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Eguchi T, Matsuoka S, Iwaya M, Kobayashi S, Seshimoto M, Mishima S, Hara D, Kumeda H, Miura K, Hamanaka K, Uehara T, Shimizu K. Improving intraoperative diagnosis of spread through air spaces: A cryo-embedding-medium inflation method for frozen section analysis. JTCVS Tech 2024; 25:170-176. [PMID: 38899076 PMCID: PMC11184482 DOI: 10.1016/j.xjtc.2024.02.014] [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: 09/03/2023] [Revised: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 06/21/2024] Open
Abstract
Objective Accurate intraoperative diagnosis of spread through air spaces (STAS), a known poor prognostic factor in lung cancer, is crucial for guiding surgical decision-making during sublobar resections. This study aimed to evaluate the diagnostic sensitivity of STAS using frozen section (FS) slides prepared with the cryo-embedding medium inflation technique. Methods In this prospective study at Shinshu University Hospital, 99 patients undergoing lung resection for tumors <3 cm in size were included, a total of 114 lesions. FS slides were prepared with injecting diluted cryo-embedding medium into the lung parenchyma of resected specimens. The diagnostic performance of these FS slides for STAS detection was evaluated by comparing FS-STAS results with the gold-standard STAS status. Results The incidence of STAS, determined by the gold standard, was 43 (38%) of 114 lesions, including 31 (37%) of 84 primary lung cancers and 12 (40%) of 30 metastatic lung tumors. The sensitivity, specificity, positive and negative predictive values, and accuracy of FS slides for STAS detection were 81%, 89%, 81%, 89%, and 86%, respectively. Specifically, in primary lung cancers, these values were 90%, 89%, 82%, 94%, and 89%, respectively. Regarding metastatic lung tumors, the corresponding values were 58%, 89%, 78%, 76%, and 77%, respectively. Conclusions Our adapted cryo-embedding medium inflation method has demonstrated enhanced sensitivity in detecting STAS on FS slides, providing results similar to the gold-standard STAS detection. Compared with historical benchmarks, this technique could show excellent performance and be readily incorporated into clinical practice without requiring additional resources beyond those used for standard FS analysis.
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Affiliation(s)
- Takashi Eguchi
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Shunichiro Matsuoka
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Mai Iwaya
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Japan
| | - Shota Kobayashi
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Japan
| | - Maho Seshimoto
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Shuji Mishima
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Daisuke Hara
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Hirotaka Kumeda
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Kentaro Miura
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Kazutoshi Hamanaka
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
| | - Takeshi Uehara
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Japan
| | - Kimihiro Shimizu
- Division of General Thoracic Surgery, Department of Surgery, Shinshu University Hospital, Matsumoto, Japan
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Liu BC, Ma HY, Huang J, Luo YW, Zhang WB, Deng WW, Liao YT, Xie CM, Li Q. Does dual-layer spectral detector CT provide added value in predicting spread through air spaces in lung adenocarcinoma? A preliminary study. Eur Radiol 2024; 34:4176-4186. [PMID: 37973632 DOI: 10.1007/s00330-023-10440-6] [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: 06/10/2023] [Revised: 08/29/2023] [Accepted: 10/03/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES To examine the predictive value of dual-layer spectral detector CT (DLCT) for spread through air spaces (STAS) in clinical lung adenocarcinoma. METHODS A total of 225 lung adenocarcinoma cases were retrospectively reviewed for demographic, clinical, pathological, traditional CT, and spectral parameters. Multivariable logistic regression analysis was carried out based on three logistic models, including a model using traditional CT features (traditional model), a model using spectral parameters (spectral model), and an integrated model combining traditional CT and spectral parameters (integrated model). Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were performed to assess these models. RESULTS Univariable analysis showed significant differences between the STAS and non-STAS groups in traditional CT features, including nodule density (p < 0.001), pleural indentation types (p = 0.006), air-bronchogram sign (p = 0.031), the presence of spiculation (p < 0.001), long-axis diameter of the entire nodule (LD) (p < 0.001), and consolidation/tumor ratio (CTR) (p < 0.001). Multivariable analysis revealed that LD > 20 mm (odds ratio [OR] = 2.271, p = 0.025) and CTR (OR = 24.208, p < 0.001) were independent predictors in the traditional model, while electronic density (ED) in the venous phase was an independent predictor in the spectral (OR = 1.062, p < 0.001) and integrated (OR = 1.055, p < 0.001) models. The area under the curve (AUC) for the integrated model (0.84) was the highest (spectral model, 0.83; traditional model, 0.80), and the difference between the integrated and traditional models was statistically significant (p = 0.015). DCA showed that the integrated model had superior clinical value versus the traditional model. CONCLUSIONS DLCT has added value for STAS prediction in lung adenocarcinoma. CLINICAL RELEVANCE STATEMENT Spectral CT has added value for spread through air spaces prediction in lung adenocarcinoma so may impact treatment planning in the future. KEY POINTS • Electronic density may be a potential spectral index for predicting spread through air spaces in lung adenocarcinoma. • A combination of spectral and traditional CT features enhances the performance of traditional CT for predicting spread through air spaces.
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Affiliation(s)
- Bao-Cong Liu
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Hui-Yun Ma
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Jin Huang
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ying-Wei Luo
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Wen-Biao Zhang
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Wei-Wei Deng
- Clinical & Technical Support, Philips Healthcare, Shanghai, People's Republic of China
| | - Yu-Ting Liao
- Clinical & Technical Support, Philips Healthcare, Shanghai, People's Republic of China
| | - Chuan-Miao Xie
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
| | - Qiong Li
- State Key Laboratory of Oncology in South China, Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
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Nicotra S, Melan L, Pezzuto F, Bonis A, Silvestrin S, Verzeletti V, Cannone G, Rebusso A, Comacchio GM, Schiavon M, Dell'Amore A, Calabrese F, Rea F. Significance of Spread Through Air Spaces and Vascular Invasion in Early-stage Adenocarcinoma Survival: A Comprehensive Clinicopathologic Study of 427 Patients for Precision Management. Am J Surg Pathol 2024; 48:605-614. [PMID: 38441164 DOI: 10.1097/pas.0000000000002199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024]
Abstract
Spread through air spaces (STAS) is a novel invasive pattern of lung cancer associated with poor prognosis in non-small cell cancer (NSCLC). We aimed to investigate the incidence of STAS in a surgical series of adenocarcinomas (ADCs) resected in our thoracic surgery unit and to identify the association of STAS with other clinicopathological characteristics. We retrospectively enrolled patients with stage cT1a-cT2b who underwent resection between 2016 and 2022. For each case, a comprehensive pathologic report was accessible which included histotype, mitoses, pleural invasion, fibrosis, tumor infiltrating lymphocytes, necrosis, inflammation, vascular and perineural invasion, as well as STAS. PD-L1 expression was also investigated. A total of 427 patients with ADCs underwent surgery. Regarding overall survival (OS), no significant difference was observed between the STAS positive (STAS+) and STAS negative (STAS-) groups ( P =0.44). However, vascular invasion (VI) was associated with a poorer survival probability ( P =0.018). STAS+/VI+ patients had tendentially worse survival compared with STAS+/VI- ( P =0.089). ADCs with pathologic evidence of immune system (IS) activation (TILs>10% and PD-L1≥1) demonstrated significantly increased OS compared with ADCs with no IS and VI. In terms of recurrence rate, no statistical differences were found between the STAS+ and STAS- samples ( P =0.2). VI was also linked to a significantly elevated risk of recurrence ( P =0.0048). Our study suggests that in resected early-stage ADCs, STAS+ does not seem to influence recurrence or mortality. VI was instead an adverse pathologic prognostic factor for both survival and recurrence, whereas IS seemed to be protective.
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Affiliation(s)
| | | | - Federica Pezzuto
- Pathology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | | | | | | | | | | | | | | | | | - Fiorella Calabrese
- Pathology Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
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Yamamoto M, Tamura M, Miyazaki R, Okada H, Wada N, Toi M, Murakami I. Mean computed tomography value to predict spread through air spaces in clinical N0 lung adenocarcinoma. J Cardiothorac Surg 2024; 19:260. [PMID: 38654352 PMCID: PMC11036729 DOI: 10.1186/s13019-024-02612-2] [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: 09/20/2023] [Accepted: 03/05/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The aim of this study was to assess the ability of radiologic factors such as mean computed tomography (mCT) value, consolidation/tumor ratio (C/T ratio), solid tumor size, and the maximum standardized uptake (SUVmax) value by F-18 fluorodeoxyglucose positron emission tomography to predict the presence of spread through air spaces (STAS) of lung adenocarcinoma. METHODS A retrospective study was conducted on 118 patients those diagnosed with clinically without lymph node metastasis and having a pathological diagnosis of adenocarcinoma after undergoing surgery. Receiver operating characteristics (ROC) analysis was used to assess the ability to use mCT value, C/T ratio, tumor size, and SUVmax value to predict STAS. Univariate and multiple logistic regression analyses were performed to determine the independent variables for the prediction of STAS. RESULTS Forty-one lesions (34.7%) were positive for STAS and 77 lesions were negative for STAS. The STAS positive group was strongly associated with a high mCT value, high C/T ratio, large solid tumor size, large tumor size and high SUVmax value. The mCT values were - 324.9 ± 19.3 HU for STAS negative group and - 173.0 ± 26.3 HU for STAS positive group (p < 0.0001). The ROC area under the curve of the mCT value was the highest (0.738), followed by SUVmax value (0.720), C/T ratio (0.665), solid tumor size (0.649). Multiple logistic regression analyses using the preoperatively determined variables revealed that mCT value (p = 0.015) was independent predictive factors of predicting STAS. The maximum sensitivity and specificity were obtained at a cutoff value of - 251.8 HU. CONCLUSIONS The evaluation of mCT value has a possibility to predict STAS and may potentially contribute to the selection of suitable treatment strategies.
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Affiliation(s)
- Marino Yamamoto
- Department of Thoracic Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Masaya Tamura
- Department of Thoracic Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan.
| | - Ryohei Miyazaki
- Department of Thoracic Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Hironobu Okada
- Department of Thoracic Surgery, Kochi Medical School, Kohasu, Oko-Cho, Nankoku, Kochi, 783-8505, Japan
| | - Noriko Wada
- Department of Pathology, Kochi Medical School, Nankoku, Kochi, Japan
| | - Makoto Toi
- Department of Pathology, Kochi Medical School, Nankoku, Kochi, Japan
| | - Ichiro Murakami
- Department of Pathology, Kochi Medical School, Nankoku, Kochi, Japan
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Li H, Li L, Liu Y, Deng Y, Zhu Y, Huang L, Long T, Zeng L, Shu Y, Peng D. Predictive value of CT and 18F-FDG PET/CT features on spread through air space in lung adenocarcinoma. BMC Cancer 2024; 24:434. [PMID: 38589832 PMCID: PMC11003164 DOI: 10.1186/s12885-024-12220-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 04/02/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Lung adenocarcinoma, a leading cause of cancer-related mortality, demands precise prognostic indicators for effective management. The presence of spread through air space (STAS) indicates adverse tumor behavior. However, comparative differences between 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography(PET)/computed tomography(CT) and CT in predicting STAS in lung adenocarcinoma remain inadequately explored. This retrospective study analyzes preoperative CT and 18F-FDG PET/CT features to predict STAS, aiming to identify key predictive factors and enhance clinical decision-making. METHODS Between February 2022 and April 2023, 100 patients (108 lesions) who underwent surgery for clinical lung adenocarcinoma were enrolled. All these patients underwent 18F-FDG PET/CT, thin-section chest CT scan, and pathological biopsy. Univariate and multivariate logistic regression was used to analyze CT and 18F-FDG PET/CT image characteristics. Receiver operating characteristic curve analysis was performed to identify a cut-off value. RESULTS Sixty lesions were positive for STAS, and 48 lesions were negative for STAS. The STAS-positive was frequently observed in acinar predominant. However, STAS-negative was frequently observed in minimally invasive adenocarcinoma. Univariable analysis results revealed that CT features (including nodule type, maximum tumor diameter, maximum solid component diameter, consolidation tumor ratio, pleural indentation, lobulation, spiculation) and all 18F-FDG PET/CT characteristics were statistically significant difference in STAS-positive and STAS-negative lesions. And multivariate logistic regression results showed that the maximum tumor diameter and SUVmax were the independent influencing factors of CT and 18F-FDG PET/CT in STAS, respectively. The area under the curve of maximum tumor diameter and SUVmax was 0.68 vs. 0.82. The cut-off value for maximum tumor diameter and SUVmax was 2.35 vs. 5.05 with a sensitivity of 50.0% vs. 68.3% and specificity of 81.2% vs. 87.5%, which showed that SUVmax was superior to the maximum tumor diameter. CONCLUSION The radiological features of SUVmax is the best model for predicting STAS in lung adenocarcinoma. These radiological features could predict STAS with excellent specificity but inferior sensitivity.
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Affiliation(s)
- Haijun Li
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
- PET Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Lifeng Li
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
- Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan Province, China
| | - Yumeng Liu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Yingke Deng
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Yu Zhu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Ling Huang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Ting Long
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Li Zeng
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Yongqiang Shu
- PET Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Dechang Peng
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17 Yongwai Zheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China.
- PET Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China.
