Pub Date : 2026-03-04DOI: 10.1016/j.annonc.2026.02.018
Y Cheng, N Azouzi, A Laurent-Bellue, Z Guo, T Chung, Q Zeng, A Ghodsifard, T Albrecht, S Roessler, C Boulagnon-Rombi, M Vij, M Rela, R Akpinar, J Augustin, C Bazille, S Xu, S Kong, E Lechapt-Zalcman, C Tournigand, E Kempf, R Brustia, J-M Pawlotsky, C Braconi, S Caruso, M Ziol, B Goeppert, L Di Tommaso, Y N Park, J Calderaro
Background: Intrahepatic cholangiocarcinoma (ICCA) is a rare but highly lethal adenocarcinoma arising within the hepatic parenchyma. Diagnosis presents a significant clinical challenge as the histological features of ICCA substantially overlap with those of metastatic liver cancers. This diagnostic ambiguity often necessitates extensive and costly exclusionary investigations, such as upper and lower gastrointestinal endoscopy, to rule out an occult primary site. Consequently, this process results in treatment delays and an increased financial burden on healthcare systems.
Patients and methods: We retrospectively analyzed 544 patients across five European centers, comprising cases of either ICCA or metastases from extrahepatic cancers. Three deep-learning architectures utilizing foundation models were investigated: Ctranspath/HistoBistro, UNI/CLAM, and CONCH/TITAN. Performance was assessed using the Area Under the Receiver Operating Characteristic curve (AUROC) and the False Positive Rate (FPR). Furthermore, we implemented a confidence estimation system using the Generalized-ODIN (G-ODIN) approach, utilizing predictive entropy as a metric. The final model, designated AI2CCA, was prospectively validated in 161 patients across four international centers in France, India, and Korea.
Results: In the retrospective test set, the CONCH/TITAN architecture yielded the best performance (AUROC: 0.840). Predictive entropy derived via G-ODIN was significantly higher in misclassified cases, validating its utility as a confidence metric. Implementation of confidence thresholding improved the AUROC to 0.958 with an FPR of 0, while retaining 46% of samples for high-confidence prediction. In prospective validation, AI2CCA achieved AUROCs of 1.00 and 0.965 in the French and Asian cohorts, respectively (with only one misclassified case in the Asian series).
Conclusion: Collectively, our study demonstrates the real-world clinical utility of a confidence-based AI biomarker for assisting in the diagnosis of liver cancer. By accurately discriminating ICCA from metastasis, this tool offers the potential to reduce unnecessary investigations and accelerate therapeutic decision-making.
{"title":"A confidence-based, artificial intelligence pathology model for diagnosis of intrahepatic cholangiocarcinoma.","authors":"Y Cheng, N Azouzi, A Laurent-Bellue, Z Guo, T Chung, Q Zeng, A Ghodsifard, T Albrecht, S Roessler, C Boulagnon-Rombi, M Vij, M Rela, R Akpinar, J Augustin, C Bazille, S Xu, S Kong, E Lechapt-Zalcman, C Tournigand, E Kempf, R Brustia, J-M Pawlotsky, C Braconi, S Caruso, M Ziol, B Goeppert, L Di Tommaso, Y N Park, J Calderaro","doi":"10.1016/j.annonc.2026.02.018","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.02.018","url":null,"abstract":"<p><strong>Background: </strong>Intrahepatic cholangiocarcinoma (ICCA) is a rare but highly lethal adenocarcinoma arising within the hepatic parenchyma. Diagnosis presents a significant clinical challenge as the histological features of ICCA substantially overlap with those of metastatic liver cancers. This diagnostic ambiguity often necessitates extensive and costly exclusionary investigations, such as upper and lower gastrointestinal endoscopy, to rule out an occult primary site. Consequently, this process results in treatment delays and an increased financial burden on healthcare systems.</p><p><strong>Patients and methods: </strong>We retrospectively analyzed 544 patients across five European centers, comprising cases of either ICCA or metastases from extrahepatic cancers. Three deep-learning architectures utilizing foundation models were investigated: Ctranspath/HistoBistro, UNI/CLAM, and CONCH/TITAN. Performance was assessed using the Area Under the Receiver Operating Characteristic curve (AUROC) and the False Positive Rate (FPR). Furthermore, we implemented a confidence estimation system using the Generalized-ODIN (G-ODIN) approach, utilizing predictive entropy as a metric. The final model, designated AI2CCA, was prospectively validated in 161 patients across four international centers in France, India, and Korea.</p><p><strong>Results: </strong>In the retrospective test set, the CONCH/TITAN architecture yielded the best performance (AUROC: 0.840). Predictive entropy derived via G-ODIN was significantly higher in misclassified cases, validating its utility as a confidence metric. Implementation of confidence thresholding improved the AUROC to 0.958 with an FPR of 0, while retaining 46% of samples for high-confidence prediction. In prospective validation, AI2CCA achieved AUROCs of 1.00 and 0.965 in the French and Asian cohorts, respectively (with only one misclassified case in the Asian series).</p><p><strong>Conclusion: </strong>Collectively, our study demonstrates the real-world clinical utility of a confidence-based AI biomarker for assisting in the diagnosis of liver cancer. By accurately discriminating ICCA from metastasis, this tool offers the potential to reduce unnecessary investigations and accelerate therapeutic decision-making.</p>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147368773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-04DOI: 10.1016/j.annonc.2026.02.007
N Frost, M Reck
{"title":"Reply to Letter Re: PET/CT-Guided Management of Immune Checkpoint Blockade and Post-Treatment Multi-Modal Profiling in Long-Term Responders with Metastatic Lung Cancer in the National Network Genomic Medicine Lung Cancer Germany (nNGM).","authors":"N Frost, M Reck","doi":"10.1016/j.annonc.2026.02.007","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.02.007","url":null,"abstract":"","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147363600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-03DOI: 10.1016/j.annonc.2026.02.017
T K Choueiri, L Albigès, D F McDermott, H J Hammers, B Escudier, M Burotto, E R Plimack, C Porta, S George, T Powles, F Donskov, M B Atkins, H Gurney, C K Kollmannsberger, M-O Grimm, C Barrios, D Castellano, V Grünwald, Y Tomita, B I Rini, R Jiang, M van Kooten Losio, C-W Lee, N M Tannir, R J Motzer
Background: Nivolumab plus ipilimumab (NIVO+IPI) demonstrated significant long-term survival and response benefits in patients with previously untreated advanced renal cell carcinoma (aRCC) in the phase III CheckMate 214 trial (NCT02231749). We report final efficacy and safety results with 9.3 years median follow-up.
