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Chaft JE, Rimner A, Weder W, Azzoli CG, Kris MG, Cascone T. Evolution of systemic therapy for stages I-III non-metastatic non-small-cell lung cancer. Nat Rev Clin Oncol 2021; 18:547-557. [PMID: 33911215 PMCID: PMC9447511 DOI: 10.1038/s41571-021-00501-4] [Citation(s) in RCA: 152] [Impact Index Per Article: 50.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2021] [Indexed: 02/03/2023]
Abstract
The treatment goal for patients with early-stage lung cancer is cure. Multidisciplinary discussions of surgical resectability and medical operability determine the modality of definitive local treatment (surgery or radiotherapy) and the associated systemic therapies to further improve the likelihood of cure. Trial evidence supports cisplatin-based adjuvant therapy either after surgical resection or concurrently with radiotherapy. Consensus guidelines support neoadjuvant chemotherapy in lieu of adjuvant chemotherapy and carboplatin-based regimens for patients who are ineligible for cisplatin. The incorporation of newer agents, now standard for patients with stage IV lung cancer, into the curative therapy paradigm has lagged owing to inefficient trial designs, the lengthy follow-up needed to assess survival end points and a developmental focus on the advanced-stage disease setting. Surrogate end points, such as pathological response, are being studied and might shorten trial durations. In 2018, the anti-PD-L1 antibody durvalumab was approved for patients with stage III lung cancer after concurrent chemoradiotherapy. Since then, the study of targeted therapies and immunotherapies in patients with early-stage lung cancer has rapidly expanded. In this Review, we present the current considerations in the treatment of patients with early-stage lung cancer and explore the current and future state of clinical research to develop systemic therapies for non-metastatic lung cancer.
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Affiliation(s)
- Jamie E. Chaft
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY and Weill Cornell Medical College, New York, NY, USA,These authors contributed equally: Jamie E. Chaft, Andreas Rimner,
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA,These authors contributed equally: Jamie E. Chaft, Andreas Rimner
| | - Walter Weder
- Thoracic Surgery, Klinik Bethanien Zurich, Zurich, Switzerland
| | - Christopher G. Azzoli
- Division of Hematology/Oncology, Lifespan Cancer Institute, Brown University, Providence, RI, USA
| | - Mark G. Kris
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY and Weill Cornell Medical College, New York, NY, USA
| | - Tina Cascone
- Department of Thoracic/Head and Neck Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Zhao Q, Yuan Z, Wang H, Zhang H, Duan G, Zhang X. Role of circulating tumor cells in diagnosis of lung cancer: a systematic review and meta-analysis. J Int Med Res 2021; 49:300060521994926. [PMID: 33682521 PMCID: PMC7944544 DOI: 10.1177/0300060521994926] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective We systematically reviewed the literature relating to the diagnostic accuracy of circulating tumor cells (CTCs) for the clinical determination of lung cancer. Methods This meta-analysis aimed to evaluate the diagnostic accuracy of CTCs for the clinical determination of lung cancer. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for relevant studies up to 31 May 2020. The numbers of patients with true positive, false positive, false negative, and true negative results were extracted from each individual study. Pooled sensitivity, specificity, and area under the curve values were calculated with 95% confidence intervals (CI). Results Twenty-one studies with 3997 subjects met the inclusion criteria. The overall diagnostic accuracy was assessed. The pooled sensitivity and specificity were 0.72 (95%CI: 0.65–0.79) and 0.96 (95%CI: 0.91–0.98), respectively, and the pooled positive and negative likelihood ratios were 16.86 (95%CI: 7.65–37.12) and 0.29 (95%CI: 0.23–0.37), respectively. The combined diagnostic odds ratio was 58.12 (95%CI: 24.82–136.09). Conclusion This meta-analysis indicated that CTCs had good diagnostic value for detecting lung cancer.
