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Ogawa H, Koga T, Pham NA, Bernards N, Gregor A, Sata Y, Kitazawa S, Hiraishi Y, Ishiwata T, Aragaki M, Yokote F, Effat A, Kazlovich K, Li Q, Hueniken K, Li M, Maniwa Y, Tsao MS, Yasufuku K. Clinical and pathological predictors of engraftment for patient-derived xenografts in lung adenocarcinoma. Lung Cancer 2024; 194:107863. [PMID: 38968761 DOI: 10.1016/j.lungcan.2024.107863] [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: 04/11/2024] [Revised: 05/25/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024]
Abstract
Patient-derived xenografts (PDXs) are increasingly utilized in preclinical drug efficacy studies due to their ability to retain the molecular, histological, and drug response characteristics of patient tumors. This study aimed to investigate the factors influencing the successful engraftment of PDXs. Lung adenocarcinoma PDXs were established using freshly resected tumor tissues obtained through surgery. Radiological data of pulmonary nodules from this PDX cohort were analyzed, categorizing them into solid tumors and tumors with ground-glass opacity (GGO) based on preoperative CT images. Gene mutation status was obtained from next generation sequencing data and MassARRAY panel. A total of 254 resected primary lung adenocarcinomas were utilized for PDX establishment, with successful initial engraftment in 58 cases (22.8 %); stable engraftment defined as at least three serial passages was observed in 43 cases (16.9 %). The stable engraftment rates of PDXs from solid tumors and tumors with GGO were 22.1 % (42 of 190 cases) and 1.6 % (1 of 64 cases), respectively (P < 0.001). Adenocarcinomas with advanced stage, poor differentiation, solid histologic subtype, and KRAS or TP53 gene mutations were associated with stable PDX engraftment. Avoiding tumors with GGO features could enhance the cost-effectiveness of establishing PDX models from early-stage resected lung adenocarcinomas.
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Affiliation(s)
- Hiroyuki Ogawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, Hyogo, Japan
| | - Takamasa Koga
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Nhu-An Pham
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Nicholas Bernards
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Alexander Gregor
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Yuki Sata
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Shinsuke Kitazawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Yoshihisa Hiraishi
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Tsukasa Ishiwata
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Masato Aragaki
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Fumi Yokote
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Andrew Effat
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Kate Kazlovich
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Quan Li
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Katrina Hueniken
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ming Li
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
| | - Yoshimasa Maniwa
- Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, Hyogo, Japan
| | - Ming-Sound Tsao
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
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Wu H, Feng J, Lu S, Huang J. A large-scale, multicenter characterization of BRAF G469V/A-mutant non-small cell lung cancer. Cancer Med 2024; 13:e7305. [PMID: 38770647 PMCID: PMC11106686 DOI: 10.1002/cam4.7305] [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: 11/05/2023] [Revised: 04/09/2024] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Mutated BRAF is identified in 1%-5% non-small cell lung cancer (NSCLC) patients, with non-V600 mutations accounting for 50%-70% of these. The most common non-V600 mutation is BRAF G469V/A. Currently, there are no targeted therapies available for non-V600 mutated patients. A recent report provided interesting preclinical evidence revealing sensitivity of BRAF G469V to epidermal growth factor receptor (EGFR) inhibitors, raising the possibility of repurposing anti-EGFR agents. It is therefore worthy to characterize the clinical and molecular features of BRAF G469V/A-mutant NSCLC to provide more insights for precision therapy. METHODS We conducted a retrospective screening of 25,694 Chinese patients with advanced or metastatic NSCLC to identify individuals with mutated BRAF. Additionally, we performed similar screenings on patients with adenocarcinoma (LUAD) from The Cancer Genome Atlas (TCGA) cohort (n = 567) and the MSKCC cohort (n = 1152). Subsequently, we characterized the clinical and molecular features of the patients carrying BRAF mutations. RESULTS BRAF G469V was identified in 28 (0.1%) patients from the Chinese NSCLC cohort and 5 (0.9%) from TCGA-LUAD. Notably, none was identified in the MSKCC cohort. G469A was found in 79 (0.3%) Chinese patients, 2 (0.4%) from TCGA-LUAD, and 9 (0.8%) from the MSKCC cohort. Relative allele frequency analysis suggested most BRAF mutations as driven clones. Tumor mutation burden (median 4 mutations/Mb) was not significantly different between patients carrying G469V, G469A, V600E, or other BRAF mutations. Surprisingly, KRAS mutations were found in approximately 50% of patients with G469V mutation and about 8% of patients with G469A mutation, representing a prominent potential resistance mechanism against EGFR inhibitors. Structural modeling suggested BRAF G469V and G469A as binding partners of gefitinib. CONCLUSION Our large-scale analysis characterized the prevalence and mutational landscape of BRAF G469V/A-mutant NSCLC and proposed gefitinib as a potential option, providing a basis for further investigations on treating BRAF-mutated NSCLC.
