1
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Burr R, Leshchiner I, Costantino CL, Blohmer M, Sundaresan T, Cha J, Seeger K, Guay S, Danysh BP, Gore I, Jacobs RA, Slowik K, Utro F, Rhrissorrakrai K, Levovitz C, Barth JL, Dubash T, Chirn B, Parida L, Sequist LV, Lennerz JK, Mino-Kenudson M, Maheswaran S, Naxerova K, Getz G, Haber DA. Developmental mosaicism underlying EGFR-mutant lung cancer presenting with multiple primary tumors. NATURE CANCER 2024:10.1038/s43018-024-00840-y. [PMID: 39406916 DOI: 10.1038/s43018-024-00840-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/10/2024] [Indexed: 10/30/2024]
Abstract
Although the development of multiple primary tumors in smokers with lung cancer can be attributed to carcinogen-induced field cancerization, the occurrence of multiple tumors at presentation in individuals with EGFR-mutant lung cancer who lack known environmental exposures remains unexplained. In the present study, we identified ten patients with early stage, resectable, non-small cell lung cancer who presented with multiple, anatomically distinct, EGFR-mutant tumors. We analyzed the phylogenetic relationships among multiple tumors from each patient using whole-exome sequencing (WES) and hypermutable poly(guanine) (poly(G)) repeat genotyping as orthogonal methods for lineage tracing. In four patients, developmental mosaicism, assessed by WES and poly(G) lineage tracing, indicates a common non-germline cell of origin. In two other patients, we identified germline EGFR variants, which confer moderately enhanced signaling when modeled in vitro. Thus, in addition to germline variants, developmental mosaicism defines a distinct mechanism of genetic predisposition to multiple EGFR-mutant primary tumors, with implications for their etiology and clinical management.
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Affiliation(s)
- Risa Burr
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | - Ignaty Leshchiner
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Boston University, Boston, MA, USA
| | - Christina L Costantino
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Martin Blohmer
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Tilak Sundaresan
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | - Justin Cha
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karsen Seeger
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | - Sara Guay
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | - Brian P Danysh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ira Gore
- Ascension St. Vincent's Birmingham, Birmingham, AL, USA
| | - Raquel A Jacobs
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kara Slowik
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - Jaimie L Barth
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Taronish Dubash
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | - Brian Chirn
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
| | | | - Lecia V Sequist
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shyamala Maheswaran
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kamila Naxerova
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gad Getz
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA.
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Daniel A Haber
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center and Harvard Medical School, Charlestown, MA, USA.
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Bethesda, MD, USA.
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2
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Xia T, Yuan Q, Xing SG. STAS: New explorations and challenges for thoracic surgeons. Clin Transl Oncol 2024:10.1007/s12094-024-03681-4. [PMID: 39230858 DOI: 10.1007/s12094-024-03681-4] [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: 05/03/2024] [Accepted: 08/20/2024] [Indexed: 09/05/2024]
Abstract
Spread through air spaces (STAS) represents a relatively novel concept in the pathology of lung cancer, and it specifically refers to the dissemination of tumour cells into the parenchymal air spaces adjacent to the primary tumour. In 2015, the World Health Organization (WHO) classified STAS as a new invasive form of lung adenocarcinoma (LUAD). Many studies investigated the role of STAS and revealed its association with the prognosis of LUAD and its influence on the outcomes of other malignant pulmonary neoplasms. Additionally, the underlying mechanisms and predictive models of STAS have received considerable attention in recent years. This paper provides a comprehensive overview of the research advancements and prospects of STAS by examining it from multiple perspectives.
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Affiliation(s)
- Teng Xia
- Department of Thoracic Surgery, Nan Jing Gaochun People's Hospital, The Gaochun Affiliated Hospital of Jiang Su University), Nanjing, 210000, Jiangsu, China
| | - Qian Yuan
- Department of Thoracic Surgery, Nan Jing Gaochun People's Hospital, The Gaochun Affiliated Hospital of Jiang Su University), Nanjing, 210000, Jiangsu, China
| | - Shi-Gui Xing
- Department of Thoracic Surgery, Nan Jing Gaochun People's Hospital, The Gaochun Affiliated Hospital of Jiang Su University), Nanjing, 210000, Jiangsu, China.
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Feng Y, Ding H, Huang X, Zhang Y, Lu M, Zhang T, Wang H, Chen Y, Mao Q, Xia W, Chen B, Zhang Y, Chen C, Gu T, Xu L, Dong G, Jiang F. Deep learning-based detection and semi-quantitative model for spread through air spaces (STAS) in lung adenocarcinoma. NPJ Precis Oncol 2024; 8:173. [PMID: 39103596 DOI: 10.1038/s41698-024-00664-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 07/25/2024] [Indexed: 08/07/2024] Open
Abstract
Tumor spread through air spaces (STAS) is a distinctive metastatic pattern affecting prognosis in lung adenocarcinoma (LUAD) patients. Several challenges are associated with STAS detection, including misdetection, low interobserver agreement, and lack of quantitative analysis. In this research, a total of 489 digital whole slide images (WSIs) were collected. The deep learning-based STAS detection model, named STASNet, was constructed to calculate semi-quantitative parameters associated with STAS density and distance. STASNet demonstrated an accuracy of 0.93 for STAS detection at the tiles level and had an AUC of 0.72-0.78 for determining the STAS status at the WSI level. Among the semi-quantitative parameters, T10S, combined with the spatial location information, significantly stratified stage I LUAD patients on disease-free survival. Additionally, STASNet was deployed into a real-time pathological diagnostic environment, which boosted the STAS detection rate and led to the identification of three easily misidentified types of occult STAS.
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Affiliation(s)
- Yipeng Feng
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Hanlin Ding
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Xing Huang
- Pathological Department of Jiangsu Cancer Hospital, Nanjing, P. R. China
| | - Yijian Zhang
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Mengyi Lu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Te Zhang
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Hui Wang
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Yuzhong Chen
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Qixing Mao
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Wenjie Xia
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Bing Chen
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
| | - Yi Zhang
- Pathological Department of Jiangsu Cancer Hospital, Nanjing, P. R. China
| | - Chen Chen
- School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Tianhao Gu
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
| | - Lin Xu
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Gaochao Dong
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China.