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Affiliation(s)
- Qingtao Zhao
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Zheng Yuan
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Huien Wang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Hua Zhang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Guochen Duan
- Department of Thoracic Surgery, Children's Hospital of Hebei Province, Shijiazhuang, China
| | - Xiaopeng Zhang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
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Wang Y, Li J, Huang J, Wu C, Li L, Gong P. Mutation differences in circulating tumor DNAs from non-small cell lung cancer patients between Uygur and Han populations. Medicine (Baltimore) 2021; 100:e24159. [PMID: 33530206 PMCID: PMC7850657 DOI: 10.1097/md.0000000000024159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 11/01/2020] [Accepted: 12/04/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The incidence of non-small cell lung cancer (NSCLC) in Uygur population is gradually increasing recently. In view of the great diagnostic and prognostic values of cell-free DNAs (cfDNA) detection, this study focus on a liquid biopsy to explore the value of cfDNA mutation in healthy and NSCLC patients in 2 ethnicities. METHODS The concentration and sequencing of cfDNA in NSCLC and healthy subjects was assessed with a standard information analysis procedure, including detection, annotation, and statistical analysis. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted to analyze the function of mutant genes and related pathways. Totally, 133 subjects, including 35 Uygur NSCLC patients, 10 Uygur healthy subjects, 63 cases of Han NSCLC patients and 25 Han health control, were admitted to the hospital. RESULTS There were a lower proportion of adenocarcinoma and higher percentage of smoking rate for Uygur patients. For cfDNA level between NSCLC and healthy subjects, Han patients exhibited sharp increase while there was no statistical difference in Uygur population. In addition, the mutation frequency of cfDNA in Han patients (72.6%) was significantly higher than Uygur patients (45.7%). There were 5 gene mutations only found in Han patients and ABCC11 showed a higher mutation frequency in Uygur population as a common one. Finally, Go and Kyoto Encyclopedia of Genes and Genomes analysis showed apprent functional enrichments and pathway changes between 2 ethnicities. CONCLUSION There existed distinct distributions of cancer subtypes, smoking proportion, cfDNA level, and mutation patterns between Han and Uygur patients. The results may be a useful tool in NSCLC patients' diagnosis as well as individualized therapy between ethnicities in future.
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Affiliation(s)
- Yuli Wang
- Department of Oncology, Ganzhou People's Hospital, the Affiliated Ganzhou Hospital of Nanchang University, Ganzhou
| | - Jing Li
- Department of Oncology, Shihezi University School of Medicine, the First Affiliated Hospital, Shihezi
| | - Jian Huang
- Department of Hematology, Wenzhou Central Hospital, Theorem Clinical College, Wenzhou Medical University, Wenzhou
| | | | - Li Li
- Department of Respirology and Intensive Care Unit, the First People's Hospital of Kashi District, Kashi, Chain
| | - Ping Gong
- Department of Oncology, Shihezi University School of Medicine, the First Affiliated Hospital, Shihezi
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7
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Ma Y, Li Q, Du Y, Chen W, Zhao G, Liu X, Li H, Liu J, Shen Z, Ma L, Zhou Y. Oncogenic Genetic Alterations in Non-Small-Cell Lung Cancer (NSCLC) in Southwestern China. Cancer Manag Res 2020; 12:10861-10874. [PMID: 33149691 PMCID: PMC7605593 DOI: 10.2147/cmar.s266069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 10/01/2020] [Indexed: 12/21/2022] Open
Abstract
PURPOSE To investigate the impact of oncogenic genetic alterations (GAs) on non-small-cell lung cancer (NSCLC) in southwestern China. PATIENTS AND METHODS We first collected 579 pathologically confirmed NSCLC specimens and then used next-generation sequencing (NGS) to evaluate the DNA samples for GAs. Both the tissue and plasma samples were provided by 28 patients. Furthermore, subgroup analyses based on sample type, concordance, and GA type were carried out. RESULTS GAs were detected by NGS in 61.8% (358/579) of patients. Two hundred and twenty-nine patients (39.6%) harbored EGFR mutations, 63 (10.9%) harbored KRAS mutations, 13 (2.2%) harbored BRAF mutations, 30 (5.18%) harbored ALK fusions, and 13 (2.2%) had ROS1 fusions. We found that females (p < 0.01), nonsmokers (p < 0.001), adenocarcinoma (p < 0.001), and tissue (p = 0.03) had a relatively high EGFR mutation rate. Notably, NSCLC patients from Xuanwei had a significantly different mutational pattern for EGFR in comparison with that of non-Xuanwei patients (higher G719X + S768I mutations and multiple gene alterations, but fewer exon 19 deletion mutations and single gene alterations). We found that adenocarcinoma (p = 0.02), family history of malignancy (p = 0.03), Xuanwei origin (p < 0.001), and tissue (p = 0.04) were associated with a higher number of KRAS mutations. Subgroup analysis showed that ALK (p < 0.001) and ROS1 (p < 0.05) fusions and rare EGFR mutations (p < 0.001) were associated with non-Han ethnic patients. CONCLUSION Yunnan NSCLC patients from Xuanwei and non-Han ethnic patients had an obviously unique prevalence of GAs.