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Affiliation(s)
- Han Wu
- Department of Surgical Oncology, Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jian Feng
- Department of Thoracic surgery, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiChina
| | - Shun Lu
- Department of Medical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
| | - Jia Huang
- Department of Surgical Oncology, Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Xiang Y, Liu X, Wang Y, Zheng D, Meng Q, Jiang L, Yang S, Zhang S, Zhang X, Liu Y, Wang B. Mechanisms of resistance to targeted therapy and immunotherapy in non-small cell lung cancer: promising strategies to overcoming challenges. Front Immunol 2024; 15:1366260. [PMID: 38655260 PMCID: PMC11035781 DOI: 10.3389/fimmu.2024.1366260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/18/2024] [Indexed: 04/26/2024] Open
Abstract
Resistance to targeted therapy and immunotherapy in non-small cell lung cancer (NSCLC) is a significant challenge in the treatment of this disease. The mechanisms of resistance are multifactorial and include molecular target alterations and activation of alternative pathways, tumor heterogeneity and tumor microenvironment change, immune evasion, and immunosuppression. Promising strategies for overcoming resistance include the development of combination therapies, understanding the resistance mechanisms to better use novel drug targets, the identification of biomarkers, the modulation of the tumor microenvironment and so on. Ongoing research into the mechanisms of resistance and the development of new therapeutic approaches hold great promise for improving outcomes for patients with NSCLC. Here, we summarize diverse mechanisms driving resistance to targeted therapy and immunotherapy in NSCLC and the latest potential and promising strategies to overcome the resistance to help patients who suffer from NSCLC.
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Affiliation(s)
- Yuchu Xiang
- West China Hospital of Sichuan University, Sichuan University, Chengdu, China
| | - Xudong Liu
- Institute of Medical Microbiology and Hygiene, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yifan Wang
- State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai, China
| | - Dawei Zheng
- The College of Life Science, Sichuan University, Chengdu, China
| | - Qiuxing Meng
- Department of Laboratory Medicine, Liuzhou People’s Hospital, Liuzhou, China
- Guangxi Health Commission Key Laboratory of Clinical Biotechnology (Liuzhou People’s Hospital), Liuzhou, China
| | - Lingling Jiang
- Guangxi Medical University Cancer Hospital, Nanning, China
| | - Sha Yang
- Institute of Pharmaceutical Science, China Pharmaceutical University, Nanjing, China
| | - Sijia Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Zhang
- Zhongshan Hospital of Fudan University, Xiamen, Fujian, China
| | - Yan Liu
- Department of Organ Transplantation, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China
| | - Bo Wang
- Institute of Medical Microbiology and Hygiene, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Urology, Guizhou Provincial People’s Hospital, Guiyang, Guizhou, China
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4
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Xu H, Jiang L, Qin L, Shi P, Xu P, Liu C. Single-cell transcriptome analysis reveals intratumoral heterogeneity in lung adenocarcinoma. ENVIRONMENTAL TOXICOLOGY 2024; 39:1847-1857. [PMID: 38133212 DOI: 10.1002/tox.24048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/05/2023] [Accepted: 11/09/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION Lung adenocarcinoma (LUAD) is a major health concern worldwide. Single-cell RNA-sequencing (scRNA-seq) provides a valuable platform for exploring the intratumoral heterogeneity in LUAD and holds great potential for facilitating the development and application of personalized therapeutic approaches. METHODS The TCGA-LUAD (n = 503), GSE68465 (n = 442), GSE72094 (n = 398), and GSE26939 (n = 115) datasets were retrieved for prognostic assessment. Subgroup analysis was performed for the epithelial cells, endothelial cells, immune cells, and fibroblasts, and the transcription factors and tumor-related pathways enriched in each subgroup were analyzed using PROGENy and DoRothEA package. The InferCNV