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China.
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China.
| | - Feng Jiang
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, 21009, Nanjing, China.
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Cancer Institute of Jiangsu Province, Nanjing, China.
- The Fourth Clinical College of Nanjing Medical University, Nanjing, China.
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Meng Y, Wang Y, Liu L, Wu R, Zhang Q, Chen Z, Yao Y, Li X, Gong Y, Li H, Wang Z, Liu H. Immunohistochemistry identifies E-cadherin, N-cadherin and focal adhesion kinase (FAK) as predictors of stage I non-small cell lung carcinoma spread through the air spaces (STAS), and the combinations as prognostic factors. Transl Lung Cancer Res 2024; 13:1450-1462. [PMID: 39118895 PMCID: PMC11304152 DOI: 10.21037/tlcr-24-247] [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: 03/13/2024] [Accepted: 06/11/2024] [Indexed: 08/10/2024]
Abstract
Background Spread through air spaces (STAS) is one of the multiple modes of lung cancer dissemination, yet its molecular and clinicopathological characterization remains poorly studied. This study aimed to investigate the effect of adhesion molecule expression levels on the incidence of STAS and postoperative recurrence in stage I lung cancer patients undergoing radical resection. Methods E-cadherin, P-cadherin, N-cadherin, focal adhesion kinase (FAK), epithelial cell adhesion molecule (EpCAM), neural cell adhesion molecule 1 (NCAM1), vascular cell adhesion molecule 1 (VCAM1), intercellular cell adhesion molecule-1 (ICAM-1) were analyzed retrospectively using immunohistochemistry in patients undergoing radical resection for stage I non-small cell lung cancer (NSCLC). Patients were categorized into four groups based on adhesion molecule expression levels: "low/low", "high/low", "low/high", and "high/high", and the group with the lowest recurrence-free probability (RFP) was defined as high risk. Associations between those adhesion molecules' expression levels and STAS were determined by using the Chi-squared test and logistic regression model. RFP was analyzed by using the log-rank test and Cox proportional risk model. Results As of January 1, 2024, 12 of 60 patients undergoing radical resection for stage I lung carcinoma had a disease recurrence. All 60 patients' tissue specimens were retrospectively analyzed, and there were no significant differences between patients with STAS-positive (n=30) and STAS-negative (n=30) in baseline clinicopathologic features, except for histological growth patterns. We found that low expression of E-cadherin, high expression of N-cadherin and FAK, and males were independent predictors of higher incidence of STAS. Multivariate Cox analysis showed that tumors with low E-cadherin/high N-cadherin, low E-cadherin/high FAK, and high N-cadherin/high FAK expression were important predictors of recurrence in patients with stage I lung carcinoma. In addition, females and high N-cadherin/high FAK were associated with a high risk of recurrence in patients with STAS. Conclusions E-cadherin, N-cadherin, and FAK are predictors of STAS occurrence in stage I NSCLC, and their combinations are prognostic factors. The discovery of these molecular markers provides clinicians with a reliable means that may help in the early identification of individuals with a higher risk of recurrence in lung cancer patients, targeting personalized treatment plans such as aggressive adjuvant therapy or closer follow-up.
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Affiliation(s)
- Yunchang Meng
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China
| | - Yimin Wang
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China
| | - Leilei Liu
- Department of Pathology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Ranpu Wu
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Southeast University School of Medicine, Nanjing, China
| | - Qingfeng Zhang
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhangxuan Chen
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yang Yao
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xinjing Li
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yanzhuo Gong
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huijuan Li
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Zhaofeng Wang
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Hongbing Liu
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
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Lee JH, Kang Y, Kim S, Jung Y, Chung JH, Lee S, Yi E. Clinical Importance of Grading Tumor Spread through Air Spaces in Early-Stage Small-Lung Adenocarcinoma. Cancers (Basel) 2024; 16:2218. [PMID: 38927923 PMCID: PMC11201625 DOI: 10.3390/cancers16122218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
This study aimed to identify the clinical manifestation and implications according to the grading of tumor spread through air spaces in early-stage small (≤2 cm) pathological stage I non-mucinous lung adenocarcinomas. Medical records of patients with pathological stage I tumors sized ≤2 cm were retrospectively reviewed and analyzed. The furthest distance of the spread through air spaces from the tumor margin was measured on a standard-length scale (mm). Enrolled patients were categorized into spread through air spaces (STAS) (-) and STAS (+), and STAS (+) was subdivided according to its furthest distance as follows: STAS (+)-L (<2 mm) and STAS (+)-H (≥2 mm). Risk factors for STAS (+) included papillary predominant subtype (p = 0.027), presence of micropapillary patterns (p < 0.001), and EGFR (p = 0.039). The overall survival of the three groups did not differ significantly (p = 0.565). The recurrence-free survival of STAS (+)-H groups was significantly lower than those of STAS (-) and STAS (+)-L (p < 0.001 and p = 0.039, respectively). A number of alveolar spaces were definite risk factors for STAS (+)-H groups (p < 0.001), and male gender could be one (p = 0.054). In the patient group with small (≤2 cm) pathological stage I lung adenocarcinomas, the presence of STAS ≥ 2 mm was related to significantly lower recurrence-free survival. For identifying definite risk factors for the presence of farther STAS, more precise analysis from a larger study population should be undertaken.
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Affiliation(s)
- Jeong Hyeon Lee
- Department of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (J.H.L.); (Y.K.); (S.K.)
| | - Younggjn Kang
- Department of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (J.H.L.); (Y.K.); (S.K.)
| | - Seojin Kim
- Department of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (J.H.L.); (Y.K.); (S.K.)
| | - Youggi Jung
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (Y.J.); (J.H.C.)
| | - Jae Ho Chung
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (Y.J.); (J.H.C.)
| | - Sungho Lee
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (Y.J.); (J.H.C.)
| | - Eunjue Yi
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea; (Y.J.); (J.H.C.)