Patients and methods: Patients (N=1096) were randomized to NIVO 3 mg/kg plus IPI 1 mg/kg Q3W × four doses, followed by NIVO (3 mg/kg or 240 mg Q2W or 480 mg Q4W); or sunitinib (SUN) (50 mg) QD (4 weeks on, 2 weeks off).
Endpoints: overall survival (OS), and independent radiology review committee-assessed progression-free survival (PFS) and objective response rate (ORR) in IMDC intermediate/poor-risk (primary), intention-to-treat (secondary), and IMDC favorable-risk (exploratory) patients.
Results: With a median (range) follow-up of 9.3 (8.6-9.9) years, the hazard ratio (HR; 95% confidence interval [CI]) for OS with NIVO+IPI versus SUN was 0.71 (0.62-0.82) in intention-to-treat patients, 0.69 (0.59-0.81) in intermediate/poor-risk patients, and 0.80 (0.59-1.09) in favorable-risk patients; 108-month OS probabilities were 31.4% versus 19.5%, 30.2% versus 18.7%, and 35.3% versus 21.8%, respectively. PFS probabilities at 96 months were 22.7% versus 9.0% (intention-to-treat), 25.4% versus 8.5% (intermediate/poor-risk), and 12.5% versus 11.3% (favorable-risk). Probabilities of remaining in response at 96 months with NIVO+IPI versus SUN were 48.0% versus 19.0% (intention-to-treat), 50.0% versus 23.0% (intermediate/poor-risk), and 36.0% versus not estimable (favorable-risk). Incidence of any-grade (grade 3-4) treatment-related adverse events (AEs) was 94.1% (48.6%) with NIVO+IPI versus 97.6% (64.1%) with SUN. Exploratory post hoc analyses reported include descriptive analyses of OS by immune-mediated AE discontinuation status.
Conclusions: In the longest phase III follow-up of a first-line checkpoint inhibitor combination in aRCC (>9 years), NIVO+IPI maintained a substantial survival benefit with durable responses versus SUN. Grade 3-4 treatment-related AEs were lower with NIVO+IPI versus SUN at 9 years. NIVO+IPI remains a first-line standard of care in aRCC.
{"title":"Nivolumab plus ipilimumab versus sunitinib for first-line treatment of advanced renal cell carcinoma: final analysis of efficacy and safety from the phase III CheckMate 214 trial.","authors":"T K Choueiri, L Albigès, D F McDermott, H J Hammers, B Escudier, M Burotto, E R Plimack, C Porta, S George, T Powles, F Donskov, M B Atkins, H Gurney, C K Kollmannsberger, M-O Grimm, C Barrios, D Castellano, V Grünwald, Y Tomita, B I Rini, R Jiang, M van Kooten Losio, C-W Lee, N M Tannir, R J Motzer","doi":"10.1016/j.annonc.2026.02.017","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.02.017","url":null,"abstract":"<p><strong>Background: </strong>Nivolumab plus ipilimumab (NIVO+IPI) demonstrated significant long-term survival and response benefits in patients with previously untreated advanced renal cell carcinoma (aRCC) in the phase III CheckMate 214 trial (NCT02231749). We report final efficacy and safety results with 9.3 years median follow-up.</p><p><strong>Patients and methods: </strong>Patients (N=1096) were randomized to NIVO 3 mg/kg plus IPI 1 mg/kg Q3W × four doses, followed by NIVO (3 mg/kg or 240 mg Q2W or 480 mg Q4W); or sunitinib (SUN) (50 mg) QD (4 weeks on, 2 weeks off).</p><p><strong>Endpoints: </strong>overall survival (OS), and independent radiology review committee-assessed progression-free survival (PFS) and objective response rate (ORR) in IMDC intermediate/poor-risk (primary), intention-to-treat (secondary), and IMDC favorable-risk (exploratory) patients.</p><p><strong>Results: </strong>With a median (range) follow-up of 9.3 (8.6-9.9) years, the hazard ratio (HR; 95% confidence interval [CI]) for OS with NIVO+IPI versus SUN was 0.71 (0.62-0.82) in intention-to-treat patients, 0.69 (0.59-0.81) in intermediate/poor-risk patients, and 0.80 (0.59-1.09) in favorable-risk patients; 108-month OS probabilities were 31.4% versus 19.5%, 30.2% versus 18.7%, and 35.3% versus 21.8%, respectively. PFS probabilities at 96 months were 22.7% versus 9.0% (intention-to-treat), 25.4% versus 8.5% (intermediate/poor-risk), and 12.5% versus 11.3% (favorable-risk). Probabilities of remaining in response at 96 months with NIVO+IPI versus SUN were 48.0% versus 19.0% (intention-to-treat), 50.0% versus 23.0% (intermediate/poor-risk), and 36.0% versus not estimable (favorable-risk). Incidence of any-grade (grade 3-4) treatment-related adverse events (AEs) was 94.1% (48.6%) with NIVO+IPI versus 97.6% (64.1%) with SUN. Exploratory post hoc analyses reported include descriptive analyses of OS by immune-mediated AE discontinuation status.