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Kanzaki R, Fukuda H, Kobayashi M, Horiguchi J, Kawagishi S, Maniwa T, Fujii M, Okami J. Pathological Pleural Invasion is a Risk Factor for Late Recurrence in Long-Term Survivors of Non-small Cell Lung Cancer after Complete Resection. Ann Surg Oncol 2024; 31:5038-5046. [PMID: 38647914 DOI: 10.1245/s10434-024-15279-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 03/25/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Information regarding late recurrence after pulmonary resection for non-small cell lung cancer (NSCLC) is limited. This study aimed to analyze the risk factors for late recurrence after surgery for NSCLC in the current era. PATIENTS AND METHODS We conducted a retrospective study of patients who underwent complete resection for pathological I-III NSCLC between 2006 and 2015. Late recurrence was defined as a recurrence that met the following conditions: (1) the patient underwent chest computed tomography (CT) at or after 54 months after surgery and recurrence was not detected at that time, and (2) recurrence that occurred more than 5 years after surgery. The factors influencing late recurrence, relapse-free survival (RFS), and overall survival (OS) after surgery were analyzed. RESULTS A total of 1275 with 5-year relapse-free survival after surgery were enrolled in this study. The mean age of the patients was 66.4 years and 54% of the patients were men. The median interval between surgery and the latest follow-up examination was 98 months. In total, 35 patients (2.7%) experienced late recurrence and 138 patients have died thus far. The cumulative recurrence, RFS, and OS rates at 10 years were 3.9%, 84.9%, and 86.3%, respectively. A multivariate analysis revealed that pleural invasion was an independent risk factor for late recurrence. Pleural invasion was a poor prognostic factor for both RFS and OS. CONCLUSIONS Pleural invasion was a predictor of late recurrence. Age > 67 years, preoperative serum carcinoembryonic antigen (CEA) > 5 ng/ml, non-adenocarcinoma, and pleural invasion were poor prognostic factors for RFS.
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Affiliation(s)
- Ryu Kanzaki
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan.
| | - Hiroyuki Fukuda
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Masao Kobayashi
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Julian Horiguchi
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Sachi Kawagishi
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Tomohiro Maniwa
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Makoto Fujii
- Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Jiro Okami
- Department of General Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
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Sumitomo R, Menju T, Shimazu Y, Toyazaki T, Chiba N, Miyamoto H, Hirayama Y, Nishikawa S, Tanaka S, Yutaka Y, Yamada Y, Nakajima D, Ohsumi A, Hamaji M, Sato A, Yoshizawa A, Huang C, Haga H, Date H. M2-like tumor-associated macrophages promote epithelial-mesenchymal transition through the transforming growth factor β/Smad/zinc finger e-box binding homeobox pathway with increased metastatic potential and tumor cell proliferation in lung squamous cell carcinoma. Cancer Sci 2023; 114:4521-4534. [PMID: 37806311 PMCID: PMC10728010 DOI: 10.1111/cas.15987] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/18/2023] [Accepted: 09/19/2023] [Indexed: 10/10/2023] Open
Abstract
Epithelial-mesenchymal transition (EMT) promotes primary tumor progression toward a metastatic state. The role of tumor-associated macrophages (TAMs) in inducing EMT in lung squamous cell carcinoma (LUSC) remains unclear. We aimed to clarify the significance of TAMs in relation to EMT in LUSC. We collected 221 LUSC specimens from patients who had undergone surgery. Immunohistochemistry was performed to evaluate M1-like and M2-like TAM distribution and EMT by E-cadherin and vimentin staining. Human LUSC cell lines (H226 and EBC-1) and a human monocyte cell line (THP-1) were used for in vitro experiments. M2-like polarization of TAMs and EMT marker expression in LUSC cells were evaluated by western blotting. The biological behavior of LUSC cells was evaluated by migration, invasion, and cell proliferation assays. Immunohistochemical analysis showed that 166 (75.1%) tumors were E-cadherin-positive and 44 (19.9%) were vimentin-positive. M2-like TAM density in the tumor stroma was significantly associated with vimentin positivity and worse overall survival. Western blotting demonstrated higher levels of CD163, CD206, vascular endothelial growth factor, and transforming growth factor beta 1 (TGF-β1) in TAMs versus unstimulated macrophages. Furthermore, increased TGF-β1 secretion from TAMs was confirmed by ELISA. TAM-co-cultured H226 and EBC-1 cells exhibited EMT (decreased E-cadherin, increased vimentin). Regarding EMT-activating transcriptional factors, phosphorylated Smad3 and ZEB-family proteins were higher in TAM-co-cultured LUSC cells than in parental cells. TAM-co-cultured H226 and EBC-1 cells demonstrated enhanced migration and invasion capabilities and improved proliferation. Overall, the present study suggests that TAMs can induce EMT with increased metastatic potential and tumor cell proliferation in LUSC.