software was used to calculate the copy number variations (CNVs) in tumor cell subgroups with normal epithelial cells as the reference. The association between the annotated cell types and survival was analyzed using the Scissor software. RESULTS We identified eight major cell types in LUAD, namely epithelial cells, NK cells, T and B cells, endothelial cells, mast cells, myeloid cells, and fibroblasts, of which the epithelial cells and B cells showed a marked increase in the tumor samples. In addition, we also detected an intense signal transduction network from the cancer-associated fibroblasts (CAFs) to malignant cells, mainly involving the DCN/MET, COLA1/DDR1, COL1A1/SDC1, and COL1A2/SDC1 pathways. The tumor differentiation trajectory consisted of state 1 and state 2, which were enriched in HIF1A, and state 4. Furthermore, only a few B cells originated from the normal tissue, suggesting significant recruitment and infiltration of B cells in LUAD. Based on differentially upregulated genes in the cells positively and negatively associated with survival, we established a prognostic model that showed satisfactory predictive performance in three different cohorts. States 3 and 2 of epithelial cells included the majority of cells with KRAS mutation, whereas state 2 showed high frequency of EGFR mutations. CONCLUSION We analyzed intra-tumor heterogeneity of LUAD at the single-cell level and developed a prognostic index that was highly effective across multiple cohorts.
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Affiliation(s)
- Hong Xu
- Department of Thoracic and Cardiovascular Surgery, Yiling Hospital, China Three Gorges University, Yichang, China
| | - Lin Jiang
- Department of Gastroenterology, Yiling Hospital, China Three Gorges University, Yichang, China
| | - Lingshan Qin
- Department of clinical medicne, China medical university, Shenyang, China
| | - Ping Shi
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Shenyang, China
| | - Ping Xu
- Department of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China, Guangzhou, China
| | - Changyu Liu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, Guangzhou, China
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5
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Meira DD, de Castro e Caetano MC, Casotti MC, Zetum ASS, Gonçalves AFM, Moreira AR, de Oliveira AH, Pesente F, Santana GM, de Almeida Duque D, Pereira GSC, de Castro GDSC, Pavan IP, Chagas JPS, Bourguignon JHB, de Oliveira JR, Barbosa KRM, Altoé LSC, Louro LS, Merigueti LP, Alves LNR, Machado MRR, Roque MLRO, Prates PS, de Paula Segáua SH, dos Santos Uchiya T, Louro TES, Daleprane VE, Guaitolini YM, Vicente CR, dos Reis Trabach RS, de Araújo BC, dos Santos EDVW, de Paula F, Lopes TJS, de Carvalho EF, Louro ID. Prognostic Factors and Markers in Non-Small Cell Lung Cancer: Recent Progress and Future Challenges. Genes (Basel) 2023; 14:1906. [PMID: 37895255 PMCID: PMC10606762 DOI: 10.3390/genes14101906] [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: 09/01/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/29/2023] Open
Abstract
Lung cancer is a highly aggressive neoplasm and, despite the development of recent therapies, tumor progression and recurrence following the initial response remains unsolved. Several questions remain unanswered about non-small cell lung cancer (NSCLC): (1) Which patients will actually benefit from therapy? (2) What are the predictive factors of response to MAbs and TKIs? (3) What are the best combination strategies with conventional treatments or new antineoplastic drugs? To answer these questions, an integrative literature review was carried out, searching articles in PUBMED, NCBI-PMC, Google Academic, and others. Here, we will examine the molecular genetics of lung cancer, emphasizing NSCLC, and delineate the primary categories of inhibitors based on their molecular targets, alongside the main treatment alternatives depending on the type of acquired resistance. We highlighted new therapies based on epigenetic information and a single-cell approach as a potential source of new biomarkers. The current and future of NSCLC management hinges upon genotyping correct prognostic markers, as well as on the evolution of precision medicine, which guarantees a tailored drug combination with precise targeting.
