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Peng M, Yang L, Liao J, Le X, Dai F, Sun R, Wu F, Jiang Y, Tian R, Shao B, Zhou L, Wu M, Guo S, Xiang T. The novel DNA methylation marker FIBIN suppresses non-small cell lung cancer metastasis by negatively regulating ANXA2. Cell Signal 2024; 120:111197. [PMID: 38697447 DOI: 10.1016/j.cellsig.2024.111197] [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: 01/21/2024] [Revised: 04/10/2024] [Accepted: 04/28/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES The clinical T1 stage solid lung cancer with metastasis is a serious threat to human life and health. In this study, we performed RNA sequencing on T1 advanced-stage lung cancer and adjacent tissues to identify a novel biomarker and explore its roles in lung cancer. METHODS Quantitative reversed-transcription PCR, reverse transcription PCR and Western blot, MSP and Methtarget were utilized to evaluate FIBIN expression levels at both the transcriptional and protein levels as well as its methylation status. Differential target protein was evaluated for relative and absolute quantitation by isobaric tags. Co-IP was performed to detect the interactions between target protein. Precise location and expression levels of target proteins were revealed by immunofluorescence staining and component protein extraction using specific kits, respectively. RESULTS We reported that FIBIN was frequently silenced due to promoter hypermethylation in lung cancer. Additionally, both in vitro and in vivo experiments confirmed the significant anti-proliferation and anti-metastasis capabilities of FIBIN. Mechanistically, FIBIN decreased the nuclear accumulation of β-catenin by reducing the binding activity of GSK3β with ANXA2 while promoting interaction between GSK3β and β-catenin. CONCLUSION Our findings firstly identify FIBIN is a tumor suppressor, frequently silenced due to promoter hypermethylation. FIBIN may serve as a predictive biomarker for progression or metastasis among early-stage lung cancer patients.
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MESH Headings
- Humans
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/metabolism
- Lung Neoplasms/pathology
- Lung Neoplasms/genetics
- Lung Neoplasms/metabolism
- DNA Methylation
- Annexin A2/metabolism
- Annexin A2/genetics
- Animals
- Gene Expression Regulation, Neoplastic
- Mice
- Cell Line, Tumor
- Cell Proliferation
- beta Catenin/metabolism
- Glycogen Synthase Kinase 3 beta/metabolism
- Mice, Nude
- Neoplasm Metastasis
- Biomarkers, Tumor/metabolism
- Biomarkers, Tumor/genetics
- Male
- Promoter Regions, Genetic/genetics
- Female
- Mice, Inbred BALB C
- A549 Cells
- Cell Movement
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Affiliation(s)
- Mingyu Peng
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Li Yang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiaxin Liao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xin Le
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Fengsheng Dai
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Ran Sun
- Department of Oncology, Jiulongpo People's Hospital, Chongqing 400050, China
| | - Fan Wu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yu Jiang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Rui Tian
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Bianfei Shao
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Li Zhou
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Mingjun Wu
- Institute of Life Science, Chongqing Medical University, Chongqing 400016, China.
| | - Shuliang Guo
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Tingxiu Xiang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China.
