首页 > 最新文献

Annals of Oncology最新文献

英文 中文
A confidence-based, artificial intelligence pathology model for diagnosis of intrahepatic cholangiocarcinoma. 基于置信度的人工智能肝内胆管癌病理诊断模型。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-04 DOI: 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.

背景:肝内胆管癌(ICCA)是一种发生在肝实质内的罕见但高致死率的腺癌。诊断是一项重大的临床挑战,因为ICCA的组织学特征与转移性肝癌有很大的重叠。这种诊断的模糊性往往需要广泛和昂贵的排除性检查,如上消化道和下消化道内窥镜检查,以排除隐匿的原发部位。因此,这一过程导致治疗延误,并增加了医疗保健系统的经济负担。患者和方法:我们回顾性分析了来自欧洲5个中心的544例患者,包括ICCA或肝外癌转移病例。研究了基于基础模型的三种深度学习架构:Ctranspath/HistoBistro、UNI/CLAM和CONCH/TITAN。使用受试者工作特征曲线下面积(AUROC)和假阳性率(FPR)评估疗效。此外,我们利用预测熵作为度量,使用广义odin (G-ODIN)方法实现了置信度估计系统。最终的模型被命名为AI2CCA,在法国、印度和韩国四个国际中心的161名患者中进行了前瞻性验证。结果:在回顾性测试集中,CONCH/TITAN架构的性能最好(AUROC: 0.840)。在错误分类的情况下,通过G-ODIN获得的预测熵显着更高,验证了其作为置信度度量的效用。置信阈值的实现将AUROC提高到0.958,FPR为0,同时保留了46%的样本进行高置信度预测。在前瞻性验证中,AI2CCA在法国和亚洲队列中的auroc分别为1.00和0.965(亚洲队列中只有1例分类错误)。结论:总的来说,我们的研究证明了基于置信度的人工智能生物标志物在帮助肝癌诊断方面的实际临床应用。通过准确区分ICCA和转移,该工具提供了减少不必要的调查和加速治疗决策的潜力。
{"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}
引用次数: 0
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). 德国国家基因组医学网络肺癌(nNGM)中PET/ ct引导的免疫检查点阻断管理和治疗后多模式分析转移性肺癌长期应答者。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-04 DOI: 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}
引用次数: 0
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. Nivolumab联合ipilimumab对抗舒尼替尼一线治疗晚期肾细胞癌:来自CheckMate 214 III期试验的有效性和安全性的最终分析
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-03 DOI: 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.

背景:在CheckMate 214 III期试验(NCT02231749)中,Nivolumab + ipilimumab (NIVO+IPI)在先前未经治疗的晚期肾细胞癌(aRCC)患者中显示出显着的长期生存和应答益处。我们报告了中位随访9.3年的最终疗效和安全性结果。患者和方法:患者(N=1096)随机接受NIVO 3mg /kg + IPI 1mg /kg Q3W × 4个剂量,其次是NIVO (3mg /kg或240 mg Q2W或480 mg Q4W);或舒尼替尼(SUN) (50mg) QD(服用4周,停用2周)。终点:IMDC中/低风险(原发性)、意向治疗(继发性)和有利风险(探索性)患者的总生存期(OS)和独立放射学审查委员会评估的无进展生存期(PFS)和客观缓解率(ORR)。结果:中位(范围)随访时间为9.3(8.6-9.9)年,NIVO+IPI OS与SUN的风险比(HR; 95%可信区间[CI])在意向治疗患者中为0.71(0.62-0.82),在中/低风险患者中为0.69(0.59-0.81),在有利风险患者中为0.80 (0.59-1.09);108个月OS概率分别为31.4%对19.5%,30.2%对18.7%,35.3%对21.8%。96个月时PFS概率分别为22.7%对9.0%(意向治疗),25.4%对8.5%(中/低风险),12.5%对11.3%(有利风险)。NIVO+IPI与SUN在96个月时保持缓解的概率分别为48.0%对19.0%(意向治疗),50.0%对23.0%(中/低风险),36.0%对不可估计(有利风险)。NIVO+IPI组任何级别(3-4级)治疗相关不良事件(ae)的发生率为94.1%(48.6%),而SUN组为97.6%(64.1%)。探索性事后分析报告包括免疫介导的AE停止状态对OS的描述性分析。结论:在一线检查点抑制剂联合治疗aRCC的最长III期随访中(bbbb9年),NIVO+IPI与SUN相比,具有持久的生存获益。9年时,NIVO+IPI组与SUN组相比,3-4级治疗相关ae较低。NIVO+IPI仍然是aRCC的一线治疗标准。