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Affiliation(s)
- Débora Dummer Meira
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Maria Clara de Castro e Caetano
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Matheus Correia Casotti
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Aléxia Stefani Siqueira Zetum
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - André Felipe Monteiro Gonçalves
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - André Rodrigues Moreira
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Augusto Henrique de Oliveira
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Fellipe Pesente
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Gabriel Mendonça Santana
- Centro de Ciências da Saúde, Curso de Medicina, Universidade Federal do Espírito Santo (UFES), Vitória 29090-040, Brazil
| | - Daniel de Almeida Duque
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Gierleson Santos Cangussu Pereira
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Giulia de Souza Cupertino de Castro
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Isabele Pagani Pavan
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - João Pedro Sarcinelli Chagas
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - José Henrique Borges Bourguignon
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Juliana Ribeiro de Oliveira
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Karen Ruth Michio Barbosa
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Lorena Souza Castro Altoé
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Luana Santos Louro
- Centro de Ciências da Saúde, Curso de Medicina, Universidade Federal do Espírito Santo (UFES), Vitória 29090-040, Brazil
| | - Luiza Poppe Merigueti
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Lyvia Neves Rebello Alves
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Marlon Ramos Rosado Machado
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Maria Luísa Rodrigues Oliveira Roque
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Pedro Santana Prates
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Sayuri Honorio de Paula Segáua
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Taissa dos Santos Uchiya
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Thomas Erik Santos Louro
- Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória (EMESCAM), Curso de Medicina, Vitória 29027-502, Brazil
| | - Vinicius Eduardo Daleprane
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Yasmin Moreto Guaitolini
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Creuza Rachel Vicente
- Departamento de Medicina Social, Universidade Federal do Espírito Santo, Vitória 29090-040, Brazil
| | - Raquel Silva dos Reis Trabach
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Bruno Cancian de Araújo
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Eldamária de Vargas Wolfgramm dos Santos
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Flávia de Paula
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
| | - Tiago José S. Lopes
- Department of Reproductive Biology, National Center for Child Health and Development Research Institute, Tokyo 157-8535, Japan
| | - Elizeu Fagundes de Carvalho
- Instituto de Biologia Roberto Alcântara Gomes (IBRAG), Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Brazil
| | - Iúri Drumond Louro
- Núcleo de Genética Humana e Molecular, Centro de Ciências Humanas e Naturais, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (UFES), Vitória 29075-910, Brazil (M.C.C.)
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6
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Hilhorst R, van den Berg A, Boender P, van Wezel T, Kievits T, de Wijn R, Ruijtenbeek R, Corver WE, Morreau H. Differentiating Benign from Malignant Thyroid Tumors by Kinase Activity Profiling and Dabrafenib BRAF V600E Targeting. Cancers (Basel) 2023; 15:4477. [PMID: 37760447 PMCID: PMC10527361 DOI: 10.3390/cancers15184477] [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: 05/22/2023] [Revised: 08/28/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Differentiated non-medullary thyroid cancer (NMTC) can be effectively treated by surgery followed by radioactive iodide therapy. However, a small subset of patients shows recurrence due to a loss of iodide transport, a phenotype frequently associated with BRAF V600E mutations. In theory, this should enable the use of existing targeted therapies specifically designed for BRAF V600E mutations. However, in practice, generic or specific drugs aimed at molecular targets identified by next generation sequencing (NGS) are not always beneficial. Detailed kinase profiling may provide additional information to help improve therapy success rates. In this study, we therefore investigated whether serine/threonine kinase (STK) activity profiling can accurately classify benign thyroid lesions and NMTC. We also determined whether dabrafenib (BRAF V600E-specific inhibitor), as well as sorafenib and regorafenib (RAF inhibitors), can differentiate BRAF V600E from non-BRAF V600E thyroid tumors. Using 21 benign and 34 malignant frozen thyroid tumor samples, we analyzed serine/threonine kinase activity using PamChip®peptide microarrays. An STK kinase activity classifier successfully differentiated malignant (26/34; 76%) from benign tumors (16/21; 76%). Of the kinases analyzed, PKC (theta) and PKD1 in particular, showed differential activity in benign and malignant tumors, while oncocytic neoplasia or Graves' disease contributed to erroneous classifications. Ex vivo BRAF V600E-specific dabrafenib kinase inhibition identified 6/92 analyzed peptides, capable of differentiating BRAF V600E-mutant from non-BRAF V600E papillary thyroid cancers (PTCs), an effect not seen with the generic inhibitors sorafenib and regorafenib. In conclusion, STK activity profiling differentiates benign from malignant thyroid tumors and generates unbiased hypotheses regarding differentially active kinases. This approach can serve as a model to select novel kinase inhibitors based on tissue analysis of recurrent thyroid and other cancers.
