Pub Date : 2026-02-12DOI: 10.1016/j.jtho.2026.103610
Alessandro Di Federico, Lingzhi Hong, Arielle Elkrief, Rohit Thummalapalli, Alissa J Cooper, Biagio Ricciuti, Subba Digumarthy, Joao V Alessi, Pooja Gogia, Grace M Hambelton, Federica Pecci, Maisam Makarem, Malini M Gandhi, Edoardo Garbo, Andrea De Giglio, Ambrogio Gagliano, Francesca Sperandi, Francesco Gelsomino, Stefano Scalera, Laura Cipriani, Daniele Marinelli, Giuseppe Lamberti, Narek Shaverdian, Jessica Haradon, Tom Nguyen, Emma Voligny, Marc Ladanyi, Jianjun Zhang, Don L Gibbons, John V Heymach, Mizuki Nishino, Scott J Rodig, Kathleen Pfaff, Xinan Wang, Natasha Rekhtman, Lynette M Sholl, Jia Luo, Bruce E Johnson, Pasi A Janne, Ravi Arvind, Justin F Gainor, Marcello Maugeri-Saccà, Andrea Ardizzoni, Rebecca S Heist, Kathryn C Arbour, Adam J Schoenfeld, Natalie I Vokes, Mark M Awad
Introduction: Thyroid transcription factor-1 (TTF-1) expression, routinely assessed through immunohistochemistry in the diagnostic evaluation of lung adenocarcinomas (LUADs), is negative (TTF-1Neg) in approximately 15% to 20% of cases. Although worse outcomes have been reported for these tumors compared with TTF-1-positive (TTF-1Pos) LUAD, a comprehensive characterization of TTF-1 negativity is currently lacking.
Methods: Patients with LUAD and available TTF-1 immunohistochemistry from five institutions, The Cancer Genome Atlas, the Stand Up To Cancer-Mark Foundation, and the POPLAR/OAK data sets, were included. Features and outcomes were analyzed according to TTF-1 expression.
Results: Among 3297 patients, TTF-1Neg (15%, n = 496), compared with TTF-1Pos (85%, n = 2801), was associated with a more frequent tobacco use history and lower PD-L1 expression. TTF-1Neg LUAD was enriched for STK11, KEAP1, SMARCA4, NKX2-1, CDKN2A, and KRAS mutations (q < 0.05). Patients with metastatic TTF-1Neg LUAD treated with immune checkpoint inhibitors (n = 233), compared with TTF-1Pos cases (n = 1179), had worse objective response rates (ORR, 17% versus 28%, p = 0.001), median progression-free survival (mPFS, 2.5 versus 4.4 mo, p < 0.0001), and median overall survival (mOS, 9.6 versus 20.2 mo, p < 0.0001). Similarly, TTF-1Neg cases had worse outcomes to chemoimmunotherapy (ORR, 26% versus 41%, p < 0.0001; mPFS, 4.6 versus 8.2 mo, p < 0.0001; mOS, 11.2 versus 23.4 mo, p < 0.0001), durvalumab after chemoradiation for unresectable stage III disease (mPFS, 8.0 versus 24.8 mo, p = 0.016; mOS, 20.0 mo versus not reached, p = 0.004), and KRASG12C inhibitors in KRASG12C-mutant LUAD (ORR, 13% versus 36%, p = 0.03; mPFS, 2.7 versus 5.9 mo, p < 0.0001; mOS, 4.4 versus 12.1 mo, p < 0.0001).
Conclusions: TTF-1 negativity identifies a subset of LUAD with worse outcomes to immunotherapy, chemoimmunotherapy, and KRASG12C inhibitors.