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Si H, Xu L, Zhao Y, Su H, Dai C, Xie H, Zhao S, Wu J, She Y, Hou L, Wu C, Zhao D, Chen C. Spread Through Air Spaces in Residual Tumor Classification for Clinical IA Lung Adenocarcinoma. Ann Thorac Surg 2024:S0003-4975(24)00190-5. [PMID: 38499219 DOI: 10.1016/j.athoracsur.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/22/2024] [Accepted: 03/04/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND We aimed to validate the prognostic implication of uncertain resection, R(un), proposed by International Association for the Study of Lung Cancer (IASLC) and evaluate the prognostic value of spread through air spaces (STAS) in reclassifying the R classification among patients with lung adenocarcinoma after segmentectomy. METHODS We enrolled 1007 patients who underwent segmentectomy for c-stage IA lung adenocarcinoma between 2014 and 2017. Recurrence-free survival (RFS) and overall survival (OS) were compared to evaluate the prognostic value of IASLC-R(un) and STAS. Whether STAS would skip into complementary lobectomy was evaluated in a prospective cohort. RESULTS The current IASLC-R(un) failed to significantly stratify the RFS (P = .078) in segmentectomy, and STAS was a stronger risk factor of poor prognosis for both RFS and OS (P < .001). Moreover, the presence of STAS was associated with increased locoregional recurrence in patients undergoing segmentectomy (P < .001) but not in those treated with lobectomy (P = .187), indicating that only STAS-positive segmentectomy was consistent with the concept of R(un) in relapse pattern. After reclassifying STAS-positive segmentectomy into the R(un) category, the proposed R(un) showed an improvement in prognosis stratification. In addition, 2 of 30 patients (6.2%) in the prospective cohort who underwent initial segmentectomy and complementary lobectomy had STAS clusters in the complementary lobectomy specimens. CONCLUSIONS Unfavorable prognosis, relapse patterns consistent with R(un), and pathologic verification that saltatory spread of STAS observed in complementary lobectomy specimens supported reclassifying STAS-positive segmentectomy as R(un). STAS is a critical concern for the surgical completeness evaluation after segmentectomy.
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Affiliation(s)
- Haojie Si
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Long Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yue Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Hang Su
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Chenyang Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Huikang Xie
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Shengnan Zhao
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Junqi Wu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Likun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China.
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Zhao T, Yi J, Luo D, Liu J, Fan X, Wu Q, Wang W. Prognostic factors for invasive mucinous adenocarcinoma of the lung: systematic review and meta-analysis. World J Surg Oncol 2024; 22:41. [PMID: 38303008 PMCID: PMC10835932 DOI: 10.1186/s12957-024-03326-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/23/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Invasive mucinous adenocarcinoma of the lung (IMA) is a unique and rare subtype of lung adenocarcinoma with poorly defined prognostic factors and highly controversial studies. Hence, this study aimed to comprehensively identify and summarize the prognostic factors associated with IMA. METHODS A comprehensive search of relevant literature was conducted in the PubMed, Embase, Cochrane, and Web of Science databases from their inception until June 2023. The pooled hazard ratio (HR) and corresponding 95% confidence intervals (CI) of overall survival (OS) and/or disease-free survival (DFS) were obtained to evaluate potential prognostic factors. RESULTS A total of 1062 patients from 11 studies were included. In univariate analysis, we found that gender, age, TNM stage, smoking history, lymph node metastasis, pleural metastasis, spread through air spaces (STAS), tumor size, pathological grade, computed tomography (CT) findings of consolidative-type morphology, pneumonia type, and well-defined heterogeneous ground-glass opacity (GGO) were risk factors for IMA, and spiculated margin sign was a protective factor. In multivariate analysis, smoking history, lymph node metastasis, pathological grade, STAS, tumor size, and pneumonia type sign were found to be risk factors. There was not enough evidence that epidermal growth factor receptor (EGFR) mutations, anaplastic lymphoma kinase (ALK) mutations, CT signs of lobulated margin, and air bronchogram were related to the prognosis for IMA. CONCLUSION In this study, we comprehensively analyzed prognostic factors for invasive mucinous adenocarcinoma of the lung in univariate and multivariate analyses of OS and/or DFS. Finally, 12 risk factors and 1 protective factor were identified. These findings may help guide the clinical management of patients with invasive mucinous adenocarcinoma of the lung.
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Affiliation(s)
- Ting Zhao
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
| | - Jianhua Yi
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
| | - Dan Luo
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
- Faculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine and University Hospital, Macau University of Science and Technology, Taipa, 999078, Macao, China
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
| | - Junjun Liu
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China
| | - Xianming Fan
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China.
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China.
| | - Qibiao Wu
- Faculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine and University Hospital, Macau University of Science and Technology, Taipa, 999078, Macao, China.
- Zhuhai MUST Science and Technology Research Institute, 51900, Zhuhai, Guangdong, China.
| | - Wenjun Wang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China.
- Inflammation & Allergic Diseases Research Unit, The Affiliated Hospital, Southwest Medical University, 646099, Luzhou, Sichuan, China.
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Wei B, Zhang Y, Shi K, Jin X, Qian K, Zhang P, Zhao T. Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma. J Cardiothorac Surg 2024; 19:39. [PMID: 38303053 PMCID: PMC10832140 DOI: 10.1186/s13019-024-02528-x] [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: 04/07/2023] [Accepted: 01/28/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Identification of micropapillary and solid subtypes components in small-sized (≤ 2 cm) lung adenocarcinoma plays a crucial role in determining optimal surgical procedures. This study aims to propose a straightforward prediction method utilizing preoperative available indicators. METHODS From January 2019 to July 2022, 341 consecutive patients with small-sized lung adenocarcinoma who underwent curative resection in thoracic surgery department of Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The patients were divided into two groups based on whether solid or micropapillary components ≥ 5% or not (S/MP5+ and S/MP5-). Univariate analysis and multivariate logistic regression analysis were utilized to identify independent predictors of S/MP5+. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve with a 1000 bootstrap resampling and the receiver operating characteristic (ROC) curve were depicted to evaluate its performance. RESULTS According to postoperative pathological results, 79 (23.2%) patients were confirmed as S/MP5+ while 262 (76.8%) patients were S/MP5-. Based on multivariate analysis, maximum diameter (p = 0.010), consolidation tumor ratio (CTR) (p < 0.001) and systemic immune-inflammation index (SII) (p < 0.001) were identified as three independent risk factors and incorporated into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of S/MP5+. Besides, the model showed certain discrimination, with an area under ROC curve of 0.893. CONCLUSIONS The model constructed based on SII is a practical tool to predict high-grade subtypes components of small-sized lung adenocarcinoma preoperatively and contribute to determine the optimal surgical approach.
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Affiliation(s)
- BoHua Wei
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Yi Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China.
| | - Kejian Shi
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Xin Jin
- Laboratory of Respiratory Disease and Thoracic Surgery, KU Leuven, 3000, Leuven, Belgium
| | - Kun Qian
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Peilong Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Teng Zhao
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
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Sayan M, Kankoc A, Valiyev E, Celik A. A novel technique proposition for determining the resection margins in lung resection by using a thermal camera. Gen Thorac Cardiovasc Surg 2024; 72:121-126. [PMID: 37278939 DOI: 10.1007/s11748-023-01948-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/29/2023] [Indexed: 06/07/2023]
Abstract
OBJECTIVES Determination of resection margins is very important in anatomical lung resections for both oncologic outcomes and postoperative complications. Absence of intersegmental plans naturally in segmentectomy surgeries and presence of incomplete fissure variationally in pulmonary lobectomy procedures constitute a challenge for surgeons in determining resection margins. Thoracic surgeons can prefer various techniques such as inflation deflation method, indocyanine green imaging, and three-dimensional segment modeling to cope with this problem. These techniques have some disadvantages such as high cost, the necessity of intravenous drug administration, need for an additional imaging system and ineffectiveness due to emphysema, anthracotic lung surface or interalveolar pores. Here we studied an alternative method for the solution of these disadvantages and aimed to demonstrate the correctness of a hypothesis based on detecting the cooling of the ischemic lung portion by a thermal camera after dividing the related pulmonary artery. METHODS We planned determining margins of resection with a thermal camera in patients scheduled for pulmonary lobectomy or segmentectomy. We made some measurements and mapping with a thermal camera before and after the dividing of pulmonary artery of related lobe or segment then processed the images taken with a software on the computer. RESULTS We detected a significant decrease in temperature in the ischemic lung area and demonstrated mapping the demarcation line between ischemic and perfused areas effectively by thermography in a total of 32 patients underwent lung resection. CONCLUSION Pulmonary resection margins can be detected effectively by thermography in patients.
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Affiliation(s)
- Muhammet Sayan
- Department of Thoracic Surgery, Gazi University, 06560, Ankara, Turkey.
| | - Aykut Kankoc
- Department of Thoracic Surgery, Gazi University, 06560, Ankara, Turkey
| | - Elgun Valiyev
- Department of Thoracic Surgery, Gazi University, 06560, Ankara, Turkey
| | - Ali Celik
- Department of Thoracic Surgery, Gazi University, 06560, Ankara, Turkey
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10
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Wan S, Shen Z, Hu S, Zhang L, Yu H, Chen Y, Wang J, Wang D, Zhang J, Zhang P. Spread Through Air Spaces in Stage I Pulmonary Large Cell Neuroendocrine Carcinoma. Ann Thorac Surg 2024:S0003-4975(24)00011-0. [PMID: 38242341 DOI: 10.1016/j.athoracsur.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/15/2023] [Accepted: 01/03/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND Pulmonary large cell neuroendocrine carcinoma (LCNEC) represents an exceptionally aggressive and infrequent variant within the realm of non-small cell lung cancer, necessitating surgical intervention as the primary therapeutic approach. However, the postoperative management strategy for early-stage patients continues to be a subject of intense debate and uncertainty. METHODS A retrospective analysis was conducted on a cohort of patients diagnosed with LCNEC who underwent surgical resection at Shanghai Pulmonary Hospital between July 2018 and June 2022. Comprehensive assessments, encompassing univariate and multivariate analyses, were performed to evaluate the prognostic significance of these indicators in patient clinical profiles, overall survival (OS), and disease-free survival (DFS). RESULTS A comprehensive screening effort identified 171 patients with LCNEC, with 70 stage I patients meeting the criteria for inclusion in the final cohort. Of these, 11 patients (15.7%) presented with combined LCNEC, and 59 (84.3%) exhibited pure LCNEC. Univariate and multivariate analyses both unveiled that spread through air spaces (STAS) status emerged as an independent prognostic determinant for both DFS (P = .003) and OS (P = .013), whereas histologic subtype independently predicted OS (P = .011). Subgroup survival analyses further underscored that the advantageous effects of postoperative chemotherapy were significantly pronounced exclusively among STAS-positive patients, showcasing a statistically significant enhancement in DFS (P = .047) and OS (P = .018). CONCLUSIONS STAS may serve as an adverse prognostic factor in stage I LCNEC patients, potentially offering guidance for postoperative chemotherapy decisions.
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Affiliation(s)
- Shiyue Wan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ziyun Shen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shiqi Hu
- The 1st School of Medicine, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Lele Zhang
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Huansha Yu
- Experimental Animal Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yan Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jue Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Di Wang
- Tissue Bank of Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jing Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China; The 1st School of Medicine, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
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11
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Zhu Z, Jiang W, Zhou D, Zhu W, Chen C. A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules. Cancer Biomark 2023:CBM230104. [PMID: 38143336 DOI: 10.3233/cbm-230104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND In clinical practice, preoperative identification of mixed ground-glass opacity (mGGO) nodules with micropapillary component (MPC) to facilitate the implementation of individualized therapeutic strategies and avoid unnecessary surgery is increasingly importantOBJECTIVE: This study aimed to build a predictive model based on clinical and radiological variables for the early identification of MPC in lung adenocarcinoma presenting as mGGO nodules. METHODS The enrolled 741 lung adenocarcinoma patients were randomly divided into a training cohort and a validation cohort (3:1 ratio). The pathological specimens and preoperative images of malignant mGGO nodules from the study subjects were retrospectively reviewed. Furthermore, in the training cohort, selected clinical and radiological variables were utilized to construct a predictive model for MPC prediction. RESULTS The MPC was found in 228 (43.3%) patients in the training cohort and 72 (41.1%) patients in the validation cohort. Based on the predictive nomogram, the air bronchogram was defined as the most dominant independent risk factor for MPC of mGGO nodules, followed by the maximum computed tomography (CT) value (> 200), adjacent to pleura, gender (male), and vacuolar sign. The nomogram demonstrated good discriminative ability with a C-index of 0.783 (95%[CI] 0.744-0.822) in the training cohort and a C-index of 0.799 (95%[CI] 0.732-0.866) in the validation cohort Additionally, by using the bootstrapping method, this predictive model calculated a corrected AUC of 0.774 (95% CI: 0.770-0.779) in the training cohort. CONCLUSIONS This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies.
