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Volmonen KK, Rönty MJ, Sederholm A, Paajanen JI, Ilonen IK, Jartti AE, Knuuttila AH. Evaluating tumour budding could improve the new grading system for lung adenocarcinoma. Lung Cancer 2025; 199:108067. [PMID: 39719744 DOI: 10.1016/j.lungcan.2024.108067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 12/12/2024] [Accepted: 12/18/2024] [Indexed: 12/26/2024]
Abstract
OBJECTIVES To study the prognostic significance of tumour budding (TB) compared with the grading of lung adenocarcinoma (LAC). MATERIALS AND METHODS The postoperative haematoxylin and eosin-stained histological slices of 207 surgically treated LAC patients were retrospectively reviewed by a lung pathologist. Two groups were formed from the cohort: the high-grade TB group (≥10 buds) and low-grade TB group (0-9 buds). The prognostic significance of high-grade TB for the 5-year progression-free survival (PFS) and overall survival (OS) of patients was studied using the Kaplan-Meier method and Cox regression models. A novel four-tier grading system for LACs was developed by combining the World Health Organization (WHO) grading system and high-grade TB. The computed tomography (CT) imaging features of the tumours were assessed semiquantitatively by two chest radiologists. RESULTS There were 166 patients with low-grade TB and 41 LAC patients with high-grade TB. Most of the tumours with high-grade TB were Grade 3 tumours. The median follow-up time was 60 months. The 5-year PFS was lower in the high-grade TB group than in the low-grade TB group (37.6 vs. 50.9 months, p < 0.001). High-grade TB remained an independent prognostic factor for poor PFS (clinical model: hazard ratio [HR] = 2.07, adj. p = 0.012, histopathological model: adj. HR = 2.09, adj. p = 0.010). Compared with the WHO Grade 3 group, the Novel Grade 4 group had a shorter mean PFS (36.7 vs. 45.3 months), and according to the PFS analysis, the novel four-tier grading system was superior to the WHO grading system (AIC = 591.9 vs. AIC = 596.6, ΔAIC > 2). On CT, tumours with higher TBs are usually smooth or spiculated. CONCLUSION This is the first study to show that high-grade TB is associated with a higher LAC grade. The incorporation of TB into the WHO grading scheme may improve the prognostic significance of LAC grading.
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Affiliation(s)
- Kirsi K Volmonen
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Finland, Haartmaninkatu 4, 00029 HUS Helsinki, Finland.
| | - Mikko J Rönty
- Pathology Department, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, 00029 HUS Helsinki, Finland
| | - Anastasia Sederholm
- Radiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Finland, Haartmaninkatu 4, 00029 HUS Helsinki, Finland
| | - Juuso I Paajanen
- Cancer Center and Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, 00029 HUS Helsinki, Finland
| | - Ilkka K Ilonen
- Cancer Center and Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, 00029 HUS Helsinki, Finland
| | - Airi E Jartti
- Department of Diagnostic Radiology, Oulu University Hospital, Kajaanintie 50, 90220 Oulu, Finland
| | - Aija H Knuuttila
- Cancer Center and Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, 00029 HUS Helsinki, Finland
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2
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Mantilla JG, Moreira AL. The Grading System for Lung Adenocarcinoma: Brief Review of its Prognostic Performance and Future Directions. Adv Anat Pathol 2024; 31:283-288. [PMID: 38666775 DOI: 10.1097/pap.0000000000000452] [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: 08/09/2024]
Abstract
Histologic grading of tumors is associated with prognosis in many organs. In the lung, the most recent grading system proposed by International association for the Study of Lung Cancer (IASLC) and adopted by the World Health Organization (WHO) incorporates the predominant histologic pattern, as well as the presence of high-grade architectural patterns (solid, micropapillary, and complex glandular pattern) in proportions >20% of the tumor surface. This system has shown improved prognostic ability when compared with the prior grading system based on the predominant pattern alone, across different patient populations. Interobserver agreement is moderate to excellent, depending on the study. IASLC/WHO grading system has been shown to correlate with molecular alterations and PD-L1 expression in tumor cells. Recent studies interrogating gene expression has shown correlation with tumor grade and molecular alterations in the tumor microenvironment that can further stratify risk of recurrence. The use of machine learning algorithms to grade nonmucinous adenocarcinoma under this system has shown accuracy comparable to that of expert pulmonary pathologists. Future directions include evaluation of tumor grade in the context of adjuvant and neoadjuvant therapies, as well as the development of better prognostic indicators for mucinous adenocarcinoma.