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Affiliation(s)
- Ryota Sumitomo
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
- Department of Thoracic SurgeryTazuke Kofukai Medical Research Institute, Kitano HospitalOsakaJapan
| | - Toshi Menju
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yumeta Shimazu
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Toshiya Toyazaki
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Naohisa Chiba
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hideaki Miyamoto
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yutaka Hirayama
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Shigeto Nishikawa
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Satona Tanaka
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yojiro Yutaka
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yoshito Yamada
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Daisuke Nakajima
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Akihiro Ohsumi
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Masatsugu Hamaji
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Atsuyasu Sato
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Akihiko Yoshizawa
- Department of Diagnostic PathologyKyoto University HospitalKyotoJapan
| | - Cheng‐Long Huang
- Department of Thoracic SurgeryTazuke Kofukai Medical Research Institute, Kitano HospitalOsakaJapan
| | - Hironori Haga
- Department of Diagnostic PathologyKyoto University HospitalKyotoJapan
| | - Hiroshi Date
- Department of Thoracic Surgery, Graduate School of MedicineKyoto UniversityKyotoJapan
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Cui N, Li J, Jiang Z, Long Z, Liu W, Yao H, Li M, Li W, Wang K. Development and validation of 18F-FDG PET/CT radiomics-based nomogram to predict visceral pleural invasion in solid lung adenocarcinoma. Ann Nucl Med 2023; 37:605-617. [PMID: 37598412 DOI: 10.1007/s12149-023-01861-w] [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: 06/12/2023] [Accepted: 08/07/2023] [Indexed: 08/22/2023]
Abstract
OBJECTIVES This study aimed to establish a radiomics model based on 18F-FDG PET/CT images to predict visceral pleural invasion (VPI) of solid lung adenocarcinoma preoperatively. METHODS We retrospectively enrolled 165 solid lung adenocarcinoma patients confirmed by histopathology with 18F-FDG PET/CT images. Patients were divided into training and validation at a ratio of 0.7. To find significant VPI predictors, we collected clinicopathological information and metabolic parameters measured from PET/CT images. Three-dimensional (3D) radiomics features were extracted from each PET and CT volume of interest (VOI). Receiver operating characteristic (ROC) curve was performed to determine the performance of the model. Accuracy, sensitivity, specificity and area under curve (AUC) were calculated. Finally, their performance was evaluated by concordance index (C-index) and decision curve analysis (DCA) in training and validation cohorts. RESULTS 165 patients were divided into training cohort (n = 116) and validation cohort (n = 49). Multivariate analysis showed that histology grade, maximum standardized uptake value (SUVmax), distance from the lesion to the pleura (DLP) and the radiomics features had statistically significant differences between patients with and without VPI (P < 0.05). A nomogram was developed based on the logistic regression method. The accuracy of ROC curve analysis of this model was 75.86% in the training cohort (AUC: 0.867; C-index: 0.867; sensitivity: 0.694; specificity: 0.889) and the accuracy rate in validation cohort was 71.55% (AUC: 0.889; C-index: 0.819; sensitivity: 0.654; specificity: 0.739). CONCLUSIONS A PET/CT-based radiomics model was developed with SUVmax, histology grade, DLP, and radiomics features. It can be easily used for individualized VPI prediction.
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Affiliation(s)
- Nan Cui
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Jiatong Li
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Zhiyun Jiang
- Radiology Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Zhiping Long
- Department of Epidemiology, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang, China
| | - Wei Liu
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Hongyang Yao
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Mingshan Li
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Wei Li
- Interventional Vascular Surgery Department, The 4th Affiliated Hospital of Harbin Medical University, Harbin Medical University, 37 Yiyuan Road, Harbin, 150001, Heilongjiang, China
| | - Kezheng Wang
- PET-CT/MRI Department, Harbin Medical University, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, Heilongjiang, China.