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Xie Z, Yang Y, Niu Z, Mao G, Zhu X, Xu Z, Yang D, Wang H, Wang J. Preoperative computed tomography semantic features in predicting lymph node metastasis of part-solid nodules in non-small cell lung cancer: a multicenter retrospective study. Quant Imaging Med Surg 2024; 14:5151-5163. [PMID: 39022285 PMCID: PMC11250286 DOI: 10.21037/qims-23-1631] [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: 11/16/2023] [Accepted: 05/27/2024] [Indexed: 07/20/2024]
Abstract
Background Lymph node metastasis (LNM) is the most common route of metastasis for lung cancer, and it is an independent risk factor for long-term survival and recurrence in patients with non-small cell lung cancer (NSCLC). The purpose of this study was to explore the value of preoperative computed tomography (CT) semantic features in the differential diagnosis of LNM in part-solid nodules (PSNs) of NSCLC. Methods A total of 955 patients with NSCLC confirmed by postoperative pathology were retrospectively enrolled from January 2019 to March 2023. The clinical, pathological data and preoperative CT images of these patients were investigated and statistically analyzed in order to identify the risk factors for LNM. Multivariate logistic regression was used to select independent risk factors and establish different prediction models. Ten-fold cross-validation was used for model training and validation. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was calculated, and the Delong test was used to compare the predictive performance between the models. Results LNM occurred in 68 of 955 patients. After univariate analysis and adjustment for confounding factors, smoking history, pulmonary disease, solid component proportion, pleural contact type, and mean diameter were identified as the independent risk factors for LNM. The image predictors model established by the four independent factors of CT semantic features, except smoking history, showed a good diagnostic efficacy for LNM. The AUC in the validation group was 0.857, and the sensitivity, specificity, and accuracy of the model were all 77.6%. Conclusions Preoperative CT semantic features have good diagnostic value for the LNM of NSCLC. The image predictors model based on pulmonary disease, solid component proportion, pleural contact type, and mean diameter demonstrated excellent diagnostic efficacy and can provide non-invasive evaluation in clinical practice.
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Affiliation(s)
- Zongyu Xie
- Department of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China
| | - Yang Yang
- Department of Radiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China
| | - Zhongfeng Niu
- Department of radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guoqun Mao
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Xiandi Zhu
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Zhihua Xu
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Dengfa Yang
- Department of Radiology, Taizhou Municipal Hospital, Taizhou, China
| | - Hui Wang
- School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China
| | - Jian Wang
- Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
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Schwalk AJ, Niroula A, Schimmel M. What is new in mediastinal staging? Curr Opin Pulm Med 2024; 30:25-34. [PMID: 37851368 DOI: 10.1097/mcp.0000000000001022] [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: 10/19/2023]
Abstract
PURPOSE OF REVIEW Appropriate staging is of utmost importance in nonsmall cell lung cancer (NSCLC), as the pathologic stage dictates both overall prognosis and appropriate therapeutic pathways. This article seeks to review the current recommendations for mediastinal staging of NSCLC and available modalities to achieve this. Landmark publications pertaining to recent advancements in NSCLC treatments are also highlighted and the role of specific bronchoscopic modalities for tissue acquisition are reviewed. RECENT FINDINGS Recent advancements in the treatment of NSCLC have made accurate mediastinal staging more important than ever. Guidelines and recommendations outlining patients that warrant invasive mediastinal staging are available and a systematic approach should be utilized when sampling is performed. Ensuring the adequacy of tissue for the growing number of molecular biomarkers that must be tested has been the focus of many recent studies. SUMMARY Appropriate mediastinal staging is crucial for the management of patients with NSCLC as is obtaining adequate tissue for diagnostic and therapeutic purposes. EBUS-TBNA is sufficient for the diagnosis of nonsmall cell and small cell lung carcinomas, but EBUS-guided intranodal forceps and cryobiopsy may provide more optimal specimen for patients with benign disease, such as sarcoidosis, or in cases of lymphoma. Further studies are necessary to better delineate the role of these techniques in the diagnosis and staging of mediastinal diseases before they become the primary diagnostic modalities.