背景:在肺腺癌(LUAD)的诊断评估中,通过免疫组织化学(IHC)常规评估甲状腺转录因子-1 (TTF-1)表达,在约15-20%的病例中呈阴性(TTF-1 neg)。虽然与TTF-1阳性(TTF-1Pos) LUAD相比,这些肿瘤的预后更差,但目前缺乏TTF-1阴性的全面表征。方法:纳入来自五个机构的LUAD患者和可用的TTF-1 IHC,癌症基因组图谱,Stand Up To Cancer- mark基金会和POPLAR/OAK数据集。根据TTF-1表达情况分析两组患者的特征及预后。结果:在3297例患者中,TTF-1Neg (15%, N=496)与TTF-1Pos (85%, N= 2801)相比,TTF-1Pos与更频繁的烟草使用史和较低的PD-L1表达相关。STK11、KEAP1、SMARCA4、NKX2-1、CDKN2A和KRAS突变的TTF-1Neg LUAD (qNeg LUAD用免疫检查点抑制剂治疗(N=233),与TTF-1Pos病例(N= 1179)相比,有更差的客观缓解率(ORR, 17% vs 28%, P=0.001),中位无进展生存期(mPFS, 2.5 vs 4.4个月),PNeg病例对化学免疫治疗的结果更差(ORR 26% vs 41%, krasg12c突变LUAD的PG12C抑制剂(ORR 13% vs 36%, P=0.03;结论:TTF-1阴性确定了LUAD的一个亚群,免疫治疗、化学免疫治疗和KRASG12C抑制剂的结果更差。
{"title":"TTF-1 Expression in Lung Adenocarcinoma: Clinicopathologic, Genomic, and Immunophenotypic Correlates and Outcomes to Immunotherapy-Based Treatments and KRAS<sup>G12C</sup> Inhibitors.","authors":"Alessandro Di Federico, Lingzhi Hong, Arielle Elkrief, Rohit Thummalapalli, Alissa J Cooper, Biagio Ricciuti, Subba Digumarthy, Joao V Alessi, Pooja Gogia, Grace M Hambelton, Federica Pecci, Maisam Makarem, Malini M Gandhi, Edoardo Garbo, Andrea De Giglio, Ambrogio Gagliano, Francesca Sperandi, Francesco Gelsomino, Stefano Scalera, Laura Cipriani, Daniele Marinelli, Giuseppe Lamberti, Narek Shaverdian, Jessica Haradon, Tom Nguyen, Emma Voligny, Marc Ladanyi, Jianjun Zhang, Don L Gibbons, John V Heymach, Mizuki Nishino, Scott J Rodig, Kathleen Pfaff, Xinan Wang, Natasha Rekhtman, Lynette M Sholl, Jia Luo, Bruce E Johnson, Pasi A Janne, Ravi Arvind, Justin F Gainor, Marcello Maugeri-Saccà, Andrea Ardizzoni, Rebecca S Heist, Kathryn C Arbour, Adam J Schoenfeld, Natalie I Vokes, Mark M Awad","doi":"10.1016/j.jtho.2026.103610","DOIUrl":"10.1016/j.jtho.2026.103610","url":null,"abstract":"<p><strong>Introduction: </strong>Thyroid transcription factor-1 (TTF-1) expression, routinely assessed through immunohistochemistry in the diagnostic evaluation of lung adenocarcinomas (LUADs), is negative (TTF-1<sup>Neg</sup>) in approximately 15% to 20% of cases. Although worse outcomes have been reported for these tumors compared with TTF-1-positive (TTF-1<sup>Pos</sup>) LUAD, a comprehensive characterization of TTF-1 negativity is currently lacking.</p><p><strong>Methods: </strong>Patients with LUAD and available TTF-1 immunohistochemistry from five institutions, The Cancer Genome Atlas, the Stand Up To Cancer-Mark Foundation, and the POPLAR/OAK data sets, were included. Features and outcomes were analyzed according to TTF-1 expression.