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Suh YJ, Han K, Kwon Y, Kim H, Lee S, Hwang SH, Kim MH, Shin HJ, Lee CY, Shim HS. Computed Tomography Radiomics for Preoperative Prediction of Spread Through Air Spaces in the Early Stage of Surgically Resected Lung Adenocarcinomas. Yonsei Med J 2024; 65:163-173. [PMID: 38373836 PMCID: PMC10896671 DOI: 10.3349/ymj.2023.0368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/19/2023] [Accepted: 10/25/2023] [Indexed: 02/21/2024] Open
Abstract
PURPOSE To assess the added value of radiomics models from preoperative chest CT in predicting the presence of spread through air spaces (STAS) in the early stage of surgically resected lung adenocarcinomas using multiple validation datasets. MATERIALS AND METHODS This retrospective study included 550 early-stage surgically resected lung adenocarcinomas in 521 patients, classified into training, test, internal validation, and temporal validation sets (n=211, 90, 91, and 158, respectively). Radiomics features were extracted from the segmented tumors on preoperative chest CT, and a radiomics score (Rad-score) was calculated to predict the presence of STAS. Diagnostic performance of the conventional model and the combined model, based on a combination of conventional and radiomics features, for the diagnosis of the presence of STAS were compared using the area under the curve (AUC) of the receiver operating characteristic curve. RESULTS Rad-score was significantly higher in the STAS-positive group compared to the STAS-negative group in the training, test, internal, and temporal validation sets. The performance of the combined model was significantly higher than that of the conventional model in the training set {AUC: 0.784 [95% confidence interval (CI): 0.722-0.846] vs. AUC: 0.815 (95% CI: 0.759-0.872), p=0.042}. In the temporal validation set, the combined model showed a significantly higher AUC than that of the conventional model (p=0.001). The combined model showed a higher AUC than the conventional model in the test and internal validation sets, albeit with no statistical significance. CONCLUSION A quantitative CT radiomics model can assist in the non-invasive prediction of the presence of STAS in the early stage of lung adenocarcinomas.
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Affiliation(s)
- Young Joo Suh
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yonghan Kwon
- Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul, Korea
| | - Hwiyoung Kim
- Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Korea
| | - Suji Lee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Ho Hwang
- Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Myung Hyun Kim
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Hyun Joo Shin
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Chang Young Lee
- Thoracic and Cardiovascular Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo Sup Shim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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7
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Wang J, Yao Y, Tang D, Gao W. An individualized nomogram for predicting and validating spread through air space (STAS) in surgically resected lung adenocarcinoma: a single center retrospective analysis. J Cardiothorac Surg 2023; 18:337. [PMID: 37990253 PMCID: PMC10664312 DOI: 10.1186/s13019-023-02458-0] [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: 05/13/2023] [Accepted: 11/15/2023] [Indexed: 11/23/2023] Open
Abstract
OBJECTIVE A single-center study was conducted to explore the association between STAS and other clinical features in surgically resected adenocarcinoma to enhance our current understanding of STAS. METHODS We retrospectively enrolled patients with lung adenocarcinoma (n = 241) who underwent curative surgeries. Patients undergoing surgery in 2019 were attributed to the training group (n = 188) and those undergoing surgery in January 2022 to June 2022 were attributed to the validation (n = 53) group. Univariate and multivariate logistic regression analyses were used to identify predictive factors for STAS, which were used to construct a simple nomogram. Furthermore, ROC and calibration curves were used to evaluate the performance of the nomogram. In addition, we conducted decision curve analysis (DCA) to assess the clinical utility of this nomogram. RESULTS In our cohort, 52 patients were identified as STAS-positive (21.6%). In univariate analysis, STAS was significantly associated with age, surgical approach, CEA, CTR (Consolidation Tumor Ratio), TNM stage, tumor grade, gross tumor size, resection margin, vessel cancer embolus, pleural invasion, lymph node metastasis, high ki67 and positive PD-L1 staining (P < 0.05). Lower age, CTR > 0.75, vessel cancer embolus, high Ki67 and PD-L1 stain positive were significant predictors for STAS during multivariate logistics analysis. A simple nomogram was successfully constructed based on these five predictors. The AUC values of our nomogram for the probability of tumor STAS were 0.860 in the training group and 0.919 in the validation group. In addition, the calibration curve and DCA validated the good performance of this model. CONCLUSION A nomogram was successfully constructed to identify the presence of STAS in surgically resected lung adenocarcinoma patients.
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Affiliation(s)
- Jing Wang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200041, China
| | - Yuanshan Yao
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200041, China
| | - Dongfang Tang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200041, China
| | - Wen Gao
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200041, China.
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8
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Burr R, Leshchiner I, Costantino CL, Blohmer M, Sundaresan T, Cha J, Seeger K, Guay S, Danysh BP, Gore I, Jacobs RA, Slowik K, Utro F, Rhrissorrakrai K, Levovitz C, Barth JL, Dubash T, Chirn B, Parida L, Sequist LV, Lennerz JK, Mino-Kenudson M, Maheswaran S, Naxerova K, Getz G, Haber DA. Germline mutations and developmental mosaicism underlying EGFR-mutant lung cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.28.23296274. [PMID: 37808694 PMCID: PMC10557804 DOI: 10.1101/2023.09.28.23296274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
While the development of multiple primary tumors in smokers with lung cancer can be attributed to carcinogen-induced field cancerization, the occurrence of multiple primary tumors in individuals with EGFR-mutant lung cancer who lack known environmental exposures remains unexplained. We identified ten patients with early-stage, resectable non-small cell lung cancer who presented with multiple anatomically distinct EGFR-mutant tumors. We analyzed the phylogenetic relationships among multiple tumors from each patient using whole exome sequencing (WES) and hypermutable poly-guanine (poly-G) repeat genotyping, as orthogonal methods for lineage tracing. In two patients, we identified germline EGFR variants, which confer moderately enhanced signaling when modeled in vitro. In four other patients, developmental mosaicism is supported by the poly-G lineage tracing and WES, indicating a common non-germline cell-of-origin. Thus, developmental mosaicism and germline variants define two distinct mechanisms of genetic predisposition to multiple EGFR-mutant primary tumors, with implications for understanding their etiology and clinical management.