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Affiliation(s)
- Audra J Schwalk
- University of Texas Southwestern Medical Center, Department of Medicine, Division of Pulmonary and Critical Care Medicine, Dallas, Texas
| | - Abesh Niroula
- Emory University School of Medicine, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Atlanta, Georgia, USA
| | - Matthew Schimmel
- Emory University School of Medicine, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Atlanta, Georgia, USA
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Zhang W, Mu G, Huang J, Bian C, Wang H, Gu Y, Xia Y, Chen L, Yuan M, Wang J. Lymph node metastasis and its risk factors in T1 lung adenocarcinoma. Thorac Cancer 2023; 14:2993-3000. [PMID: 37667435 PMCID: PMC10599970 DOI: 10.1111/1759-7714.15088] [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: 07/09/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND In this study, the focus was primarily on examining the occurrence of lymph node metastasis in T1 lung adenocarcinoma, while also analyzing the relationship between clinical variables such as imaging characteristics, pathological classifications, and lymph node metastasis. METHODS We retrospectively analyzed data from patients with T1 lung adenocarcinoma who underwent lobectomy and lymph node dissection between January 2016 and December 2019. Utilizing univariate and multivariate analyses, we assessed the associations between lymph node metastasis and various clinical factors, including imaging characteristics, lesion location and depth, and pathological subtypes. RESULTS Of the 433 patients with T1 lung adenocarcinoma, 139 had lymph node metastasis. Moreover, the incidence of node 1 (N1) lymph node, sequential, and node 2 (N2) skip metastases were 12.2%, 12.7%, and 7.2%, respectively. Univariate analysis revealed that tumor diameter, depth ratio, sex, invasive imaging features, and pathological subtype were significantly associated with lymph node metastasis. Multivariate analysis revealed that the tumor depth ratio, tumor diameter, pleural indentation or traction sign, nonvascular penetration sign, solid component, nonadherence, and micropapillary pathological subtype were risk factors for lymph node metastasis. In the multivariate analysis, the micropapillary pathological subtype was an independent risk factor for N2 skip metastasis. CONCLUSIONS In patients with clinical stage T1 lung adenocarcinoma, the risk of lymph node metastasis is higher for tumors located deep within the lung tissue with solid components, invasive preoperative imaging features, and larger diameters. For N2 skip lymph node metastasis, the micropapillary pathological subtype represents a significant high-risk factor.
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Affiliation(s)
- Wenhao Zhang
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Guang Mu
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jingjing Huang
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Chengyu Bian
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Hongchang Wang
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Yan Gu
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Yang Xia
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Liang Chen
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Mei Yuan
- Department of RadiologyJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jun Wang
- Department of Thoracic SurgeryJiangsu Province Hospital and The First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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5
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Mu J, Huang J, Ao M, Li W, Jiang L, Yang L. Advances in diagnosis and prediction for aggression of pure solid T1 lung cancer. PRECISION CLINICAL MEDICINE 2023; 6:pbad020. [PMID: 38025970 PMCID: PMC10680022 DOI: 10.1093/pcmedi/pbad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/07/2023] [Indexed: 12/01/2023] Open
Abstract
A growing number of early-stage lung cancers presenting as malignant pulmonary nodules have been diagnosed because of the increased adoption of low-dose spiral computed tomography. But pure solid T1 lung cancer with ≤3 cm in the greatest dimension is not always at an early stage, despite its small size. This type of cancer can be highly aggressive and is associated with pathological involvement, metastasis, postoperative relapse, and even death. However, it is easily misdiagnosed or delay diagnosed in clinics and thus poses a serious threat to human health. The percentage of nodal or extrathoracic metastases has been reported to be >20% in T1 lung cancer. As such, understanding and identifying the aggressive characteristics of pure solid T1 lung cancer is crucial for prevention, diagnosis, and therapeutic strategies, and beneficial to improving the prognosis. With the widespread of lung cancer screening, these highly invasive pure solid T1 lung cancer will become the main advanced lung cancer in future. However, there is limited information regarding precision medicine on how to identify these "early-stage" aggressive lung cancers. To provide clinicians with new insights into early recognition and intervention of the highly invasive pure solid T1 lung cancer, this review summarizes its clinical characteristics, imaging, pathology, gene alterations, immune microenvironment, multi-omics, and current techniques for diagnosis and prediction.