</p><p><strong>Conclusions: </strong>In the longest phase III follow-up of a first-line checkpoint inhibitor combination in aRCC (>9 years), NIVO+IPI maintained a substantial survival benefit with durable responses versus SUN. Grade 3-4 treatment-related AEs were lower with NIVO+IPI versus SUN at 9 years. NIVO+IPI remains a first-line standard of care in aRCC.</p>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147363674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-03DOI: 10.1016/j.annonc.2026.01.017
M Rouprêt
{"title":"Reply to Letter to the Editor: 'ALBAN (GETUG-AFU 37): a phase 3, randomized, open-label, international trial of intravenous atezolizumab and intravesical Bacillus Calmette-Guérin (BCG) versus BCG alone in BCG-naive high-risk, non-muscle invasive bladder cancer (NMIBC)' by R. Contieri et al.","authors":"M Rouprêt","doi":"10.1016/j.annonc.2026.01.017","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.01.017","url":null,"abstract":"","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-02DOI: 10.1016/j.annonc.2026.02.014
J W Riess, H A Yu, X Le, A Johannes de Langen, B Chul Cho, Z Piotrowska, L E L Hendriks, A Morabito, L Bonanno, O Terje Brustugun, T O Halvorsen, Y Jung Kim, K A Marrone, Y Shiraishi, J W Goldman, H Ambrose, P E Smith, P G FraenkeI, K Ho Tang, J M Lehman, S B Goldberg
Background: ORCHARD (NCT03944772) was a phase II platform study conducted to characterize resistance mechanisms and evaluate novel treatment combinations following progressive disease (PD) on first-line osimertinib. Datopotamab deruxtecan (Dato-DXd) is an anti-TROP2 antibody-drug conjugate approved as monotherapy in EGFR-mutated advanced non-small-cell lung cancer (NSCLC). We report final data from the osimertinib plus Dato-DXd module.
Methods: Eligible patients had EGFR-mutated advanced NSCLC and PD on first-line osimertinib. Patients received oral osimertinib (80 mg once daily) plus intravenous Dato-DXd (4 or 6 mg/kg every 3 weeks). The primary endpoint was investigator-assessed confirmed objective response rate (ORR) per RECIST v1.1. Secondary endpoints were progression-free survival (PFS), duration of response (DoR), overall survival (OS), and safety.
Results: Sixty-nine patients received study treatment. Among patients in the 4 mg/kg (N = 35) and 6 mg/kg (N = 34) cohorts, respectively: confirmed ORR was 43% (80% confidence interval [CI] 32-55) and 36% (80% CI 25-49); median PFS was 9.5 (95% CI 7.2-9.8) and 11.7 (95% CI 8.3-21.7) months; median DoR was 6.3 (95% CI 3.8-8.1) and 20.5 (95% CI 6.2-not calculable [NC]; estimated median of at least 16) months; median OS was 19.8 (95% CI 13.5-23.3) and 26.2 (95% CI 14.8-NC; estimated median greater than or equal to the 4 mg/kg cohort) months. In the 4 mg/kg and 6 mg/kg cohorts, respectively, grade ≥3 adverse events (AEs) were reported in 49% and 76% of patients; AEs leading to Dato-DXd dose reduction in 23% and 59%; and adjudicated interstitial lung disease/pneumonitis in 3% and 15%.
Conclusions: Osimertinib plus Dato-DXd demonstrated clinical benefit in patients with EGFR-mutated advanced NSCLC who progressed on first-line osimertinib. AEs in the 6 mg/kg cohort were of higher frequency and severity but could be managed with prophylaxis, careful monitoring and dose reduction. The safety profile was consistent with the known profiles of the individual drugs. Considering the overall benefit-risk profile, 6 mg/kg is suggested as the preferred Dato-DXd starting dose for combining with osimertinib 80 mg.