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Affiliation(s)
- Risa Burr
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Ignaty Leshchiner
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Christina L Costantino
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Martin Blohmer
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Justin Cha
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Karsen Seeger
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Sara Guay
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Brian P Danysh
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ira Gore
- St Vincent’s Hospital, Birmingham, AL, USA
| | - Raquel A Jacobs
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kara Slowik
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | - Jaimie L Barth
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Taronish Dubash
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Brian Chirn
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | | | - Lecia V Sequist
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shyamala Maheswaran
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kamila Naxerova
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gad Getz
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel A Haber
- Massachusetts General Hospital Cancer Center, Boston, MA, USA
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Bethesda, MD, USA
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FAN L, QIN J, LIN X, WU Y, HE Z, HE P. [Analysis of Clinicopathological Features on Spread Through Air Spaces
of Lung Adenocarcinoma]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2023; 26:650-658. [PMID: 37985151 PMCID: PMC10600750 DOI: 10.3779/j.issn.1009-3419.2023.106.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND The biological and molecular characteristics of spread through air spaces (STAS), a newly recognized invasive mode of lung cancer, remain controversial. The aim of this study was to investigate the clinicopathological features and molecular characteristics of STAS in patients with pulmonary adenocarcinoma. METHODS A total of 694 resected invasive non-mucinous lung adenocarcinomas diagnosed by clinicopathology from July 2019 to March 2021 in the First Affiliated Hospital of Guangzhou Medical University were collected, and the relationship between STAS and clinicopathological factors was analyzed. The state of protein expression of anaplastic lymphoma kinase (ALK) was detected by immunohistochemical method. Epidermal growth factor receptor (EGFR) was detected by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR). ROS proto-oncogene 1-receptor (ROS1) was detected by reverse transcription-PCR (RT-PCR). RESULTS A total of 344 STAS positive cases and 350 STAS negative cases were collected. By univariate analysis, STAS positivity was statistically associated with tumor maximum diameter (P<0.001), pleural invasion (P<0.001), lymphovascular invasion (P<0.001), nerve invasion (P=0.013), lymph node metastasis (P<0.001), clinical stage (P<0.001) and histological type (P<0.001). There was a statistical correlation between STAS and ALK protein expression (P=0.001). Multivariate analysis showed that STAS positive was correlated with pleural invasion (P=0.001), vascular invasion (P<0.001), lymph node metastasis (P=0.005)and ALK protein expression (P=0.032). CONCLUSIONS STAS is associated with highly aggressive biological behavior of lung adenocarcinoma, suggesting a poor prognosis.
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Ye R, Yu Y, Zhao R, Han Y, Lu S. Comprehensive molecular characterizations of stage I-III lung adenocarcinoma with tumor spread through air spaces. Front Genet 2023; 14:1101443. [PMID: 36816028 PMCID: PMC9932204 DOI: 10.3389/fgene.2023.1101443] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023] Open
Abstract
Purpose: The aim of this study is to investigate integrative genomic spectra of stage I-III lung adenocarcinoma with tumor spread through air spaces (STAS). Methods: We retrospectively identified 442 surgically resected lung adenocarcinoma patients of pathological stage I-III in Shanghai Chest Hospital from January 2018 to February 2021. Surgically resected tissues were used for next-generation sequencing (NGS) with a panel of 68 lung cancer-related genes to profile comprehensive molecular characterizations. Results: A total of 442 cases were analyzed, including 221 (50%) STAS-positive (SP) and 221 (50%) STAS-negative (SN) lung adenocarcinoma patients. In total, 440 cases (99.6%) were positive for the overall mutational spectrum, and the higher mutational genes were EGFR, TP53, KRAS, ALK, SMAD4, and ERBB2 (62%, 42%, 14%, 10%, 7%, and 7%, respectively). Compared with the SN population, there was significantly lower EGFR alteration in the single-nucleotide variant (SNV) mutation spectrum (52.5% vs 69.7%, p < 0.001) and significantly higher TP53 alteration in the SP population (49.8% vs 34.8%, p = 0.002). EGFR L858R missense mutation (19.5% vs 37.6%, p < 0.001) and ERBB2 exon 20 indel mutation (1.8% vs 5.9%, p = 0.045) were more frequent in the SN population. The detection rate of ALK fusion rearrangements in the SP population was significantly higher than that in the SN population (13.1% vs 2.3%, p < 0.001). In the analysis of signaling pathways, no significant difference was discovered between SP and SN patients. No difference in 1-year disease-free survival was observed between SP and SN patients in this study. Conclusion: Significant differences exist in stage I-III lung adenocarcinoma patients with STAS in molecular characterizations.
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Affiliation(s)
- Ronghao Ye
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yongfeng Yu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ruiying Zhao
- Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yuchen Han
- Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shun Lu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Shun Lu,
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11
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Wang Y, Chang I, Chen C, Hsia J, Lin FC, Chao W, Ke T, Chen Y, Chen C, Hsieh M, Huang S. Challenges of the eighth edition of the American Joint Committee on Cancer staging system for pathologists focusing on early stage lung adenocarcinoma. Thorac Cancer 2023; 14:592-601. [PMID: 36594111 PMCID: PMC9968598 DOI: 10.1111/1759-7714.14785] [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: 10/16/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The eighth edition of the American Joint Committee on Cancer (AJCC) staging system for lung cancer adopts new criteria for tumor size, and for determining pTis, pT1a(mi), and pT1a. The latter is based on the size of stromal invasion. It is quite challenging for lung pathologists. METHODS All patients who had undergone surgical resection for pulmonary adenocarcinoma (ADC) at Chung Shan Medical University Hospital between January 2014 and April 2018 were reviewed, and restaged according to the eighth AJCC staging system. The clinical characteristics and survival of patients with tumor stage 0 (pTis), I or II were analyzed. RESULTS In total, 376 patients were analyzed. None of the pTis, pT1a(mi), or pT1a tumors recurred during the follow-up period up to 5 years, but pT1b, pT1c, pT2a, and pT2b tumors all had a few tumor recurrences (p < 0.0001). In addition, 95.2%, 100%, and 77.5% of pTis, pT1a(mi), and pT1a tumors, respectively, had tumor sizes ≤1.0 cm by gross examination. All pTis, pT1a(mi), and pT1a tumors exhibited only lepidic, acinar, or papillary patterns histologically. CONCLUSIONS This study demonstrated excellent survival for lung ADC patients with pTis, pT1a(mi), and pT1a tumors when completely excised. To reduce the inconsistencies between pathologists, staging lung ADC with tumors of ≤1 cm in size grossly as pTis, pT1a(mi), or pT1a may not be necessary when the tumors exhibit only lepidic, acinar, or papillary histological patterns. A larger cohort study with sufficient follow-up data is necessary to support this proposal.