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Affiliation(s)
- Junhao Mu
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jing Huang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Min Ao
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Weiyi Li
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Jiang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Yang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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Tacconi F, Mangiameli G, Voulaz E, Patirelis A, Carlea F, Rocca EL, Tamburrini A, Vanni G, Ambrogi V. Blood-Derived Systemic Inflammation Markers and Risk of Nodal Failure in Stage Ia Non-Small Cell Lung Cancer: A Multicentric Study. J Clin Med 2023; 12:4912. [PMID: 37568316 PMCID: PMC10419646 DOI: 10.3390/jcm12154912] [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] [Received: 05/19/2023] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Unexpected spread to regional lymph nodes can be found in up to 10% of patients with early stage non-small cell lung cancer (NSCLC), thereby affecting both prognosis and treatment. Given the known relation between systemic inflammation and tumor progression, we sought to evaluate whether blood-derived systemic inflammation markers might help to the predict nodal outcome in patients with stage Ia NSCLC. METHODS Preoperative levels of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic inflammation score (SII, platelets × NLR) were collected from 368 patients who underwent curative lung resection for NSCLC. After categorization, inflammatory markers were subjected to logistic regression and time-event analysis in order to find associations with occult nodal spread and postoperative nodal recurrence. RESULTS No inflammation marker was associated with the risk of occult nodal spread. SII showed a marginal effect on early nodal recurrence at a quasi-significant level (p = 0.065). However, patients with T1c tumors and elevated PLR and/or SII had significantly shorter times to nodal recurrence compared to T1a/T1b patients (p = 0.001), while patients with T1c and normal PLR/SII did not (p = 0.128). CONCLUSIONS blood-derived inflammation markers had no value in the preoperative prediction of nodal status. Nevertheless, our results might suggest a modulating effect of platelet-derived inflammation markers on nodal progression after the resection of tumors larger than 2 cm.
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Affiliation(s)
- Federico Tacconi
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
| | - Giuseppe Mangiameli
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy; (G.M.); (E.V.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
| | - Emanuele Voulaz
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy; (G.M.); (E.V.)
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
| | - Alexandro Patirelis
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
| | - Federica Carlea
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
| | - Eleonora La Rocca
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
| | - Alessandro Tamburrini
- Unit of Cardio-thoracic Surgery, Southampton General Hospital, Tremona Road, Southampton SO166YD, UK;
| | - Gianluca Vanni
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
| | - Vincenzo Ambrogi
- Thoracic Surgery and Breast Unit, Department of Surgical Sciences, Tor Vergata University Polyclinic, Viale Oxford 81, 00133 Rome, Italy; (A.P.); (F.C.); (E.L.R.); (G.V.); (V.A.)
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Afshari S, Anker CJ, Kooperkamp HZ, Sprague BL, Lester-Coll NH. Trends and Outcomes of Salvage Lobectomy for Early-stage Non-Small Cell Lung Cancer. Am J Clin Oncol 2023; 46:271-275. [PMID: 36961366 DOI: 10.1097/coc.0000000000001001] [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: 03/25/2023]
Abstract
OBJECTIVES There is little data describing the outcomes for patients who develop local recurrences after stereotactic body radiation therapy (SBRT), a standard-of-care treatment for patients with early-stage non-small cell lung cancer. One emerging option is salvage lobectomy. We investigated trends in the use of salvage lobectomy after SBRT and described patient outcomes using a nationally representative sample. METHODS This is a retrospective study using the National Cancer Database of patients with non-small cell lung cancer diagnosed from 2004 to 2017. We used descriptive statistics to describe patients who underwent salvage lobectomy. Kaplan-Meier analysis was used to estimate overall survival (OS). Cox proportional modeling was used to identify factors associated with OS. RESULTS We identified 276 patients who underwent salvage lobectomy. Ninety-day mortality was 0%. The median survival time for the cohort was 50 months (95% CI, 44 to 58). Median follow-up was 65 months (Interquartile Range: 39 to 96). The factors associated with decreased OS include squamous cell histology (hazard ratio (HR)=1.72, P =0.005) and high grade (1.50, P =0.038). Increased OS was associated with lobectomy performed between 3 and 6 months after SBRT (HR=0.53, P =0.021), lobectomy performed >6 months after SBRT (HR=0.59, P =0.015), and female sex (HR=0.56, P =0.004). CONCLUSIONS Salvage lobectomy after local failures of SBRT was associated with no perioperative mortality and favorable long-term outcomes. Our data suggest that lobectomy performed within 3 months of SBRT is associated with worse OS.