背景:ORCHARD (NCT03944772)是一项II期平台研究,旨在表征进展性疾病(PD)后一线奥西替尼的耐药机制并评估新的治疗组合。Datopotamab deruxtecan (Dato-DXd)是一种抗trop2抗体-药物偶联物,被批准用于egfr突变的晚期非小细胞肺癌(NSCLC)的单药治疗。我们报告奥西替尼加Dato-DXd模块的最终数据。方法:符合条件的egfr突变晚期NSCLC和PD患者使用一线奥西替尼。患者接受口服奥西替尼(80mg,每日一次)加静脉注射Dato-DXd(4或6mg /kg,每3周)。主要终点是研究者根据RECIST v1.1评估的确认客观缓解率(ORR)。次要终点是无进展生存期(PFS)、反应持续时间(DoR)、总生存期(OS)和安全性。结果:69例患者接受了研究治疗。在4 mg/kg组(N = 35)和6 mg/kg组(N = 34)患者中,确诊ORR分别为43%(80%可信区间[CI] 32-55)和36% (80% CI 25-49);中位PFS分别为9.5 (95% CI 7.2-9.8)和11.7 (95% CI 8.3-21.7)个月;中位DoR为6.3 (95% CI 3.8-8.1)和20.5 (95% CI 6.2),不可计算[NC];估计中位至少为16个月;中位OS为19.8个月(95% CI 13.5-23.3)和26.2个月(95% CI 14.8-NC;估计中位大于或等于4 mg/kg队列)。在4 mg/kg和6 mg/kg组中,分别有49%和76%的患者报告了≥3级不良事件(ae);ae导致Dato-DXd剂量减少23%和59%;确诊间质性肺病/肺炎分别为3%和15%。结论:奥西替尼联合Dato-DXd治疗egfr突变的晚期NSCLC患者在一线奥西替尼治疗进展时显示出临床益处。6mg /kg组的不良反应发生率和严重程度更高,但可以通过预防、仔细监测和减少剂量来控制。安全性与已知的单个药物的安全性一致。考虑到总体的获益-风险概况,建议6mg /kg作为Dato-DXd与80mg奥希替尼联合的首选起始剂量。
{"title":"Osimertinib plus datopotamab deruxtecan in patients with EGFR-mutated advanced NSCLC post-progression on first-line osimertinib: ORCHARD.","authors":"J W Riess, H A Yu, X Le, A Johannes de Langen, B Chul Cho, Z Piotrowska, L E L Hendriks, A Morabito, L Bonanno, O Terje Brustugun, T O Halvorsen, Y Jung Kim, K A Marrone, Y Shiraishi, J W Goldman, H Ambrose, P E Smith, P G FraenkeI, K Ho Tang, J M Lehman, S B Goldberg","doi":"10.1016/j.annonc.2026.02.014","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.02.014","url":null,"abstract":"<p><strong>Background: </strong>ORCHARD (NCT03944772) was a phase II platform study conducted to characterize resistance mechanisms and evaluate novel treatment combinations following progressive disease (PD) on first-line osimertinib. Datopotamab deruxtecan (Dato-DXd) is an anti-TROP2 antibody-drug conjugate approved as monotherapy in EGFR-mutated advanced non-small-cell lung cancer (NSCLC). We report final data from the osimertinib plus Dato-DXd module.</p><p><strong>Methods: </strong>Eligible patients had EGFR-mutated advanced NSCLC and PD on first-line osimertinib. Patients received oral osimertinib (80 mg once daily) plus intravenous Dato-DXd (4 or 6 mg/kg every 3 weeks). The primary endpoint was investigator-assessed confirmed objective response rate (ORR) per RECIST v1.1. Secondary endpoints were progression-free survival (PFS), duration of response (DoR), overall survival (OS), and safety.</p><p><strong>Results: </strong>Sixty-nine patients received study treatment. Among patients in the 4 mg/kg (N = 35) and 6 mg/kg (N = 34) cohorts, respectively: confirmed ORR was 43% (80% confidence interval [CI] 32-55) and 36% (80% CI 25-49); median PFS was 9.5 (95% CI 7.2-9.8) and 11.7 (95% CI 8.3-21.7) months; median DoR was 6.3 (95% CI 3.8-8.1) and 20.5 (95% CI 6.2-not calculable [NC]; estimated median of at least 16) months; median OS was 19.8 (95% CI 13.5-23.3) and 26.2 (95% CI 14.8-NC; estimated median greater than or equal to the 4 mg/kg cohort) months. In the 4 mg/kg and 6 mg/kg cohorts, respectively, grade ≥3 adverse events (AEs) were reported in 49% and 76% of patients; AEs leading to Dato-DXd dose reduction in 23% and 59%; and adjudicated interstitial lung disease/pneumonitis in 3% and 15%.</p><p><strong>Conclusions: </strong>Osimertinib plus Dato-DXd demonstrated clinical benefit in patients with EGFR-mutated advanced NSCLC who progressed on first-line osimertinib. AEs in the 6 mg/kg cohort were of higher frequency and severity but could be managed with prophylaxis, careful monitoring and dose reduction. The safety profile was consistent with the known profiles of the individual drugs. Considering the overall benefit-risk profile, 6 mg/kg is suggested as the preferred Dato-DXd starting dose for combining with osimertinib 80 mg.</p>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-02DOI: 10.1016/j.annonc.2026.02.015
G Curigliano, X Hu, R Dent, K Yonemori, C H Barrios, J-Y Pierga, F Puglisi, J-M Ferrero, K H Jung, N A Bagegni, J Collignon, M Gil-Gil, X Wu, A Andrzejuk-Ćwik, M Schwaederle, S Anand, A Bardia
Background: In DESTINY-Breast06, trastuzumab deruxtecan (T-DXd) improved progression-free survival (PFS) versus physician's choice of chemotherapy (TPC) for patients with hormone receptor-positive (HR+), HER2-low/-ultralow metastatic breast cancer (mBC), without new safety signals. We report additional analyses exploring outcomes for patients with characteristics that affect prognosis.