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Affiliation(s)
- Yu‐Ting Wang
- Department of Anatomical PathologyChung Shan Medical University HospitalTaichungTaiwan
| | - Il‐Chi Chang
- Institute of Molecular and Genomic MedicineNational Health Research InstitutesMiaoliTaiwan
| | - Chih‐Yi Chen
- Department of Thoracic SurgeryChung Shan Medical University HospitalTaichungTaiwan
| | - Jiun‐Yi Hsia
- Department of Thoracic SurgeryChung Shan Medical University HospitalTaichungTaiwan
| | - Frank Cheau‐Feng Lin
- Department of Thoracic SurgeryChung Shan Medical University HospitalTaichungTaiwan
| | - Wan‐Ru Chao
- Department of Anatomical PathologyChung Shan Medical University HospitalTaichungTaiwan
| | - Tuan‐Ying Ke
- Department of Anatomical PathologyChung Shan Medical University HospitalTaichungTaiwan
| | - Ya‐Ting Chen
- Institute of Molecular and Genomic MedicineNational Health Research InstitutesMiaoliTaiwan
| | - Chih‐Jung Chen
- Department of Pathology and Laboratory MedicineTaichung Veterans General HospitalTaichungTaiwan
| | - Min‐Shu Hsieh
- Department of PathologyNational Taiwan University HospitalTaipeiTaiwan
| | - Shiu‐Feng Huang
- Department of Anatomical PathologyChung Shan Medical University HospitalTaichungTaiwan,Institute of Molecular and Genomic MedicineNational Health Research InstitutesMiaoliTaiwan
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12
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Shimomura M, Miyagawa-Hayashino A, Omatsu I, Asai Y, Ishihara S, Okada S, Konishi E, Teramukai S, Inoue M. Spread through air spaces is a powerful prognostic predictor in patients with completely resected pathological stage I lung adenocarcinoma. Lung Cancer 2022; 174:165-171. [PMID: 36413883 DOI: 10.1016/j.lungcan.2022.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 10/17/2022] [Accepted: 11/12/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE To evaluate the frequency of spread through air spaces (STAS) in patients with early-stage primary lung cancer and to elucidate the association between STAS and various clinicopathological factors. METHODS We retrospectively reviewed data from a total of 265 consecutive patients who underwent lobectomy and mediastinal lymph node dissection (172 patients) or sublobar resection (93 patients) for completely resected pathological stage I lung adenocarcinoma. We evaluated clinical variables, including the preoperative serum carcinoembryonic antigen (CEA) level, tumour size, consolidation tumour ratio (CTR), maximum standardized uptake value (SUVmax) on FDG-PET, histological results, presence of STAS and vascular and lymphatic invasion. RESULTS The median follow-up time after surgery was 49 months. Eighty-seven patients (32.8 %) had STAS. The overall survival rates of patients in the STAS-positive and STAS-negative groups were 92.7 % and 97.1 % at 3 years, respectively (p = 0.1255), and the recurrence-free survival rates were 82.1 % and 95.9 % at 3 years, respectively (p = 0.0001). STAS was found in 73 patients (42.4 %) in the lobectomy group, which was a significantly higher proportion than the 14 patients (15.1 %) in the sublobar resection group. The STAS-positive group had significantly larger areas of invasion, higher CTRs, preoperative CEA and SUVmax levels, and more lymphatic and vascular invasion. STAS also correlated significantly with large consolidation sizes, larger invasive size, higher CTRs and the presence of a micropapillary pattern. Cox regression analysis after adjustment for important prognostic factors revealed that the presence of STAS was an independent predictor associated with postoperative recurrence, most of which was observed locoregionally. CONCLUSIONS STAS was an independent factor associated with postoperative recurrence after lung resection for stage I lung adenocarcinoma. Among stage IA patients, the postoperative outcomes of STAS-positive patients were worse than those of STAS-negative patients and were similar to those of stage IB patients.
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Affiliation(s)
- Masanori Shimomura
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
| | - Aya Miyagawa-Hayashino
- Department of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ikoi Omatsu
- Department of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yumi Asai
- Department of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Shunta Ishihara
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoru Okada
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Eiichi Konishi
- Department of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoshi Teramukai
- Department of Biostatistics, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masayoshi Inoue
- Division of Thoracic Surgery, Department of Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Retrospective analysis of the prognostic implications of tumor spread through air spaces in lung adenocarcinoma patients treated with surgery. ESMO Open 2022; 7:100568. [PMID: 36007450 PMCID: PMC9588883 DOI: 10.1016/j.esmoop.2022.100568] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 11/22/2022] Open
Abstract
Background Tumor spread through air spaces (STAS) in lung adenocarcinoma is a novel mechanism of invasion. STAS has been proposed as an independent predictor of poor prognosis. The aim of this study was to evaluate the correlations between STAS status and other clinicopathologic variables and to assess the prognostic implications of STAS and the distance from the edge of the tumor to the farthest STAS in patients with resected lung adenocarcinoma. Material and methods This is a single-institution retrospective observational study. We included all patients with resected lung adenocarcinoma from January 2017 to December 2018 at La Paz University Hospital. The cut-off for the distance from the edge of the tumor to the farthest STAS was 1.5 mm and was assessed by the area under the receiver operating characteristic curve. Results A total of 73 patients were included. STAS was found in 52 patients (71.2%). Histological grade 3 (P = 0.035) and absence of lepidic pattern (P = 0.022) were independently associated with the presence of STAS. The median recurrence-free survival (RFS) was 48.06 months [95% confidence interval (CI) 33.58 months to not reached]. STAS-positive patients had shorter median RFS [39.23 months (95% CI 29.34-49.12 months)] than STAS-negative patients (not reached) (P = 0.04). STAS-positive patients with a distance from the edge of the tumor to the farthest STAS ≥1.5 mm had an even shorter median RFS [37.63 months (95% CI 28.14-47.11 months)]. For every 1 mm increase in distance, the risk of mortality increased by 1.26 times (P = 0.04). Conclusions Histological grade 3 and absence of lepidic pattern were independently associated with the presence of STAS. STAS was associated with a higher risk of recurrence. The distance from the edge of the tumor to the farthest STAS also had an impact on overall survival. Lung adenocarcinoma patients with STAS had higher risk of recurrence. Patients with STAS and a distance from the edge of the tumor to the farthest STAS ≥1.5 mm had an even shorter RFS. The distance from the edge of the tumor to the farthest STAS also had an impact on overall survival.