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Affiliation(s)
- Sam Afshari
- University of Vermont Larner College of Medicine
| | | | - Hannah Z Kooperkamp
- Department of Surgery, University of Vermont Larner College of Medicine, Burlington, VT
| | - Brian L Sprague
- Department of Surgery, University of Vermont Larner College of Medicine, Burlington, VT
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Mu J, Kuang K, Ao M, Li W, Dai H, Ouyang Z, Li J, Huang J, Guo S, Yang J, Yang L. Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans. Front Med (Lausanne) 2023; 10:1145846. [PMID: 37275359 PMCID: PMC10235703 DOI: 10.3389/fmed.2023.1145846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/10/2023] [Indexed: 06/07/2023] Open
Abstract
In the clinic, it is difficult to distinguish the malignancy and aggressiveness of solid pulmonary nodules (PNs). Incorrect assessments may lead to delayed diagnosis and an increased risk of complications. We developed and validated a deep learning-based model for the prediction of malignancy as well as local or distant metastasis in solid PNs based on CT images of primary lesions during initial diagnosis. In this study, we reviewed the data from multiple patients with solid PNs at our institution from 1 January 2019 to 30 April 2022. The patients were divided into three groups: benign, Ia-stage lung cancer, and T1-stage lung cancer with metastasis. Each cohort was further split into training and testing groups. The deep learning system predicted the malignancy and metastasis status of solid PNs based on CT images, and then we compared the malignancy prediction results among four different levels of clinicians. Experiments confirmed that human-computer collaboration can further enhance diagnostic accuracy. We made a held-out testing set of 134 cases, with 689 cases in total. Our convolutional neural network model reached an area under the ROC (AUC) of 80.37% for malignancy prediction and an AUC of 86.44% for metastasis prediction. In observer studies involving four clinicians, the proposed deep learning method outperformed a junior respiratory clinician and a 5-year respiratory clinician by considerable margins; it was on par with a senior respiratory clinician and was only slightly inferior to a senior radiologist. Our human-computer collaboration experiment showed that by simply adding binary human diagnosis into model prediction probabilities, model AUC scores improved to 81.80-88.70% when combined with three out of four clinicians. In summary, the deep learning method can accurately diagnose the malignancy of solid PNs, improve its performance when collaborating with human experts, predict local or distant metastasis in patients with T1-stage lung cancer, and facilitate the application of precision medicine.
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Affiliation(s)
- Junhao Mu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kaiming Kuang
- Dianei Technology, Shanghai, China
- University of California, San Diego, San Diego, CA, United States
| | - Min Ao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Weiyi Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haiyun Dai
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zubin Ouyang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jingyu Li
- Dianei Technology, Shanghai, China
- School of Computer Science, Wuhan University, Wuhan, China
| | - Jing Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shuliang Guo
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiancheng Yang
- Dianei Technology, Shanghai, China
- Shanghai Jiao Tong University, Shanghai, China
- École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Li Yang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Martínez Meñaca A, Barbero Herranz E, Muñoz-Esquerre M, Marín-Oto M, García Moyano M, Cascón-Hernández JA, Alonso Pérez T. Highlights del 55.° Congreso SEPAR. OPEN RESPIRATORY ARCHIVES 2023. [PMID: 37497247 PMCID: PMC10369544 DOI: 10.1016/j.opresp.2022.100216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The 55th SEPAR Congress was held in Pamplona from 2 to 4 of June 2022. Once again, it was the referral scientific meeting for specialists in pulmonology, thoracic surgery, nursing, physiotherapy, paediatric respiratory diseases and other disciplines involved in respiratory care. The Spanish Society of Pulmonology and Thoracic Surgery showed its national and international leadership in the management of respiratory diseases, which was reflected in a program with an excellent content and a high scientific level. In this review, we offer a summary of some notable aspects covered in six selected areas of interest: pulmonary vascular diseases, non-invasive mechanical ventilation and sleep disorders, asthma, chronic obstructive pulmonary disease (COPD), interstitial lung diseases (ILD), and interventional pulmonolgy and lung transplant.
