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Yao M, Chen H, Chen Z, Wang Y, Shi D, Wu D, Li W, Huang J, Chen G, Zheng Q, Ye Z, Zheng C, Yang Y. Genomic and transcriptomic significance of multiple primary lung cancers detected by next-generation sequencing in clinical settings. Carcinogenesis 2024; 45:387-398. [PMID: 38693810 DOI: 10.1093/carcin/bgae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 03/18/2024] [Accepted: 04/26/2024] [Indexed: 05/03/2024] Open
Abstract
Effective diagnosis and understanding of the mechanism of intrapulmonary metastasis (IM) from multiple primary lung cancers (MPLC) aid clinical management. However, the actual detection panels used in the clinic are variable. Current research on tumor microenvironment (TME) of MPLC and IM is insufficient. Therefore, additional investigation into the differential diagnosis and discrepancies in TME between two conditions is crucial. Two hundred and fourteen non-small cell lung cancer patients with multiple tumors were enrolled and 507 samples were subjected to DNA sequencing (NGS 10). Then, DNA and RNA sequencing (master panel) were performed on the specimens from 32 patients, the TME profiles between tumors within each patient and across patients and the differentially expressed genes were compared. Four patients were regrouped with NGS 10 results. Master panel resolved the classifications of six undetermined patients. The TME in MPLC exhibited a high degree of infiltration by natural killer (NK) cells, CD56dim NK cells, endothelial cells, etc., P < 0.05. Conversely, B cells, activated B cells, regulatory cells, immature dendritic cells, etc., P < 0.001, were heavily infiltrated in the IM. NECTIN4 and LILRB4 mRNA were downregulated in the MPLC (P < 0.0001). Additionally, NECTIN4 (P < 0.05) and LILRB4 were linked to improved disease-free survival in the MPLC. In conclusion, IM is screened from MPLC by pathology joint NGS 10 detections, followed by a large NGS panel for indistinguishable patients. A superior prognosis of MPLC may be associated with an immune-activating TME and the downregulation of NECTIN4 and LILRB4 considered as potential drug therapeutic targets.
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Affiliation(s)
- Meihong Yao
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Hu Chen
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Zui Chen
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Yingying Wang
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Dongliang Shi
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Dan Wu
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Wen Li
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Jianping Huang
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Guizhen Chen
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Qiaoling Zheng
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Zhengtao Ye
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
| | - Chenxin Zheng
- School of Economics, Xiamen University, No.422 Siming South Road, Siming District, Xiamen 361005, Fujian Province, China
| | - Yinghong Yang
- Department of Pathology, Fujian Medical University Union Hospital, No.29 Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China
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Werner R, Steinmann N, Decaluwe H, Date H, De Ruysscher D, Opitz I. Complex situations in lung cancer: multifocal disease, oligoprogression and oligorecurrence. Eur Respir Rev 2024; 33:230200. [PMID: 38811031 PMCID: PMC11134198 DOI: 10.1183/16000617.0200-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 02/23/2024] [Indexed: 05/31/2024] Open
Abstract
With the emergence of lung cancer screening programmes and newly detected localised and multifocal disease, novel treatment compounds and multimodal treatment approaches, the treatment landscape of non-small cell lung cancer is becoming increasingly complex. In parallel, in-depth molecular analyses and clonality studies are revealing more information about tumorigenesis, potential therapeutical targets and the origin of lesions. All can play an important role in cases with multifocal disease, oligoprogression and oligorecurrence. In multifocal disease, it is essential to understand the relatedness of separate lesions for treatment decisions, because this information distinguishes separate early-stage tumours from locally advanced or metastatic cancer. Clonality studies suggest that a majority of same-histology lesions represent multiple primary tumours. With the current standard of systemic treatment, oligoprogression after an initial treatment response is a common scenario. In this state of induced oligoprogressive disease, local ablative therapy by either surgery or radiotherapy is becoming increasingly important. Another scenario involves the emergence of a limited number of metastases after radical treatment of the primary tumour, referred to as oligorecurrence, for which the use of local ablative therapy holds promise in improving survival. Our review addresses these complex situations in lung cancer by discussing current evidence, knowledge gaps and treatment recommendations.