</p><p><strong>Results: </strong>Among 3297 patients, TTF-1<sup>Neg</sup> (15%, n = 496), compared with TTF-1<sup>Pos</sup> (85%, n = 2801), was associated with a more frequent tobacco use history and lower PD-L1 expression. TTF-1<sup>Neg</sup> LUAD was enriched for STK11, KEAP1, SMARCA4, NKX2-1, CDKN2A, and KRAS mutations (q < 0.05). Patients with metastatic TTF-1<sup>Neg</sup> LUAD treated with immune checkpoint inhibitors (n = 233), compared with TTF-1<sup>Pos</sup> cases (n = 1179), had worse objective response rates (ORR, 17% versus 28%, p = 0.001), median progression-free survival (mPFS, 2.5 versus 4.4 mo, p < 0.0001), and median overall survival (mOS, 9.6 versus 20.2 mo, p < 0.0001). Similarly, TTF-1<sup>Neg</sup> cases had worse outcomes to chemoimmunotherapy (ORR, 26% versus 41%, p < 0.0001; mPFS, 4.6 versus 8.2 mo, p < 0.0001; mOS, 11.2 versus 23.4 mo, p < 0.0001), durvalumab after chemoradiation for unresectable stage III disease (mPFS, 8.0 versus 24.8 mo, p = 0.016; mOS, 20.0 mo versus not reached, p = 0.004), and KRAS<sup>G12C</sup> inhibitors in KRAS<sup>G12C</sup>-mutant LUAD (ORR, 13% versus 36%, p = 0.03; mPFS, 2.7 versus 5.9 mo, p < 0.0001; mOS, 4.4 versus 12.1 mo, p < 0.0001).</p><p><strong>Conclusions: </strong>TTF-1 negativity identifies a subset of LUAD with worse outcomes to immunotherapy, chemoimmunotherapy, and KRAS<sup>G12C</sup> inhibitors.</p>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":" ","pages":"103610"},"PeriodicalIF":20.8,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146197785","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 : 2026-02-12DOI: 10.1016/j.jtho.2026.103609
Gérard Zalcman, Anne Madroszyk, Edouard Guenzi, Charles Dayen, Olivier Molinier, Thomas Egenod, Nicolas Poté, Didier Debieuvre, Sophie Beaucaire-Danel, Adrien Dixmier, Eric Pichon, Sophie Galland-Girodet, Etienne Giroux-Leprieur, Nicolas Cloarec, Jacques Cadranel, Josiane Otto, Philippe Romand, Laure Favier, Stéphanie Martinez, Céline Mascaux, Luc Odier, Alexis Cortot, Clarisse Audigier-Valette, Alexandra Langlais, Elodie Amour, Franck Morin, Martine Antoine, Valérie Gounant, Virginie Westeel, Anne-Claire Toffart
Introduction: Optimal first-line immunotherapy duration in metastatic NSCLC with controlled disease remains unclear. We evaluated 6-month nivolumab-ipilimumab (Nivo-Ipi) in patients with disease control (DC).