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Huang S, Xu F, Zhu W, Xie D, Lou K, Huang D, Hu H. Multi-dimensional radiomics analysis to predict visceral pleural invasion in lung adenocarcinoma of ≤3 cm maximum diameter. Clin Radiol 2023; 78:e847-e855. [PMID: 37607844 DOI: 10.1016/j.crad.2023.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 06/20/2023] [Accepted: 07/21/2023] [Indexed: 08/24/2023]
Abstract
AIM To explore the value of radiomics analysis in preoperatively predicting visceral pleural invasion (VPI) of lung adenocarcinoma (LAC) with ≤3 cm maximum diameter and to compare the performance of two-dimensional (2D) and three-dimensional (3D) computed tomography (CT) radiomics models. MATERIALS AND METHODS A total of 391 LAC patients were enrolled retrospectively, of whom 142 were VPI (+) and 249 were VPI (-). Radiomics features were extracted from 2D and 3D regions of interest (ROIs) of tumours in CT images. 2D and 3D radiomics models were developed combining the optimal radiomics features by using the logistic regression machine-learning method and radiomics scores (rad-scores) were calculated. Nomograms were constructed by integrating independent risk factors and rad-scores. The performance of each model was evaluated by using the receiver operator characteristic (ROC) curve, decision curve analysis (DCA), clinical impact curve (CIC), and calculating the area under the curve (AUC). RESULTS There was no difference in the VPI prediction between 2D and 3D radiomics models (training group: 2D AUC=0.835, 3D AUC=0.836, p=0.896; validation group: 2D AUC=0.803, 3D AUC=0.794, p=0.567). The 2D and 3D nomograms performed similarly regarding discrimination (training group: 2D AUC=0.867, 3D AUC=0.862, p=0.409, validation group: 2D AUC=0.835, 3D AUC=0.827, p=0.558), and outperformed their corresponding radiomics models and the clinical model. DCA and CIC revealed that the 2D nomogram had slightly better clinical utility. CONCLUSION The 2D radiomics model has a similar discrimination capability compared with the 3D radiomics model. The 2D nomogram performs slightly better for individual VPI prediction in LAC.
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Affiliation(s)
- S Huang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Radiology, Ningbo Medical Center LiHuili Hospital, Ningbo, Zhejiang, China
| | - F Xu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - W Zhu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - D Xie
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Radiology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China
| | - K Lou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - D Huang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - H Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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The location of visceral pleural invasion in stage IB patients with non-small cell lung cancer: Comparison and prognosis. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:950-957. [PMID: 36725457 DOI: 10.1016/j.ejso.2023.01.022] [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: 09/07/2022] [Revised: 12/21/2022] [Accepted: 01/22/2023] [Indexed: 01/29/2023]
Abstract
OBJECTIVES Recently, early-stage lung cancer has been drawing more attention, especially in screening and treatment. Visceral pleural invasion in stage IB cancer is considered as risk factor for poor prognosis. Herein, we aimed to study the distinction between the different locations of visceral pleural invasion. METHODS In this retrospective cohort study, we summarized 58,242 patient cases that underwent surgery from 2015 to 2018 at Shanghai Chest Hospital. Of those patients, 389 met the inclusion criteria. Patients with PL3 pleural invasion were excluded. The patients were dichotomized into the interlobar pleural and peripheral pleural groups. The outcomes measured were overall survival (OS) and recurrence-free survival (RFS) rates. RESULTS According to the initial analysis, the baseline characteristics of the two groups were largely balanced. In multivariate Cox analyses, we found that the location of visceral pleural invasion was not a risk factor for prognosis in the overall population (RFS: P = 0.726, OS: P = 0.599). However, we discovered that relative to patients with peripheral pleura invasion, those with interlobar pleura invasion, PL1 invasion, lesions with greater than 3 cm solid components, and those who underwent segmentectomy had a compromised prognosis. Additionally, tumors larger than 3 cm in size with interlobar pleura invasion showed poor prognosis in patients who underwent postoperative chemotherapy. CONCLUSIONS In most cases, the location of tumor invasion did not worsen the postoperative prognosis of stage IB non-small cell lung cancer patients with visceral pleural invasion. However, interlobar pleural invasion still had some potential risks compared to that of peripheral pleural invasion.