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Affiliation(s)
- Riet Hilhorst
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | | | - Piet Boender
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Tom van Wezel
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
| | - Tim Kievits
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Rik de Wijn
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Rob Ruijtenbeek
- PamGene International BV, 5211 HH ‘s-Hertogenbosch, The Netherlands; (R.H.)
| | - Willem E. Corver
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
| | - Hans Morreau
- Leiden University Medical Center, 2333 ZA Leiden, The Netherlands (H.M.)
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Singh A, Sonawane P, Kumar A, Singh H, Naumovich V, Pathak P, Grishina M, Khalilullah H, Jaremko M, Emwas AH, Verma A, Kumar P. Challenges and Opportunities in the Crusade of BRAF Inhibitors: From 2002 to 2022. ACS OMEGA 2023; 8:27819-27844. [PMID: 37576670 PMCID: PMC10413849 DOI: 10.1021/acsomega.3c00332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/27/2023] [Indexed: 08/15/2023]
Abstract
Serine/threonine-protein kinase B-Raf (BRAF; RAF = rapidly accelerated fibrosarcoma) plays an important role in the mitogen-activated protein kinase (MAPK) signaling cascade. Somatic mutations in the BRAF gene were first discovered in 2002 by Davies et al., which was a major breakthrough in cancer research. Subsequently, three different classes of BRAF mutants have been discovered. This class includes class I monomeric mutants (BRAFV600), class II BRAF homodimer mutants (non-V600), and class III BRAF heterodimers (non-V600). Cancers caused by these include melanoma, thyroid cancer, ovarian cancer, colorectal cancer, nonsmall cell lung cancer, and others. In this study, we have highlighted the major binding pockets in BRAF protein, their active and inactive conformations with inhibitors, and BRAF dimerization and its importance in paradoxical activation and BRAF mutation. We have discussed the first-, second-, and third-generation drugs approved by the Food and Drug Administration and drugs under clinical trials with all four different binding approaches with DFG-IN/OUT and αC-IN/OUT for BRAF protein. We have investigated particular aspects and difficulties with all three generations of inhibitors. Finally, this study has also covered recent developments in synthetic BRAF inhibitors (from their discovery in 2002 to 2022), their unique properties, and importance in inhibiting BRAF mutants.