Methods: This randomized, open-label, noninferiority trial enrolled treatment-naive patients with metastatic NSCLC (aged 18-75 y, Eastern Cooperative Oncology Group performance status 0-1, no actionable genomic alterations). After 6-month induction treatment with Nivo (3 mg/kg biweekly) plus Ipi (1 mg/kg every 6 wk), patients with DC were randomized to continue treatment or stop and resume at disease progression. The primary outcome was progression-free survival (PFS).
Results: Among 265 patients enrolled, 71 were randomized to the continuation control arm (n = 36) or to the experimental arm (n = 35), with trial premature interruption because of the lack of European filing for the immunotherapy combination. Median PFS follow-up was 47.8 months (95% confidence interval [CI]: 43.1-51.0). In the per-protocol population, median PFS was 18.7 months (95% CI: 7.1-37.1) in the continuation arm versus not reached (NR) (95% CI: 16.1-NR) in the experimental arm. Median OS was 55.5 months (95% CI: 32.4-NR) in the continuation arm versus NR in the experimental group. The 18-month OS was 80.6% (95% CI: 63.5-90.2) and 93.8% (95% CI: 77.3-98.4), respectively. Grade 3 to 5 treatment-related adverse event rates were higher in the continuation arm (54.3% versus 23.5%). Median time until definitive quality-of-life deterioration was 15.5 months (95% CI: 10.0-NR) for the continuation arm but NR in the experimental arm (hazard ratio = 0.36, 95% CI: 0.14-0.92, p = 0.03).
Conclusions: Stopping Nivo-Ipi combination at 6 months in DC patients demonstrated no survival harm at 4 years, reduced severe immune-related adverse events, and delayed quality-of-life deterioration.
{"title":"Four-Year Outcomes of First-Line Nivolumab Plus Ipilimumab for 6 Months Versus Continuation in Patients With Advanced NSCLC: Results of the Randomized IFCT-1701 \"DICIPLE\" Phase III Trial.","authors":"Gérard Zalcman, Anne Madroszyk, Edouard Guenzi, Charles Dayen, Olivier Molinier, Thomas Egenod, Nicolas Poté, Didier Debieuvre, Sophie Beaucaire-Danel, Adrien Dixmier, Eric Pichon, Sophie Galland-Girodet, Etienne Giroux-Leprieur, Nicolas Cloarec, Jacques Cadranel, Josiane Otto, Philippe Romand, Laure Favier, Stéphanie Martinez, Céline Mascaux, Luc Odier, Alexis Cortot, Clarisse Audigier-Valette, Alexandra Langlais, Elodie Amour, Franck Morin, Martine Antoine, Valérie Gounant, Virginie Westeel, Anne-Claire Toffart","doi":"10.1016/j.jtho.2026.103609","DOIUrl":"10.1016/j.jtho.2026.103609","url":null,"abstract":"<p><strong>Introduction: </strong>Optimal first-line immunotherapy duration in metastatic NSCLC with controlled disease remains unclear. We evaluated 6-month nivolumab-ipilimumab (Nivo-Ipi) in patients with disease control (DC).</p><p><strong>Methods: </strong>This randomized, open-label, noninferiority trial enrolled treatment-naive patients with metastatic NSCLC (aged 18-75 y, Eastern Cooperative Oncology Group performance status 0-1, no actionable genomic alterations). After 6-month induction treatment with Nivo (3 mg/kg biweekly) plus Ipi (1 mg/kg every 6 wk), patients with DC were randomized to continue treatment or stop and resume at disease progression. The primary outcome was progression-free survival (PFS).</p><p><strong>Results: </strong>Among 265 patients enrolled, 71 were randomized to the continuation control arm (n = 36) or to the experimental arm (n = 35), with trial premature interruption because of the lack of European filing for the immunotherapy combination. Median PFS follow-up was 47.8 months (95% confidence interval [CI]: 43.1-51.0). In the per-protocol population, median PFS was 18.7 months (95% CI: 7.1-37.1) in the continuation arm versus not reached (NR) (95% CI: 16.1-NR) in the experimental arm. Median OS was 55.5 months (95% CI: 32.4-NR) in the continuation arm versus NR in the experimental group. The 18-month OS was 80.6% (95% CI: 63.5-90.2) and 93.8% (95% CI: 77.3-98.4), respectively. Grade 3 to 5 treatment-related adverse event rates were higher in the continuation arm (54.3% versus 23.5%). Median time until definitive quality-of-life deterioration was 15.5 months (95% CI: 10.0-NR) for the continuation arm but NR in the experimental arm (hazard ratio = 0.36, 95% CI: 0.14-0.92, p = 0.03).</p><p><strong>Conclusions: </strong>Stopping Nivo-Ipi combination at 6 months in DC patients demonstrated no survival harm at 4 years, reduced severe immune-related adverse events, and delayed quality-of-life deterioration.</p>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":" ","pages":"103609"},"PeriodicalIF":20.8,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146197840","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}
Introduction: Acquired resistance to third-generation EGFR-tyrosine kinase inhibitors (EGFR-TKIs) is a major challenge in NSCLC, with approximately 50% of cases lacking precise resistance mechanisms. This study investigates the immunosuppressive tumor microenvironment (TME) driving resistance and develops a novel triple-combination therapy to restore T-cell antitumor activity.
Methods: Single-cell RNA sequencing and multicolor fluorescence staining were performed on NSCLC patient samples to analyze TME changes post-EGFR-TKI resistance. A triple therapy combining BC3448 (EGFR and CD3 bispecific T-cell engager), tucidinostat (histone deacetylase inhibitor), and WBP3425 (4-1BB agonist) was tested using in vitro co-culture assays, syngeneic cell-derived xenograft models in humanized NOG-EXL mice, and multi-omics analyses.
Results: Single-cell RNA sequencing revealed reduced T-cell infiltration or activation and increased immunosuppressive myeloid cells in resistant NSCLC. BC3448 monotherapy activated T cells and induced tumor cell apoptosis in vitro but was limited in vivo because of myeloid-driven immunosuppression. The triple therapy significantly enhanced tumor regression in osimertinib-resistant models (tumor growth inhibition >70%, p < 0.001), promoted CD8+ effector T-cell differentiation, and suppressed Tregs and M2 macrophages. CD40-CD40L axis activation between T cells and monocyte-derived macrophages was critical for TME remodeling, with spatial profiling revealing increased CD40L+ T-cell and CD40+ macrophage proximity, correlating with higher IFN-γ and reduced angiogenesis. A durable response to BC3448 monotherapy was observed in an immunotherapy-resistant patient with NSCLC (>2 y of stable disease), presenting a translational potential of this approach.
Conclusions: This study establishes a novel triple therapy that overcomes the limitations of bispecific T-cell engagers in cold and immunosuppressive TMEs and provides an immunomodulatory approach to addressing third-generation EGFR-TKI resistance.