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14
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Wang S, Shou H, Wen H, Wang X, Wang H, Lu C, Gu J, Xu F, Zhu Q, Wang L, Ge D. An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer. BMC Pulm Med 2022; 22:209. [PMID: 35619108 PMCID: PMC9137206 DOI: 10.1186/s12890-022-02002-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 05/19/2022] [Indexed: 11/10/2022] Open
Abstract
Background Tumor spread through air spaces (STAS) has been shown to adversely affect the prognosis of lung cancer. The correlation between clinicopathological and genetic features and STAS remains unclear. Method We retrospectively reviewed 3075 NSCLC patients between2017-2019. We evaluated the relationship between STAS and patients’ clinicopathological and molecular features. The chi-square test was performed to compare categorical variables. Univariate analysis and multivariate logistic regression analysis were performed to investigate the association of clinical factors with STAS. A nomogram was formulated to predict the presence of STAS. Results STAS was identified in 617 of 3075 patients (20.07%). STAS was significantly related to sex (p < 0.001), smoking (p < 0.001), CEA (p < 0.001), differentiation (p < 0.001), histopathological type (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p < 0.001), T stage (p < 0.001), N stage (p < 0.001), M stage (p < 0.001), and TNM stage (p < 0.001). STAS was frequently found in tumors with wild-type EGFR (p < 0.001), KRAS mutations (p < 0.001), ALK rearrangements (p < 0.001) or ROS1 rearrangements (p < 0.001). For programmed death-1 (PD-1)/programmed death ligand-1 (PD-L1), STAS was associated with PD-L1 expression level in tumor cells (p < 0.001) or stromal cells (p < 0.001), while PD-1 only in stromal cells (p < 0.001). Multivariable analyses demonstrated significant correlations between STAS and CEA level (p < 0.001), pathological grade (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p = 0.001), and TNM stage (p = 0.002). A nomogram was formulated based on the results of the multivariable analysis. Conclusions Tumor STAS was associated with several invasive clinicopathological features. A nomogram was established to predict the presence of STAS in patients with NSCLC. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-02002-1.
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Affiliation(s)
- Shuai Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Huankai Shou
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Haoyu Wen
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Xingxing Wang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Haixing Wang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Chunlai Lu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Jie Gu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Fengkai Xu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Qiaoliang Zhu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Lin Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China
| | - Di Ge
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 20032, China.
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15
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Dagher S, Sulaiman A, Bayle-Bleuez S, Tissot C, Grangeon-Vincent V, Laville D, Fournel P, Tiffet O, Forest F. Spread Through Air Spaces (STAS) Is an Independent Prognostic Factor in Resected Lung Squamous Cell Carcinoma. Cancers (Basel) 2022; 14:cancers14092281. [PMID: 35565410 PMCID: PMC9101151 DOI: 10.3390/cancers14092281] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/25/2022] [Accepted: 04/30/2022] [Indexed: 02/01/2023] Open
Abstract
Objective: There is no histoprognostic grading for lung squamous cell carcinoma (LUSC). Different prognostic factors have been described in the recent literature and are not always studied in parallel. Our objective was to search for morphological histopathological prognostic factors in LUSC. Materials and Methods: In this single-center retrospective study of 241 patients, all patients with LUSC who underwent surgical excision over a 12-year period were included. The primary endpoint was 5-year overall survival. Results: STAS was present in 86 (35.7%) patients. The presence of Spread Through Air Spaces (STAS) was correlated with tumor location (p < 0.001), pathological stage (p = 0.039), tumor differentiation (p = 0.029), percentage of necrosis (p = 0.004), presence of vascular and/or lymphatic emboli, budding (p = 0.02), single cell invasion (p = 0.002) and tumor nest size (p = 0.005). The percentage of tumor necrosis was correlated with the overall survival at 5 years: 44.6% of patients were alive when the percentage of necrosis was ≥50%, whereas 68.5% were alive at 5 years when the necrosis was <30% (p < 0.001). When vasculolymphatic emboli were present, the percentage of survival at 5 years was 42.5% compared to 65.5% when they were absent (p = 0.002). The presence of isolated cell invasion was correlated with a lower 5-year survival rate: 51.1% in the case of presence, versus 66% in the case of absence (p = 0.02). In univariate analysis, performance status, pathological stage pT or pN, pleural invasion, histopathological subtype, percentage of tumor necrosis, vasculolymphatic invasion, single-cell invasion, budding and tumor nest size correlated with the percentage of survival at 5 years. On multivariate analysis, only STAS > 3 alveoli (HR, 2.74; 95% CI, 1.18−6.33) was related to overall survival. Conclusion: In conclusion, extensive STAS is an independent factor of poor prognosis in LUSC. STAS is correlated with the presence of other poor prognostic factors such as emboli and pleural invasion and would reflect greater tumor aggressiveness.