{"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}
引用次数: 0
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. 给编辑的回复:“ALBAN (GETUG-AFU 37):一项3期、随机、开放标签的国际试验,研究了静脉注射阿特唑单抗和膀胱注射卡介苗(BCG)与单独使用卡介苗治疗原发性高危、非肌肉浸润性膀胱癌(NMIBC)”,作者为R. Contieri等人。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-03 DOI: 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}
引用次数: 0
Osimertinib plus datopotamab deruxtecan in patients with EGFR-mutated advanced NSCLC post-progression on first-line osimertinib: ORCHARD. 奥西替尼联合datopotamab deruxtecan治疗egfr突变的晚期NSCLC进展后一线奥西替尼:ORCHARD。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-02 DOI: 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}
引用次数: 0
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. 曲妥珠单抗德鲁西替康治疗激素受体阳性、her2低/超低转移性乳腺癌(DESTINY-Breast06):既往CDK4/6抑制剂一线内分泌治疗进展时间和基线疾病负担的结局分析。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-02 DOI: 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.

背景:在DESTINY-Breast06中,曲妥珠单抗德鲁西替康(T-DXd)改善了激素受体阳性(HR+)、her2低/-超低转移性乳腺癌(mBC)患者的无进展生存期(PFS),而不是医生选择的化疗(TPC),没有新的安全性信号。我们报告了对具有影响预后特征的患者结果的进一步分析。患者和方法:患者按1:1随机分为每3周1次T-DXd (5.4 mg/kg)或TPC。从意向治疗人群中指定亚组(N = 866)。通过实体肿瘤反应评价标准1.1进行盲法独立中心评价,结果为PFS、客观缓解率(ORR)和反应持续时间(DOR)。研究人员还评估了从随机分配到第二次进展或死亡(PFS2)的时间和安全性。结果:在亚组内,基线疾病特征和既往治疗在治疗中是平衡的。无论先前一线内分泌治疗(ET) + CDK4/6抑制剂(CDK4/6i)的进展时间(TTP)如何,中位PFS (95% CI)倾向于T-DXd和TPC: 12个月:12.9(9.8-17.1)对8.2(6.9-10.9)个月。对于原发性或继发性内分泌抵抗患者,以及高或低疾病负担指标(定义为内脏/非内脏疾病,是否存在肝转移,≥3/中位/≤中位基线肿瘤大小),观察到T-DXd比TPC具有一致的PFS益处。在所有亚组中,确诊的ORR倾向于T-DXd(36.7%-67.7%)而不是TPC(16.7%-37.5%),并且T-DXd的中位DOR(确诊反应)更长。与TPC相比,T-DXd也延长了各亚组的PFS2。T-DXd和TPC在亚组中的安全性与总体安全人群一致。结论:这些数据支持T-DXd对于≥1 ET后的HR+、her2低/-超低mBC患者是一种广泛有效的治疗方法,与先前一线ET + CDK4/6i的TTP、内分泌抵抗或疾病负担无关。
{"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}
引用次数: 0
Kinetics and determinants of ESR1 mutation detection in metastatic breast cancer 转移性乳腺癌ESR1突变检测的动力学和决定因素。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-01 Epub Date: 2025-11-17 DOI: 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.