{"title":"Bispecific T-cell Engager (CD3 × EGFR)-Based Triplet Therapy Unlocks CD40/CD40L Crosstalk to Revert Immunosuppression in Third-Generation EGFR-Tyrosine Kinase Inhibitor-Refractory NSCLC.","authors":"Haoyue Guo, Yuanyuan Wang, Meng Diao, Ruoshuang Han, Taiping He, Yuhan Wu, Qianyi Wang, Lei Cheng, Chao Zhao, Xuefei Li, Anwen Xiong, Wei Li, Fei Zhou, Caicun Zhou","doi":"10.1016/j.jtho.2026.103607","DOIUrl":"10.1016/j.jtho.2026.103607","url":null,"abstract":"<p><strong>Introduction: </strong>Acquired resistance to third-generation EGFR-tyrosine kinase inhibitors (EGFR-TKIs) is a major challenge in NSCLC, with approximately 50% of cases lacking precise resistance mechanisms. This study investigates the immunosuppressive tumor microenvironment (TME) driving resistance and develops a novel triple-combination therapy to restore T-cell antitumor activity.</p><p><strong>Methods: </strong>Single-cell RNA sequencing and multicolor fluorescence staining were performed on NSCLC patient samples to analyze TME changes post-EGFR-TKI resistance. A triple therapy combining BC3448 (EGFR and CD3 bispecific T-cell engager), tucidinostat (histone deacetylase inhibitor), and WBP3425 (4-1BB agonist) was tested using in vitro co-culture assays, syngeneic cell-derived xenograft models in humanized NOG-EXL mice, and multi-omics analyses.</p><p><strong>Results: </strong>Single-cell RNA sequencing revealed reduced T-cell infiltration or activation and increased immunosuppressive myeloid cells in resistant NSCLC. BC3448 monotherapy activated T cells and induced tumor cell apoptosis in vitro but was limited in vivo because of myeloid-driven immunosuppression. The triple therapy significantly enhanced tumor regression in osimertinib-resistant models (tumor growth inhibition >70%, p < 0.001), promoted CD8+ effector T-cell differentiation, and suppressed Tregs and M2 macrophages. CD40-CD40L axis activation between T cells and monocyte-derived macrophages was critical for TME remodeling, with spatial profiling revealing increased CD40L+ T-cell and CD40+ macrophage proximity, correlating with higher IFN-γ and reduced angiogenesis. A durable response to BC3448 monotherapy was observed in an immunotherapy-resistant patient with NSCLC (>2 y of stable disease), presenting a translational potential of this approach.</p><p><strong>Conclusions: </strong>This study establishes a novel triple therapy that overcomes the limitations of bispecific T-cell engagers in cold and immunosuppressive TMEs and provides an immunomodulatory approach to addressing third-generation EGFR-TKI resistance.</p>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":" ","pages":"103607"},"PeriodicalIF":20.8,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146165829","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 : 2026-02-01Epub Date: 2025-09-25DOI: 10.1016/j.jtho.2025.09.1756
Kimberly A. Shoenbill MD, PhD , Jamie S. Ostroff PhD , Kathryn L. Taylor PhD , Ana Jafarinia MPH , Mara Minion MA , Lou-Anne Chichester MPH , Brandon Omernik MS , Marcia McCall PhD, MBA , Sophia Yeung MHA , Kara Wiseman PhD, MPH , Li-Shiun Chen MD, ScD, MPH , Ramzi G. Salloum PhD, MA, MBA , Graham Warren MD, PhD
Introduction
Although there is widespread acceptance of the importance of assessing and treating tobacco use in cancer care settings, there is much variation in the documentation and reporting of metrics relevant to tobacco treatment. The Cancer Center Cessation Initiative (C3I), as part of the National Cancer Institute’s Cancer Moonshot, convened a Metrics Standardization Workgroup to develop a data dictionary and make recommendations for standardized quality measurement, program evaluation, and tobacco treatment program development.
Methods
A multidisciplinary workgroup of 12 subject matter experts was convened to deliberate and standardize definitions for tobacco assessment and treatment utilization metrics. Decisions on which data elements to include were informed by clinical guidelines, literature reviews, and workgroup members’ expertise. Consensus was reached when all members agreed that the proposed metric was clear, clinically relevant, and could be abstracted and reported.
Results
The group considered metrics in the following categories: (1) patient identification, screening, and referral; (2) tobacco treatment process metrics; and (3) treatment outcomes. Furthermore, the group developed a tobacco screening, referral and engagement workflow, and a data library for the following terms: patient population, screening rate, tobacco use prevalence, referral rate, reach, unsuccessful reach attempts, enrollment, treatment engagement, and counseling dose. Outcome metrics (i.e., varied “quit rate” terms) were collated and defined.
Conclusions
The proposed standardized data definitions can be used to improve communication and measure effectiveness for tobacco use treatment, research, operational performance, policy, quality improvement, and guideline development.