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Ishikawa H, Menju T, Toyazaki T, Miyamoto H, Chiba N, Noguchi M, Tamari S, Miyata R, Yutaka Y, Tanaka S, Yamada Y, Nakajima D, Ohsumi A, Hamaji M, Okuno Y, Date H. A novel cell-based assay for the high-throughput screening of epithelial-mesenchymal transition inhibitors: Identification of approved and investigational drugs that inhibit epithelial-mesenchymal transition. Lung Cancer 2023; 175:36-46. [PMID: 36450215 DOI: 10.1016/j.lungcan.2022.11.015] [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: 08/29/2022] [Revised: 11/15/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Lung cancer with distant metastases is associated with a very poor prognosis, and epithelial-mesenchymal transition (EMT) contributes to cancer metastasis. Therefore, elucidation and inhibition of EMT signaling in lung cancer may be a new therapeutic strategy for improving the prognosis of patients. We constructed a high-throughput screening system for EMT inhibitors. Using this system, we aimed to identify compounds that indeed inhibit EMT. MATERIALS AND METHODS We generated a luciferase reporter cell line using A549 human lung cancer cells and E-cadherin or vimentin as EMT markers. EMT was induced by transforming growth factor β1 (TGF-β1), and candidate EMT inhibitors were screened from a library of 2,350 compounds. The selected compounds were further tested using secondary assays to verify the inhibition of EMT and invasive capacity of cells. RESULTS Values obtained by the assay were adjusted for the number of viable cells and scored by determining the difference between mean values of the positive and negative control groups. Four compounds were identified as novel candidate drugs. Among those, one (avagacestat) and two compounds (GDC-0879 and levothyroxine) improved the expression of E-cadherin and vimentin, respectively, in epithelial cells. GDC-0879 and levothyroxine also significantly inhibited the invasive capacity of cells. CONCLUSION We systematically screened approved, investigational, and druggable compounds with inhibitory effects using a reporter assay, and identified candidate drugs for EMT inhibition.
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Affiliation(s)
- Hiroyuki Ishikawa
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Toshi Menju
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Toshiya Toyazaki
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Hideaki Miyamoto
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Naohisa Chiba
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Misa Noguchi
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Shigeyuki Tamari
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Ryo Miyata
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yojiro Yutaka
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Satona Tanaka
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yoshito Yamada
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Daisuke Nakajima
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Akihiro Ohsumi
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Masatsugu Hamaji
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Yukiko Okuno
- The Drug Discovery Center, Medical Research Support, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
| | - Hiroshi Date
- Department of Thoracic Surgery, Kyoto University Graduate School of Medicine, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan
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Zhang Y, Zhang Y, Hu Y, Zhang S, Zhu M, Hu B, Guo X, Lu J, Zhang Y. Validation of the novel International Association for the Study of Lung Cancer grading system and prognostic value of filigree micropapillary and discohesive growth pattern in invasive pulmonary adenocarcinoma. Lung Cancer 2023; 175:79-87. [PMID: 36481678 DOI: 10.1016/j.lungcan.2022.11.022] [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: 08/05/2022] [Revised: 11/18/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The Pathology Committee of the International Association for the Study of Lung Cancer (IASLC) proposed a new histological grading system based on the combination of predominant and high-grade patterns in 2020. MATERIALS AND METHODS Pathological sections from 631 patients with stage I-III invasive lung adenocarcinoma were reviewed. We then determined the histological grade according to the new grading system and confirmed the pathological features that included the filigree micropapillary and discohesive growth pattern. Applying of the novel IASLC grading system in prognosis stratification was verified and the clinical significance of the pathological characteristics was explored. RESULTS Cox multivariable analysis revealed that in the stage I-III invasive lung adenocarcinoma, the IASLC grading system was significantly associated with disease-free survival (DFS) [hazard ratio (HR) = 1.419; 95 % confidence interval (CI): 1.040-1.937; P = 0.027] and overall survival (OS) (HR = 1.899; 95 % CI: 1.168-3.087; P = 0.010). In patients with IASLC Grades 1 and 2, the simultaneous presence of filigree micropapillary and discohesive growth pattern was significantly correlated with DFS (HR = 1.899; 95 % CI:1.168-3.087; P = 0.010). However, the filigree micropapillary and discohesive growth pattern did not affect the OS (HR = 2.786; P = 0.317). The competitive risk model revealed that in the stage I cohort, the simultaneous presence of filigree micropapillary and discohesive growth pattern was a risk factor for recurrence and metastasis [sub- distribution HR (SHR) = 1.987; 95 %CI: 1.122-3.518; P = 0.019]. CONCLUSION Our study verified that the new prognostic stratification system was an effective stratification tool. Filigree micropapillary and discohesive growth pattern may also be risk factors for DFS, postoperative recurrence and metastasis.