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Affiliation(s)
- Jose G Mantilla
- Department of Pathology, New York University Grossman School of Medicine, New York, NY
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3
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Hegedűs F, Zombori-Tóth N, Kiss S, Lantos T, Zombori T. Prognostic impact of the IASLC grading system of lung adenocarcinoma: a systematic review and meta-analysis. Histopathology 2024; 85:51-61. [PMID: 38485464 DOI: 10.1111/his.15172] [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: 09/04/2023] [Revised: 02/12/2024] [Accepted: 02/24/2024] [Indexed: 06/09/2024]
Abstract
AIMS Tumour grading is an essential part of the pathologic assessment that promotes patient management. The International Association for the Study of Lung Cancer (IASLC) proposed a grading system for non-mucinous lung adenocarcinoma in 2020. We aimed to validate the prognostic impact of this novel grading system on overall survival (OS) and recurrence-free survival (RFS) based on literature data. METHODS AND RESULTS The review protocol was registered in PROSPERO (CRD42023396059). We aimed to identify randomized or non-randomized controlled trials published after 2020 comparing different IASLC grade categories in Medline, Embase, and CENTRAL. Hazard ratios (HRs) with 95% confidence intervals (CIs) of OS and RFS were pooled and the Quality In Prognosis Studies (QUIPS) tool was used to assess the risk of bias in the included studies. Ten articles were eligible for this review. Regarding OS estimates, grade 1 lung adenocarcinomas were better than grade 3 both in univariate and multivariate analyses (HROSuni = 0.19, 95% CI: 0.05-0.66, p = 0.009; HROSmulti = 0.21, 95% CI: 0.12-0.38, p < 0.001). Regarding RFS estimates, grade 3 adenocarcinomas had a worse prognosis than grade 1 in multivariate analysis (HRRFSmulti: 0.22, 95% CI: 0.14-0.35, p < 0.001). CONCLUSION The literature data and the result of our meta-analysis demonstrate the prognostic relevance of the IASLC grading system. This supports the inclusion of this prognostic parameter in daily routine worldwide.
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Affiliation(s)
- Fanni Hegedűs
- Department of Pathology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Noémi Zombori-Tóth
- Department of Pulmonology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Szabolcs Kiss
- Heim Pál National Pediatric Institute, Budapest, Hungary
| | - Tamás Lantos
- Department of Medical Physics and Informatics, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
| | - Tamás Zombori
- Department of Pathology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary
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4
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Claudio Quiros A, Coudray N, Yeaton A, Yang X, Liu B, Le H, Chiriboga L, Karimkhan A, Narula N, Moore DA, Park CY, Pass H, Moreira AL, Le Quesne J, Tsirigos A, Yuan K. Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides. Nat Commun 2024; 15:4596. [PMID: 38862472 PMCID: PMC11525555 DOI: 10.1038/s41467-024-48666-7] [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: 08/11/2023] [Accepted: 05/08/2024] [Indexed: 06/13/2024] Open
Abstract
Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study.
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Affiliation(s)
- Adalberto Claudio Quiros
- School of Computing Science, University of Glasgow, Glasgow, Scotland, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Nicolas Coudray
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA
- Department of Cell Biology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Medicine, Division of Precision Medicine, NYU Grossman School of Medicine, New York, USA
| | - Anna Yeaton
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Xinyu Yang
- School of Computing Science, University of Glasgow, Glasgow, Scotland, UK
| | - Bojing Liu
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Soln, Sweden
| | - Hortense Le
- Department of Medicine, Division of Precision Medicine, NYU Grossman School of Medicine, New York, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Luis Chiriboga
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Afreen Karimkhan
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Navneet Narula
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - David A Moore
- Department of Cellular Pathology, University College London Hospital, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Christopher Y Park
- Department of Medicine, Division of Precision Medicine, NYU Grossman School of Medicine, New York, USA
| | - Harvey Pass
- Department of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Andre L Moreira
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - John Le Quesne
- School of Cancer Sciences, University of Glasgow, Glasgow, Scotland, UK.
- Cancer Research UK Scotland Institute, Glasgow, Scotland, UK.
- Queen Elizabeth University Hospital, Greater Glasgow and Clyde NHS Trust, Glasgow, Scotland, UK.
| | - Aristotelis Tsirigos
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA.
- Department of Medicine, Division of Precision Medicine, NYU Grossman School of Medicine, New York, USA.