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Affiliation(s)
- Ziwen Zhu
- Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weizhen Jiang
- Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Danhong Zhou
- Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weidong Zhu
- Pathology Department, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Cheng Chen
- Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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12
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Liu HC, Lin MH, Chang WC, Zeng RC, Wang YM, Sun CW. Rapid On-Site AI-Assisted Grading for Lung Surgery Based on Optical Coherence Tomography. Cancers (Basel) 2023; 15:5388. [PMID: 38001648 PMCID: PMC10670228 DOI: 10.3390/cancers15225388] [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: 10/03/2023] [Revised: 11/02/2023] [Accepted: 11/08/2023] [Indexed: 11/26/2023] Open
Abstract
The determination of resection extent traditionally relies on the microscopic invasiveness of frozen sections (FSs) and is crucial for surgery of early lung cancer with preoperatively unknown histology. While previous research has shown the value of optical coherence tomography (OCT) for instant lung cancer diagnosis, tumor grading through OCT remains challenging. Therefore, this study proposes an interactive human-machine interface (HMI) that integrates a mobile OCT system, deep learning algorithms, and attention mechanisms. The system is designed to mark the lesion's location on the image smartly and perform tumor grading in real time, potentially facilitating clinical decision making. Twelve patients with a preoperatively unknown tumor but a final diagnosis of adenocarcinoma underwent thoracoscopic resection, and the artificial intelligence (AI)-designed system mentioned above was used to measure fresh specimens. Results were compared to FSs benchmarked on permanent pathologic reports. Current results show better differentiating power among minimally invasive adenocarcinoma (MIA), invasive adenocarcinoma (IA), and normal tissue, with an overall accuracy of 84.9%, compared to 20% for FSs. Additionally, the sensitivity and specificity, the sensitivity and specificity were 89% and 82.7% for MIA and 94% and 80.6% for IA, respectively. The results suggest that this AI system can potentially produce rapid and efficient diagnoses and ultimately improve patient outcomes.
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Affiliation(s)
- Hung-Chang Liu
- Section of Thoracic Surgery, Mackay Memorial Hospital, Taipei City 10449, Taiwan;
- Intensive Care Unit, Mackay Memorial Hospital, Taipei City 10449, Taiwan
- Department of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan
- Department of Optometry, Mackay Junior College of Medicine, Nursing, and Management, Taipei City 11260, Taiwan
| | - Miao-Hui Lin
- Biomedical Optical Imaging Lab, Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan; (M.-H.L.); (R.-C.Z.); (Y.-M.W.)
| | - Wei-Chin Chang
- Department of Pathology, Mackay Memorial Hospital, New Taipei City 25160, Taiwan;
- Department of Pathology, Taipei Medical University Hospital, Taipei City 11030, Taiwan
- Department of Pathology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City 11030, Taiwan
| | - Rui-Cheng Zeng
- Biomedical Optical Imaging Lab, Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan; (M.-H.L.); (R.-C.Z.); (Y.-M.W.)
| | - Yi-Min Wang
- Biomedical Optical Imaging Lab, Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan; (M.-H.L.); (R.-C.Z.); (Y.-M.W.)
| | - Chia-Wei Sun
- Biomedical Optical Imaging Lab, Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan; (M.-H.L.); (R.-C.Z.); (Y.-M.W.)
- Institute of Biomedical Engineering, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu City 30010, Taiwan
- Medical Device Innovation and Translation Center, National Yang Ming Chiao Tung University, Taipei City 11259, Taiwan
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13
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Kamigaichi A, Hamada A, Tsutani Y. Segmentectomy for patients with early-stage pure-solid non-small cell lung cancer. Front Oncol 2023; 13:1287088. [PMID: 38023140 PMCID: PMC10644359 DOI: 10.3389/fonc.2023.1287088] [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: 09/01/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
For decades, lobectomy has been the recommended surgical procedure for non-small cell lung cancer (NSCLC), including for small-sized lesions. However, two recent pivotal clinical trials conducted by the Japanese Clinical Oncology Group/West Japan Oncology Group (JCOG0802/WJOG4607L) and the Cancer and Leukemia Group B (CALGB140503), which compared the survival outcomes between lobectomy and sublobar resection (the JCOG0802/WJOG4607L included only segmentectomy, not wedge resection), demonstrated the efficacy of sublobar resection in patients with early-stage peripheral lung cancer measuring ≤ 2 cm. The JCOG0802/WJOG4607L demonstrated the superiority of segmentectomy over lobectomy with respect to overall survival, implying the survival benefit conferred by preservation of the lung parenchyma. Subsequently, the JCOG1211 also demonstrated the efficacy of segmentectomy, even for NSCLC, measuring up to 3 cm with the predominant ground-glass opacity phenotype. Segmentectomy has become the standard of care for early-stage NSCLC and its indications are expected to be further expanded to include solid lung cancers > 2 cm. However, local control is still a major concern for segmentectomy for higher-grade malignant tumors. Thus, the indications of segmentectomy, especially for patients with radiologically pure-solid NSCLC, remain controversial due to the aggressive nature of the malignancy. In this study, we reviewed previous studies and discussed the efficacy of segmentectomy for patients with such tumors.
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Affiliation(s)
| | - Akira Hamada
- Division of Thoracic Surgery, Department of Surgery, Kindai University, Osaka, Japan
| | - Yasuhiro Tsutani
- Division of Thoracic Surgery, Department of Surgery, Kindai University, Osaka, Japan
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14
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Kidane B, Bott M, Spicer J, Backhus L, Chaft J, Chudgar N, Colson Y, D'Amico TA, David E, Lee J, Najmeh S, Sepesi B, Shu C, Yang J, Swanson S, Stiles B. The American Association for Thoracic Surgery (AATS) 2023 Expert Consensus Document: Staging and multidisciplinary management of patients with early-stage non-small cell lung cancer. J Thorac Cardiovasc Surg 2023; 166:637-654. [PMID: 37306641 DOI: 10.1016/j.jtcvs.2023.04.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 04/27/2023] [Indexed: 06/13/2023]
Abstract
Novel targeted therapy and immunotherapy drugs have recently been approved for use in patients with surgically resectable lung cancer. Accurate staging, early molecular testing, and knowledge of recent trials are critical to optimize oncologic outcomes in these patients.
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Affiliation(s)
| | - Matthew Bott
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | - Jamie Chaft
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | | | | | - Jay Lee
- University of California, Los Angeles, Los Angeles, Calif
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15
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Yang Z, Cai Y, Chen Y, Ai Z, Chen F, Wang H, Han Q, Feng Q, Xiang Z. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma. Acad Radiol 2023; 30:1946-1961. [PMID: 36567145 DOI: 10.1016/j.acra.2022.12.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/24/2022] [Accepted: 12/03/2022] [Indexed: 12/25/2022]
Abstract
RATIONALE AND OBJECTIVES The novel International Association for the Study of Lung Cancer (IASLC) grading system of invasive lung adenocarcinoma (ADC) demonstrated a remarkable prognostic effect and enabled numerous patients to benefit from adjuvant chemotherapy. We sought to build a CT-based nomogram for preoperative prediction of the IASLC grading. MATERIALS AND METHODS This work retrospectively analyzed the CT images and clinical data of 303 patients with pathologically confirmed invasive ADC. The histological subtypes and radiological characteristics of the patients were re-evaluated. Radiomics features were extracted, and the optimal subset of features was established by ANOVA, spearman correlation analysis, and the least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses identified the independent clinical and radiological variables. Finally, multivariate logistic regression analysis incorporated clinical, radiological, and optimal radiomics features into the nomogram. Receiver operating characteristic (ROC) curve, and accuracy were applied to assess the model's performance. Decision curve analysis (DCA), and calibration curve were applied to assess the clinical usefulness. RESULTS Nine selected CT image features were used to develop the radiomics model. The accuracy, precision, sensitivity, and specificity of the radiomics model outperformed the clinic-radiological model in the training and testing sets. Integrating Radscore with independent radiological characteristics showed higher prediction performance than clinic-radiological characteristics alone in the training (AUC, 0.915 vs. 0.882; DeLong, p < 0.05) and testing (AUC, 0.838 vs. 0.782; DeLong, p < 0.05) sets. Good calibration and decision curve analysis demonstrated the clinical usefulness of the nomogram. CONCLUSION Radiomics features effectively predict high-grade ADC. The combined nomogram may facilitate selecting patients who benefit from adjuvant treatment.
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Affiliation(s)
- Zhihe Yang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.); School of Life Sciences, South China Normal University, Guangzhou, GD, P.R.China,(Z.Y.,Q.F.)
| | - Yuqin Cai
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.)
| | - Yirong Chen
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.)
| | - Zhu Ai
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.)
| | - Fang Chen
- Department of Pathology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R.China,(F.C.,H.W.)
| | - Hao Wang
- Department of Pathology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R.China,(F.C.,H.W.)
| | - Qijia Han
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.)
| | - Qili Feng
- School of Life Sciences, South China Normal University, Guangzhou, GD, P.R.China,(Z.Y.,Q.F.)
| | - Zhiming Xiang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, GD, P.R. China,(Z.Y.,Y.C.,Y.C.,Z.A.,Q.H.,Z.X.).
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16
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Gong J, Yin R, Sun L, Gao N, Wang X, Zhang L, Zhang Z. CT-based radiomics model to predict spread through air space in resectable lung cancer. Cancer Med 2023; 12:18755-18766. [PMID: 37676092 PMCID: PMC10557899 DOI: 10.1002/cam4.6496] [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: 05/09/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Spread through air space (STAS) has been identified as a pathological pattern associated with lung cancer progression. Patients with STAS were related to a worse prognosis compared with patients without STAS. The objective of this study was to establish a radiomics model capable of forecasting STAS before surgery, which can assist surgeons in selecting the most appropriate operation type for patients with STAS. METHOD There were 537 eligible patients retrospectively included in this study. ROI segmentation was performed manually on all CT images to identify the region of interest. From each segmented lesion, a total of 1688 features were extracted. The tumor size, maximum tumor diameters, and tumor type were also recorded. Using Spearman's correlation coefficient to calculate the correlation and redundancy of elements, and redundant features less than 0.80 were removed. In order to reduce the level of overfitting and avoid statistical biases, a dimension reduction process of the dataset was conducted to decrease the number of features. Finally, a radiomics model included 44 features was established to predict STAS. To evaluate the performance of the model, the receiver operating characteristic (ROC) curve was used, and the area under the curve (AUC) was calculated, and the accuracy of the model was verified by 10-fold cross-validation. RESULTS The incidence of STAS was 38.2% (205/537). The tumor type, maximum tumor diameters, and consolidation tumor ratio were significantly different between STAS group and non-STAS group. The training group included 430 patients, while the test group was consisted with 107. The training group achieved an AUC of 0.825 (sensitivity, 0.875; specificity, 0.621; and accuracy, 0.749) and the test group had an AUC of 0.802 (sensitivity, 0.797; specificity,0.688; and accuracy, 0.748). The 10-fold cross-validation had an AUC of 0.834. CONCLUSION CT-based radiomic model can predict STAS effectively, which is of great importance to guide the selection of operation types before surgery.
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Affiliation(s)
- Jialin Gong
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Rui Yin
- School of Biomedical Engineering & TechnologyTianjin Medical UniversityTianjinChina
| | - Leina Sun
- Department of Pathology, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Na Gao
- Department of Pathology, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Xiaofei Wang
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Lianmin Zhang
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
| | - Zhenfa Zhang
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for CancerTianjinChina
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17
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Niu Y, Han X, Zeng Y, Nanding A, Bai Q, Guo S, Hou Y, Yu Y, Zhang Q, Li X. The significance of spread through air spaces in the prognostic assessment model of stage I lung adenocarcinoma and the exploration of its invasion mechanism. J Cancer Res Clin Oncol 2023; 149:7125-7138. [PMID: 36881149 DOI: 10.1007/s00432-023-04619-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/27/2023] [Indexed: 03/08/2023]
Abstract
PURPOSE Spread through air spaces (STAS) is a crucial invasive mode of lung cancer and has been shown to be associated with early recurrence and metastasis. We aimed to develop a prognostic risk assessment model for stage I lung adenocarcinoma based on STAS and other pathological features and to explore the potential relationship between CXCL-8, Smad2, Snail, and STAS. METHODS 312 patients who underwent surgery at Harbin Medical University Cancer Hospital with pathologically diagnosed stage I lung adenocarcinoma were reviewed in the study. STAS and other pathological features were identified by H&E staining, and a prognostic risk assessment model was established. The expression levels of CXCL8, Smad2, and Snail were determined by immunohistochemistry. RESULTS The nomogram was established based on age, smoking history, STAS, tumor lymphocyte infiltration, tissue subtype, nuclear grade, and tumor size. The C-index for DFS was (training set 0.84 vs validation set 0.77) and for OS was (training set 0.83 vs validation set 0.78). Decision curve analysis showed that the model constructed has a better net benefit than traditional reporting. The prognostic risk score validated the risk stratification value for stage I lung adenocarcinoma. STAS was an important prognostic factor associated with stronger invasiveness and higher expression of CXCL8, Smad2, and Snail. CXCL8 was associated with poorer DFS and OS. CONCLUSIONS We developed and validated a survival risk assessment model and the prognostic risk score formula for stage I lung adenocarcinoma. Additionally, we found that CXCL8 could be used as a potential biomarker for STAS and poor prognosis, and its mechanism may be related to EMT.