{"title":"Recommendations for Standardization of Tobacco Use Treatment Data","authors":"Kimberly A. Shoenbill MD, PhD , Jamie S. Ostroff PhD , Kathryn L. Taylor PhD , Ana Jafarinia MPH , Mara Minion MA , Lou-Anne Chichester MPH , Brandon Omernik MS , Marcia McCall PhD, MBA , Sophia Yeung MHA , Kara Wiseman PhD, MPH , Li-Shiun Chen MD, ScD, MPH , Ramzi G. Salloum PhD, MA, MBA , Graham Warren MD, PhD","doi":"10.1016/j.jtho.2025.09.1756","DOIUrl":"10.1016/j.jtho.2025.09.1756","url":null,"abstract":"<div><h3>Introduction</h3><div>Although there is widespread acceptance of the importance of assessing and treating tobacco use in cancer care settings, there is much variation in the documentation and reporting of metrics relevant to tobacco treatment. The Cancer Center Cessation Initiative (C3I), as part of the National Cancer Institute’s Cancer Moonshot, convened a Metrics Standardization Workgroup to develop a data dictionary and make recommendations for standardized quality measurement, program evaluation, and tobacco treatment program development.</div></div><div><h3>Methods</h3><div>A multidisciplinary workgroup of 12 subject matter experts was convened to deliberate and standardize definitions for tobacco assessment and treatment utilization metrics. Decisions on which data elements to include were informed by clinical guidelines, literature reviews, and workgroup members’ expertise. Consensus was reached when all members agreed that the proposed metric was clear, clinically relevant, and could be abstracted and reported.</div></div><div><h3>Results</h3><div>The group considered metrics in the following categories: (1) patient identification, screening, and referral; (2) tobacco treatment process metrics; and (3) treatment outcomes. Furthermore, the group developed a tobacco screening, referral and engagement workflow, and a data library for the following terms: patient population, screening rate, tobacco use prevalence, referral rate, reach, unsuccessful reach attempts, enrollment, treatment engagement, and counseling dose. Outcome metrics (i.e., varied “quit rate” terms) were collated and defined.</div></div><div><h3>Conclusions</h3><div>The proposed standardized data definitions can be used to improve communication and measure effectiveness for tobacco use treatment, research, operational performance, policy, quality improvement, and guideline development.</div></div>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"21 2","pages":"Pages 258-266"},"PeriodicalIF":20.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181987","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 : 2026-02-01Epub Date: 2026-02-04DOI: 10.1016/j.jtho.2025.10.017
Ahmed S.K. Al-Khafaji PhD , Fawaz Al-Alloosh MSc, MD , Haydar H. Alabedi MD , Khitam M.A. Al-Obaidi HDip Medicine , Alia H. Al-Khafaji MSc , Sima I. Ghaddar BSc , Mahmood J. Khalsan PhD , Ali S. Baay MBChB, FIBMS Medicine, FIBMS (Pulmonology) , Waleed M. Hussen MBChB, FIBMS (Th.C.V.S) , Faris H. Lami MBChB, PhD, FFPH , Mahdi Sheikh MD, PhD
{"title":"Lung Cancer in Iraq","authors":"Ahmed S.K. Al-Khafaji PhD , Fawaz Al-Alloosh MSc, MD , Haydar H. Alabedi MD , Khitam M.A. Al-Obaidi HDip Medicine , Alia H. Al-Khafaji MSc , Sima I. Ghaddar BSc , Mahmood J. Khalsan PhD , Ali S. Baay MBChB, FIBMS Medicine, FIBMS (Pulmonology) , Waleed M. Hussen MBChB, FIBMS (Th.C.V.S) , Faris H. Lami MBChB, PhD, FFPH , Mahdi Sheikh MD, PhD","doi":"10.1016/j.jtho.2025.10.017","DOIUrl":"10.1016/j.jtho.2025.10.017","url":null,"abstract":"","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"21 2","pages":"Pages 227-234"},"PeriodicalIF":20.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102870","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 : 2026-02-01Epub Date: 2026-02-04DOI: 10.1016/j.jtho.2025.12.103
{"title":"Tobacco News Update—From the IASLC Tobacco Control Committee","authors":"","doi":"10.1016/j.jtho.2025.12.103","DOIUrl":"10.1016/j.jtho.2025.12.103","url":null,"abstract":"","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"21 2","pages":"Pages 211-214"},"PeriodicalIF":20.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102865","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 : 2026-02-01Epub Date: 2026-02-04DOI: 10.1016/j.jtho.2025.11.017
Stephen Lam MD, FRCPC , David R. Baldwin MD, FRCP , Anand Devaraj MD , John Field PhD, FRCPath. , Claudia I. Henschke MD, PhD , Marjolein A. Heuvelmans MD, PhD , Rudolf M. Huber MD, PhD , Catherine Jones M.B.B.S., FRCR , Andrea Borondy-Kitts MS, MPH , Molly Siu Ching Li M.B.B.S., FHKAM , Renelle Myers MD, FRCPC , Raymond U. Osarogiagbon M.B.B.S., FACP , Hilary A. Robbins PhD , Martin C. Tammemägi DVM, MSc, PhD , Kathryn L. Taylor PhD , Natthaya Triphuridet MD, PhD , Randi M. Williams PhD, MPH , David Yankelevitz MD