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
| | - Ke Yuan
- School of Computing Science, University of Glasgow, Glasgow, Scotland, UK.
- School of Cancer Sciences, University of Glasgow, Glasgow, Scotland, UK.
- Cancer Research UK Scotland Institute, Glasgow, Scotland, UK.
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5
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Moreira AL, Zhou F. Invasion and Grading of Pulmonary Non-Mucinous Adenocarcinoma. Surg Pathol Clin 2024; 17:271-285. [PMID: 38692810 DOI: 10.1016/j.path.2023.11.009] [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] [Indexed: 05/03/2024]
Abstract
Lung adenocarcinoma staging and grading were recently updated to reflect the link between histologic growth patterns and outcomes. The lepidic growth pattern is regarded as "in-situ," whereas all other patterns are regarded as invasive, though with stratification. Solid, micropapillary, and complex glandular patterns are associated with worse prognosis than papillary and acinar patterns. These recent changes have improved prognostic stratification. However, multiple pitfalls exist in measuring invasive size and in classifying lung adenocarcinoma growth patterns. Awareness of these limitations and recommended practices will help the pathology community achieve consistent prognostic performance and potentially contribute to improved patient management.
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Affiliation(s)
- Andre L Moreira
- Department of Pathology, New York University Grossman School of Medicine, 560 First Avenue, New York, NY 10016, USA.
| | - Fang Zhou
- Department of Pathology, New York University Grossman School of Medicine, 560 First Avenue, New York, NY 10016, USA
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6
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Ohtani-Kim SJY, Taki T, Tane K, Miyoshi T, Samejima J, Aokage K, Nagasaki Y, Kojima M, Sakashita S, Watanabe R, Sakamoto N, Goto K, Tsuboi M, Ishii G. Efficacy of Preoperative Biopsy in Predicting the Newly Proposed Histologic Grade of Resected Lung Adenocarcinoma. Mod Pathol 2023; 36:100209. [PMID: 37149221 DOI: 10.1016/j.modpat.2023.100209] [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: 12/27/2022] [Revised: 04/05/2023] [Accepted: 04/25/2023] [Indexed: 05/08/2023]
Abstract
A novel histologic grading system for invasive lung adenocarcinomas (LUAD) has been newly proposed and adopted by the World Health Organization (WHO) classification. We aimed to evaluate the concordance of newly established grades between preoperative biopsy and surgically resected LUAD samples. Additionally, factors affecting the concordance rate and its prognostic impact were also analyzed. In this study, surgically resected specimens of 222 patients with invasive LUAD and their preoperative biopsies collected between January 2013 and December 2020 were used. We determined the histologic subtypes of preoperative biopsy and surgically resected specimens and classified them separately according to the novel WHO grading system. The overall concordance rate of the novel WHO grades between preoperative biopsy and surgically resected samples was 81.5%, which was higher than that of the predominant subtype. When stratified by grades, the concordance rate of grades 1 (well-differentiated, 84.2%) and 3 (poorly differentiated, 89.1%) was found to be superior compared to grade 2 (moderately differentiated, 66.2%). Overall, the concordance rate was not significantly different from biopsy characteristics, including the number of biopsy samples, biopsy sample size, and tumor area size. On the other hand, the concordance rate of grades 1 and 2 was significantly higher in tumors with smaller invasive diameters, and that of grade 3 was significantly higher in tumors with larger invasive diameters. Preoperative biopsy specimens can predict the novel WHO grades, especially grades 1 and 3 of surgically resected specimens, more accurately than the former grading system, regardless of preoperative biopsy or clinicopathologic characteristics.