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Affiliation(s)
- YangYang Niu
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - XinHao Han
- Department of Biostatistics, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Yuan Zeng
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Abiyasi Nanding
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Qiang Bai
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - SaiNan Guo
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - YaLi Hou
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China
| | - Yan Yu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
| | - QiuJu Zhang
- Department of Biostatistics, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
| | - XiaoMei Li
- Department of Pathology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
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18
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Fu Y, Zha J, Wu Q, Tang Y, Wang W, Zhou Q, Jiang L. Stromal micropapillary pattern and CD44s expression predict worse outcome in lung adenocarcinomas with micropapillary pattern. Pathol Res Pract 2023; 248:154595. [PMID: 37343380 DOI: 10.1016/j.prp.2023.154595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/09/2023] [Accepted: 06/05/2023] [Indexed: 06/23/2023]
Abstract
OBJECTIVES This study aims to investigate the clinicopathologic characteristics of lung adenocarcinoma with micropapillary pattern (MPP) and the expression of CD44s and CD44v6 in MPP. METHODS A total of 202 patients diagnosed with primary lung adenocarcinoma with MPP were included. We estimated the proportion of MPP in each tumor tissue and divided MPP into aerogenous micropapillary pattern (AMP) and stromal micropapillary pattern (SMP). The expression of CD44s and CD44v6 was estimated by immunohistochemical staining. Clinicopathologic data were collected from the patients' medical records. We also collected patients' follow-up data and used PFS (progression-free survival) as a survival indicator. RESULTS Lung adenocarcinoma with MPP had a high risk of pleural invasion, lymph node metastasis, in advanced TNM stage, and a high rate of EGFR mutation. The presence of SMP indicated a higher rate of pleural invasion, lymphovascular invasion, lymph node metastasis, and a worse PFS compared with pure AMP. We found high expression of CD44s in micropapillary, especially in AMP, while the absence of CD44s expression indicated shorter survival, which was an independent unfavorable factor for PFS. CONCLUSIONS Lung adenocarcinoma with micropapillary pattern indicated an unfavorable prognosis, which had two different pattens, AMP and SMP. SMP indicated a worse survival than AMP, and was an independent unfavorable factor for PFS. So, AMP/SMP subclassification is necessary to evaluate patient's prognosis. Furthermore, the absent expression of CD44s in micropapillary indicated shorter survival, especially in patients with EGFR mutation. Herein, CD44s may be a biological marker for micropapillary lung adenocarcinoma.
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Affiliation(s)
- Yiyun Fu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Junmei Zha
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Wu
- Department of Pathology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yuan Tang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Weiya Wang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiao Zhou
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Lili Jiang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.
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19
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Chen Z, Wu X, Fang T, Ge Z, Liu J, Wu Q, Zhou L, Shen J, Zhou C. Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non-small cell lung cancer. Cancer Med 2023; 12:15246-15255. [PMID: 37278137 PMCID: PMC10417161 DOI: 10.1002/cam4.6211] [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: 01/15/2023] [Revised: 05/02/2023] [Accepted: 05/25/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Spread through air spaces (STAS) is a pattern of invasion recently identified in non-small cell lung cancer (NSCLC), with a poor prognosis. However, the predictive impact of STAS in stage IB NSCLC is not well understood. This investigation aims to assess the prognostic influence of STAS in stage IB NSCLC. METHODS We reviewed 130 resected stage IB NSCLC between 2010 and 2015. Beyond the central tumor edge, lung parenchymal air gaps containing cancer cells were identified as STAS. In order to estimate recurrence-free survival (RFS) and overall survival (OS), Cox models and Kaplan-Meier techniques were utilized. Logistic regression analysis was employed to define the factors influencing STAS. RESULTS Of 130 patients, 72 (55.4%) had STAS. STAS was a significant prognosticator. Kaplan-Meier method showed that STAS-positive patients had a significantly lower OS and RFS than STAS-negative patients (5-year OS, 66.5% vs. 90.4%, p = 0.02; 5-year RFS, 59.5% vs. 89.7%, p = 0.004) In a semiquantitative assessment, the RFS and OS were shorter in survival analysis when STAS increased (5-year RFS, 89.7%, no STAS, 61.8%, low STAS, 57.2%, high STAS, p = 0.013; 5-year OS, 90.4%, no STAS, 78.3%, low STAS, 57.2%, high STAS, p = 0.002). The association between STAS and poor differentiation, adenocarcinoma, and vascular invasion (p value was <0.001, 0.047, and 0.041, respectively) was statistically significant. CONCLUSIONS The STAS is an aggressive pathological feature. RFS and OS could be significantly reduced by STAS, while it also serves as an independent predictor.
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Affiliation(s)
- Zixuan Chen
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Xianqiao Wu
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Tianzheng Fang
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Zhen Ge
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Jiayuan Liu
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Qinglong Wu
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Lin Zhou
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Jianfei Shen
- Cardiothoracic Surgery DepartmentTaizhou Hospital of Zhejiang Province, Wenzhou Medical UniversityLinhaiChina
| | - Chengwei Zhou
- Thoracic Surgery DepartmentThe First Affiliated Hospital of Ningbo UniversityNingboChina
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20
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Karasaki T, Moore DA, Veeriah S, Naceur-Lombardelli C, Toncheva A, Magno N, Ward S, Bakir MA, Watkins TBK, Grigoriadis K, Huebner A, Hill MS, Frankell AM, Abbosh C, Puttick C, Zhai H, Gimeno-Valiente F, Saghafinia S, Kanu N, Dietzen M, Pich O, Lim EL, Martínez-Ruiz C, Black JRM, Biswas D, Campbell BB, Lee C, Colliver E, Enfield KSS, Hessey S, Hiley CT, Zaccaria S, Litchfield K, Birkbak NJ, Cadieux EL, Demeulemeester J, Van Loo P, Adusumilli PS, Tan KS, Cheema W, Sanchez-Vega F, Jones DR, Rekhtman N, Travis WD, Hackshaw A, Marafioti T, Salgado R, Le Quesne J, Nicholson AG, McGranahan N, Swanton C, Jamal-Hanjani M. Evolutionary characterization of lung adenocarcinoma morphology in TRACERx. Nat Med 2023; 29:833-845. [PMID: 37045996 PMCID: PMC7614478 DOI: 10.1038/s41591-023-02230-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 01/24/2023] [Indexed: 04/14/2023]
Abstract
Lung adenocarcinomas (LUADs) display a broad histological spectrum from low-grade lepidic tumors through to mid-grade acinar and papillary and high-grade solid, cribriform and micropapillary tumors. How morphology reflects tumor evolution and disease progression is poorly understood. Whole-exome sequencing data generated from 805 primary tumor regions and 121 paired metastatic samples across 248 LUADs from the TRACERx 421 cohort, together with RNA-sequencing data from 463 primary tumor regions, were integrated with detailed whole-tumor and regional histopathological analysis. Tumors with predominantly high-grade patterns showed increased chromosomal complexity, with higher burden of loss of heterozygosity and subclonal somatic copy number alterations. Individual regions in predominantly high-grade pattern tumors exhibited higher proliferation and lower clonal diversity, potentially reflecting large recent subclonal expansions. Co-occurrence of truncal loss of chromosomes 3p and 3q was enriched in predominantly low-/mid-grade tumors, while purely undifferentiated solid-pattern tumors had a higher frequency of truncal arm or focal 3q gains and SMARCA4 gene alterations compared with mixed-pattern tumors with a solid component, suggesting distinct evolutionary trajectories. Clonal evolution analysis revealed that tumors tend to evolve toward higher-grade patterns. The presence of micropapillary pattern and 'tumor spread through air spaces' were associated with intrathoracic recurrence, in contrast to the presence of solid/cribriform patterns, necrosis and preoperative circulating tumor DNA detection, which were associated with extra-thoracic recurrence. These data provide insights into the relationship between LUAD morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk.
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Affiliation(s)
- Takahiro Karasaki
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - David A Moore
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Selvaraju Veeriah
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | | | - Antonia Toncheva
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Neil Magno
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Maise Al Bakir
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Kristiana Grigoriadis
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Ariana Huebner
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Mark S Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Alexander M Frankell
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Christopher Abbosh
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Clare Puttick
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Haoran Zhai
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Francisco Gimeno-Valiente
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sadegh Saghafinia
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Michelle Dietzen
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Emilia L Lim
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Carlos Martínez-Ruiz
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - James R M Black
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Dhruva Biswas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, London, UK
| | - Brittany B Campbell
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Claudia Lee
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Emma Colliver
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Katey S S Enfield
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Crispin T Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Nicolai J Birkbak
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Elizabeth Larose Cadieux
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Medical Genomics, University College London Cancer Institute, London, UK
| | - Jonas Demeulemeester
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Integrative Cancer Genomics Laboratory, Department of Oncology, KU Leuven, Leuven, Belgium
- VIB - KU Leuven Center for Cancer Biology, Leuven, Belgium
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Prasad S Adusumilli
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kay See Tan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Waseem Cheema
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco Sanchez-Vega
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David R Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allan Hackshaw
- Cancer Research UK & UCL Cancer Trials Centre, London, UK
| | - Teresa Marafioti
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Roberto Salgado
- Department of Pathology, ZAS Hospitals, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - John Le Quesne
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Pathology Department, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
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21
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Lucà S, Zannini G, Morgillo F, Della Corte CM, Fiorelli A, Zito Marino F, Campione S, Vicidomini G, Guggino G, Ronchi A, Accardo M, Franco R. The prognostic value of histopathology in invasive lung adenocarcinoma: a comparative review of the main proposed grading systems. Expert Rev Anticancer Ther 2023; 23:265-277. [PMID: 36772823 DOI: 10.1080/14737140.2023.2179990] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
INTRODUCTION An accurate histological evaluation of invasive lung adenocarcinoma is essential for a correct clinical and pathological definition of the tumour. Different grading systems have been proposed to predict the prognosis of invasive lung adenocarcinoma. AREAS COVERED Invasive non mucinous lung adenocarcinoma is often morphologically heterogeneous, consisting of complex combinations of architectural patterns with different proportions. Several grading systems for non-mucinous lung adenocarcinoma have been proposed, being the main based on architectural differentiation and the predominant growth pattern. Herein we perform a thorough review of the literature using PubMed, Scopus and Web of Science and we highlight the peculiarities and the differences between the main grading systems and compare the data about their prognostic value. In addition, we carried out an evaluation of the proposed grading systems for less common histological variants of lung adenocarcinoma, such as fetal adenocarcinoma and invasive mucinous adenocarcinoma. EXPERT OPINION The current IASLC grading system, based on the combined score of predominant growth pattern plus high-grade histological pattern, shows the stronger prognostic significance than the previous grading systems in invasive non mucinous lung adenocarcinoma.
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Affiliation(s)
- Stefano Lucà
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Giuseppa Zannini
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Floriana Morgillo
- Department of Precision Medicine, Medical Oncology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Carminia Maria Della Corte
- Department of Precision Medicine, Medical Oncology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Alfonso Fiorelli
- Division of Thoracic Surgery, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Federica Zito Marino
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Severo Campione
- A. Cardarelli Hospital, Department of Advanced Diagnostic-Therapeutic Technologies and Health Services Section of Anatomic Pathology, Naples, Italy
| | - Giovanni Vicidomini
- Division of Thoracic Surgery, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Gianluca Guggino
- Thoracic Surgery Department, AORN A. Cardarelli Hospital, Naples, Italy
| | - Andrea Ronchi
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Marina Accardo
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
| | - Renato Franco
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "L. Vanvitelli", Naples, Italy
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22
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Invasive mucinous adenocarcinoma of the lung: clinicopathological features, 18F-FDG PET/CT findings, and survival outcomes. Ann Nucl Med 2023; 37:198-207. [PMID: 36538165 DOI: 10.1007/s12149-022-01816-7] [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: 11/15/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Invasive mucinous adenocarcinoma (IMA) is a rare subtype of lung adenocarcinoma. This study aimed to retrospectively evaluate the clinicopathological features, 18F-FDG PET/CT findings, and prognosis of IMA of the lung, as well as to investigate the associations among these variables, to improve the management of such patients. METHODS Clinicopathological and 18F-FDG PET/CT characteristics of 72 patients with pathologically confirmed IMA of the lung were retrospectively collected and investigated, and their predictive efficacy on progression-free survival (PFS) was evaluated. RESULTS The median age of the enrolled 72 patients was 61 years (range, 26-79 years), and the male-to-female ratio was 1:1.25. According to the radiological morphology of IMA, solidary nodule/mass type (n = 59, 81.9%) was the most common, followed by GGO type (n = 8, 11.1%) and pneumonia type (n = 5, 6.9%). Lobulated or spiculated margin and pleural traction were the most common radiological signs. The median SUVmax of IMA lesions was 3.0, ranging from 0.5 to 23.1. Higher SUVmax was observed in IMA with non-GGO type, clinical symptom, advanced stage, lobulated margin, pleural traction or spread through air spaces (STAS) (P < 0.05). Moreover, higher SUVmax was related to larger tumor size in non-pneumonia-type IMA (r = 0.708, P < 0.001). The median PFS was 21.3 months, and the 12-, 24- and 36-month PFS rates were 89.8%, 83.3% and 75.5%, respectively. A poorer PFS was significantly associated with SUVmax ≥ 3, advanced stage and STAS. CONCLUSION 18F-FDG PET/CT combined with clinicopathological characteristics can aid the diagnosis and prognostic evaluation of lung IMA, which could provide guidance for the appropriate management of such patients.
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23
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Ou GC, Luo W, Zhang WS, Wang SH, Zhao J, Zhao HM, Qiu R. Gefitinib improves severe bronchorrhea and prolongs the survival of a patient with lung invasive mucinous adenocarcinoma: A case report. World J Clin Cases 2023; 11:441-448. [PMID: 36686363 PMCID: PMC9850975 DOI: 10.12998/wjcc.v11.i2.441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Lung invasive mucinous adenocarcinoma (LIMA), formerly referred to as mucinous bronchioloalveolar carcinoma, is a rare disease that usually presents as bilateral lung infiltration, is unsuitable for surgery and radiotherapy, and shows poor response to conventional chemotherapy.
CASE SUMMARY We report a 56-year-old Chinese man with a history of smoking and epidermal growth factor receptor mutation-positivity who was initially misdiagnosed as severe pneumonia, but was ultimately diagnosed as a case of invasive mucinous adenocarcinoma of the lung by computed tomography -guided percutaneous lung biopsy. Bronchorrhea and dyspnea were improved within 24 h after initiation of gefitinib therapy and the radiographic signs of bilateral lung consolidation showed visible improvement within 30 d. After more than 11 months of treatment, there is no evidence of recurrence or severe adverse events.
