1
|
Villa M, Sharma GG, Malighetti F, Mauri M, Arosio G, Cordani N, Lobello C, Larose H, Pirola A, D'Aliberti D, Massimino L, Criscuolo L, Pagani L, Chinello C, Mastini C, Fontana D, Bombelli S, Meneveri R, Lovisa F, Mussolin L, Janikova A, Pospíšilová Š, Turner SD, Inghirami G, Magni F, Urso M, Pagni F, Ramazzotti D, Piazza R, Chiarle R, Gambacorti-Passerini C, Mologni L. Recurrent somatic mutations of FAT family cadherins induce an aggressive phenotype and poor prognosis in anaplastic large cell lymphoma. Br J Cancer 2024; 131:1781-1795. [PMID: 39478125 PMCID: PMC11589140 DOI: 10.1038/s41416-024-02881-7] [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: 02/23/2024] [Revised: 10/03/2024] [Accepted: 10/11/2024] [Indexed: 11/27/2024] Open
Abstract
BACKGROUND Anaplastic Large Cell Lymphoma (ALCL) is a rare and aggressive T-cell lymphoma, classified into ALK-positive and ALK-negative subtypes, based on the presence of chromosomal translocations involving the ALK gene. The current standard of treatment for ALCL is polychemotherapy, with a high overall survival rate. However, a subset of patients does not respond to or develops resistance to these therapies, posing a serious challenge for clinicians. Recent targeted treatments such as ALK kinase inhibitors and anti-CD30 antibody-drug conjugates have shown promise but, for a fraction of patients, the prognosis is still unsatisfactory. METHODS We investigated the genetic landscape of ALK + ALCL by whole-exome sequencing; recurring mutations were characterized in vitro and in vivo using transduced ALCL cellular models. RESULTS Recurrent mutations in FAT family genes and the transcription factor RUNX1T1 were found. These mutations induced changes in ALCL cells morphology, growth, and migration, shedding light on potential factors contributing to treatment resistance. In particular, FAT4 silencing in ALCL cells activated the β-catenin and YAP1 pathways, which play crucial roles in tumor growth, and conferred resistance to chemotherapy. Furthermore, STAT1 and STAT3 were hyper-activated in these cells. Gene expression profiling showed global changes in pathways related to cell adhesion, cytoskeletal organization, and oncogenic signaling. Notably, FAT mutations associated with poor outcome in patients. CONCLUSIONS These findings provide novel insights into the molecular portrait of ALCL, that could help improve treatment strategies and the prognosis for ALCL patients.
Collapse
Affiliation(s)
- Matteo Villa
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Geeta G Sharma
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Federica Malighetti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Mario Mauri
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Giulia Arosio
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Nicoletta Cordani
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Cosimo Lobello
- Center of Molecular Medicine, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Hugo Larose
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
| | | | - Deborah D'Aliberti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Luca Massimino
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Lucrezia Criscuolo
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Lisa Pagani
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Clizia Chinello
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Cristina Mastini
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Diletta Fontana
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Silvia Bombelli
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Neurogenomics Research Center, Fondazione Human Technopole, Milano, Italy
| | - Raffaella Meneveri
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Federica Lovisa
- Maternal and Child Health, Department Pediatric Hematology, Oncology and Stem Cell Transplant Center, University of Padua, Padua, Italy
- Pediatric Research Institute "Città della Speranza", Padua, Italy
| | - Lara Mussolin
- Maternal and Child Health, Department Pediatric Hematology, Oncology and Stem Cell Transplant Center, University of Padua, Padua, Italy
- Pediatric Research Institute "Città della Speranza", Padua, Italy
| | - Andrea Janikova
- Center of Molecular Medicine, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Šárka Pospíšilová
- Center of Molecular Medicine, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Suzanne D Turner
- Division of Cellular and Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, UK
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | | | - Fulvio Magni
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Mario Urso
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Department of Pathology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Department of Pathology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Daniele Ramazzotti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Rocco Piazza
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Roberto Chiarle
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
- Department of Pathology, Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Haematopathology, European Institute of Oncology IRCCS, Milan, Italy
| | - Carlo Gambacorti-Passerini