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Affiliation(s)
- Seiyu Jeong-Yoo Ohtani-Kim
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tetsuro Taki
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
| | - Kenta Tane
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Tomohiro Miyoshi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Joji Samejima
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Keiju Aokage
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Yusuke Nagasaki
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Motohiro Kojima
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Shingo Sakashita
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Reiko Watanabe
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Naoya Sakamoto
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan
| | - Genichiro Ishii
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, Tokyo, Japan
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7
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Terada K, Yoshizawa A, Sumiyoshi S, Rokutan-Kurata M, Nakajima N, Hamaji M, Sonobe M, Menju T, Date H, Haga H. Clinicopathological features of cytokeratin 5-positive pulmonary adenocarcinoma. Histopathology 2023; 82:439-453. [PMID: 36239561 DOI: 10.1111/his.14827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 01/20/2023]
Abstract
Cytokeratin 5 (CK5) is a marker for pulmonary squamous cell carcinoma; however, CK5 is sometimes present in pulmonary adenocarcinoma (ADC), and there is insufficient information regarding the clinicopathological features of CK5-positive ADC. We aimed to explore the clinicopathological characteristics of CK5-positive ADC using immunohistochemistry. We prepared the following two cohorts: a resected cohort containing 220 resected tumours for primarily studying the detailed morphological characteristics, and a tissue microarray (TMA) cohort containing 337 samples for investigating the associations of CK5 expression with other protein expressions, genetic and prognostic findings. CK5-positive ADC was defined to have ≥ 10% tumour cells and presence of CK5-positive tumour cells in the resected and TMA cohorts, respectively. CK5-positive ADCs were identified in 91 (16.3%) patients in the combined cohort. CK5-positive ADCs had male predominance (P = 0.012), smoking history (P = 0.001), higher stage (P < 0.001), histological high-grade components (P < 0.001), vascular invasion (P < 0.001), mucinous differentiation (P < 0.001), spread through airspaces (P < 0.001), EGFR wild-type (P < 0.001), KRAS mutations (P < 0.001), ALK rearrangement (P < 0.001) and ROS1 rearrangement (P = 0.002). In the resected cohort, more than half the CK5-positive ADCs (19 cases, 65.5%) showed mucinous differentiation; the remaining cases harboured high-grade components. In the TMA cohort, CK5-positive ADCs correlated with TTF-1 negativity (P = 0.002) and MUC5B, MUC5AC and HNF4alpha positivity (P < 0.001, 0.048, < 0.001). Further, CK5-positive ADCs had significantly lower disease-free and overall survival rates than CK5-negative ADCs (P < 0.001 for each). Additionally, multivariate analysis revealed that CK5 expression was an independent poor prognostic factor. CK5-positive ADCs showed aggressive clinical behaviour, with high-grade morphology and mucinous differentiation.
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Affiliation(s)
- K Terada
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - A Yoshizawa
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - S Sumiyoshi
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.,Department of Diagnostic Pathology, Tenri Hospital, Nara, Japan
| | - M Rokutan-Kurata
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - N Nakajima
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.,Department of Diagnostic Pathology, Toyooka Hospital, Hyogo, Japan
| | - M Hamaji
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - M Sonobe
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan.,Department of Thoracic Surgery, Osaka Red Cross Hospital, Osaka, Japan
| | - T Menju
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - H Date
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - H Haga
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
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8
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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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9
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Forest F, Laville D, da Cruz V, Casteillo F, Clemenson A, Yvorel V, Picot T. WHO grading system for invasive pulmonary lung adenocarcinoma reveals distinct molecular signature: An analysis from the cancer genome atlas database. Exp Mol Pathol 2022; 125:104756. [PMID: 35339455 DOI: 10.1016/j.yexmp.2022.104756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/19/2022] [Indexed: 12/19/2022]
Abstract
Lung adenocarcinoma grading has gained interest in the past years. Recently a three-tier tumor grading was proposed showing that it is related to patients' prognosis. Nevertheless, the underlying molecular basis of this morphological grading remains partly unknown. The aim of our work is to take advantage of The Cancer Genome Atlas lung adenocarcinoma (TCGA_LUAD) cohort to describe the molecular data associated to tumor grading. We performed a study on publicly available data of the TCGA database first by assessing a tumor grade on downloadable tumor slides. Secondly we analyzed the molecular features of each tumor grade group. Our work was performed on a study group of 449 patients. We show that aneuploidy score was significantly different between grade 2 and grade 3 groups with different chromosomal imbalance (p < 0.001). SCGB1A1 mRNA expression was higher in grade 2 (p = 0.0179) whereas NUP155, CHFR, POLQ and CDC7 have a higher expression in grade 3 (p = 0.0189, 0.0427, 0.0427 and 0.427 respectively). GZMB and KRT80 have a higher methylation of DNA in grade 2 (p = 0.0201 and 0.0359 respectively). MT1G, CLEC12B and NDUFA7 have a higher methylation of DNA in grade 3 (p < 0.001, 0.0246 and 0.0359 respectively). We showed that the number of activated pathways is different between grade 2 and grade 3 patients (p = 0.004). We showed that differentially expressed genes by mRNA analysis and DNA methylation analysis involve several genes implied in chemoresistance. This could suggest that grade 3 lung adenocarcinoma might be more resistant to chemotherapy.