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Affiliation(s)
- Sami Dagher
- Department of Pathology, University Hospital of Saint Etienne, 42055 Saint Etienne, France; (S.D.); (D.L.)
| | - Abdulrazzaq Sulaiman
- Department of Thoracic Surgery, University Hospital of Saint Etienne, 42055 Saint Etienne, France; (A.S.); (O.T.)
| | - Sophie Bayle-Bleuez
- Department of Pneumology, University Hospital of Saint Etienne, 42055 Saint Etienne, France;
| | - Claire Tissot
- Lucien Neuwirth Cancer Institute, 42271 Saint Etienne, France; (C.T.); (P.F.)
| | | | - David Laville
- Department of Pathology, University Hospital of Saint Etienne, 42055 Saint Etienne, France; (S.D.); (D.L.)
| | - Pierre Fournel
- Lucien Neuwirth Cancer Institute, 42271 Saint Etienne, France; (C.T.); (P.F.)
| | - Olivier Tiffet
- Department of Thoracic Surgery, University Hospital of Saint Etienne, 42055 Saint Etienne, France; (A.S.); (O.T.)
| | - Fabien Forest
- Department of Pathology, University Hospital of Saint Etienne, 42055 Saint Etienne, France; (S.D.); (D.L.)
- Department of Molecular Biology of Solid Tumors, University Hospital of Saint Etienne, 42055 Saint Etienne, France
- Correspondence: ; Tel.: +33-(0)-477-127-734
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16
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Pyo JS, Kim NY. Clinicopathological Impact of the Spread through Air Space in Non-Small Cell Lung Cancer: A Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12051112. [PMID: 35626268 PMCID: PMC9139777 DOI: 10.3390/diagnostics12051112] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/23/2022] [Accepted: 04/26/2022] [Indexed: 11/30/2022] Open
Abstract
This study aimed to elucidate the clinicopathological significance of spread through air space (STAS) in non-small cell lung cancer (NSCLC) through a meta-analysis. Using 47 eligible studies, we obtained the estimated rates of STAS in various histological subtypes of NSCLC and compared the clinicopathological characteristics and prognosis between NSCLC with and without STAS. The estimated STAS rate was 0.368 (95% confidence interval [CI], 0.336–0.0.401) in patients with NSCLC. Furthermore, the STAS rates for squamous cell carcinoma and adenocarcinoma were 0.338 (95% CI, 0.273–0.411) and 0.374 (95% CI, 0.340–0.409), respectively. Among the histological subtypes of adenocarcinoma, micropapillary-predominant tumors had the highest rate of STAS (0.719; 95% CI, 0.652–0.778). The STAS rates of solid- and papillary-predominant adenocarcinoma were 0.567 (95% CI, 0.478–0.652) and 0.446 (95% CI, 0.392–0.501), respectively. NSCLCs with STAS showed a higher visceral pleural, venous, and lymphatic invasion than those without STAS. In addition, anaplastic lymphoma kinase mutations and ROS1 rearrangements were significantly more frequent in NSCLCs with STAS than in those without STAS. The presence of STAS was significantly correlated with worse overall and recurrence-free survival (hazard ratio, 2.119; 95% CI, 1.811–2.480 and 2.372; 95% CI, 2.018–2.788, respectively). Taken together, the presence of STAS is useful in predicting the clinicopathological significance and prognosis of patients with NSCLC.
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Affiliation(s)
- Jung-Soo Pyo
- Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Gyeonggi-do, Korea;
| | - Nae Yu Kim
- Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Gyeonggi-do, Korea
- Correspondence: ; Tel.: +82-31-951-2281
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Huang L, Tang L, Dai L, Shi Y. The prognostic significance of tumor spread through air space in stage I lung adenocarcinoma. Thorac Cancer 2022; 13:997-1005. [PMID: 35174646 PMCID: PMC8977166 DOI: 10.1111/1759-7714.14348] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 12/25/2022] Open
Abstract
AIM There are still patients of stage I lung adenocarcinoma (ADC) suffering from local or distant recurrence. Herein we conducted a meta-analysis to investigate the prognostic value of tumor spread through air space (STAS), a new form of invasion pattern, in patients with pathologically confirmed stage I lung ADC. METHODS Related literature was searched using PubMed, Embase, Cochrane Library, and Web of Science databases from the inception dates to September 4, 2021. Recurrence-free survival (RFS) and overall survival (OS) were set as primary outcome endpoints. In addition, subgroup analyses on operation mode, edition of the American Joint Committee on Cancer TNM staging, sample size, and research regions were also investigated. RESULTS A total of 17 studies involving 9785 patients were included. The presence of STAS was detected in 31.2% of patients and was associated with poor RFS (adjusted hazard ratio [HR] = 1.93, p < 0.001) and OS (HR = 2.02, p < 0.001). In subgroup analysis on operation mode, the prognostic value of STAS was prominently shown in patients who underwent limited resection (RFS: HR = 3.58, p < 0.001; OS: HR = 3.37, p < 0.001), while for patients who underwent lobectomy, adverse impact of STAS on RFS was observed (HR = 1.60, p = 0.019), but no significant difference was observed on OS (HR = 1.56, p = 0.061). The results fluctuated in different regions while other factors did not alter the independent predictive value of STAS. CONCLUSION Tumor STAS should be considered as an adverse prognostic indicator for patients with stage I lung ADC, especially for those under limited resection. More intensive medical care for those patients needs to be investigated in further studies.
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Affiliation(s)
- Liling Huang
- Department of Medical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsBeijingChina
| | - Le Tang
- Department of Medical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsBeijingChina
| | - Liyuan Dai
- Department of Clinical LaboratoryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsBeijingChina
| | - Yuankai Shi
- Department of Medical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted DrugsBeijingChina
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Fan L, He P. [Research Progress on Spread Through Air Spaces of Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:54-60. [PMID: 34937151 PMCID: PMC8796127 DOI: 10.3779/j.issn.1009-3419.2021.101.49] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The concept of spread through air spaces (STAS) was first proposed in the World Health Organization (WHO) Classification of Tumors of the Lung, Pleura, Thymus and Heart (version 2015). STAS is defined as the micropapillary clusters, solid nests or single cells of tumor that exist in the air spaces of the surrounding lung parenchyma beyond the edge of the main tumor. Meanwhile, apart from the traditional invasion modes of lung adenocarcinoma (interstitial, visceral pleura and lym-phovascular invasion), STAS has been identified as the fourth invasion mode of lung adenocarcinoma. In recent years, the research on STAS has been a hot spot in the field of lung adenocarcinoma. The existence of STAS is related to lung cancer histopathology, gene mutation and other factors, and many studies have also confirmed that it can be used as an independent factor for tumor recurrence and prognosis. However, according to some studies, human factors can cause morphological artifacts of STAS, which still needs to be distinguished in clinical work. This paper reviews the research progress of STAS classification, related pathological features, genetic status changes, and human factors that may cause STAS artifacts.