In the past two decades, lung cancer screening (LCS) with low-dose computed tomography (LDCT) has emerged as one of the most effective strategies for reducing lung cancer mortality. Landmark trials, including NLST and NELSON, demonstrated mortality reductions exceeding 20%, establishing LDCT as the standard of care for early detection in high-risk populations. Currently, 13 countries have implemented national or regional LCS programs, with additional nations preparing for rollout. Advances in risk-prediction models, volumetric nodule assessment, and structured management protocols have improved precision and efficiency. Integration of artificial intelligence is enhancing nodule detection, prediction of malignancy risk, individualized screening intervals, and workflow optimization. Real-world evidence confirms improved stage distribution and suggests reduction in lung cancer mortality. Initiatives such as promoting community engagement, equitable access through geospatial mapping, and mobile screening will improve screening uptake and retention. Embedding tobacco dependence treatment within LCS further augments life-years gained. Complementary incidental pulmonary-nodule programs and expanding studies in people who have never smoked are extending the reach of early detection, whereas biomarker research is progressing toward integration with imaging-based screening. The potential to use LDCT scans to detect coronary heart disease and chronic obstructive pulmonary disease may have a major impact on future health care benefits. Ongoing efforts to harmonize data collection standards, establish quality indicators, and strengthen workforce training are essential to sustain high-quality implementation. As LCS evolves into a cornerstone of lung cancer control, continued innovation in risk stratification, imaging technologies, and biomarker integration will be key to maximizing global benefit and equity.
{"title":"A Game-Changing 20 Years: Progress and Future Directions in Lung Cancer Screening","authors":"Stephen Lam MD, FRCPC , David R. Baldwin MD, FRCP , Anand Devaraj MD , John Field PhD, FRCPath. , Claudia I. Henschke MD, PhD , Marjolein A. Heuvelmans MD, PhD , Rudolf M. Huber MD, PhD , Catherine Jones M.B.B.S., FRCR , Andrea Borondy-Kitts MS, MPH , Molly Siu Ching Li M.B.B.S., FHKAM , Renelle Myers MD, FRCPC , Raymond U. Osarogiagbon M.B.B.S., FACP , Hilary A. Robbins PhD , Martin C. Tammemägi DVM, MSc, PhD , Kathryn L. Taylor PhD , Natthaya Triphuridet MD, PhD , Randi M. Williams PhD, MPH , David Yankelevitz MD","doi":"10.1016/j.jtho.2025.11.017","DOIUrl":"10.1016/j.jtho.2025.11.017","url":null,"abstract":"<div><div>In the past two decades, lung cancer screening (LCS) with low-dose computed tomography (LDCT) has emerged as one of the most effective strategies for reducing lung cancer mortality. Landmark trials, including NLST and NELSON, demonstrated mortality reductions exceeding 20%, establishing LDCT as the standard of care for early detection in high-risk populations. Currently, 13 countries have implemented national or regional LCS programs, with additional nations preparing for rollout. Advances in risk-prediction models, volumetric nodule assessment, and structured management protocols have improved precision and efficiency. Integration of artificial intelligence is enhancing nodule detection, prediction of malignancy risk, individualized screening intervals, and workflow optimization. Real-world evidence confirms improved stage distribution and suggests reduction in lung cancer mortality. Initiatives such as promoting community engagement, equitable access through geospatial mapping, and mobile screening will improve screening uptake and retention. Embedding tobacco dependence treatment within LCS further augments life-years gained. Complementary incidental pulmonary-nodule programs and expanding studies in people who have never smoked are extending the reach of early detection, whereas biomarker research is progressing toward integration with imaging-based screening. The potential to use LDCT scans to detect coronary heart disease and chronic obstructive pulmonary disease may have a major impact on future health care benefits. Ongoing efforts to harmonize data collection standards, establish quality indicators, and strengthen workforce training are essential to sustain high-quality implementation. As LCS evolves into a cornerstone of lung cancer control, continued innovation in risk stratification, imaging technologies, and biomarker integration will be key to maximizing global benefit and equity.</div></div>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"21 2","pages":"Pages 235-252"},"PeriodicalIF":20.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102871","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 : 2026-02-01Epub Date: 2025-10-21DOI: 10.1016/j.jtho.2025.10.009
Xiuning Le MD , Christina Baik MD , Byoung Chul Cho MD , Jonathan W. Riess MD , Zofia Piotrowska MD, MHS , Adrianus Johannes de Langen MD , Sarah B. Goldberg MD , Jonathan W. Goldman MD , Noemi Reguart MD , Yoshimasa Shiraishi MD , Helen Ambrose PhD , Paula G. Fraenkel MD , Brayan Merchan Ruiz MD , Paul E. Smith MSc , Kwan Ho Tang PhD , Helena A. Yu MD
Introduction
The ORCHARD (NCT03944772) study was conducted to characterize resistance mechanisms and identify optimal treatments after progressive disease (PD) on first-line osimertinib. We report results from the osimertinib plus savolitinib module.