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Affiliation(s)
- Yuan Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China
| | - Yanjun Zhang
- Department of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yi Hu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China
| | - Shu Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China
| | - Min Zhu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China
| | - Bin Hu
- Department of Thoracic Surgery, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Xiaojuan Guo
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Jun Lu
- Department of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Yuhui Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China.
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Zhang A, Meng X, Yao Y, Zhou X, Yan S, Fei W, Zhou N, Zhang Y, Kong H, Li N. Predictive Value of 18 F-FDG PET/MRI for Pleural Invasion in Solid and Subsolid Lung Adenocarcinomas Smaller Than 3 cm. J Magn Reson Imaging 2022; 57:1367-1375. [PMID: 36066210 DOI: 10.1002/jmri.28422] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Positron emission tomography (PET)/MRI combines the characteristics of metabolism imaging and high soft tissue resolution, and could provide high diagnostic efficacy for assessment of pleural invasion (PI) of lung cancer. PURPOSE To investigate the application of 18 F-fluorodeoxyglucose (FDG) PET/MRI for predicting PI of lung cancer with the maximum diameter ≤3 cm. STUDY TYPE Prospective. POPULATION A total of 44 patients with non-small cell lung cancer (NSCLC), age from 39 to 79 years old, including 19 (56.82%) females. FIELD STRENGTH/SEQUENCE A 3-T, hybrid PET/MRI including axial fast spin echo respiratory-triggered T2 fat-suppressed imaging (T2FS) and echo planar imaging diffusion-weighted imaging (DWI). ASSESSMENT The maximum standardized uptake value (SUVmax) of all lesions was measured on PET images. Localized effusion outside the contact between the nodules and the pleura on T2FS and signal at the contact between the nodules and the pleura on DWI were evaluated by experienced physicians through visual assessment of the MRI sequences. STATISTICAL TESTS Three models (models 1-3) were developed, incorporating CT, CT and PET, PET and MRI features, and Lasso regression was used in feature selection. The receiver operating characteristic (ROC) curve for PI diagnosis was visualized for each model, and the area under the curve (AUC) was calculated. The DeLong test was used to compare the different AUCs. A P value < 0.05 was considered statistically significant. RESULTS The AUC of models 1-3 was 0.762, 0.829, and 0.915, respectively. The DeLong test showed a statistically significant difference between the AUCs of model 1 vs. model 3, while the differences between the AUCs of model 1 vs. model 2 (P = 0.253) and model 2 vs. model 3 (P = 0.075) were not statistically significant. DATA CONCLUSION 18 F-FDG PET/MRI might show high predictive value for lung adenocarcinoma smaller than 3 cm with PI. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Annan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Xiangxi Meng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Yuan Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Xin Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Shuo Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Wang Fei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Nina Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
| | - Hanjing Kong
- Beijing United Imaging Research Institute of Intelligent Imaging, UIH Group, Beijing, China
| | - Nan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Haidian, Beijing, China
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Fang P, Cheng J, Lu Y, Fu L. Rethinking the Selection of Pathological T-Classification for Non-Small-Cell Lung Cancer in Varying Degrees of Visceral Pleural Invasion: A SEER-Based Study. Front Surg 2022; 9:902710. [PMID: 36034347 PMCID: PMC9406813 DOI: 10.3389/fsurg.2022.902710] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/02/2022] [Indexed: 11/24/2022] Open
Abstract
Background The T classification of non-small-cell lung cancer (NSCLC) was upgraded from T1 to T2 when accompanied by visceral pleural invasion (VPI). However, the association between VPI and prognostic outcomes was obscure in NSCLC patients with ≤3 cm tumor size (TS), which leaded the controversy of selection of T classification. The goal was to evaluate the effect of VPI on the prognosis of NSCLC with ≤ 3cm TS and present a modified T classification. Methods A total of 14,934 NSCLC patients without distant metastasis were recruited through a retrospective study in the SEER database. The effect of VPI on lung cancer specific survival (LCSS) was evaluated using survival curve and COX regression analysis in NSCLC patients with ≤3 cm TS. Results Although there was no difference of the LCSS of PL0 and PL1 patients with ≤2 cm TS in patients without lymph node (LN) metastasis, the LCSS was lower in PL2 patients than those in PL0 (T1a: p < 0.001; T1b: p = 0.001). Moreover, the LCSS was decreased in PL1 and PL2 patients with 2–3 cm TS compared with PL0 (T1c: PL1, p < 0.001; PL2, p = 0.009) of patients without LN metastasis. No difference of LCSS was observed in patients with LN metastasis between PL0 with PL1 and PL2. Conclusion In NSCLC patients without LN metastasis and TS ≤ 2 cm, tumor with PL1 should remain defined as T1, tumor with PL2 should be defined as T2. However, 2–3 cm TS patients with PL1 or PL2 should both defined as T2. Meanwhile, ≤3 cm TS patients with LN metastasis can be regarded as T1, whether NSCLC patients accompanied with PL1 or PL2.