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Guarize J, Spaggiari L, Bertolaccini L. In EBUS Signo Vinces: New Indications in Thoracic Oncology for Mediastinal Lymph Node Staging Using Endobronchial Ultrasound. Front Oncol 2022; 12:934986. [PMID: 35875112 PMCID: PMC9305331 DOI: 10.3389/fonc.2022.934986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/20/2022] [Indexed: 12/02/2022] Open
Affiliation(s)
- Juliana Guarize
- Unit of Interventional Pneumology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Lorenzo Spaggiari
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Luca Bertolaccini
- Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
- *Correspondence: Luca Bertolaccini,
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Kim H, Choi H, Lee KH, Cho S, Park CM, Kim YT, Goo JM. Definitions of Central Tumors in Radiologically Node-Negative, Early-Stage Lung Cancer for Preoperative Mediastinal Lymph Node Staging: A Dual-Institution, Multireader Study. Chest 2022; 161:1393-1406. [PMID: 34785237 DOI: 10.1016/j.chest.2021.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/25/2021] [Accepted: 11/01/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Definitions for central lung cancer (CLC) have been ambiguous in guidelines, causing difficulty in selecting candidates for invasive mediastinal staging among patients with radiologically node-negative, early-stage lung cancer. RESEARCH QUESTION What is the optimal definition for CLC that is robust to interreader and institutional variation to select candidates for invasive mediastinal staging among those with clinical T1N0M0 lung cancer? STUDY DESIGN AND METHODS Two retrospective cohorts were evaluated for the associations of central lung cancer according to 13 definitions based on chest CT scan with occult nodal metastasis. Univariate and multivariate ordinal logistic regression analyses were performed with the pathologic N category as an ordinal outcome. Robust definitions, which retained statistical significance across multireader, dual-institutional datasets, were identified. For these definitions, binary diagnostic performance and interreader agreement were investigated. RESULTS In the two cohorts, 807 patients (median age, 63 years; interquartile range [IQR], 56-71 years; 410 women; 33 pN1, 48 pN2, and 1 pN3) and 510 patients (median age, 65 years; IQR, 58-71 years; 267 women; 33 pN1, 20 pN2, and no pN3) were included, respectively. Three definitions robust to interreader variation and dataset heterogeneity were identified: definition 7 (concentric lines arising from the midline, inner one-third, medial margin; adjusted OR, 2.01; 95% CI, 1.13-3.51; P = .02), definition 10 (location index-based inner one-third, center; adjusted OR, 3.60; 95% CI, 1.49-8.25; P = .003), and definition 12 (location index-based inner one-third, medial margin; adjusted OR, 3.57; 95% CI, 1.91-6.52; P < .001). Definition 12 showed higher interreader agreement than definition 7 (Cohen κ, 0.80 vs 0.66; P = .005). Nevertheless, the sensitivity and positive predictive value of the three definitions were < 50%. INTERPRETATION Three definitions exhibited robust associations with occult nodal metastasis. However, selecting candidates for invasive mediastinal staging solely based on a central tumor location would be suboptimal.
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Affiliation(s)
- Hyungjin Kim
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyewon Choi
- Department of Radiology, Chung-Ang University Hospital, Seoul, South Korea
| | - Kyung Hee Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea; Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea.
| | - Sukki Cho
- Department of Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, South Korea; Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Chang Min Park
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, South Korea; Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Jin Mo Goo
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea
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12
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Sanz-Santos J, Martínez-Palau M, Rami-Porta R, Barreiro B. Quantitative Tumor Location Methods. Chest 2022; 161:e328-e329. [PMID: 35526910 DOI: 10.1016/j.chest.2021.12.666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 11/27/2022] Open
Affiliation(s)
- José Sanz-Santos
- Department of Pulmonology, Hospital Universitari Mútua Terrassa, Terrassa, Spain; School of Medicine, University of Barcelona, Terrassa, Spain.
| | | | - Ramón Rami-Porta
- Department of Thoracic Surgery, Hospital Universitari Mútua Terrassa, Terrassa, Spain; Lung Cancer Group, Network of Centers for Biomedical Research (CIBERES), Terrassa, Spain
| | - Bienvenido Barreiro
- Department of Pulmonology, Hospital Universitari Mútua Terrassa, Terrassa, Spain
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13
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Kim H, Lee KH. Response. Chest 2022; 161:e329-e330. [PMID: 35526911 DOI: 10.1016/j.chest.2022.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 01/03/2022] [Indexed: 10/18/2022] Open
Affiliation(s)
- Hyungjin Kim
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyung Hee Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea; Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea.
