0.001], C-index = 0.720 [95% CI, 0.681-0.756]). After adjusting for the RS, CTX-prognostic remained significantly associated with DFI in both treatment groups. In the intermediate-RS subgroup, the treatment-by-biomarker interaction for CTX-benefit was significant (p = 0.001), with patients identified as high-benefit deriving a 5% increase in observed 5-year DFI rates from the addition of chemotherapy, compared with no detectable benefit in low-benefit patients. Stratifying the same subgroup by RS at a threshold selecting a similar proportion of patients yielded no significant interaction (p = 0.20). CONCLUSIONS In an analysis of TAILORx, CTX-prognostic stratified patients according to their risk of recurrence. Among intermediate-RS patients, CTX-benefit identified who derived clinically meaningful benefit from adjuvant chemotherapy, a population currently not identifiable by the RS alone.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death 94%
- RNA Sequencing-Based Single Sample Predictors of Molecular Subtype and Risk of Recurrence for Clinical Assessment of Early-Stage Breast Cancer 94%
- An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy 94%
Similar papers in this journal
- Association between early discontinuation of endocrine therapy and recurrence of breast cancer among premenopausal women in a Danish population-based cohort 93%
- Clinical Validation of Digital PCR-based ctDNA detection for risk stratification in residual triple negative breast cancer: TRICIA trial results 93%
- Clinicogenomic characterization of inflammatory breast cancer 91%
Similar papers in this journal
- The impact of the COVID-19 pandemic on quality of life, physical and psychosocial wellbeing in breast cancer patients and survivors - A prospective, multicenter cohort study 93%
- Repurposing cardiovascular disease prediction models for cancer 90%
- Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences 89%
Similar papers in this journal
- The prognostic value of lymph node involvement after neoadjuvant chemotherapy is different among breast cancer subtypes 94%
- NDRG1 expression is an independent prognostic factor in inflammatory breast cancer 93%
- Impact of BRCA mutation status on tumor infiltrating lymphocytes (TILs), response to treatment, and prognosis in breast cancer patients treated with neoadjuvant chemotherapy. 93%
Similar papers in this journal
- Circulating tumor DNA in neoadjuvant treated breast cancer reflects response and survival 92%
- Collateral damage: the impact on cancer outcomes of the COVID-19pandemic 92%
- Reversion and non-reversion mechanisms of resistance to PARP inhibitor or platinum chemotherapy in BRCA1/2-mutant metastatic breast cancer 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.