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Affiliation(s)
- Ankit
Kumar Singh
- Department
of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda 151401, India
| | - Pankaj Sonawane
- Department
of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda 151401, India
| | - Adarsh Kumar
- Department
of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda 151401, India
| | - Harshwardhan Singh
- Department
of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda 151401, India
| | - Vladislav Naumovich
- Laboratory
of Computational Modeling of Drugs, Higher Medical and Biological
School, South Ural State University, Chelyabinsk 454008, Russia
| | - Prateek Pathak
- Laboratory
of Computational Modeling of Drugs, Higher Medical and Biological
School, South Ural State University, Chelyabinsk 454008, Russia
| | - Maria Grishina
- Laboratory
of Computational Modeling of Drugs, Higher Medical and Biological
School, South Ural State University, Chelyabinsk 454008, Russia
| | - Habibullah Khalilullah
- Department
of Pharmaceutical Chemistry and Pharmacognosy, Unaizah College of
Pharmacy, Qassim University, Unayzah 51911, Saudi Arabia
| | - Mariusz Jaremko
- Smart-Health
Initiative and Red Sea Research Center, Division of Biological and
Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
| | - Abdul-Hamid Emwas
- Core
Laboratories, King Abdullah University of
Science and Technology, Thuwal 23955-6900, Saudi
Arabia
| | - Amita Verma
- Bioorganic
and Medicinal Chemistry Research Laboratory, Department of Pharmaceutical
Sciences, Sam Higginbottom University of
Agriculture, Technology and Sciences, Prayagraj 211007, India
| | - Pradeep Kumar
- Department
of Pharmaceutical Sciences and Natural Products, Central University of Punjab, Ghudda, Bathinda 151401, India
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8
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He H, Chen R, Wang Z, Qing L, Zhang Y, Liu Y, Pan W, Fang H, Zhang S. Design of Orally-bioavailable Tetra-cyclic phthalazine SOS1 inhibitors with high selectivity against EGFR. Bioorg Chem 2023; 136:106536. [PMID: 37054529 DOI: 10.1016/j.bioorg.2023.106536] [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: 01/16/2023] [Revised: 02/28/2023] [Accepted: 04/07/2023] [Indexed: 04/15/2023]
Abstract
KRAS mutations (G12C, G12D, etc.) are implicated in the oncogenesis and progression of many deadliest cancers. Son of sevenless homolog 1 (SOS1) is a crucial regulator of KRAS to modulate KRAS from inactive to active states. We previously discovered tetra-cyclic quinazolines as an improved scaffold for inhibiting SOS1-KRAS interaction. In this work, we report the design of tetra-cyclic phthalazine derivatives for selectively inhibiting SOS1 against EGFR. The lead compound 6c displayed remarkable activity to inhibit the proliferation of KRAS(G12C)-mutant pancreas cells. 6c showed a favorable pharmacokinetic profile in vivo, with a bioavailability of 65.8% and exhibited potent tumor suppression in pancreas tumor xenograft models. These intriguing results suggested that 6c has the potential to be developed as a drug candidate for KRAS-driven tumors.
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Affiliation(s)
- Huan He
- School of Pharmaceutical Sciences, Guizhou University, Guiyang 550025, PR China; Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China; Wuhan Yuxiang Pharmaceutical Technology Co., Ltd., Wuhan 430200, PR China
| | - Ruiqi Chen
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China
| | - Ziwei Wang
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China
| | - Luolong Qing
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China
| | - Yu Zhang
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China
| | - Yi Liu
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China; School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, PR China; Hubei Key Laboratory of Radiation Chemistry and Functional Materials, Hubei University of Science and Technology, Xianning 437100, PR China
| | - Weidong Pan
- School of Pharmaceutical Sciences, Guizhou University, Guiyang 550025, PR China.
| | - Huaxiang Fang
- Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China.
| | - Silong Zhang
- School of Pharmaceutical Sciences, Guizhou University, Guiyang 550025, PR China; Key Laboratory of Coal Conversion and New Carbon Materials of Hubei Province, College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, PR China; Wuhan Yuxiang Pharmaceutical Technology Co., Ltd., Wuhan 430200, PR China.
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Siegmund SE, Mehra R, Acosta AM. An update on diagnostic tissue-based biomarkers in testicular tumors. Hum Pathol 2023; 133:32-55. [PMID: 35932825 DOI: 10.1016/j.humpath.2022.07.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 11/04/2022]
Abstract
Testicular cancer is rare overall but comprises the most common solid malignancy diagnosed in young men aged ∼20-40 years. Most testicular neoplasms generally fall into 2 broad categories: germ cell tumors (GCTs; ∼95%) and sex cord-stromal tumors (SCSTs ∼5%). Given the relative rarity of these tumors, diagnostic biomarkers are highly relevant for their diagnosis. Over the past several decades, diagnostic biomarkers have improved dramatically through targeted immunohistochemical and molecular characterization. Despite these recent advances, most markers are not perfectly sensitive or entirely specific. Therefore, they need to be used in combination and interpreted in context. In this review, we summarize tissue-based biomarkers relevant to the pathologist, with a focus on practical diagnostic issues that relate to testicular GCT and SCST.