CONCLUSION Although the precise mechanism of the antitumor effects of gefitinib are not clear, our experience indicates an important role of the drug in LIMA and provides a reference for the diagnosis and treatment of this disease.
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Affiliation(s)
- Guo-Chun Ou
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Wen Luo
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Wei-Shan Zhang
- Department of Pathology, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Shu-Hong Wang
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Jie Zhao
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Hong-Mei Zhao
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
| | - Rong Qiu
- Department of Respiratory and Critical Care Medicine, Suining Central Hospital, Suining 629000, Sichuan Province, China
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24
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Azari F, Meijer RPJ, Kennedy GT, Hanna A, Chang A, Nadeem B, Din A, Pèlegrin A, Framery B, Cailler F, Sullivan NT, Kucharczuk J, Martin LW, Vahrmeijer AL, Singhal S. Carcinoembryonic Antigen-Related Cell Adhesion Molecule Type 5 Receptor-Targeted Fluorescent Intraoperative Molecular Imaging Tracer for Lung Cancer: A Nonrandomized Controlled Trial. JAMA Netw Open 2023; 6:e2252885. [PMID: 36705924 PMCID: PMC10292762 DOI: 10.1001/jamanetworkopen.2022.52885] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Importance Localization of subcentimeter ground glass opacities during minimally invasive thoracoscopic lung cancer resections is a significant challenge in thoracic oncology. Intraoperative molecular imaging has emerged as a potential solution, but the availability of suitable fluorescence agents is a limiting factor. Objective To evaluate the suitability of SGM-101, a carcinoembryonic antigen-related cell adhesion molecule type 5 (CEACAM5) receptor-targeted near-infrared fluorochrome, for molecular imaging-guided lung cancer resections, because glycoprotein is expressed in more than 80% of adenocarcinomas. Design, Setting, and Participants For this nonrandomized, proof-of-principal, phase 1 controlled trial, patients were divided into 2 groups between August 1, 2020, and January 31, 2022. Patients with known CEACAM5-positive gastrointestinal tumors suggestive of lung metastasis were selected as proof-of-principle positive controls. The investigative group included patients with lung nodules suggestive of primary lung malignant neoplasms. Patients 18 years or older without significant comorbidities that precluded surgical exploration with suspicious pulmonary nodules requiring surgical biopsy were included in the study. Interventions SGM-101 (10 mg) was infused up to 5 days before index operation, and pulmonary nodules were imaged using a near-infrared camera system with a dedicated thoracoscope. Main Outcomes and Measures SGM-101 localization to pulmonary nodules and its correlation with CEACAM5 glycoprotein expression by the tumor as quantified by tumor and normal pulmonary parenchymal fluorescence. Results Ten patients (5 per group; 5 male and 5 female; median [IQR] age, 66 [58-69] years) with 14 total lesions (median [range] lesion size, 0.91 [0.90-2.00] cm) were enrolled in the study. In the control group of 4 patients (1 patient did not undergo surgical resection because of abnormal preoperative cardiac clearance findings that were not deemed related to SGM-101 infusion), the mean (SD) lesion size was 1.33 (0.48) cm, 2 patients had elevated serum CEA markers, and 2 patients had normal serum CEA levels. Of the 4 patients who underwent surgical intervention, those with 2+ and 3+ tissue CEACAM5 expression had excellent tumor fluorescence, with a mean (SD) tumor to background ratio of 3.11 (0.45). In the patient cohort, the mean (SD) lesion size was 0.68 (0.22) cm, and no elevations in serum CEA levels were found. Lack of SGM-101 fluorescence was associated with benign lesions and with lack of CEACAM5 staining. Conclusions and Relevance This in-human proof-of-principle nonrandomized controlled trial demonstrated SGM-101 localization to CEACAM5-positive tumors with the detection of real-time near-infrared fluorescence in situ, ex vivo, and by immunofluorescence microscopy. These findings suggest that SGM-101 is a safe, receptor-specific, and feasible intraoperative molecular imaging fluorochrome that should be further evaluated in randomized clinical trials. Trial Registration ClinicalTrials.gov identifier: NCT04315467.
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Affiliation(s)
- Feredun Azari
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - Ruben P J Meijer
- Centre for Human Drug Research, Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Gregory T Kennedy
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - Andrew Hanna
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Ashley Chang
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - Bilal Nadeem
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - Azra Din
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - André Pèlegrin
- SurgiMab, Montpellier, France
- Institute of Cancer Research of Montpellier, University of Montpellier, Montpellier, France
| | | | | | - Neil T Sullivan
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - John Kucharczuk
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
| | - Linda W Martin
- Department of Thoracic Surgery, University of Virginia School of Medicine, Charlottesville
| | - Alexander L Vahrmeijer
- Centre for Human Drug Research, Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Sunil Singhal
- Department of Thoracic Surgery, University of Pennsylvania, Philadelphia
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25
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Onozato Y, Iwata T, Uematsu Y, Shimizu D, Yamamoto T, Matsui Y, Ogawa K, Kuyama J, Sakairi Y, Kawakami E, Iizasa T, Yoshino I. Predicting pathological highly invasive lung cancer from preoperative [ 18F]FDG PET/CT with multiple machine learning models. Eur J Nucl Med Mol Imaging 2023; 50:715-726. [PMID: 36385219 PMCID: PMC9852187 DOI: 10.1007/s00259-022-06038-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE The efficacy of sublobar resection of primary lung cancer have been proven in recent years. However, sublobar resection for highly invasive lung cancer increases local recurrence. We developed and validated multiple machine learning models predicting pathological invasiveness of lung cancer based on preoperative [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomography (CT) radiomic features. METHODS Overall, 873 patients who underwent lobectomy or segmentectomy for primary lung cancer were enrolled. Radiomics features were extracted from preoperative PET/CT images with the PyRadiomics package. Seven machine learning models and an ensemble of all models (ENS) were evaluated after 100 iterations. In addition, the probability of highly invasive lung cancer was calculated in a nested cross-validation to assess the calibration plot and clinical usefulness and to compare to consolidation tumour ratio (CTR) on CT images, one of the generally used diagnostic criteria. RESULTS In the training set, when PET and CT features were combined, all models achieved an area under the curve (AUC) of ≥ 0.880. In the test set, ENS showed the highest mean AUC of 0.880 and smallest standard deviation of 0.0165, and when the cutoff was 0.5, accuracy of 0.804, F1 of 0.851, precision of 0.821, and recall of 0.885. In the nested cross-validation, the AUC of 0.882 (95% CI: 0.860-0.905) showed a high discriminative ability, and the calibration plot indicated consistency with a Brier score of 0.131. A decision curve analysis showed that the ENS was valid with a threshold probability ranging from 3 to 98%. Accuracy showed an improvement of more than 8% over the CTR. CONCLUSION The machine learning model based on preoperative [18F]FDG PET/CT images was able to predict pathological highly invasive lung cancer with high discriminative ability and stability. The calibration plot showed good consistency, suggesting its usefulness in quantitative risk assessment.
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Affiliation(s)
- Yuki Onozato
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Takekazu Iwata
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Yasufumi Uematsu
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Daiki Shimizu
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Takayoshi Yamamoto
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Yukiko Matsui
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Kazuyuki Ogawa
- Division of Nuclear Medicine, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Junpei Kuyama
- Division of Nuclear Medicine, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Yuichi Sakairi
- Department of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Eiryo Kawakami
- Department of Artificial Intelligence Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Toshihiko Iizasa
- Division of Thoracic Surgery, Chiba Cancer Centre, 666-2, Nitona-Cho, Chuo-Ku, Chiba, 260-8717 Japan
| | - Ichiro Yoshino
- Department of General Thoracic Surgery, Chiba University Graduate School of Medicine, Chiba, Japan
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Zhang X, Fan X, Sun C, Wang L, Miao Y, Wang L, Yang P, Xu Y, Ren X, Wu X, Xu S. A novel NGS-based diagnostic algorithm for classifying multifocal lung adenocarcinomas in pN0M0 patients. J Pathol Clin Res 2022; 9:108-120. [PMID: 36579550 PMCID: PMC9896159 DOI: 10.1002/cjp2.306] [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: 09/13/2022] [Revised: 10/26/2022] [Accepted: 11/23/2022] [Indexed: 12/30/2022]
Abstract
The classification of multifocal lung adenocarcinomas (MLAs), including multiple primary lung adenocarcinomas (MPLAs) and intrapulmonary metastases (IPMs), has great clinical significance in staging and treatment determination. However, the application of molecular approaches in pN0M0 MLA diagnosis has not been well investigated. Here, we performed next-generation sequencing (NGS) analysis in 45 pN0M0 MLA patients (101 lesion pairs) who were initially diagnosed as having MPLA by comprehensive histologic assessment (CHA). Five additional patients with intrathoracic metastases were used as positive controls, while 197 patients with unifocal lung adenocarcinomas (425 random lesion pairs) were used as negative controls. By utilizing a predefined NGS criterion, all IPMs in the positive control group could be accurately classified, whereas 13 lesion pairs (3.1%) in the negative control cohort were misdiagnosed as IPMs. Additionally, 14 IPM lesion pairs were diagnosed in the study group, with at least 7 misdiagnoses. We thus developed a refined algorithm, incorporating both NGS and histologic results, that could correctly diagnose all the known MPLAs and IPMs. In particular, all IPMs identified by the refined algorithm were diagnosed to be IPMs or suspected IPMs by CHA reassessment. The refined algorithm-diagnosed MPLAs patients also had significantly better progression-free survival than the refined algorithm-diagnosed IPMs (p < 0.0001), which is superior to conventional NGS or CHA diagnoses. Overall, we developed an NGS-based algorithm that could accurately distinguish IPMs from MPLAs in MLA patients. Our results demonstrate a promising clinical utility of NGS to complement traditional CHA-based MLA diagnosis and help determine patient staging and treatment.
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Affiliation(s)
- Xin Zhang
- Department of Thoracic SurgeryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Xiaoxi Fan
- Department of Thoracic SurgeryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Changbo Sun
- Department of Thoracic SurgeryThe First Hospital of China Medical UniversityShenyangLiaoningPR China,Deparment of Thoracic SurgeryThe University of Tokyo Graduate School of MedicineTokyoJapan
| | - Liang Wang
- Department of PathologyThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Yuan Miao
- Department of PathologyThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Liming Wang
- Department of Thoracic SurgeryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
| | - Peng Yang
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.NanjingJiangsuPR China
| | - Yang Xu
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.NanjingJiangsuPR China
| | - Xue Ren
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.NanjingJiangsuPR China
| | - Xue Wu
- Geneseeq Research InstituteNanjing Geneseeq Technology Inc.NanjingJiangsuPR China
| | - Shun Xu
- Department of Thoracic SurgeryThe First Hospital of China Medical UniversityShenyangLiaoningPR China
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Xu L, Su H, Hou L, Wang F, Xie H, She Y, Gao J, Zhao S, Dai C, Xie D, Zhu Y, Wu C, Zhao D, Chen C. The IASLC Proposed Grading System Accurately Predicts Prognosis and Mediastinal Nodal Metastasis in Patients With Clinical Stage I Lung Adenocarcinoma. Am J Surg Pathol 2022; 46:1633-1641. [PMID: 36224092 DOI: 10.1097/pas.0000000000001876] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The International Association for the Study of Lung Cancer (IASLC) recently proposed a new grading system for lung adenocarcinoma (LUAD). We aimed to validate the prognostic performance of the grading system and explore its role in guiding the strategy of lymph node (LN) dissection. We retrospectively reviewed 1029 patients with clinical stage I LUAD who underwent surgery between 2011 and 2013. The association between mediastinal nodal metastasis and grading system was evaluated. To investigate the value of the grading system in guiding LN dissection strategies, 3 pathologists evaluated the feasibility of identifying the grading system using frozen section (FS). The differences in prognosis between all neighboring grades were highly significant based on the grading system ( P <0.001). Notably, almost no grade 1 LUAD (1.4%) had pN2 disease, whereas higher rates were found in grade 2 LUAD (9.6%) and grade 3 LUAD (18.3%) ( P <0.001). Multivariate logistic regression analysis revealed that higher tumor grade was an independent predictor of mediastinal nodal metastasis ( P =0.002). Moreover, limited mediastinal LN dissection had equivalent prognosis in grade 1 LUAD, but significantly worse prognosis in grade 2 and grade 3 LUAD than systematic mediastinal LN dissection. The overall accuracy of using intraoperative FS to identify the IASLC grading system was 85.4% (κ=0.765) with substantial agreement. The IASLC grading system could accurately stratify prognosis and predict mediastinal nodal metastasis in patients with clinical stage I LUAD. FS was feasible for identifying the IASLC grading system.