Patients and methods: Patients were randomized 1:1 to receive T-DXd (5.4 mg/kg) once every 3 weeks or TPC. Subgroups were specified post hoc from the intent-to-treat population (N = 866). Outcomes were PFS, objective response rate (ORR), and duration of response (DOR) by blinded independent central review via Response Evaluation Criteria in Solid Tumours 1.1. Time from randomization until second progression or death (PFS2) by investigator and safety were also assessed.
Results: Within subgroups, baseline disease characteristics and prior therapies were balanced across treatments. Median PFS (95% CI) favored T-DXd versus TPC regardless of time to progression (TTP) on prior first-line endocrine therapy (ET) + CDK4/6 inhibitor (CDK4/6i): <6 months: 14.0 (11.2-15.9) versus 6.5 (4.2-8.4) months for T-DXd versus TPC; 6-12 months: 13.2 (8.6-16.4) versus 6.9 (4.3-10.4) months; >12 months: 12.9 (9.8-17.1) versus 8.2 (6.9-10.9) months. A consistent PFS benefit with T-DXd over TPC was observed for patients with primary or secondary endocrine resistance, and across indicators of high or low disease burden (defined as visceral/non-visceral disease, presence/absence of liver metastases, ≥3/<3 disease sites, and >median/≤median baseline tumor size). In all subgroups, confirmed ORR favored T-DXd (36.7%-67.7%) versus TPC (16.7%-37.5%), and median DOR (confirmed response) was longer with T-DXd. T-DXd also prolonged PFS2 versus TPC across subgroups. Safety profiles of T-DXd and TPC in subgroups were consistent with the overall safety population.
Conclusions: These data support T-DXd as a broadly efficacious treatment for patients with HR+, HER2-low/-ultralow mBC after ≥1 ET, regardless of TTP on prior first-line ET + CDK4/6i, endocrine resistance, or disease burden.
{"title":"Trastuzumab deruxtecan in hormone receptor-positive, HER2-low/-ultralow metastatic breast cancer (DESTINY-Breast06): outcome analyses by time to progression on prior first-line endocrine therapy with CDK4/6 inhibitor and baseline burden of disease.","authors":"G Curigliano, X Hu, R Dent, K Yonemori, C H Barrios, J-Y Pierga, F Puglisi, J-M Ferrero, K H Jung, N A Bagegni, J Collignon, M Gil-Gil, X Wu, A Andrzejuk-Ćwik, M Schwaederle, S Anand, A Bardia","doi":"10.1016/j.annonc.2026.02.015","DOIUrl":"https://doi.org/10.1016/j.annonc.2026.02.015","url":null,"abstract":"<p><strong>Background: </strong>In DESTINY-Breast06, trastuzumab deruxtecan (T-DXd) improved progression-free survival (PFS) versus physician's choice of chemotherapy (TPC) for patients with hormone receptor-positive (HR+), HER2-low/-ultralow metastatic breast cancer (mBC), without new safety signals. We report additional analyses exploring outcomes for patients with characteristics that affect prognosis.</p><p><strong>Patients and methods: </strong>Patients were randomized 1:1 to receive T-DXd (5.4 mg/kg) once every 3 weeks or TPC. Subgroups were specified post hoc from the intent-to-treat population (N = 866). Outcomes were PFS, objective response rate (ORR), and duration of response (DOR) by blinded independent central review via Response Evaluation Criteria in Solid Tumours 1.1. Time from randomization until second progression or death (PFS2) by investigator and safety were also assessed.</p><p><strong>Results: </strong>Within subgroups, baseline disease characteristics and prior therapies were balanced across treatments. Median PFS (95% CI) favored T-DXd versus TPC regardless of time to progression (TTP) on prior first-line endocrine therapy (ET) + CDK4/6 inhibitor (CDK4/6i): <6 months: 14.0 (11.2-15.9) versus 6.5 (4.2-8.4) months for T-DXd versus TPC; 6-12 months: 13.2 (8.6-16.4) versus 6.9 (4.3-10.4) months; >12 months: 12.9 (9.8-17.1) versus 8.2 (6.9-10.9) months. A consistent PFS benefit with T-DXd over TPC was observed for patients with primary or secondary endocrine resistance, and across indicators of high or low disease burden (defined as visceral/non-visceral disease, presence/absence of liver metastases, ≥3/<3 disease sites, and >median/≤median baseline tumor size). In all subgroups, confirmed ORR favored T-DXd (36.7%-67.7%) versus TPC (16.7%-37.5%), and median DOR (confirmed response) was longer with T-DXd. T-DXd also prolonged PFS2 versus TPC across subgroups. Safety profiles of T-DXd and TPC in subgroups were consistent with the overall safety population.</p><p><strong>Conclusions: </strong>These data support T-DXd as a broadly efficacious treatment for patients with HR+, HER2-low/-ultralow mBC after ≥1 ET, regardless of TTP on prior first-line ET + CDK4/6i, endocrine resistance, or disease burden.</p>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":" ","pages":""},"PeriodicalIF":65.4,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-17DOI: 10.1016/j.annonc.2025.11.002
L. Cabel , F. Berger , T. Bachelot , B. Pistilli , F. Dalenc , T. de la Motte Rouge , R. Sabatier , A. Lortholary , S. Marques , J. Vibert , S. Renault , A.C. Hardy-Bessard , S. Delaloge , A. Pradines , C. Callens , F.C. Bidard
Background