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Affiliation(s)
- Pu Fang
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Jiayi Cheng
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Youjin Lu
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Lin Fu
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital, Anhui Medical University, Hefei, China
- Department of Toxicology, Anhui Medical University, Hefei, China
- Correspondence: Lin Fu
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Zhao L, Bai G, Ji Y, Peng Y, Zang R, Gao S. Consolidation Tumor Ratio Combined With Pathological Features Could Predict Status of Lymph Nodes of Early-Stage Lung Adenocarcinoma. Front Oncol 2022; 11:749643. [PMID: 35096566 PMCID: PMC8794794 DOI: 10.3389/fonc.2021.749643] [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: 07/29/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Stage IA lung adenocarcinoma manifested as part-solid nodules (PSNs), has attracted immense attention owing to its unique characteristics and the definition of its invasiveness remains unclear. We sought to develop a nomogram for predicting the status of lymph nodes of this kind of nodules. METHODS A total of 2,504 patients between September 2018 to October 2020 with part-solid nodules in our center were reviewed. Their histopathological features were extracted from paraffin sections, whereas frozen sections were reviewed to confirm the consistency of frozen sections and paraffin sections. Univariate and multivariate logistic regression analyses and Akaike information criterion (AIC) variable selection were performed to assess the risk factors of lymph node metastasis and construct the nomogram. The nomogram was subjected to bootstrap internal validation and external validation. The concordance index (C-index) was applied to evaluate the predictive accuracy and discriminative ability. RESULTS We enrolled 215 and 161 eligible patients in the training cohort and validation cohort, respectively. The sensitivity between frozen and paraffin sections on the presence of micropapillary/solid subtype was 78.4%. Multivariable analysis demonstrated that MVI, the presence of micropapillary/solid subtype, and CTR >0.61 were independently associated with lymph node metastasis (p < 0.01). Five risk factors were integrated into the nomogram. The nomogram demonstrated good accuracy in estimating the risk of lymph node metastasis, with a C-index of 0.945 (95% CI: 0.916-0.974) in the training cohort and a C-index of 0.975 (95% CI: 0.954-0.995) in the validation cohort. The model's calibration was excellent in both cohorts. CONCLUSION The nomogram established showed excellent discrimination and calibration and could predict the status of lymph nodes for patients with ≤3 cm PSNs. Also, this prediction model has the prediction potential before the end of surgery.
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Affiliation(s)
- Liang Zhao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangyu Bai
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Ji
- Department of Thoracic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yue Peng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruochuan Zang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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11
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Wei SH, Zhang JM, Shi B, Gao F, Zhang ZX, Qian LT. The value of CT radiomics features to predict visceral pleural invasion in ≤3 cm peripheral type early non-small cell lung cancer. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2022; 30:1115-1126. [PMID: 35938237 DOI: 10.3233/xst-221220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate predictive value of CT-based radiomics features on visceral pleural invasion (VPI) in ≤3.0 cm peripheral type early non-small cell lung cancer (NSCLC). METHODS A total of 221 NSCLC cases were collected. Among them, 115 are VPI-positive and 106 are VPI-negative. Using a stratified random sampling method, 70% cases were assigned to training dataset (n = 155) and 30% cases (n = 66) were assigned to validation dataset. First, CT findings, imaging features, clinical data and pathological findings were retrospectively analyzed, the size, location and density characteristics of nodules and lymph node status, the relationship between lesions and pleura (RAP) were assessed, and their mean CT value and the shortest distance between lesions and pleura (DLP) were measured. Next, the minimum redundancy-maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) features were extracted from the imaging features. Then, CT imaging prediction model, texture feature prediction model and joint prediction model were built using multifactorial logistic regression analysis method, and the area under the ROC curve (AUC) was applied to evaluate model performance in predicting VPI. RESULTS Mean diameter, density, fractal relationship with pleura, and presence of lymph node metastasis were all independent predictors of VPI. When applying to the validation dataset, the CT imaging model, texture feature model, and joint prediction model yielded AUC = 0.882, 0.824 and 0.894, respectively, indicating that AUC of the joint prediction model was the highest (p < 0.05). CONCLUSION The study demonstrates that the joint prediction model containing CT morphological features and texture features enables to predict the presence of VPI in early NSCLC preoperatively at the highest level.