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Affiliation(s)
- Fabien Forest
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; University Hospital of Saint Etienne, North Hospital, Molecular Biology of Tumors Unit, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; Corneal Graft Biology, Engineering, and Imaging Laboratory, BiiGC, EA2521, Faculty of Medicine, Jean Monnet University, Saint-Etienne, France.
| | - David Laville
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
| | - Vanessa da Cruz
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
| | - François Casteillo
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
| | - Alix Clemenson
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; University Hospital of Saint Etienne, North Hospital, Molecular Biology of Tumors Unit, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
| | - Violaine Yvorel
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; University Hospital of Saint Etienne, North Hospital, Molecular Biology of Tumors Unit, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
| | - Tiphanie Picot
- University Hospital of Saint Etienne, North Hospital, Department of Pathology, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France; University Hospital of Saint Etienne, North Hospital, Molecular Biology of Tumors Unit, Avenue Albert Raimond, 42055 Saint Etienne, Cedex 2, France
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10
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Forest F, Laville D, Habougit C, Da Cruz V, Casteillo F, Yvorel V, Bard-Sorel S, Godard W, Picot T, Tiffet O, Perrot JL, Péoc'h M. Histopathologic and molecular profiling of lung adenocarcinoma skin metastases reveals specific features. Histopathology 2021; 79:1051-1060. [PMID: 34313338 DOI: 10.1111/his.14463] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 07/20/2021] [Accepted: 07/25/2021] [Indexed: 12/09/2022]
Abstract
AIMS Little is known regarding the histopathological and molecular features of lung adenocarcinoma skin metastases. Our study is the largest to comprehensively explore these to date. METHODS AND RESULTS We performed a retrospective cohort study analysing 42 lung adenocarcinoma skin metastasis samples obtained from a database of 2659 lung adenocarcinomas collected between 2010 to 2020. EGFR exon 19 deletion was detected in one patient, and KRAS mutations were detected in 12 (33.3%) patients. The PD-L1 tumour proportion score was <1% in 27 patients, ≥1% and <50% in 8 patients, ≥50% in 6 patients, and not assessable in one patient. We showed that the predominant histopathologic subtype is different from that at other metastatic sites (p=0.024). TTF-1 was more often negative in skin metastases compared to other sites (p<0.001). The EGFR mutation rate tended to be lower for skin metastases compared to other sites (p=0.079). Skin metastases were associated with a high rate of PD-L1-negative cases (p=0.022). CONCLUSION Our work shows that the skin metastases of lung adenocarcinoma have a specific histopathologic profile.
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Affiliation(s)
- Fabien Forest
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France.,University Hospital of Saint Etienne. North Hospital, Plateforme de biologie moléculaire des tumeurs solides, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France.,Corneal Graft Biology, Engineering, and Imaging Laboratory, BiiGC, EA2521, Federative Institute of Research in Sciences and Health Engineering, Faculty of Medicine, Jean Monnet University, Saint-Etienne, France
| | - David Laville
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Cyril Habougit
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Vanessa Da Cruz
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - François Casteillo
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Violaine Yvorel
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France.,University Hospital of Saint Etienne. North Hospital, Plateforme de biologie moléculaire des tumeurs solides, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | | | - William Godard
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France.,Institut de Pathologie du Forez, 11 Rue de la République, 42000, Saint-Étienne, France
| | - Tiphanie Picot
- University Hospital of Saint Etienne. North Hospital, Plateforme de biologie moléculaire des tumeurs solides, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Olivier Tiffet
- University Hospital of Saint Etienne. North Hospital, Department of Thoracic Surgery, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Jean-Luc Perrot
- University Hospital of Saint Etienne. North Hospital, Department of Dermatology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
| | - Michel Péoc'h
- University Hospital of Saint Etienne. North Hospital, Department of Pathology, Avenue Albert Raimond, 42055, Saint Etienne CEDEX 2, France
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11
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Su CY, Burchett A, Dunworth M, Choi JS, Ewald AJ, Ahn EH, Kim DH. Engineering a 3D collective cancer invasion model with control over collagen fiber alignment. Biomaterials 2021; 275:120922. [PMID: 34126408 DOI: 10.1016/j.biomaterials.2021.120922] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 05/18/2021] [Accepted: 05/24/2021] [Indexed: 12/21/2022]
Abstract