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Affiliation(s)
- Long Xu
- Departments of Thoracic Surgery
| | - Hang Su
- Departments of Thoracic Surgery
| | - Likun Hou
- Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine
| | | | - Huikang Xie
- Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine
| | | | | | - Shengnan Zhao
- Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine
| | | | | | | | - Chunyan Wu
- Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine
| | | | - Chang Chen
- Departments of Thoracic Surgery
- Clinical Center for Thoracic Surgery Research, Tongji University, Shanghai, People's Republic of China
- The First People's Hospital of Linhai, Taizhou, Zhejiang, China
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Qin L, Sun Y, Zhu R, Hu B, Wu J. Clinicopathological and CT features of tumor spread through air space in invasive lung adenocarcinoma. Front Oncol 2022; 12:959113. [PMID: 36212429 PMCID: PMC9537588 DOI: 10.3389/fonc.2022.959113] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTumor spread through air spaces (STAS) has recently been reported as a novel invasive pattern in lung adenocarcinoma. Thus, this study aimed to investigate the clinicopathological and radiological features in invasive lung adenocarcinoma with tumor STAS.MethodsData of 503 invasive lung adenocarcinoma patients who underwent surgery between 1 January 2015 and 31 December 2021 were collected. The correlations between STAS presence and clinicopathological and radiological characteristics were analyzed. Statistical analysis was performed using SPSS 22.0.ResultsAmong the 503 patients with invasive adenocarcinoma, 247 (47.9%) and 262 (52.1%) patients were positive and negative for STAS, respectively. Compared to STAS-negative adenocarcinoma, STAS was more common in papillary, micropapillary, and solid tumors (p < 0.01); STAS was associated with advanced pT (p = 0.024), pN (p < 0.001), and pTNM (p < 0.001) stage, more lymph node metastases (p < 0.01), more pleural invasion (p < 0.01), and more neurovascular invasion (p = 0.025). The maximum diameter (p < 0.01), the maximum diameters of the solid component (p < 0.01), and the consolidation/tumor ratio (CTR, p < 0.01) were significantly larger in STAS-positive than in STAS-negative adenocarcinoma. Other common computed tomography (CT) features of adenocarcinomas, i.e., lobulation (p < 0.01), spiculation (p < 0.01), vacuole (p < 0.01), air bronchogram (p = 0.020), vascular convergence (p < 0.01), and pleural indentation (p < 0.01) were significantly associated with STAS. In a multivariable analysis, the maximal diameter of the solid component (odds ratio [OR], 2.505; 95% confidence interval [CI], 1.886–3.329), vacuole (OR, 3.301; 95% CI, 1.822–5.980), and spiculation (OR, 2.162; 95% CI, 1.221–3.829) were independent predictors of STAS. The area under the curve (AUC) of the maximal diameter of the solid component was 0.757 (95% CI, 0.714–0.799; p < 0.001), the sensitivity was 73.9%, and the specificity was 69.1% at a cutoff value of 1.18 cm.ConclusionSTAS was significantly correlated with several invasive clinicopathological and radiological characteristics, and the maximal diameter was an independent predictor of STAS. These results will prove helpful in identifying STAS-positive adenocarcinoma by CT before surgical resection.
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Affiliation(s)
- Lili Qin
- Graduate School of Tianjin Medical University, Tianjin, China
- Department of Radiology, Dalian Public Health Clinical Center, Dalilan, China
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalilan, China
| | - Yubing Sun
- Department of Interventional, Affiliated Xinhua Hospital of Dalian University, Dalilan, China
| | - Ruiping Zhu
- Department of Pathology, Affiliated Zhongshan Hospital of Dalian University, Dalilan, China
| | - Bo Hu
- Department of Pathology, Affiliated Xinhua Hospital of Dalian University, Dalilan, China
| | - Jianlin Wu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalilan, China
- *Correspondence: Jianlin Wu,
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Impact of High-Grade Patterns in Early-Stage Lung Adenocarcinoma: A Multicentric Analysis. Lung 2022; 200:649-660. [PMID: 35988096 PMCID: PMC9526683 DOI: 10.1007/s00408-022-00561-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 08/03/2022] [Indexed: 12/02/2022]
Abstract
Objective The presence of micropapillary and solid adenocarcinoma patterns leads to a worse survival and a significantly higher tendency to recur. This study aims to assess the impact of pT descriptor combined with the presence of high-grade components on long-term outcomes in early-stage lung adenocarcinomas. Methods We retrospectively collected data of consecutive resected pT1-T3N0 lung adenocarcinoma from nine European Thoracic Centers. All patients who underwent a radical resection with lymph-node dissection between 2014 and 2017 were included. Differences in Overall Survival (OS) and Disease-Free Survival (DFS) and possible prognostic factors associated with outcomes were evaluated also after performing a propensity score matching to compare tumors containing non-high-grade and high-grade patterns. Results Among 607 patients, the majority were male and received a lobectomy. At least one high-grade histological pattern was seen in 230 cases (37.9%), of which 169 solid and 75 micropapillary. T1a-b-c without high-grade pattern had a significant better prognosis compared to T1a-b-c with high-grade pattern (p = 0.020), but the latter had similar OS compared to T2a (p = 0.277). Concurrently, T1a-b-c without micropapillary or solid patterns had a significantly better DFS compared to those with high-grade patterns (p = 0.034), and it was similar to T2a (p = 0.839). Multivariable analysis confirms the role of T descriptor according to high-grade pattern both for OS (p = 0.024; HR 1.285 95% CI 1.033–1.599) and DFS (p = 0.003; HR 1.196, 95% CI 1.054–1.344, respectively). These results were confirmed after the propensity score matching analysis. Conclusions pT1 lung adenocarcinomas with a high-grade component have similar prognosis of pT2a tumors.
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Xie S, Liu Q, Han Y, Wang S, Deng H, Liu G. Adjuvant chemotherapy can benefit the survival of stage I lung adenocarcinoma patients with tumour spread through air spaces after resection: Propensity-score matched analysis. Front Oncol 2022; 12:905958. [PMID: 36052246 PMCID: PMC9424854 DOI: 10.3389/fonc.2022.905958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/25/2022] [Indexed: 11/29/2022] Open
Abstract
Background It is still unclear whether stage I lung adenocarcinoma patients with tumour spread through air spaces (STAS) can benefit from postoperative adjuvant chemotherapy (ACT) after lobectomy. This study investigated the effect of ACT on the postoperative survival of patients with stage I (STAS+) lung adenocarcinoma. Methods We retrospectively analysed the clinical data of stage I (STAS+) invasive lung adenocarcinoma patients who underwent lobectomy in the Department of Thoracic Surgery of our hospital from January 1, 2013 to January 1, 2016. Propensity score matching (PSM) was performed to group patients to investigate whether ACT could lead to better prognosis of patients. Results A total of 593 patients with stage I (STAS+) lung adenocarcinoma were enrolled. The study after PSM included 406 patients. Kaplan–Meier survival analysis showed the experimental group had a better 3-year recurrence-free survival (RFS) rate (p = 0.037) and the 5-year RFS rate (p = 0.022) than the control group. It also had higher 5-year overall survival (p = 0.017). The multivariate analysis by Cox proportional hazard regression model showed that stage I STAS+ lung adenocarcinoma patients with lymphatic vessel invasion (HR: 1.711, 95% CI: 1.052-2.784; p = 0.045), vascular invasion (HR: 5.014, 95% CI: 3.154-7.969; p < 0.001), and visceral pleural invasion (HR: 2.086, 95% CI: 1.162-3.743; p = 0.014), and without ACT (HR: 1.675, 95% CI: 1.043-2.689; p = 0.033) had a significant survival disadvantage. Conclusion ACT can boost the postoperative survival of patients with stage I (STAS+) lung adenocarcinoma.
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Affiliation(s)
- Shaonan Xie
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qingyi Liu
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- *Correspondence: Qingyi Liu,
| | - Yaqing Han
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shize Wang
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Huiyan Deng
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Guangjie Liu
- Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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18F FDG-PET/CT analysis of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma. Ann Nucl Med 2022; 36:897-903. [PMID: 35829825 DOI: 10.1007/s12149-022-01773-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/04/2022] [Indexed: 11/01/2022]
Abstract
OBJECTIVE The purpose of this retrospective study was to investigate the utility of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F FDG-PET/CT) to predict spread through air spaces (STAS) in clinical stage I lung adenocarcinoma. METHODS Between April 2020 and January 2022, 52 patients (55 lesions) who underwent surgery for clinical stage I lung adenocarcinoma were enrolled. The lesions were divided into two groups according to the presence of STAS. 18F FDG-PET/CT parameters, specifically the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were calculated. The SUVmax, MTV, and TLG were compared between the two groups upon surgical pathological examination. Receiver operating characteristic (ROC) curve analysis was performed to identify a cut-off value. RESULTS Nineteen lesions (35%) were positive for STAS and 36 lesions were negative for STAS. According to the presence of STAS, significant differences were detected in the SUVmax (5.21 [range 1.52-16.50] vs. 2.42 [range 0.74-11.80], p = 0.0040) but not MTV (3.44 [range 0.65-24.36] vs. 2.95 [0.00-20.07], p = 0.20) and TLG (7.92 [range 0.93-47.82] vs. 5.63 [0.00-58.66], p = 0.14). SUVmax had an AUC value of 0.74 (95% CI 0.61-0.87) with a sensitivity of 89.5% and specificity of 52.8% at a cut-off of 2.48. CONCLUSIONS SUVmax rather than MTV and TLG were shown to be valuable indices for the prediction of STAS in clinical stage I lung adenocarcinoma.
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Takehana K, Sakamoto R, Fujimoto K, Matsuo Y, Nakajima N, Yoshizawa A, Menju T, Nakamura M, Yamada R, Mizowaki T, Nakamoto Y. Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma. Sci Rep 2022; 12:10323. [PMID: 35725754 PMCID: PMC9209514 DOI: 10.1038/s41598-022-14400-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
The spread through air spaces (STAS) is recognized as a negative prognostic factor in patients with early-stage lung adenocarcinoma. The present study aimed to develop a machine learning model for the prediction of STAS using peritumoral radiomics features extracted from preoperative CT imaging. A total of 339 patients who underwent lobectomy or limited resection for lung adenocarcinoma were included. The patients were randomly divided (3:2) into training and test cohorts. Two prediction models were created using the training cohort: a conventional model based on the tumor consolidation/tumor (C/T) ratio and a machine learning model based on peritumoral radiomics features. The areas under the curve for the two models in the testing cohort were 0.70 and 0.76, respectively (P = 0.045). The cumulative incidence of recurrence (CIR) was significantly higher in the STAS high-risk group when using the radiomics model than that in the low-risk group (44% vs. 4% at 5 years; P = 0.002) in patients who underwent limited resection in the testing cohort. In contrast, the 5-year CIR was not significantly different among patients who underwent lobectomy (17% vs. 11%; P = 0.469). In conclusion, the machine learning model for STAS prediction based on peritumoral radiomics features performed better than the C/T ratio model.
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Affiliation(s)
- Keiichi Takehana
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoinkawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koji Fujimoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukinori Matsuo
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoinkawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Naoki Nakajima
- Department of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Akihiko Yoshizawa
- Department of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshi Menju
- Department of Thoracic Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mitsuhiro Nakamura
- Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryo Yamada
- Department of Statistical Genetics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takashi Mizowaki
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoinkawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Detterbeck FC, Mase VJ, Li AX, Kumbasar U, Bade BC, Park HS, Decker RH, Madoff DC, Woodard GA, Brandt WS, Blasberg JD. A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 2: systematic review of evidence regarding resection extent in generally healthy patients. J Thorac Dis 2022; 14:2357-2386. [PMID: 35813747 PMCID: PMC9264068 DOI: 10.21037/jtd-21-1824] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/05/2022] [Indexed: 11/06/2022]
Abstract
Background Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, stereotactic body radiotherapy, thermal ablation), weighing multiple outcomes (e.g., short-, intermediate-, long-term) and multiple aspects of each (e.g., magnitude of a difference, the degree of confidence in the evidence, and the applicability to the patient and setting at hand). A structure is needed to summarize the relevant evidence for an individual patient and to identify which outcomes have the greatest impact on the decision-making. Methods A PubMed systematic review from 2000-2021 of outcomes after lobectomy, segmentectomy and wedge resection in generally healthy patients is the focus of this paper. Evidence was abstracted from randomized trials and non-randomized comparisons with at least some adjustment for confounders. The analysis involved careful assessment, including characteristics of patients, settings, residual confounding etc. to expose degrees of uncertainty and applicability to individual patients. Evidence is summarized that provides an at-a-glance overall impression as well as the ability to delve into layers of details of the patients, settings and treatments involved. Results In healthy patients there is no short-term benefit to sublobar resection vs. lobectomy in randomized and non-randomized comparisons. A detriment in long-term outcomes is demonstrated by adjusted non-randomized comparisons, more marked for wedge than segmentectomy. Quality-of-life data is confounded by the use of video-assisted approaches; evidence suggests the approach has more impact than the resection extent. Differences in pulmonary function tests by resection extent are not clinically meaningful in healthy patients, especially for multi-segmentectomy vs. lobectomy. The margin distance is associated with the risk of recurrence. Conclusions A systematic, comprehensive summary of evidence regarding resection extent in healthy patients with attention to aspects of applicability, uncertainty and effect modifiers provides a foundation on which to build a framework for individualized clinical decision-making.