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Affiliation(s)
- Raphael Werner
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Nina Steinmann
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Herbert Decaluwe
- Department of Thoracovascular Surgery, Ziekenhuis Oost-Limburg, Genk, Belgium
| | - Hiroshi Date
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Isabelle Opitz
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
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Li Z, Lv H, Zhang F, Zhu Z, Guo Q, Wang M, Huang C, Guo L, Meng F, Tian Z. Using molecular characteristics to distinguish multiple primary lung cancers and intrapulmonary metastases. PeerJ 2024; 12:e16808. [PMID: 38313018 PMCID: PMC10838092 DOI: 10.7717/peerj.16808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/29/2023] [Indexed: 02/06/2024] Open
Abstract
Objectives Multiple lung cancers may present as multiple primary lung cancers (MPLC) or intrapulmonary metastasis (IPM) with variations in clinical stage, treatment, and prognosis. However, the existing differentiation criteria based on histology do not fully meet the clinical needs. Next-generation sequencing (NGS) may play an important role in assisting the identification of different pathologies. Here, we extended the relevant data by combining histology and NGS to develop detailed identification criteria for MPLC and IPM. Materials and Methods Patients with lung cancer (each patient had ≥2 tumors) were enrolled in the training (n = 22) and validation (n = 13) cohorts. Genomic profiles obtained from 450-gene-targeted NGS were analyzed, and the new criteria were developed based on our findings and pre-existing Martini & Melamed criteria and molecular benchmarks. Results The analysis of the training cohort indicated that patients identified with MPLC had no (or <2) trunk or shared mutations. However, 98.02% of mutations were branch mutations, and 69.23% of MPLC had no common mutations. In contrast, a higher percentage of trunk (33.08%) or shared (9.02%) mutations were identified in IPM, suggesting significant differences among mutated components. Subsequently, eight MPLC and five IPM cases were identified in the validation cohort, aligning with the independent imaging and pathologic distinction. Overall, the percentage of trunk and shared mutations was higher in patients with IPM than in patients with MPLC. Based on these results and the establishment of new determination criteria for MPLC and IPM, we emphasize that the type and number of shared variants based on histologic consistency assist in identification. Conclusion Determining genetic alterations may be an effective method for differentiating MPLC and IPM, and NGS can be used as a valuable assisting tool.
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Affiliation(s)
- Zhenhua Li
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Huilai Lv
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fan Zhang
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ziming Zhu
- Department of Thoracic Surgery, The First Hospital of Xingtai, Xingtai, China
| | - Qiang Guo
- Department of Thoracic Surgery, Affiliated Hospital of Hebei University, Baoding, China
| | - Mingbo Wang
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chao Huang
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | | | | | - Ziqiang Tian
- Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Yang Y, Pei G, Li M, Ma X, Wang S, Min X, Meng S, Qin J, Wang H, Liu J, Huang Y. Case report: Targeted sequencing facilitates the diagnosis and management of rare multifocal pure ground-glass opacities with intrapulmonary metastasis. Front Oncol 2024; 13:1276095. [PMID: 38322291 PMCID: PMC10846301 DOI: 10.3389/fonc.2023.1276095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/21/2023] [Indexed: 02/08/2024] Open
Abstract
Introduction Treatments for multiple ground-glass opacities (GGOs) for which the detection rate is increasing are still controversial. Next-generation sequencing (NGS) may provide additional key evidence for differential diagnosis or optimal therapeutic schedules. Case presentation We first reported a rare case in which more than 100 bilateral pulmonary GGOs (91.7% of the GGOs were pure GGOs) were diagnosed as both multiple primary lung cancer and intrapulmonary metastasis. We performed NGS with an 808-gene panel to assess both somatic and germline alterations in tissues and plasma. The patient (male) underwent three successive surgeries and received osimertinib adjuvant therapy due to signs of metastasis and multiple EGFR-mutated tumors. The patient had multiple pure GGOs, and eight tumors of four pathological subtypes were evaluated for the clonal relationship. Metastasis, including pure GGOs and atypical adenomatous hyperplasia, was found between two pairs of tumors. Circulating tumor DNA (ctDNA) monitoring of disease status may impact clinical decision-making. Conclusions Surgery combined with targeted therapies remains a reasonable alternative strategy for treating patients with multifocal GGOs, and NGS is valuable for facilitating diagnostic workup and adjuvant therapy with targeted drugs through tissue and disease monitoring via ctDNA.