Prior to cancer cell invasion, the structure of the extracellular matrix (ECM) surrounding the tumor is remodeled, such that circumferentially oriented matrix fibers become radially aligned. This predisposed radially aligned matrix structure serves as a critical regulator of cancer invasion. However, a biomimetic 3D model recapitulating a tumor's behavioral response to these ECM structures is not yet available. In this study, we have developed a phase-specific, force-guided method to establish a 3D dual topographical tumor model in which each tumor spheroid/organoid is surrounded by radially aligned collagen I fibers on one side and circumferentially oriented fibers on the opposite side. A coaxial rotating cylinder system was employed to construct the dual fiber topography and to pre-seed tumor spheroids/organoids within a single device. This system enables the application of different force mechanisms in the nucleation and elongation phases of collagen fiber polymerization to guide fiber alignment. In the nucleation phase, fiber alignment is enhanced by a horizontal laminar Couette flow driven by the inner cylinder rotation. In the elongation phase, fiber growth is guided by a vertical gravitational force to form a large aligned collagen matrix gel (35 × 25 × 0.5 mm) embedded with >1000 tumor spheroids. The fibers above each tumor spheroid are radially aligned along the direction of gravitational force in contrast to the circumferentially oriented fibers beneath each tumor spheroid/organoid, where the presence of the tumor interferes with the gravity-induced fiber alignment. After tumor invasion, there are more disseminated multicellular clusters on the radially aligned side, compared to the side of the tumor spheroid/organoid facing circumferentially oriented fibers. These results indicate that our 3D dual topographical model recapitulates the preference of tumors to invade and disseminate along radially aligned fibers. We anticipate that this 3D dual topographical model will have broad utility to those studying collective tumor invasion and that it has the potential to identify cancer invasion-targeted therapeutic agents.
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Affiliation(s)
- Chia-Yi Su
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Alice Burchett
- Department of Bioengineering, University of Washington, Seattle, WA, United States
| | - Matthew Dunworth
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jong Seob Choi
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Andrew J Ewald
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Cell Biology and Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Eun Hyun Ahn
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Deok-Ho Kim
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
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12
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Rokutan-Kurata M, Yoshizawa A, Ueno K, Nakajima N, Terada K, Hamaji M, Sonobe M, Menju T, Date H, Morita S, Haga H. Validation Study of the International Association for the Study of Lung Cancer Histologic Grading System of Invasive Lung Adenocarcinoma. J Thorac Oncol 2021; 16:1753-1758. [PMID: 33905897 DOI: 10.1016/j.jtho.2021.04.008] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 03/15/2021] [Accepted: 04/18/2021] [Indexed: 01/08/2023]
Abstract
INTRODUCTION A histologic grading system for invasive lung adenocarcinoma (ADC) has been proposed by the International Association for the Study of Lung Cancer (IASLC) Pathology Committee in June 2020. This study evaluated the prognostic value of the IASLC histologic grading system (the IASLC system) in a large Japanese cohort. METHODS We performed comprehensive histologic subtyping using the semiquantitative estimation of five major patterns and complex glandular patterns in patients with a completely resected lung ADC and determined the histologic grade using the IASLC system. Concordance index and receiver-operating characteristic curves were used to evaluate the clinical utility of the IASLC system for recurrence and death; the comparison was performed with the architectural-pattern system (the Arch system) and the grading system on the basis of the two most predominant patterns (the Sica's system). RESULTS Of 1002 patients with invasive ADC, 235 had recurrent disease and 166 died of lung cancer. The concordance index and area under the curve of the IASLC system were 0.777 and 0.807 for recurrence and 0.767 and 0.776 for death, respectively. These were similar to those of the Arch system (0.763 and 0.796 for recurrence, 0.743 and 0.755 for death) and the Sica's system (0.786 and 0.814 for recurrence, 0.762 and 0.773 for death). CONCLUSIONS We reported that the IASLC system for invasive lung ADC has prognostic significance by evaluating a large Japanese cohort. We believe that the IASLC grading system will provide physicians with better information for postsurgery treatment.
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Affiliation(s)
| | - Akihiko Yoshizawa
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan.
| | - Kentaro Ueno
- Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Naoki Nakajima
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Kazuhiro Terada
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Masatsugu Hamaji
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - Makoto Sonobe
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan; Department of Thoracic Surgery, Osaka Red-Cross Hospital, Osaka, Japan
| | - Toshi Menju
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - Hiroshi Date
- Department of Thoracic Surgery, Kyoto University Hospital, Kyoto, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hironori Haga
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
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