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Affiliation(s)
- Lei Fan
- Department of Pathology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Ping He
- Department of Pathology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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Spread through air spaces positivity and extent of resection in patients with Stage I non-small cell lung cancer: A contemporary review. TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY 2022; 30:141-144. [PMID: 35444847 PMCID: PMC8990146 DOI: 10.5606/tgkdc.dergisi.2022.21284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 02/28/2021] [Indexed: 11/21/2022]
Abstract
The concept of spread through air spaces is a type of cancer spread that is unique to lung and may be established as a criterion for invasion. It is a potential risk factor for recurrence and poor prognosis in patients with early-stage non-small cell lung cancer. This review provides a contemporary overview on recent data in this field and aim to help surgeons to decide the extent of resection according to patients" spread through air spaces status.
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Ikeda T, Kadota K, Go T, Haba R, Yokomise H. Current status and perspectives of spread through air spaces in lung cancer. Thorac Cancer 2021; 12:1639-1646. [PMID: 33951312 PMCID: PMC8169306 DOI: 10.1111/1759-7714.13918] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/16/2021] [Accepted: 02/16/2021] [Indexed: 12/17/2022] Open
Abstract
According to the World Health Organization classification of 2015, spread through air spaces (STAS) is a newly recognized pattern of invasion in lung adenocarcinoma. Many researchers have reported that STAS is recognized in all histological subtypes, and there is a strong association between STAS and prognosis in lung cancer. However, there are several technical issues associated with STAS, such as distinction between the actual in vivo phenomenon and an artifact, difficulty in assessing STAS in frozen specimens, and establishing the relationship between morphological and molecular properties of STAS. This review focuses on the current state of knowledge and the outlook of the STAS phenomenon from the perspective of surgeons, pathologists, and radiologists.
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Affiliation(s)
- Toshihiro Ikeda
- Department of General Thoracic Surgery, Breast and Endocrinological Surgery, Faculty of Medicine, Kagawa University, Takamatsu, Japan
| | - Kyuichi Kadota
- Department of Diagnostic Pathology, Faculty of Medicine, Kagawa University, Takamatsu, Japan
| | - Tetsuhiko Go
- Department of General Thoracic Surgery, Breast and Endocrinological Surgery, Faculty of Medicine, Kagawa University, Takamatsu, Japan
| | - Reiji Haba
- Department of Diagnostic Pathology, Faculty of Medicine, Kagawa University, Takamatsu, Japan
| | - Hiroyasu Yokomise
- Department of General Thoracic Surgery, Breast and Endocrinological Surgery, Faculty of Medicine, Kagawa University, Takamatsu, Japan
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Ikeda T, Kadota K, Yoshida C, Ishikawa R, Go T, Haba R, Yokomise H. The epithelial-mesenchymal transition phenotype is associated with the frequency of tumor spread through air spaces (STAS) and a High risk of recurrence after resection of lung carcinoma. Lung Cancer 2021; 153:49-55. [PMID: 33454517 DOI: 10.1016/j.lungcan.2021.01.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 12/27/2020] [Accepted: 01/02/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVES The prognostic value of spread through air spaces (STAS) in lung carcinoma has been validated in independent cohorts. Epithelial-mesenchymal transition (EMT) is a biological process that promotes the migration and invasiveness of tumor cells. To investigate the role of the EMT phenotype in the occurrence of STAS, we analyzed patients with therapy-naive lung adenocarcinoma and squamous cell carcinoma undergoing lobectomy (n = 635). MATERIALS AND METHODS STAS was defined by the presence of tumor cells within air spaces in the lung parenchyma beyond the edge of the main tumor. The expression of E-cadherin, vimentin, and ®-catenin was evaluated by immunohistochemistry using tissue microarray. Tumors were classified into three EMT phenotypes (epithelial, intermediate, and mesenchymal). Recurrence-free probability and overall survival were analyzed using the log-rank test and the Cox proportional hazards model. RESULTS STAS was less frequently observed in tumors with epithelial phenotype than in those with non-epithelial phenotype (p = 0.034), and more frequent in patients with nuclear β-catenin-positive tumors (p < 0.001). The EMT phenotype was an independent prognostic factor of recurrence (mesenchymal vs. epithelial: hazard ratio [HR] = 2.27, p = 0.014; mesenchymal vs. intermediate: HR = 2.13, p = 0.019). CONCLUSION We have demonstrated that in patients with resected lung carcinoma, STAS was less frequent in tumors with an epithelial phenotype than in those with non-epithelial phenotype, and that the nuclear translocation of β-catenin was associated with a higher rate of STAS. The mesenchymal state was an independent predictor of high risk of recurrence in patients with STAS.
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Affiliation(s)
- Toshihiro Ikeda
- Department of General Thoracic Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa, 761-0793, Japan
| | - Kyuichi Kadota
- Department of Diagnostic Pathology, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa 761-0793, Japan.
| | - Chihiro Yoshida
- Department of General Thoracic Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa, 761-0793, Japan
| | - Ryou Ishikawa
- Department of Diagnostic Pathology, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa 761-0793, Japan
| | - Tetsuhiko Go
- Department of General Thoracic Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa, 761-0793, Japan
| | - Reiji Haba
- Department of Diagnostic Pathology, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa 761-0793, Japan
| | - Hiroyasu Yokomise
- Department of General Thoracic Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kagawa, 761-0793, Japan
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