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Affiliation(s)
- Yingshun Yang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Guotian Pei
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Mingwei Li
- Department of Medicine, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Xiaoxue Ma
- Department of Medicine, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Shuai Wang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Xianjun Min
- Department of Thoracic Surgery, Aerospace 731 Hospital, Beijing, China
| | - Shushi Meng
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Jiayue Qin
- Department of Medicine, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Huina Wang
- Department of Medicine, Acornmed Biotechnology Co., Ltd, Beijing, China
| | - Jun Liu
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
| | - Yuqing Huang
- Department of Thoracic Surgery, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing, China
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Chen TF, Yang L, Chen HB, Zhou ZG, Wu ZT, Luo HH, Li Q, Zhu Y. A pairwise radiomics algorithm-lesion pair relation estimation model for distinguishing multiple primary lung cancer from intrapulmonary metastasis. PRECISION CLINICAL MEDICINE 2023; 6:pbad029. [PMID: 38024138 PMCID: PMC10662663 DOI: 10.1093/pcmedi/pbad029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
Background Distinguishing multiple primary lung cancer (MPLC) from intrapulmonary metastasis (IPM) is critical for their disparate treatment strategy and prognosis. This study aimed to establish a non-invasive model to make the differentiation pre-operatively. Methods We retrospectively studied 168 patients with multiple lung cancers (307 pairs of lesions) including 118 cases for modeling and internal validation, and 50 cases for independent external validation. Radiomic features on computed tomography (CT) were extracted to calculate the absolute deviation of paired lesions. Features were then selected by correlation coefficients and random forest classifier 5-fold cross-validation, based on which the lesion pair relation estimation (PRE) model was developed. A major voting strategy was used to decide diagnosis for cases with multiple pairs of lesions. Cases from another institute were included as the external validation set for the PRE model to compete with two experienced clinicians. Results Seven radiomic features were selected for the PRE model construction. With major voting strategy, the mean area under receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of the training versus internal validation versus external validation cohort to distinguish MPLC were 0.983 versus 0.844 versus 0.793, 0.942 versus 0.846 versus 0.760, 0.905 versus 0.728 versus 0.727, and 0.962 versus 0.910 versus 0.769, respectively. AUCs of the two clinicians were 0.619 and 0.580. Conclusions The CT radiomic feature-based lesion PRE model is potentially an accurate diagnostic tool for the differentiation of MPLC and IPM, which could help with clinical decision making.
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Affiliation(s)
- Ting-Fei Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510000, China
| | - Lei Yang
- Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510000, China
| | - Hai-Bin Chen
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing 100017, China
| | - Zhi-Guo Zhou
- Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab), Department of Biostatistics & Data Science, University of Kansas Medical Center, and University of Kansas Cancer Center, Kansas City, KS 66160, USA
| | - Zhen-Tian Wu
- Center for Information Technology & Statistics, Statistics Section, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510000, China
| | - Hong-He Luo
- Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510000, China
| | - Qiong Li
- Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China
| | - Ying Zhu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510000, China
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Wang Z, Yuan X, Jiang G, Li Y, Yang F, Wang J, Chen K. Towards the molecular era of discriminating multiple lung cancers. EBioMedicine 2023; 90:104508. [PMID: 36958271 PMCID: PMC10040518 DOI: 10.1016/j.ebiom.2023.104508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 03/25/2023] Open
Abstract
In the era of histopathology-based diagnosis, the discrimination between multiple lung cancers (MLCs) poses significant uncertainties and has thus become a clinical dilemma. However, recent significant advances and increased application of molecular technologies in clonal relatedness assessment have led to more precision in distinguishing between multiple primary lung cancers (MPLCs) and intrapulmonary metastasis (IPMs). This review summarizes recent advances in the molecular identification of MLCs and compares various methods based on somatic mutations, chromosome alterations, microRNAs, and tumor microenvironment markers. The paper also discusses current challenges at the forefront of genomics-based discrimination, including the selection of detection technology, application of next-generation sequencing, and intratumoral heterogeneity (ITH). In summary, this paper highlights an entrance into the primary stage of molecule-based diagnostics.
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Affiliation(s)
- Ziyang Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Xiaoqiu Yuan
- Peking University Health Science Center, Beijing, 100191, China
| | - Guanchao Jiang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Yun Li
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Fan Yang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Jun Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Kezhong Chen
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
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Huang M, Xu Q, Zhou M, Li X, Lv W, Zhou C, Wu R, Zhou Z, Chen X, Huang C, Lu G. Distinguishing multiple primary lung cancers from intrapulmonary metastasis using CT-based radiomics. Eur J Radiol 2023; 160:110671. [PMID: 36739831 DOI: 10.1016/j.ejrad.2022.110671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/29/2022] [Accepted: 12/22/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE To develop CT-based radiomics models that can efficiently distinguish between multiple primary lung cancers (MPLCs) and intrapulmonary metastasis (IPMs). METHOD This retrospective study included 127 patients with 254 lung tumors pathologically proved as MPLCs or IPMs between May 2009 and January 2020. Radiomics features of lung tumors were extracted from baseline CT scans. Particularly, we incorporated tumor-focused, refined radiomics by calculating relative radiomics differences from paired tumors of individual patients. We applied the L1-norm regularization and analysis of variance to select informative radiomics features for constructing radiomics model (RM) and refined radiomics model (RRM). The performance was assessed by the area under the receiver operating characteristic curve (AUC-ROC). The two radiomics models were compared with the clinical-CT model (CCM, including clinical and CT semantic features). We incorporated both radiomics features to construct fusion model1 (FM1). We also, build fusion model2 (FM2) by combing both radiomics, clinical and CT semantic features. The performance of the FM1 and FM2 were further compared with that of the RRM. RESULTS On the validation set, the RM achieved an AUC of 0.857. The RRM demonstrated improved performance (validation set AUC, 0.870) than the RM, and showed significant differences compared with the CCM (validation set AUC, 0.782). Fusion models further led prediction performance (validation set AUC, FM1:0.885; FM2:0.889). There were no significant differences among the performance of the FM1, the FM2 and the RRM. CONCLUSIONS The CT-based radiomics models presented good performance on the discrimination between MPLCs and IPMs, demonstrating the potential for early diagnosis and treatment guidance for MPLCs and IPMs.