背景:PADA-1是首个前瞻性随机试验,该试验显示,在使用芳香酶抑制剂和帕博西尼治疗ER+/HER2-晚期乳腺癌(ABC)的患者中,氟维司汀早期靶向治疗bESR1mut突变提供了显著的临床益处。在这里,我们描述了1017名参加PADA-1的患者的动力学和bESR1mut突变的决定因素。患者和方法:PADA-1是一项开放标签、随机、对照的3期试验,在法国83家医院进行。招募HR+/HER2- ABC患者,在芳香酶抑制剂+帕博西尼一线治疗期间,采用多重微滴数字PCR监测bESR1mut升高,1个周期后,每2个周期监测一次。循环肿瘤DNA中新出现或增加的bESR1mut且无同步疾病进展的患者被随机分配继续使用相同的治疗或切换到氟维司汀和帕博西尼。结果:3.2%的患者检测到基线bESR1mut。先前的芳香酶抑制剂辅助治疗(6.8%)和较低的体重指数与基线时较高的bESR1mut检出率独立相关。通过对超过12500份血液样本的实时分析,我们观察到,检测到的bESR1mut升高并不是随时间线性上升的,在治疗6个月后和治疗3年前更频繁。我们发现高雌激素受体表达、骨转移、年轻和LDH升高与较高的bESR1mut检出率升高相关。最后,更新的pda -1生存结果证实了在临床进展之前拦截bESR1mut出现的临床益处,改善了无进展生存期(PFS), HR=0.54 [0.38;0.75], PFS2, HR=0.35[0.22;0.54])。结论:我们确定了与基线和治疗期间检测bESR1mut突变相关的因素,可以帮助确定可能从esr1靶向治疗中获益的患者。
{"title":"Kinetics and determinants of ESR1 mutation detection in metastatic breast cancer","authors":"L. Cabel ,&nbsp;F. Berger ,&nbsp;T. Bachelot ,&nbsp;B. Pistilli ,&nbsp;F. Dalenc ,&nbsp;T. de la Motte Rouge ,&nbsp;R. Sabatier ,&nbsp;A. Lortholary ,&nbsp;S. Marques ,&nbsp;J. Vibert ,&nbsp;S. Renault ,&nbsp;A.C. Hardy-Bessard ,&nbsp;S. Delaloge ,&nbsp;A. Pradines ,&nbsp;C. Callens ,&nbsp;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 &gt;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}
引用次数: 0
ESMO basic requirements for AI-based biomarkers in oncology (EBAI) ESMO基于人工智能的肿瘤生物标志物基本要求(EBAI)。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-01 Epub Date: 2025-11-18 DOI: 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.
背景:人工智能(AI)有望在肿瘤学领域引入越来越多的生物标志物。为了弥合肿瘤学和计算机科学之间的差距,及时确定适合常规临床使用的基于人工智能的生物标志物的建议。在此,我们提出了ESMO基于ai的生物标志物在肿瘤学(EBAI)的基本要求。方法:采用改进的德尔菲方法开发EBAI框架,涉及一个由37名专家组成的多学科小组,他们参加了三个结构化的共识轮。结果:基于人工智能的生物标志物被分类为A类(已建立的生物标志物的人工智能量化),B类(使用基于人工智能的替代方法间接测量已知生物标志物,将作为预筛选测试)和C类(新型人工智能衍生的生物标志物,C1用于预后,C2用于预测治疗效果)。EBAI框架涉及临床使用的人工智能生物标志物。基本真理、性能和普遍性被认为是必不可少的;建议公平。最低验证要求表明,A类需要一致性研究,B类需要分析验证,C1类需要高质量的回顾性真实世界或临床试验数据,C2类还需要在前瞻性临床试验中进行临床验证,以预测对新治疗的反应。所有生物标志物研究都应报告多个评估和校准指标,并明确定义主要目标。应在所有预期使用环境中证明通用性,包括数据采集、后处理和人口特征的可变性。在没有证据支持的情况下,生物标志物不得应用于其他癌症类型或模式。结论:EBAI定义了在常规应用中采用基于人工智能的生物标志物的标准,为医生、人工智能开发人员和研究人员提供了一种共同的语言。