PADA-1 was the first prospective randomized trial to show that early therapeutic targeting of blood ESR1 mutations (bESR1-mut) with fulvestrant provides significant clinical benefit in patients with estrogen receptor α-positive/human epidermal growth factor receptor 2-negative advanced breast cancer treated with an aromatase inhibitor and palbociclib. Here, we describe the kinetics and determinants of bESR1-mut in the 1017 patients who participated in PADA-1.
Patients and methods
PADA-1 was an open-label, randomized, controlled, phase III trial conducted at 83 hospitals in France. Patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer were recruited and monitored by multiplex droplet digital PCR for rising bESR1-mut during first-line treatment with aromatase inhibitor and palbociclib, after one cycle and then every two cycles. Patients with newly present or increased bESR1-mut in circulating tumor DNA and no synchronous disease progression were randomly assigned to continue with the same therapy or to switch to fulvestrant and palbociclib.
Results
Baseline bESR1-mut was detected in 3.2% of patients. Prior adjuvant treatment with aromatase inhibitor (6.8%) and lower body mass index were independently associated with a higher detection rate of bESR1-mut at baseline. Through real-time analysis of >12 500 blood samples, we observed that detection of rising bESR1-mut was not linear over time, occurring more frequently after 6 months and before 3 years of treatment. We found that high estrogen receptor expression, the presence of bone metastases, younger age, and lactate dehydrogenase elevation were associated with a higher rate of rising bESR1-mut detection. Finally, updated survival results of PADA-1 substantiate the clinical benefit of intercepting bESR1-mut emergence before clinical progression, with improved progression-free survival (PFS), hazard ratio 0.54, 95% confidence interval 0.38-0.75, and progression-free survival 2, hazard ratio 0.35, 95% confidence interval 0.22-0.54.
Conclusion
We identified factors associated with the detection of bESR1-mut at baseline and during treatment that could help identify patients who may benefit from ESR1-targeted therapies.
{"title":"Kinetics and determinants of ESR1 mutation detection in metastatic breast cancer","authors":"L. Cabel , F. Berger , T. Bachelot , B. Pistilli , F. Dalenc , T. de la Motte Rouge , R. Sabatier , A. Lortholary , S. Marques , J. Vibert , S. Renault , A.C. Hardy-Bessard , S. Delaloge , A. Pradines , C. Callens , F.C. Bidard","doi":"10.1016/j.annonc.2025.11.002","DOIUrl":"10.1016/j.annonc.2025.11.002","url":null,"abstract":"<div><h3>Background</h3><div>PADA-1 was the first prospective randomized trial to show that early therapeutic targeting of blood <em>ESR1</em> mutations (b<em>ESR1</em>-mut) with fulvestrant provides significant clinical benefit in patients with estrogen receptor α-positive/human epidermal growth factor receptor 2-negative advanced breast cancer treated with an aromatase inhibitor and palbociclib. Here, we describe the kinetics and determinants of b<em>ESR1</em>-mut in the 1017 patients who participated in PADA-1.</div></div><div><h3>Patients and methods</h3><div>PADA-1 was an open-label, randomized, controlled, phase III trial conducted at 83 hospitals in France. Patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer were recruited and monitored by multiplex droplet digital PCR for rising b<em>ESR1</em>-mut during first-line treatment with aromatase inhibitor and palbociclib, after one cycle and then every two cycles. Patients with newly present or increased b<em>ESR1</em>-mut in circulating tumor DNA and no synchronous disease progression were randomly assigned to continue with the same therapy or to switch to fulvestrant and palbociclib.</div></div><div><h3>Results</h3><div>Baseline b<em>ESR1</em>-mut was detected in 3.2% of patients. Prior adjuvant treatment with aromatase inhibitor (6.8%) and lower body mass index were independently associated with a higher detection rate of b<em>ESR1</em>-mut at baseline. Through real-time analysis of >12 500 blood samples, we observed that detection of rising b<em>ESR1</em>-mut was not linear over time, occurring more frequently after 6 months and before 3 years of treatment. We found that high estrogen receptor expression, the presence of bone metastases, younger age, and lactate dehydrogenase elevation were associated with a higher rate of rising b<em>ESR1</em>-mut detection. Finally, updated survival results of PADA-1 substantiate the clinical benefit of intercepting b<em>ESR1</em>-mut emergence before clinical progression, with improved progression-free survival (PFS), hazard ratio 0.54, 95% confidence interval 0.38-0.75, and progression-free survival 2, hazard ratio 0.35, 95% confidence interval 0.22-0.54.</div></div><div><h3>Conclusion</h3><div>We identified factors associated with the detection of b<em>ESR1</em>-mut at baseline and during treatment that could help identify patients who may benefit from <em>ESR1</em>-targeted therapies.</div></div>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":"37 3","pages":"Pages 329-340"},"PeriodicalIF":65.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145556088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-18DOI: 10.1016/j.annonc.2025.11.009
M. Aldea , M. Salto-Tellez , A. Marra , R. Umeton , A. Stenzinger , M. Koopman , A. Prelaj , K.L. Kehl , S. Gilbert , M.-E. Leßmann , J. Lipkova , L. Provenzano , F. Meric-Bernstam , S. Halabi , J. Wu , A. Pellat , K.P.M. Suijkerbuijk , B. Besse , B. Ryll , C. Marchió , J.N. Kather