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Affiliation(s)
- Mei Huang
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Qinmei Xu
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China; Department of Radiology, Stanford University, School of Medicine, Stanford, United States
| | - Mu Zhou
- Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ 08854, United States
| | - Xinyu Li
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China; Department of Medical Imaging, Jinling Hospital, School of Medical Imaging, Nanjing Medical University, Nanjing, China
| | - Wenhui Lv
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Changsheng Zhou
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Ren Wu
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China; Department of Medical Imaging, Jinling Hospital, School of Medical Imaging, Nanjing Medical University, Nanjing, China
| | - Zhen Zhou
- Deepwise AI Lab, Deepwise Inc., Beijing, China
| | | | | | - Guangming Lu
- Department of Medical Imaging, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
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Wang F, Su H, E H, Hou L, Yang M, Xu L, Gao J, Zhao M, Wu J, Deng J, Xie X, Zhong Y, Li Y, Wang T, Wu C, Xie D, Chen C. Reconsidering T component of cancer staging for T3/T4 non-small-cell lung cancer with additional nodule. Ther Adv Med Oncol 2022; 14:17588359221130502. [PMID: 36312817 PMCID: PMC9597052 DOI: 10.1177/17588359221130502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/12/2022] [Indexed: 11/15/2022] Open
Abstract
Background Non-small-cell lung cancer (NSCLC) with additional nodule(s) located in the same lobe or ipsilateral different lobe were designated as T3 and T4, respectively, which was merely defined by anatomical location of additional nodule(s), regardless of other prognostic factors. Methods A total of 4711 patients with T1-4, N0-2, M0 NSCLC undergoing complete resection were identified between 2009 and 2014, including 145 patients with additional nodule(s) in the same lobe (T3-Add) and 174 patients with additional tumor nodule(s) in ipsilateral different lobe (T4-Add). Overall survival (OS) was compared using multivariable Cox regression models and propensity score matching analysis (PSM). Results T3-Add patients [T3-Add versus T3, hazard ratio (HR), 0.695; 95% confidence interval (CI), 0.528-0.915; p = 0.009] and comparable OS with T2b patients through multivariable Cox analysis, and further validated by PSM. T4-Add patients carried a wide spectrum of prognosis, and the largest diameter of single tumor was screened out as the most effective indicator for distinguishing prognosis. T4-Add (⩽3 cm) patients had better OS than T4 patients [T4-Add (⩽3 cm) versus T4, HR, 0.629; 95% CI, 0.455-0.869; p = 0.005] and comparable OS with T3 patients. And T4-Add (>3 cm) patients had comparable OS with T4 patients. Conclusion NSCLC patients with additional nodule(s) in the same lobe and ipsilateral different lobe (maximum tumor diameter ⩽ 3 cm) should be further validated and considered restaging as T2b and T3 in the forthcoming 9th tumor, node, and metastasis staging system.
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Affiliation(s)
| | | | | | - Likun Hou
- Department of Pathology, Shanghai Pulmonary
Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic
of China
| | - Minglei Yang
- Department of Thoracic Surgery, Ningbo No. 2
Hospital, Chinese Academy of Sciences, Ningbo
| | - Long Xu
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Jiani Gao
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Mengmeng Zhao
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Junqi Wu
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Jiajun Deng
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Xiaofeng Xie
- Department of Pathology, Shanghai Pulmonary
Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic
of China
| | - Yifan Zhong
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Yingze Li
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Tingting Wang
- Department of Thoracic Surgery, Shanghai
Pulmonary Hospital, School of Medicine, Tongji University, Shanghai,
People’s Republic of China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary
Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic
of China
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