{"title":"ESMO basic requirements for AI-based biomarkers in oncology (EBAI)","authors":"M. Aldea ,&nbsp;M. Salto-Tellez ,&nbsp;A. Marra ,&nbsp;R. Umeton ,&nbsp;A. Stenzinger ,&nbsp;M. Koopman ,&nbsp;A. Prelaj ,&nbsp;K.L. Kehl ,&nbsp;S. Gilbert ,&nbsp;M.-E. Leßmann ,&nbsp;J. Lipkova ,&nbsp;L. Provenzano ,&nbsp;F. Meric-Bernstam ,&nbsp;S. Halabi ,&nbsp;J. Wu ,&nbsp;A. Pellat ,&nbsp;K.P.M. Suijkerbuijk ,&nbsp;B. Besse ,&nbsp;B. Ryll ,&nbsp;C. Marchió ,&nbsp;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}
引用次数: 0
Intratumoral heterogeneity and immunotherapy resistance: clinical implications 肿瘤内异质性和免疫治疗耐药性:临床意义。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-01 Epub Date: 2025-11-05 DOI: 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.
免疫检查点抑制剂免疫治疗令人印象深刻但不完整的临床成功使得理解和克服免疫治疗耐药性至关重要。对免疫治疗的耐药现象主要分为先天或获得性;然而,许多细胞和分子的耐药机制是非常共同的。这一观点提出了耐药性机制在肿瘤和免疫反应的共同进化过程中发展的可能性,反映了恶性细胞和肿瘤免疫微环境细胞之间的多重相互作用。这种肿瘤编辑相互作用选择通常预先存在的适应性遗传或表观遗传变异,并导致肿瘤内和转移性病变的肿瘤内异质性(ITH)。变异包括肿瘤内在的遗传驱动(“硬件”)和肿瘤外在的(“软件”)抵抗机制,它们以达尔文的方式在强大的免疫选择压力下动态地共同进化。肿瘤在其免疫微环境中的进化决定了ITH的水平,可能决定了肿瘤适应和逃避免疫系统攻击的能力。测量和处理ITH以及在人类癌症管理中利用这些信息的标准化方法和指标仍然有限,部分原因是缺乏合适的模型、技术和生物信息学工具。有机会设计治疗方法来克服免疫治疗耐药,重点是针对ITH背景下的内在和外在耐药机制的干预措施。这些治疗方法可以根据具体正在进行或预测的耐药机制的性质进行定制,根据每个病例的情况进行观察,并可能包括一系列选择,例如生物标志物驱动的合理免疫治疗组合,新的免疫调节靶点,以及适当结合基于细胞的过继疗法。在这篇综述中,我们讨论了ITH驱动免疫治疗耐药的证据,并提供了将ITH作为生物标志物和设计更有效治疗策略时的观点。
{"title":"Intratumoral heterogeneity and immunotherapy resistance: clinical implications","authors":"B.P. Keenan ,&nbsp;M. Yadav ,&nbsp;G. Ansstas ,&nbsp;D. Fabrizio ,&nbsp;K. Murugesan ,&nbsp;M. Montesion ,&nbsp;D. Guha Niyogi ,&nbsp;I. Mellman ,&nbsp;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}
引用次数: 0
From algorithms to meaningful biomarkers: anchoring AI in clinical oncology 从算法到有意义的生物标志物:将人工智能锚定在临床肿瘤学中。
IF 65.4 1区 医学 Q1 ONCOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 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 ,&nbsp;E. Garralda ,&nbsp;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}
引用次数: 0
期刊
Annals of Oncology
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1