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Affiliation(s)
- Frank C. Detterbeck
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Vincent J. Mase
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew X. Li
- Department of General Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Ulas Kumbasar
- Department of Thoracic Surgery, Hacettepe University School of Medicine, Ankara, Turkey
| | - Brett C. Bade
- Department of Pulmonary Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Henry S. Park
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Roy H. Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - David C. Madoff
- Department of Radiology & Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Gavitt A. Woodard
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Whitney S. Brandt
- Department of Cardiothoracic Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Justin D. Blasberg
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
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Peng T, Wightman SC, Ding L, Lieu DK, Atay SM, David EA, Kim AW. Lobectomy offers improved survival outcomes relative to segmentectomy for >2 but ≤4 cm non–small cell lung cancer tumors. JTCVS OPEN 2022; 10:356-367. [PMID: 36004221 PMCID: PMC9390142 DOI: 10.1016/j.xjon.2022.03.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 03/04/2022] [Indexed: 11/19/2022]
Abstract
Objective The objective was to compare overall survival (OS) between lobectomy and segmentectomy for patients with non–small cell lung cancers (NSCLCs) > 2 but ≤4 cm. Methods The National Cancer Database was queried to identify treatment-naïve patients with NSCLC tumors >2 but ≤4 cm. Eligible patients were diagnosed with pT1 or T2 N0 M0 disease, underwent lobectomy or segmentectomy, and received no adjuvant therapy. OS was compared using the Kaplan-Meier method, and the Cox proportional-hazards model was used to identify prognostic factors for death. Propensity score matching was performed to minimize the effects of potential confounders. Results Included were 32,792 patients: lobectomy (n = 31,353) and segmentectomy (n = 1439). Five-year OS was improved following lobectomy over segmentectomy for patients with >2 but ≤4 cm NSCLCs (62.3% vs 52.6%; P < .0001). Further stratification demonstrated improved 5-year OS following lobectomy over segmentectomy: >2 but ≤3 cm (64.9% vs 54.3%; P < .0001) and >3 but ≤4 cm (56.9% vs 47.6%; P = .0003). In patients with a Charlson-Deyo comorbidity index of 0, 5-year OS was greater following lobectomy for >2 but ≤4 cm tumors (67.1% vs 62.1%; P = .03). Further stratification demonstrated improved 5-year OS following lobectomy for patients with Charlson-Deyo comorbidity index of 0 and > 3 but ≤4 cm tumors (61.8% vs 54.6%; P = .02). Segmentectomy was prognostic for increased risk of death in the year 1 through 5 postoperative period (hazard ratio, 1.35; P < .0001). Five-year OS remained greater following lobectomy after propensity score matching (59.6% vs 52.7%; P = .02). Conclusions Lobectomy is associated with superior 5-year OS compared with segmentectomy and may be preferred for NSCLC tumors >2 but ≤4 cm when feasible.
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Affiliation(s)
- Terrance Peng
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
| | - Sean C. Wightman
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
| | - Li Ding
- Department of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, Calif
| | - Dustin K. Lieu
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
| | - Scott M. Atay
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
| | - Elizabeth A. David
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
| | - Anthony W. Kim
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, Los Angeles, Calif
- Address for reprints: Anthony W. Kim, MD, Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine of USC, 1510 San Pablo St, Suite 514, Los Angeles, CA 90033.
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Impact of Preoperative Diagnostic Biopsy Procedure on Spread Through Airspaces and Related Outcomes in Resected Stage I Non-Small Cell Lung Cancer. Chest 2022; 162:1199-1212. [DOI: 10.1016/j.chest.2022.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 05/02/2022] [Accepted: 05/02/2022] [Indexed: 12/25/2022] Open
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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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37
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Wang Y, Yang X, Liu B, Yan S, Liu M, Li X, Li S, Lv C, Ma Y, Zhou L, Song Z, Xv W, Yang Y, Lin D, Wu N. Percentage of Newly Proposed High-Grade Patterns Is Associated with Prognosis of Pathological T1-2N0M0 Lung Adenocarcinoma. Ann Surg Oncol 2022; 29:10.1245/s10434-022-11444-0. [PMID: 35211858 DOI: 10.1245/s10434-022-11444-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/24/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the prognostic value of the percentage of high-grade patterns (micropapillary, solid, and complex glands) in early-stage lung adenocarcinoma (LUAD). METHODS A total of 1049 patients undergoing radical surgery with pathological T1-2N0M0 LUAD were screened retrospectively, and 191 patients were involved in the final analysis. Disease-free survival (DFS) was evaluated using the Kaplan-Meier curve and Cox regression analysis. The optimal cut-off value was determined using maximally selected rank statistics. RESULTS The entire cohort was divided into quartile groups based on the percentage of high-grade patterns: Group 1 (≤ 30%), Group 2 (31-55%), Group 3 (56-85%), and Group 4 (≥ 86%). There were significant differences in smoking history (P = 0.041), EGFR mutations (P < 0.001), and ALK rearrangement (P = 0.010) between the four groups, but no significant differences in other clinicopathological features. Kaplan-Meier analysis showed that a higher percentage of high-grade patterns predicted worse DFS (P = 0.001), and multivariate analysis indicated that the percentage of high-grade patterns was an independent predictor (Group 2 vs. Group 1, HR = 2.136, P = 0.228; Group 3 vs. Group 1, HR = 3.355, P = 0.035; Group 4 vs. Group 1, HR = 5.147, P = 0.003, respectively). A cut-off value of 20% (P = 0.048) and 50% (P <0.001) for high-grade patterns were tested, and both revealed a significant difference in distinguishing DFS between subgroups. CONCLUSIONS The percentage of high-grade patterns is associated with the prognosis of early-stage invasive LUAD. A higher percentage indicates a worse prognosis.
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Affiliation(s)
- Yaqi Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Xin Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Bing Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Shi Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Xiang Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Shaolei Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Chao Lv
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Yuanyuan Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Lixin Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Zhijie Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Wantong Xv
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Yue Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Dongmei Lin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
| | - Nan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
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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] [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 Oncology, National 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 Drugs, Beijing, China
| | - Le Tang
- Department of Medical Oncology, National 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 Drugs, Beijing, China
| | - Liyuan Dai
- Department of Clinical Laboratory, National 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 Drugs, Beijing, China
| | - Yuankai Shi
- Department of Medical Oncology, National 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 Drugs, Beijing, China
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39
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Zhou F, Villalba JA, Sayo TMS, Narula N, Pass H, Mino-Kenudson M, Moreira AL. Assessment of the feasibility of frozen sections for the detection of spread through air spaces (STAS) in pulmonary adenocarcinoma. Mod Pathol 2022; 35:210-217. [PMID: 34326485 PMCID: PMC8792146 DOI: 10.1038/s41379-021-00875-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 02/03/2023]
Abstract
Spread through air spaces (STAS) is reportedly associated with worse prognosis in sublobar resections of lung adenocarcinoma. Recently, it was proposed that STAS detected on frozen sections can be an indication for lobectomy instead of sublobar resection. We undertook this study to evaluate the reliability of STAS assessment on frozen sections compared to permanent sections, as well as the associations among STAS, tumor grade, and recurrence-free survival (RFS) after sublobar resection. A total of 163 stage I lung adenocarcinoma resections with frozen sections were identified retrospectively. For each case, and for frozen and permanent sections separately, the presence or absence of STAS, as well as the tumor grade, were recorded. Compared to permanent sections, STAS detection on frozen sections had low sensitivity (55%), low positive predictive value (48%), and fair agreement (K = 0.34), whereas there was higher specificity (80%) and negative predictive value (85%). Accuracy was 74%. Tumor grade assessment on frozen sections showed higher sensitivity (77%), positive predictive value (90%), agreement (K = 0.72), specificity (94%), and accuracy (87%), and the same negative predictive value (85%). High-grade histology on frozen sections was associated with shorter RFS (p = 0.02), whereas STAS on frozen sections was not (p = 0.47). Our results suggest that the intraoperative detection of STAS has low sensitivity and positive predictive value. False-positive results may lead to overtreatment of patients with lung cancer. The determination of tumor grade on frozen sections offers better sensitivity and specificity, plus it is associated with RFS, whereas STAS on frozen sections is not. Further study is needed to explore the utility of assessing tumor grade on frozen sections.
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Affiliation(s)
- Fang Zhou
- Department of Pathology, New York University Langone Health, New York, NY, USA.
| | - Julian A Villalba
- Department of Pathology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA
| | - Treah May S Sayo
- Department of Pathology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA
- Lung Center of the Philippines, Metro Manila, Philippines
| | - Navneet Narula
- Department of Pathology, New York University Langone Health, New York, NY, USA
| | - Harvey Pass
- Department of Cardiothoracic Surgery, New York University Langone Health, New York, NY, USA
| | - Mari Mino-Kenudson
- Department of Pathology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA
| | - Andre L Moreira
- Department of Pathology, New York University Langone Health, New York, NY, USA
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40
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Han Y, Luo Y. Primary lung invasive adenocarcinoma misdiagnosed as infectious pneumonia in 18F-FDG PET/CT:A case report. Radiol Case Rep 2022; 17:808-811. [PMID: 35024081 PMCID: PMC8733036 DOI: 10.1016/j.radcr.2021.12.023] [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: 11/25/2021] [Revised: 12/12/2021] [Accepted: 12/13/2021] [Indexed: 11/24/2022] Open
Abstract
A 64-year-old woman presented to our hospital with cough and a large amount of white foam sputum, F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) showed diffuse ground-glass opacities in both lungs, which was considered as infectious pneumonia. However, after ineffective anti-infection, the primary invasive mucinous adenocarcinoma was finally diagnosed. Pulmonary invasive mucinous adenocarcinoma is rare and special subtype of lung adenocarcinoma, it has a variety of imaging manifestations. When intense tracer uptake, air bronchial sign, honeycomb sign present in diffuse ground-glass opacities in F-FDG PET/CT, lung invasive mucinous adenocarcinoma should be highly suspected.
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Affiliation(s)
- Yuping Han
- Department of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, 730030, China
| | - Yongjun Luo
- Department of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, 730030, China
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41
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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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42
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Eriguchi T, Tsukamoto N, Kumabe A, Ogata T, Inoue Y, Sugawara A. Suitability of Metastatic Lung Tumors for Stereotactic Body Radiotherapy. Cancer Invest 2021; 40:378-386. [PMID: 34894945 DOI: 10.1080/07357907.2021.2017950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
We investigated factors influencing local control of lung metastases treated with stereotactic body radiotherapy (SBRT) and determined the type of lesions for which SBRT is more suitable. Ninety-six patients and 196 tumors were included. Median follow-up duration was 32.0 months (range 4.7-95.8). The two-year local recurrence rate was 15.2% (95% confidence interval: 10.2-21.3). Multivariate analysis revealed biological effective dose, ultracentral tumor location, reirradiation, and prior chemotherapy as significant factors. SBRT is suitable for lung metastases, especially for peripheral tumors and those located in the inner lung parenchyma. For ultracentral lesions and recurrent lesions after SBRT, metastasectomy is recommended.
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Affiliation(s)
- Takahisa Eriguchi
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan.,Radiation Oncology Center, Ofuna Chuo Hospital, Kamakura, Japan.,Department of Radiation Oncology, Tokai University School of Medicine, Isehara, Japan
| | - Nobuhiro Tsukamoto
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Atsuhiro Kumabe
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Takeru Ogata
- Department of Radiation Oncology, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Yoshimasa Inoue
- Department of Thoracic Surgery, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Akitomo Sugawara
- Department of Radiation Oncology, Tokai University School of Medicine, Isehara, Japan
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43
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Souza CA, Gomes MM. Aerogenous Metastasis and Spread Through the Air Spaces - Distinct Entities or Spectrum of the Same Process? Thorac Surg Clin 2021; 31:477-483. [PMID: 34696860 DOI: 10.1016/j.thorsurg.2021.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Clinicopathological and imaging studies indicate that metastatic spread of cancer cells through the airways may occur in primary lung cancer. The term aerogenous metastasis was been proposed years before the concept of spread through the airspaces (STAS) was introduced in the current World Health Organization classification. The pathogenesis of STAS has not been fully elucidated. The current definition of STAS is controversial and limited to early stage adenocarcinomas. In this article, existing knowledge on the pathogenesis, histology, imaging findings, and clinical and prognostic significance of these 2 entities is presented.
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Affiliation(s)
- Carolina A Souza
- Division of Thoracic Imaging, Department of Medical Imaging, Ottawa Hospital Research Institute, University of Ottawa, 501 Smyth Road, Ottawa K1H 8M2, Canada.
| | - Marcio M Gomes
- Department of Pathology and Laboratory Medicine, Ottawa Hospital Research Institute, University of Ottawa, 501 Smyth Road, Ottawa K1H 8M2, Canada
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Li J, Wang Y, Li J, Cao S, Che G. Meta-analysis of Lobectomy and Sublobar Resection for Stage I Non-small Cell Lung Cancer With Spread Through Air Spaces. Clin Lung Cancer 2021; 23:208-213. [PMID: 34799251 DOI: 10.1016/j.cllc.2021.10.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 09/28/2021] [Accepted: 10/10/2021] [Indexed: 02/05/2023]
Abstract
Surgery is the preferred treatment for early-stage non-small cell lung cancer (NSCLC). Numerous studies have shown that spread through air spaces (STAS) can predict the survival of patients with stage I NSCLC. However, for stage I NSCLC, it is not known whether sublobar resection or lobectomy should be performed if STAS is present. In the present study, we compared the survival outcomes of patients with STAS who underwent lobectomy versus those who underwent sublobar resection. A search was performed on the PubMed, Cochrane Library and EMBASE on March 6, 2021 to identify relevant studies. Predetermined criteria were utilized to screen studies. A meta-analysis was performed using hazard ratio (HR). In total, 13 studies involving 5947 patients were included in the meta-analysis. It was found that STAS was significantly correlated with worse RFS (HR = 2.58, 95% CI: 2.16-3.07) and OS (HR = 2.41, 95% CI: 1.97-2.95) in patients with stage I NSCLC. Lobectomy resulted in a longer RFS (HR = 2.59, 95% CI: 1.99-3.37) and OS (HR = 2.78, 95% CI: 1.92-4.02) than sublobar resection in stage I NSCLC patients with STAS. STAS is an independent prognostic factor in NSCLC. Lobectomy may be more effective for stage I NSCLC patients who underwent sublobar resection previously if STAS is present.