Background
Artificial intelligence (AI) is expected to introduce an increasing number of biomarkers in oncology. To bridge the gap between oncology and computer science, it is timely to define recommendations for AI-based biomarkers suitable for routine clinical use. Here, we propose the ESMO (European Society for Medical Oncology) Basic Requirements for AI-based Biomarkers In Oncology (EBAI).
Design
The EBAI framework was developed using a modified Delphi methodology, involving a multidisciplinary panel of 37 experts who participated in four structured consensus rounds.
Results
AI-based biomarkers were classified as ‘class A’ (AI quantification of established biomarkers), ‘class B’ (indirect measure of known biomarkers using AI-based alternative methods, to be deployed as pre-screening tests), and ‘class C’ (novel AI-derived biomarkers, with C1 for prognosis and C2 for prediction of treatment effect). The EBAI framework addresses AI biomarkers for clinical use. Ground truth, performance, and generalisability were considered essential; fairness was recommended. Minimal validation requirements indicate that class A requires concordance studies, class B analytical validation, class C1 high-quality retrospective real-world or clinical trial data, and class C2 additionally requires clinical validation in prospective clinical trials for the prediction of response to a new treatment. All biomarker studies should report multiple evaluation and calibration metrics, with a clearly defined primary objective. Generalisability should be demonstrated across all intended use settings, including variability in data acquisition, post-processing, and population characteristics. Biomarkers must not be applied to other cancer types or modalities without supporting evidence.
Conclusions
EBAI defines criteria for AI-based biomarker adoption in routine use, providing a common language for physicians, AI developers, and researchers.
{"title":"ESMO basic requirements for AI-based biomarkers in oncology (EBAI)","authors":"M. Aldea , M. Salto-Tellez , A. Marra , R. Umeton , A. Stenzinger , M. Koopman , A. Prelaj , K.L. Kehl , S. Gilbert , M.-E. Leßmann , J. Lipkova , L. Provenzano , F. Meric-Bernstam , S. Halabi , J. Wu , A. Pellat , K.P.M. Suijkerbuijk , B. Besse , B. Ryll , C. Marchió , J.N. Kather","doi":"10.1016/j.annonc.2025.11.009","DOIUrl":"10.1016/j.annonc.2025.11.009","url":null,"abstract":"<div><h3>Background</h3><div>Artificial intelligence (AI) is expected to introduce an increasing number of biomarkers in oncology. To bridge the gap between oncology and computer science, it is timely to define recommendations for AI-based biomarkers suitable for routine clinical use. Here, we propose the <strong>E</strong>SMO (European Society for Medical Oncology) <strong>B</strong>asic Requirements for <strong>AI</strong>-based Biomarkers In Oncology (EBAI).</div></div><div><h3>Design</h3><div>The EBAI framework was developed using a modified Delphi methodology, involving a multidisciplinary panel of 37 experts who participated in four structured consensus rounds.</div></div><div><h3>Results</h3><div>AI-based biomarkers were classified as ‘class A’ (AI quantification of established biomarkers), ‘class B’ (indirect measure of known biomarkers using AI-based alternative methods, to be deployed as pre-screening tests), and ‘class C’ (novel AI-derived biomarkers, with C1 for prognosis and C2 for prediction of treatment effect). The EBAI framework addresses AI biomarkers for clinical use. Ground truth, performance, and generalisability were considered essential; fairness was recommended. Minimal validation requirements indicate that class A requires concordance studies, class B analytical validation, class C1 high-quality retrospective real-world or clinical trial data, and class C2 additionally requires clinical validation in prospective clinical trials for the prediction of response to a new treatment. All biomarker studies should report multiple evaluation and calibration metrics, with a clearly defined primary objective. Generalisability should be demonstrated across all intended use settings, including variability in data acquisition, post-processing, and population characteristics. Biomarkers must not be applied to other cancer types or modalities without supporting evidence.</div></div><div><h3>Conclusions</h3><div>EBAI defines criteria for AI-based biomarker adoption in routine use, providing a common language for physicians, AI developers, and researchers.</div></div>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":"37 3","pages":"Pages 414-430"},"PeriodicalIF":65.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145556172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-05DOI: 10.1016/j.annonc.2025.10.1239
B.P. Keenan , M. Yadav , G. Ansstas , D. Fabrizio , K. Murugesan , M. Montesion , D. Guha Niyogi , I. Mellman , I. Melero