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Affiliation(s)
- Yuhui Ma
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming650118, People’s Republic of China
| | - Quan Li
- Key Laboratory of Lung Cancer Research of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Yaxi Du
- Key Laboratory of Lung Cancer Research of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Wanlin Chen
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming650118, People’s Republic of China
| | - Guanqiang Zhao
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming650118, People’s Republic of China
| | - Xing Liu
- Key Laboratory of Lung Cancer Research of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Hongsheng Li
- International Joint Laboratory on High Altitude Regional Cancer of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Junxi Liu
- International Joint Laboratory on High Altitude Regional Cancer of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Zhenghai Shen
- Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Luyao Ma
- Key Laboratory of Lung Cancer Research of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
| | - Yongchun Zhou
- Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Kunming650118, People’s Republic of China
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Sabari JK, Offin M, Stephens D, Ni A, Lee A, Pavlakis N, Clarke S, Diakos CI, Datta S, Tandon N, Martinez A, Myers ML, Makhnin A, Leger Y, Yu HA, Paik PK, Chaft JE, Kris MG, Jeon JO, Borsu LA, Ladanyi M, Arcila ME, Hernandez J, Henderson S, Shaffer T, Garg K, DiPasquo D, Raymond CK, Lim LP, Li M, Hellmann MD, Drilon A, Riely GJ, Rusch VW, Jones DR, Rimner A, Rudin CM, Isbell JM, Li BT. A Prospective Study of Circulating Tumor DNA to Guide Matched Targeted Therapy in Lung Cancers. J Natl Cancer Inst 2020; 111:575-583. [PMID: 30496436 DOI: 10.1093/jnci/djy156] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 07/13/2018] [Accepted: 08/08/2018] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Liquid biopsy for plasma circulating tumor DNA (ctDNA) next-generation sequencing (NGS) is commercially available and increasingly adopted in clinical practice despite a paucity of prospective data to support its use. METHODS Patients with advanced lung cancers who had no known oncogenic driver or developed resistance to current targeted therapy (n = 210) underwent plasma NGS, targeting 21 genes. A subset of patients had concurrent tissue NGS testing using a 468-gene panel (n = 106). Oncogenic driver detection, test turnaround time (TAT), concordance, and treatment response guided by plasma NGS were measured. All statistical tests were two-sided. RESULTS Somatic mutations were detected in 64.3% (135/210) of patients. ctDNA detection was lower in patients who were on systemic therapy at the time of plasma collection compared with those who were not (30/70, 42.9% vs 105/140, 75.0%; OR = 0.26, 95% CI = 0.1 to 0.5, P < .001). The median TAT of plasma NGS was shorter than tissue NGS (9 vs 20 days; P < .001). Overall concordance, defined as the proportion of patients for whom at least one identical genomic alteration was identified in both tissue and plasma, was 56.6% (60/106, 95% CI = 46.6% to 66.2%). Among patients who tested plasma NGS positive, 89.6% (60/67; 95% CI = 79.7% to 95.7%) were also concordant on tissue NGS and 60.6% (60/99; 95% CI = 50.3% to 70.3%) vice versa. Patients who tested plasma NGS positive for oncogenic drivers had tissue NGS concordance of 96.1% (49/51, 95% CI = 86.5% to 99.5%), and directly led to matched targeted therapy in 21.9% (46/210) with clinical response. CONCLUSIONS Plasma ctDNA NGS detected a variety of oncogenic drivers with a shorter TAT compared with tissue NGS and matched patients to targeted therapy with clinical response. Positive findings on plasma NGS were highly concordant with tissue NGS and can guide immediate therapy; however, a negative finding in plasma requires further testing. Our findings support the potential incorporation of plasma NGS into practice guidelines.
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Affiliation(s)
- Joshua K Sabari
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Michael Offin
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Dennis Stephens
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Andy Ni
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Adrian Lee
- Northern Cancer Institute, University of Sydney, Sydney, Australia
| | - Nick Pavlakis
- Northern Cancer Institute, University of Sydney, Sydney, Australia
| | - Stephen Clarke
- Northern Cancer Institute, University of Sydney, Sydney, Australia
| | - Connie I Diakos
- Northern Cancer Institute, University of Sydney, Sydney, Australia
| | - Sutirtha Datta
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Nidhi Tandon
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Andres Martinez
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Mackenzie L Myers
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Alex Makhnin
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Ysleni Leger
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Helena A Yu
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Paul K Paik
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Jamie E Chaft
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Mark G Kris
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Jeong O Jeon
- Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Laetitia A Borsu
- Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marc Ladanyi
- Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Maria E Arcila
- Diagnostic Molecular Pathology Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | | | | | | | - Mark Li
- Resolution Bioscience, Redmond, WA
| | - Matthew D Hellmann
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Alexander Drilon
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Gregory J Riely
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | | | | | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | - Charles M Rudin
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
| | | | - Bob T Li
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY
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