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Affiliation(s)
- Jialong Li
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jue Li
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Shangqi Cao
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Guowei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
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45
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Kim DH, Na KJ, Park IK, Kang CH, Kim YT, Park S. Long-Term Outcomes in Stage I Lung Cancer After Segmentectomy with a Close Resection Margin. J Chest Surg 2021; 54:361-368. [PMID: 34611084 PMCID: PMC8548195 DOI: 10.5090/jcs.21.045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/15/2021] [Accepted: 07/27/2021] [Indexed: 01/07/2023] Open
Abstract
Background In general, a 2-cm surgical margin is recommended for limited resection to obtain equivalent oncologic outcomes to lobectomy for lung cancer. This study aimed to examine the patterns of recurrence and prognostic factors for recurrence in patients with a close parenchymal resection margin. Methods From January 2009 to April 2017, 156 patients with stage I lung cancer who underwent segmentectomy with a close resection margin (<2 cm) were enrolled. Recurrence-free survival and overall survival were assessed. In addition, predisposing factors for recurrence were evaluated. Results The mean tumor size was 1.7±0.8 cm and the parenchymal resection margin was 1.1±0.6 cm. Recurrence developed in 17 (10.7%) of the 156 patients, and the 5-year recurrence-free survival rate was 88.9%. Distant metastasis (7.7%) was the predominant recurrence pattern. The isolated local recurrence rate was 1.9%. Multivariate Cox regression analysis revealed that age, tumor size, mediastinal lymph node dissection, postoperative complications, and histologic type were significant predisposing factors for recurrence. However, parenchymal margin distance did not significantly affect the long-term prognosis. Conclusion Segmentectomy with a close resection margin for early-stage lung cancer in selected patients resulted in acceptable recurrence and survival. However, patients with tumors larger than 2 cm, squamous cell carcinoma histology, and insufficient mediastinal evaluation should be carefully followed up for recurrence.
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Affiliation(s)
- Dae Hyeon Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
| | - Kwon Joong Na
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea.,Seoul National University Cancer Research Institute, Seoul, Korea
| | - Samina Park
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, Korea
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Sublobar Resection in Stage IA Non-Small Cell Lung Cancer: Role of Preoperative CT Features in Predicting Pathologic Lymphovascular Invasion and Postoperative Recurrence. AJR Am J Roentgenol 2021; 217:871-881. [PMID: 33978462 DOI: 10.2214/ajr.21.25618] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND. Prognostic factors on preoperative CT in stage IA non-small cell lung cancer (NSCLC) may help select patients for sublobar resection or lobectomy. OBJECTIVE. The purpose of this study was to identify CT features predictive of pathologic lymphovascular invasion (LVI) in stage IA NSCLC and to evaluate the features' prognostic value in patients who undergo sublobar resection. METHODS. This retrospective study included 904 patients (mean age, 62.0 years; 453 men, 451 women) who underwent lobectomy (n = 574) or sublobar resection (n = 330) for stage IA NSCLC. Two thoracic radiologists independently evaluated findings on pre-operative chest CT and then resolved discrepancies. Recurrences were identified from medical record review. Multivariable logistic regression was used to identify independent predictors of pathologic LVI. Multivariable Cox proportional hazards models were used to identify prognostic features. Interreader agreement was assessed. RESULTS. Pathologic LVI was present in 10.2% (92/904) of patients. It was present only in solid-dominant part-solid nodules (PSNs) and solid nodules and only in nodules with a solid portion diameter over 10 mm. Among solid-dominant PSNs and solid nodules with a solid portion diameter over 10 mm, independent (p < .05) predictors of pathologic LVI were peritumoral interstitial thickening (odds ratio [OR], 13.22) and pleural contact (defined as pleural contact measuring over one-quarter of the circumference of the nodule's solid portion) (OR, 2.45). Also among such nodules, peritumoral interstitial thickening achieved 80.4% sensitivity, 76.7% specificity, and 77.4% accuracy; pleural contact achieved 35.9% sensitivity, 82.5% specificity, and 74.3% accuracy; and presence of either feature achieved 90.2% sensitivity, 64.3% specificity, and 68.9% accuracy for predicting pathologic LVI. In patients undergoing sublobar resection, after adjusting for T category and operative type, recurrence-free survival (RFS) was independently (p < .05) predicted by solid-dominant PSN or solid nodule with a solid portion diameter over 10 mm also showing peritumoral interstitial thickening (hazard ratio [HR], 5.37) or also showing either peritumoral interstitial thickening or pleural contact (HR, 6.05). The interreader agreement kappa values were 0.67 for peritumoral interstitial thickening and 0.77 for pleural contact. CONCLUSION. Pathologic LVI occurred only in solid-dominant PSNs and solid nodules with solid portion over 10 mm. Among such nodules, peritumoral interstitial thickening and pleural contact independently predicted pathologic LVI and RFS. CLINICAL IMPACT. CT features may help select patients with stage IA NSCLC for sublobar resection rather than more extensive surgery.
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Cao L, Jia M, Sun PL, Gao H. Histopathologic features from preoperative biopsies to predict spread through air spaces in early-stage lung adenocarcinoma: a retrospective study. BMC Cancer 2021; 21:913. [PMID: 34380457 PMCID: PMC8359054 DOI: 10.1186/s12885-021-08648-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 07/20/2021] [Indexed: 12/14/2022] Open
Abstract
Background Although spread through air spaces (STAS) is a robust biomarker in surgically resected lung cancer, its application to biopsies is challenging. Moreover, limited resection is not an effective treatment for STAS-positive lung adenocarcinoma. This study aimed to identify histologic features from preoperative percutaneous transthoracic needle biopsies (PTNBs) to predict STAS status in the subsequently resected specimens, and thus help in selecting the surgical extent. Methods Between January 2014 and December 2015, 111 PTNB specimens and subsequent resection specimens from consecutive lung adenocarcinoma patients were retrospectively examined. Histopathologic features of PTNB specimens and presence of STAS in subsequent resection specimens were evaluated and correlations between them were analyzed statistically. Results The study participants had a mean age of 59 years (range, 35–81) and included 50 men and 61 women. Thirty-six patients were positive for STAS whereas 75 were negative. The micropapillary/solid histologic subtypes of lung adenocarcinoma (26 of 39; 66.7%; P < 0.001), necrotic/tumor debris (31 of 42; 73.8%; P < 0.001), intratumoral budding (ITB) (20 of 33; 60.6%; P < 0.001), desmoplasia (35 of 41; 85.4%; P < 0.001), and grade 3 nuclei (12 of 14; 85.7%; P < 0.001) were more common in STAS-positive tumors. Micropapillary/solid histologic subtype (OR, 1.35; 95% CI: 1.06, 1.67), ITB (OR, 1.64; 95% CI: 1.09, 2.83), desmoplasia (OR, 1.83; 95% CI: 1.36, 3.12), and N stage (N1 stage: OR, 1.37; 95% CI: 1.19, 1.87) (N2 stage: OR, 1.29; 95% CI: 1.07, 1.73) were independent predictors of STAS. Conclusions Micropapillary/solid histologic subtype, ITB, and desmoplasia in preoperative PTNB specimens were independently associated with STAS in the subsequent resection specimens. Therefore, these can predict STAS and may help to optimize therapeutic planning.
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Affiliation(s)
- Lanqing Cao
- Department of Pathology, The Second Hospital of Jilin University, 218 Ziqiang Road, Changchun, Jilin, 130041, China
| | - Meng Jia
- Department of Pathology, The Second Hospital of Jilin University, 218 Ziqiang Road, Changchun, Jilin, 130041, China
| | - Ping-Li Sun
- Department of Pathology, The Second Hospital of Jilin University, 218 Ziqiang Road, Changchun, Jilin, 130041, China.
| | - Hongwen Gao
- Department of Pathology, The Second Hospital of Jilin University, 218 Ziqiang Road, Changchun, Jilin, 130041, China
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Liang J, Wu Q, Ma S, Zhang S. [Pathological and Molecular Features of Lung Micropapillary Adenocarcinoma]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2021; 23:1007-1013. [PMID: 33203200 PMCID: PMC7679217 DOI: 10.3779/j.issn.1009-3419.2020.102.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
肺微乳头腺癌作为高级别肺腺癌,具频发转移、淋巴结浸润、复发率高和总体生存率低的临床特征。该亚型肿瘤中存在特征致癌因子通路的激活和肿瘤免疫微环境的建立。本文拟对近年来微乳头腺癌的病理学表现及分子学特征研究进展作一综述,旨在加深对微乳头型病变的认识,进而为制定特异性治疗策略奠定基础。
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Affiliation(s)
- Jiafeng Liang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine,
Hangzhou 310006, China
| | - Qiong Wu
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine,
Hangzhou 310006, China
| | - Shenglin Ma
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine,
Hangzhou 310006, China.,Department of Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine,
Hangzhou 310006, China
| | - Shirong Zhang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine,
Hangzhou 310006, China
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Yi E, Lee JH, Jung Y, Chung JH, Lee Y, Lee S. Clinical implication of tumour spread through air spaces in pathological stage I lung adenocarcinoma treated with lobectomy. Interact Cardiovasc Thorac Surg 2021; 32:64-72. [PMID: 33232453 DOI: 10.1093/icvts/ivaa227] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 08/21/2020] [Accepted: 09/03/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES The aim of this study was to evaluate the clinical implication of tumour spread through air spaces (STAS) as a prognostic factor in pathological stage I lung adenocarcinoma treated with lobectomy and to identify related parameters. METHODS Medical records of patients who underwent pulmonary lobectomy for stage I (American Joint Committee on Cancers eighth edition) lung adenocarcinomas between 2012 and February 2018 at our institutions were reviewed retrospectively. Patients with minimally invasive adenocarcinomas and tumours ≥3 cm in size were excluded. Included patients were classified into STAS (+) and STAS (-) groups. Clinical implications of STAS and recurrence in patients were investigated. RESULTS A total of 109 patients was analysed: 41 (37.6%) in the STAS (+) and 68 (62.4%) in the STAS (-) group. STAS was associated with larger consolidation diameter on chest tomography (≥1.5 cm; P = 0.006) or a higher invasive ratio (≥85%; P = 0.012) and presence of a micropapillary pattern in multivariable analysis (P = 0.003) The recurrence-free survival curve showed statistical difference (P = 0.008) with 3-year survival rates of 73.0% (9 patients) and 96.8% (2 patients) in the STAS (+) and STAS (-) group, respectively. However, no statistical significance was observed in the lung cancer-related survival curve (P = 0.648). The presence of STAS was an independent risk factor for recurrence in multivariable analysis (hazard ratio = 5.9, P = 0.031). CONCLUSIONS The presence of STAS could be an important risk factor for recurrence in patients with early-stage invasive lung adenocarcinoma treated with pulmonary lobectomy.
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Affiliation(s)
- Eunjue Yi
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul, Korea
| | - Jeong Hyeon Lee
- Department of Pathology, Korea University Anam Hospital, Seoul, Korea
| | - Younggi Jung
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul, Korea
| | - Jae Ho Chung
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul, Korea
| | - Youngseok Lee
- Department of Pathology, Korea University Anam Hospital, Seoul, Korea
| | - Sungho Lee
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul, Korea
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Qi L, Li X, He L, Cheng G, Cai Y, Xue K, Li M. Comparison of Diagnostic Performance of Spread Through Airspaces of Lung Adenocarcinoma Based on Morphological Analysis and Perinodular and Intranodular Radiomic Features on Chest CT Images. Front Oncol 2021; 11:654413. [PMID: 34249691 PMCID: PMC8268002 DOI: 10.3389/fonc.2021.654413] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 06/08/2021] [Indexed: 01/31/2023] Open
Abstract
Object STAS is associated with poor differentiation, KRAS mutation and poor recurrence-free survival. The aims of this study are to evaluate the ability of intra- and perinodular radiomic features to distinguish STAS at non-contrast CT. Patients and Methods This retrospective study included 216 patients with pathologically confirmed lung adenocarcinoma (STAS+, n = 56; STAS-, n = 160). Texture-based features were extracted from intra- and perinodular regions of 2, 4, 6, 8, 10, and 20 mm distances from the tumor edge using an erosion and expansion algorithm. Traditional radiologic features were also analyzed including size, consolidation tumor ratio (CTR), density, shape, vascular change, cystic airspaces, tumor-lung interface, lobulation, spiculation, and satellite sign. Nine radiomic models were established by using the eight separate models and a total of the eight VOIs (eight-VOI model). Then the prediction efficiencies of the nine radiomic models were compared to predict STAS of lung adenocarcinomas. Results Among the traditional radiologic features, CTR, unclear tumor-lung interface, and satellite sign were found to be associated with STAS significantly, and the AUCs were 0.796, 0.677, and 0.606, respectively. Radiomic model of combined tumor bodies and all the distances of perinodular areas (eight-VOI model) had better predictive efficiency for predicting STAS+ lung adenocarcinoma. The AUCs of the eight-VOI model in the training and verification sets were 0.907 (95%CI, 0.862-0.947) in the training set, and 0.897 (95%CI, 0.784-0.985) in the testing set, and 0.909 (95%CI, 0.863-0.949) in the external validation set, and the diagnostic accuracy in the external validation set was 0.849. Conclusion Radiomic features from intra- and perinodular regions of nodules can best distinguish STAS of lung adenocarcinoma.
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Affiliation(s)
- Lin Qi
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Xiaohu Li
- Department of Radiology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Linyang He
- Jianpei Technology Co., Ltd., Hangzhou, China
| | | | - Yongjun Cai
- Department of Pathology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Ke Xue
- Department of Plastic and Reconstructive Surgery, Shanghai 9th Peoples Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ming Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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