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Affiliation(s)
- Shu-Hua Wei
- Department of Radiology, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
| | - Jin-Mei Zhang
- Department of Radiology, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
| | - Bin Shi
- Department of Radiology, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
| | - Fei Gao
- Department of Radiology, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
| | - Zhao-Xuan Zhang
- Department of Pathology, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
| | - Li-Ting Qian
- Department of Radiotherapy, Anhui Provincial Cancer Hospital, The First Affiliated Hospital of USTC West District, Hefei, China
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12
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Masiuk M, Waloszczyk P, Lewandowska M, Dobak E, Urasinska E. Nucleolin and nucleophosmin expression patterns in pulmonary adenocarcinoma invading the pleura and in pleural malignant mesothelioma. Thorac Cancer 2020; 11:2529-2535. [PMID: 32671956 PMCID: PMC7471022 DOI: 10.1111/1759-7714.13564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Visceral pleural invasion (VPI) in adenocarcinoma of the lung is considered a poor prognostic factor. The purpose of this study was to analyze nucleolin and nucleophosmin expression in pulmonary adenocarcinoma (PA) with VPI and in pleural malignant mesothelioma. METHODS The study was conducted on the basis of 19 pathologically-confirmed cases of adenocarcinoma of the lung and 29 cases of epithelioid malignant mesothelioma. The nucleolin and nucleophosmin expression was assessed immunohistochemically and analyzed with image analysis software. RESULTS Nucleolin expression was lower while nucleophosmin was higher in pleural invasion of pulmonary adenocarcinoma than in the central part of the tumor. Differences in subpopulations of cells with different expression of proteins studied were also found. Malignant mesothelioma showed lower nucleolin expression than adenocarcinoma of the lung but no differences in nucleophosmin expression were found. CONCLUSIONS The results of our study suggested that lower nucleolin and higher nucleophosmin expression may be related to higher invasiveness of adenocarcinoma of the lung. Differences in nucleolin expression between pulmonary adenocarcinoma and malignant mesothelioma indicate another aspect of biology of these pleura-invading cancers that requires further study. KEY POINTS SIGNIFICANT FINDINGS OF THE STUDY: Differences in nucleolin and nucleophosmin expression in pleura invading pulmonary adenocarcinoma indicate the involvement of these proteins in its locoregional spread while differences in nucleolin expression between pulmonary adenocarcinoma and malignant mesothelioma suggest another aspect of biology of these cancers. WHAT THIS STUDY ADDS This is the first study on nucleolin and nucleophosmin expression in pleural malignant mesothelioma and pleura-invading pulmonary adenocarcinoma. Our findings may assist in understanding the mechanisms of locoregional spread of adenocarcinoma and differences between these two pleura-invading cancers.