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14
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Cordovilla R, López-Zubizarreta M, Velasco A, Álvarez A, Rodríguez M, Gómez A, Hernández-Mezquita MÁ, Iglesias M. The Value of a Systematic Protocol Using Endobronchial Ultrasound and Endoscopic Ultrasound in Staging of Lung Cancer for Patients with Imaging iN0–N1 Disease. Biomed Hub 2021; 6:92-101. [PMID: 34950670 PMCID: PMC8613614 DOI: 10.1159/000519034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/04/2021] [Indexed: 11/19/2022] Open
Abstract
<b><i>Introduction:</i></b> We hypothesize that systematic, combined, and multidisciplinary study of the mediastinum (endobronchial ultrasound [EBUS] and endoscopic ultrasound [EUS]) in patients with NSCLC with radiologically normal mediastinum improves the results of mediastinal staging obtained with EBUS alone. <b><i>Material and Methods:</i></b> A retrospective study of the prospective database collected on the patients with NSCLC with a radiologically normal mediastinum and an indication for systematic staging with EBUS and EUS. EBUS staging was followed by EUS in patients in which the results from the pathological analysis of EBUS were negative. <b><i>Results:</i></b> Forty-five patients were included in the analysis. The combination of EBUS followed by EUS provided better results than EBUS alone: sensitivity (S) 95% versus 80%, negative predictive value (NPV) 96.15% versus 86.21%, negative likelihood ratio 0.05 versus 0.20, and post-test probability 3.8% versus 13.8%. This represents an increase in S (15%), the validity index (6.6%), and NPV (9.9%) compared to EBUS alone. There were 4 false negatives (FNs) (8.8%) with the EBUS test alone. After adding EUS, 3 more cases were positive (6.6%) and only 1 FN (2.2%). <b><i>Conclusions:</i></b> In patients with NSCLC and a radiographically normal mediastinum, a systematic and combined staging with EBUS and EUS show higher sensitivity in the detection of mediastinal metastasis than with the use of EBUS alone. The high accuracy of the test means that the use of mediastinoscopy is not necessary to confirm the results in these patients. Since the availability of EUS is low, it may be advisable for the interventional pulmonologist to receive training in EUS-b.
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Affiliation(s)
- Rosa Cordovilla
- Interventional Pulmonology Unit, Pulmonary Department, Salamanca University Hospital, Salamanca, Spain
- *Rosa Cordovilla,
| | - Marco López-Zubizarreta
- Interventional Pulmonology Unit, Pulmonary Department, Salamanca University Hospital, Salamanca, Spain
| | - Antonio Velasco
- Gastroenterologist Department, Salamanca University Hospital, Salamanca, Spain
| | - Alberto Álvarez
- Gastroenterologist Department, Salamanca University Hospital, Salamanca, Spain
| | - Marta Rodríguez
- Cytopathology Unit, Pathology Department, Salamanca University Hospital, Salamanca, Spain
| | - Asunción Gómez
- Cytopathology Unit, Pathology Department, Salamanca University Hospital, Salamanca, Spain
| | | | - Miguel Iglesias
- Interventional Pulmonology Unit, Pulmonary Department, Salamanca University Hospital, Salamanca, Spain
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15
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DuComb EA, Kinsey CM. Response. Chest 2021; 159:447-448. [PMID: 33422219 DOI: 10.1016/j.chest.2020.08.2078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 08/21/2020] [Indexed: 10/22/2022] Open
Affiliation(s)
- Emily A DuComb
- Division of Pulmonary and Critical Care, University of Vermont Medical Center, Burlington, VT
| | - C Matthew Kinsey
- Division of Pulmonary and Critical Care, University of Vermont Medical Center, Burlington, VT.
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Roy P, Fortin M. Should We Expand Invasive Mediastinal Staging to Peripheral T1 Lung Tumors? Chest 2021; 159:446-447. [PMID: 33422218 DOI: 10.1016/j.chest.2020.07.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 07/27/2020] [Indexed: 11/18/2022] Open
Affiliation(s)
- Pascalin Roy
- Department of Pulmonary Medicine and Thoracic Surgery, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, Canada
| | - Marc Fortin
- Department of Pulmonary Medicine and Thoracic Surgery, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, Canada.
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