The impressive but incomplete clinical success of immunotherapy with immune checkpoint inhibitors makes it of paramount importance to understand and overcome immunotherapy resistance. The phenomenon of resistance to immunotherapy has been largely categorized as innate or acquired; however, many cellular and molecular mechanisms of resistance are remarkably common to both. This notion raises the possibility that resistance mechanisms develop during the coevolution of the tumor and the immune response, reflecting the multiple interactions between malignant cells and cells of the tumor immune microenvironment. This tumor-editing interaction selects for often preexisting adapted genetic or epigenetic variants, and results in intratumoral heterogeneity (ITH) within tumors and among metastatic lesions. Variants encompass both tumor-intrinsic genetically driven (‘hardware’) and tumor-extrinsic (‘software’) resistance mechanisms that dynamically coevolve under strong immune selection pressures in a Darwinian fashion. The level of ITH, which is shaped by the evolution of tumors in their immune microenvironment, may dictate the ability of tumors to adapt and evade attacks by the immune system. Standardized methods and metrics for measuring and addressing ITH and making use of this information in human cancer management remain limited, partly due to the lack of suitable models, technologies, and bioinformatic tools. Opportunities exist to design therapeutic approaches to overcome immunotherapy resistance, with an emphasis on interventions targeting intrinsic versus extrinsic resistance mechanisms in the context of ITH. These therapeutic approaches can be tailored according to the nature of the specific ongoing or predicted resistance mechanisms, as observed on a per-case basis, and may include a range of options, such as biomarker-driven rational immunotherapy combinations, novel immunoregulatory targets, and the suitable incorporation of cell-based adoptive therapies. In this review, we discuss the evidence for ITH driving immunotherapy resistance and provide a perspective on integrating ITH as a biomarker and when designing more efficacious therapeutic strategies.
{"title":"Intratumoral heterogeneity and immunotherapy resistance: clinical implications","authors":"B.P. Keenan , M. Yadav , G. Ansstas , D. Fabrizio , K. Murugesan , M. Montesion , D. Guha Niyogi , I. Mellman , I. Melero","doi":"10.1016/j.annonc.2025.10.1239","DOIUrl":"10.1016/j.annonc.2025.10.1239","url":null,"abstract":"<div><div>The impressive but incomplete clinical success of immunotherapy with immune checkpoint inhibitors makes it of paramount importance to understand and overcome immunotherapy resistance. The phenomenon of resistance to immunotherapy has been largely categorized as innate or acquired; however, many cellular and molecular mechanisms of resistance are remarkably common to both. This notion raises the possibility that resistance mechanisms develop during the coevolution of the tumor and the immune response, reflecting the multiple interactions between malignant cells and cells of the tumor immune microenvironment. This tumor-editing interaction selects for often preexisting adapted genetic or epigenetic variants, and results in intratumoral heterogeneity (ITH) within tumors and among metastatic lesions. Variants encompass both tumor-intrinsic genetically driven (‘hardware’) and tumor-extrinsic (‘software’) resistance mechanisms that dynamically coevolve under strong immune selection pressures in a Darwinian fashion. The level of ITH, which is shaped by the evolution of tumors in their immune microenvironment, may dictate the ability of tumors to adapt and evade attacks by the immune system. Standardized methods and metrics for measuring and addressing ITH and making use of this information in human cancer management remain limited, partly due to the lack of suitable models, technologies, and bioinformatic tools. Opportunities exist to design therapeutic approaches to overcome immunotherapy resistance, with an emphasis on interventions targeting intrinsic versus extrinsic resistance mechanisms in the context of ITH. These therapeutic approaches can be tailored according to the nature of the specific ongoing or predicted resistance mechanisms, as observed on a per-case basis, and may include a range of options, such as biomarker-driven rational immunotherapy combinations, novel immunoregulatory targets, and the suitable incorporation of cell-based adoptive therapies. In this review, we discuss the evidence for ITH driving immunotherapy resistance and provide a perspective on integrating ITH as a biomarker and when designing more efficacious therapeutic strategies.</div></div>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":"37 3","pages":"Pages 314-328"},"PeriodicalIF":65.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145470447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-13DOI: 10.1016/j.annonc.2026.01.002
E.G.E. de Vries , E. Garralda , S. Litière
{"title":"From algorithms to meaningful biomarkers: anchoring AI in clinical oncology","authors":"E.G.E. de Vries , E. Garralda , S. Litière","doi":"10.1016/j.annonc.2026.01.002","DOIUrl":"10.1016/j.annonc.2026.01.002","url":null,"abstract":"","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":"37 3","pages":"Pages 286-288"},"PeriodicalIF":65.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145987805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}