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Affiliation(s)
- Marek Masiuk
- Department of PathologyPomeranian Medical UniversitySzczecinPoland
| | - Piotr Waloszczyk
- Independent Laboratory of Pathology “Zdunomed” LLCSzczecinPoland
| | | | - Ewa Dobak
- Department of PathologyPomeranian Medical UniversitySzczecinPoland
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Wu Q, Wang L, Wei H, Li B, Yang J, Wang Z, Xu J, Zhou YL, Zhang B. Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures. Int Immunopharmacol 2020; 83:106477. [PMID: 32278127 DOI: 10.1016/j.intimp.2020.106477] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/30/2020] [Accepted: 04/02/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Although multiple key molecules in lung adenocarcinoma (LUAD) have been identified in recent years, the overall tumor microenvironment (TME) immune cell infiltration characterizations mediated by multiple key molecules remain little known. This study aimed to integrate the roles of multiple key molecules to evaluate patient prognosis and TME cell infiltration characterization as well as responses to immunotherapy. METHODS Using combined LUAD cancer cohorts with 228 normal samples and 913 tumor samples, we comprehensively dissected the differences of genomic and TME cell infiltration landscapes between normal lung tissues and tumor tissues. The single-sample gene-set enrichment analysis (ssGSEA) was used to quantify the relative abundance of 24 cell infiltration. The riskScore signature was constructed using a least absolute shrinkage and selection operator (LASSO) Cox regression mode. RESULTS Seven novel key molecules with significantly up-regulated expression in LUAD were determined. Survival analyses revealed their important prognostic values. LUAD microenvironment presented a markedly decreased infiltration of immune cells compared to normal lung tissues. We found tumors with up-regulated expression of these key molecules exhibited a significantly decreased TME cell infiltration and increased immune checkpoint molecule expression. The high riskScore subtype was characterized by decreased innate and adaptive immune cell infiltration. Activation of p53 signaling pathway and regulator T cells were observed in the high riskScore subtype, which were regarded as T-cell suppressive and could be responsible for poorer prognosis in this subtype (HR 1.83(1.27-2.63)). Multivariate analyses demonstrated the riskScore was a robust and independent prognostic biomarker, and its value in predicting immunotherapeutic outcomes was also confirmed (HR 1.70(1.22-2.37)). CONCLUSIONS This study reveal a novel gene signature significantly related to patient prognosis and TME cell infiltration in LUAD. We demonstrated the integrated roles of multiple key molecules played a crucial role in shaping TME cell infiltration diversity and complexity. Evaluating the integrated characterization of multiple key molecules could contribute to predicting patients' response to immunotherapy and guiding more effective immunotherapy strategies.
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Affiliation(s)
- Qiong Wu
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, PR China; Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, PR China
| | - Lei Wang
- School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai 200025, PR China
| | - Huagen Wei
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, PR China
| | - Ben Li
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, PR China
| | - Jiaming Yang
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, PR China
| | - Zilin Wang
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, PR China
| | - Jianfeng Xu
- Department of Imaging, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, PR China.
| | - You Lang Zhou
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, PR China.
| | - Bo Zhang
- Medical School of Nantong University, Nantong 226001, Jiangsu Province, PR China; Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, PR China.
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Yuan Y, Gong H, Li Y, Zhang H, Li Y, Li W, Wang P, Shi R, Liu H, Chen J. [Effect of Apatinib on Invasion and Migration of Lung Cancer Cells
and Its Mechanism]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2019; 22:264-270. [PMID: 31109435 PMCID: PMC6533190 DOI: 10.3779/j.issn.1009-3419.2019.05.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
背景与目的 肺癌是世界上对人类健康产生重大危害的癌症之一,近年来靶向治疗的效果日益显著。阿帕替尼(Apatinib, YN968D1)是目前研究较热的多靶点抗肿瘤药物,本研究旨在探讨Apatinib对肺癌细胞生物学特性的影响和其可能的作用机制。 方法 体外培养肺腺癌细胞株H1299与H3255,CCK法、划痕实验及Transwell实验检测Apatinib对H1299与H3255细胞增殖、迁移及侵袭的影响,Western blot检测肿瘤血管生成和侵袭相关蛋白的表达。 结果 Apatinib显著抑制H1299与H3255的增殖、迁移及侵袭能力,并呈浓度依赖性。Western blot显示,随药物浓度增加,VEGF、VEGFR2、N-cadherin、MMP9、MMP2、Vimentin表达下调,E-cadherin表达上调。 结论 Apatinib可抑制肺腺癌细胞H1299、H3255的侵袭迁移能力,其机制可能通过调控上皮-间充质转化及基质金属蛋白酶相关蛋白的表达来实现。
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Affiliation(s)
- Yin Yuan
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hao Gong
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yongwen Li
- Tianjin Key Laboratory of lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hongbing Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Li
- Tianjin Key Laboratory of lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Weiting Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Pan Wang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ruifeng Shi
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hongyu Liu
- Tianjin Key Laboratory of lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jun Chen
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.,Tianjin Key Laboratory of lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
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