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Department of Haematology, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Luca Mologni
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
| |
Collapse
|
2
|
Xu H, Du W, Jing X, Xie J, Li P. Development of a prognostic model for lung adenocarcinoma polarity-related genes and analysis of immune landscape. Biotechnol Appl Biochem 2024; 71:817-834. [PMID: 38475658 DOI: 10.1002/bab.2579] [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: 10/16/2023] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
Despite the progress made in the management of lung adenocarcinoma (LUAD), the overall prognosis for LUAD individuals remains suboptimal. While the role of cell polarity in tumor invasion and metastasis is well established, its prognostic significance in LUAD is still unknown. Differential analysis was performed on the Cancer Genome Atlas (TCGA)-LUAD and normal lung tissue, and candidate genes were identified by intersecting differentially expressed genes with polarity-related genes (PRGs). A prognostic model was constructed using univariate and multivariate Cox regression and LASSO regression. To enhance the robustness of the analysis, an independent prognostic analysis was conducted by incorporating relevant clinical information. The accuracy and sensitivity of the model were validated using survival analysis and ROC curves. Finally, immune landscape, immune therapy, tumor mutation burden, and drug sensitivity analysis were carried out on high- and low-risk patients. Ten prognostic genes were screened to divide LUAD patients into different risk groups. Survival analysis, ROC curves, and univariate/multivariate Cox regression analyses collectively demonstrated the favorable predictive performance of the model, which could be an independent prognostic factor. The nomogram, in conjunction with the calibration curve, demonstrated the model's compelling predictive capacity in prognosticating the overall survival of LUAD individuals. Low-risk LUAD patients exhibited heightened levels of immune cell infiltration, immune scores, and immune checkpoint expression compared to high-risk individuals. So, they may have a greater likelihood of benefiting from immune therapy. The high-risk group demonstrated a remarkably higher tumor mutation burden (TMB) in contrast with the low-risk group. XAV-939, Fulvestrant, and SR16157 may have potential value in the clinical use of LUAD. We revealed the potential linkage between PRGs and LUAD prognosis, and the application of these prognostic factors in risk stratification and prognosis prediction of LUAD patients may be of great significance.
Collapse
Affiliation(s)
- Hongqiu Xu
- Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China
| | - Wenqiang Du
- Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China
| | - Xuelong Jing
- Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China
| | - Jingen Xie
- Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China
| | - Pengfei Li
- Department of General Medicine, Huai'an Hospital of Huai'an City, Huai'an City, Jiangsu Province, China
| |
Collapse
|
3
|
Yang Y, Li Y, Yang Q, Liu Z, Chang X, Yang H, Liu J, Li Z, Zuo D. FAT4 activation inhibits epithelial-mesenchymal transition (EMT) by promoting autophagy in H2228/Cer cells. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 40:64. [PMID: 36576661 DOI: 10.1007/s12032-022-01934-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/16/2022] [Indexed: 12/29/2022]
Abstract
As a tumor suppressor in lung cancer, FAT atypical cadherin 4 (FAT4) has a critical role in epithelial-mesenchymal transition (EMT). However, the role of FAT4 in ceritinib-resistant anaplastic lymphoma kinase (ALK) positive non-small cell lung cancer (NSCLC) EMT has not been reported. It is necessary to discuss the role of FAT4 in this process and its potential mechanism of interaction. We found that the expression level of FAT4 was downregulated markedly in ceritinib-resistant NCI-H2228 (H2228/Cer) cells. Jujuboside A, a FAT4 activator, diminished EMT and metastasis of H2228/Cer cells. Importantly, autophagy inhibition inverted the inhibitory effect of FAT4 activation on EMT. Furthermore, we found the regulatory action of FAT4 on autophagy was related to proteasome 26S subunit ubiquitin receptor and non-ATPase 4 (PSMD4) and proteasome 20S subunit beta 4 (PSMB4), and the inhibitory effect of autophagy on EMT might be related to ROS/NF-κB/IκB-α and Wnt/β-catenin pathways. In conclusion, FAT4 activation can inhibit the process of EMT in H2228/Cer cells by promoting autophagy, which provides a potential target for ceritinib-resistant ALK positive NSCLC therapy.
Collapse
Affiliation(s)
- Yuying Yang
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Yang Li
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Qian Yang
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Zi Liu
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Xing Chang
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Huan Yang
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Jingang Liu
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Zengqiang Li
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China
| | - Daiying Zuo
- Department of Pharmacology, Shenyang Pharmaceutical University, Shenhe District, 103 Wenhua Road, Shenyang, 110016, China.
| |
Collapse
|