Methods
Patients with EGFR-mutated NSCLC with PD on first-line osimertinib with MET gene amplification (≥4 copies of MET over tumor ploidy) per next-generation sequencing of a post-progression biopsy received osimertinib plus savolitinib. Primary end point was investigator-assessed objective response rate (ORR). Secondary end points included progression-free survival, duration of response, overall survival, and safety. Correlation of ORR with baseline molecular alterations was an exploratory analysis.
Results
A total of 32 patients were enrolled; all had tumors with MET amplification. At primary analysis cutoff (January 2023), confirmed ORR was 47% (80% confidence interval [CI]: 34–60). Median duration of response was 14.5 months (95% CI: 5.6–18.7). Median progression-free survival was 7.6 months (95% CI: 3.2–15.9). There was a trend toward increased ORR in patients with high MET gene copy number (≥10 versus <10). Furthermore, 14 patients (44%) had grade 3 or higher treatment-emergent adverse events; most often pneumonia (n = 3; 9%). At final database lock (May 2024), 20 patients (63%) had died; median overall survival was 20.7 months (95% CI: 9.9–34.8).
Conclusions
Osimertinib plus savolitinib demonstrated encouraging clinical benefit in patients with EGFR-mutated advanced NSCLC and MET amplification after PD on first-line osimertinib. Safety was consistent with profiles of the individual drugs.
{"title":"Osimertinib Plus Savolitinib in Patients With EGFR-Mutated Advanced NSCLC With MET Alterations After First-Line Osimertinib: Clinical Outcomes, Safety, and Biomarker Analysis: A Brief Report","authors":"Xiuning Le MD , Christina Baik MD , Byoung Chul Cho MD , Jonathan W. Riess MD , Zofia Piotrowska MD, MHS , Adrianus Johannes de Langen MD , Sarah B. Goldberg MD , Jonathan W. Goldman MD , Noemi Reguart MD , Yoshimasa Shiraishi MD , Helen Ambrose PhD , Paula G. Fraenkel MD , Brayan Merchan Ruiz MD , Paul E. Smith MSc , Kwan Ho Tang PhD , Helena A. Yu MD","doi":"10.1016/j.jtho.2025.10.009","DOIUrl":"10.1016/j.jtho.2025.10.009","url":null,"abstract":"<div><h3>Introduction</h3><div>The ORCHARD (NCT03944772) study was conducted to characterize resistance mechanisms and identify optimal treatments after progressive disease (PD) on first-line osimertinib. We report results from the osimertinib plus savolitinib module.</div></div><div><h3>Methods</h3><div>Patients with <em>EGFR</em>-mutated NSCLC with PD on first-line osimertinib with <em>MET</em> gene amplification (≥4 copies of <em>MET</em> over tumor ploidy) per next-generation sequencing of a post-progression biopsy received osimertinib plus savolitinib. Primary end point was investigator-assessed objective response rate (ORR). Secondary end points included progression-free survival, duration of response, overall survival, and safety. Correlation of ORR with baseline molecular alterations was an exploratory analysis.</div></div><div><h3>Results</h3><div>A total of 32 patients were enrolled; all had tumors with <em>MET</em> amplification. At primary analysis cutoff (January 2023), confirmed ORR was 47% (80% confidence interval [CI]: 34–60). Median duration of response was 14.5 months (95% CI: 5.6–18.7). Median progression-free survival was 7.6 months (95% CI: 3.2–15.9). There was a trend toward increased ORR in patients with high <em>MET</em> gene copy number (≥10 versus <10). Furthermore, 14 patients (44%) had grade 3 or higher treatment-emergent adverse events; most often pneumonia (n = 3; 9%). At final database lock (May 2024), 20 patients (63%) had died; median overall survival was 20.7 months (95% CI: 9.9–34.8).</div></div><div><h3>Conclusions</h3><div>Osimertinib plus savolitinib demonstrated encouraging clinical benefit in patients with <em>EGFR</em>-mutated advanced NSCLC and <em>MET</em> amplification after PD on first-line osimertinib. Safety was consistent with profiles of the individual drugs.</div></div>","PeriodicalId":17515,"journal":{"name":"Journal of Thoracic Oncology","volume":"21 2","pages":"Pages 318-327"},"PeriodicalIF":20.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145355249","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}