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Affiliation(s)
- Stephanie E Siegmund
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Rohit Mehra
- Department of Pathology and Michigan Center for Translational Pathology, University of Michigan Hospital and Health Systems, 1500, East Medical Center Drive, Ann Arbor, MI 48109, USA.
| | - Andres M Acosta
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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10
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Zhou Y, Hu Z. Anoikis-related genes combined with single cell sequencing: Insights into model specification of lung adenocarcinoma and applicability for prognosis and therapy. Front Cell Dev Biol 2023; 11:1125782. [PMID: 37169018 PMCID: PMC10165631 DOI: 10.3389/fcell.2023.1125782] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/31/2023] [Indexed: 05/13/2023] Open
Abstract
Background: Anoikis has therapeutic potential against different malignancies including lung adenocarcinoma. This study used anoikis and bioinformatics to construct a prognostic model for lung adenocarcinoma and explore new therapeutic strategies. Methods: Several bioinformatic algorithms (co-expression analysis, univariate Cox analysis, multivariate Cox analysis, and cross-validation) were used to screen anoikis-related genes (ARGs) to construct a risk model. Lung adenocarcinoma patients were divided into training and testing groups at a ratio of 1:1. The prognostic model was validated by risk score comparison between high- and low-risk groups using receiver operating characteristic curve (ROC), nomograms, independent prognostic analysis and principal component analysis. In addition, two anoikis-related genes patterns were classified utilizing consensus clustering method and were compared with each other in survival time, immune microenvironment, and regulation in pathway. Single cell sequencing was applied to analyze anoikis-related genes constructed the model. Results: This study demonstrated the feasibility of the model based on seven anoikis-related genes, as well as identifying axitinib, nibtinib and sorafenib as potential therapeutic strategies for LUAD. Risk score based on this model had could be used as an independent prognostic factor for lung adenocarcinoma (HR > 1; p < 0.001) and had the highest accuracy to predict survival compared with the clinical characteristics. Single cell sequencing analysis discovered Keratin 14 (KRT14, one of the seven anoikis-related genes) was mainly expressed in malignant cells in various cancers. Conclusion: We identified seven anoikis-related genes and constructed an accurate risk model based on bioinformatics analysis that can be used for prognostic prediction and for the design of therapeutic strategies in clinical practice.
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Zheng J, Cui T, Li T. Observation on the clinical efficacy and side effects of EGFR-TKI ± chemotherapy in the treatment of EGFR mutation-positive advanced lung adenocarcinoma. EUR J INFLAMM 2022. [DOI: 10.1177/1721727x221145447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Objective To assess the clinical efficacy and side effects of EGFR-TKI with or without chemotherapy in the treatment of EGFR mutation-positive advanced lung adenocarcinoma. Methods A total of 103 IIIB or IV EGFR mutation-positive lung adenocarcinoma patients admitted to the oncology department of Fujian Provincial Hospital from January 2017 to October 2020 were selected. According to genetic mutation status, patients were divided into the following groups: 19del alone, 19del combined with TP53 or other co-mutations, L858R mutation alone, and L858R mutation combined with TP53 or other co-mutations. Targeted drugs or targeted drugs combined with chemotherapy were respectively administered in the four groups. In patients with simple 19 deletion, only targeted drugs with no combined therapy were applied, resulting in seven total groups. The difference between short-term treatment and long-term treatment effects and the occurrence of adverse reactions was calculated and compared. Results There was no statistical significance of difference in the incidence of adverse reactions in seven groups ( p > 0.05). The short-term disease control rate of the combination group was higher than the targeted drug group with the difference yielding statistical significance ( p < 0.001). The short-term objective response rate of the combination group was higher than the targeted drug group, also yielding statistical significance ( p < 0.001). By October 2020, the median progression-free survival (PFS) was 16 months in the EGFR-TKI-targeted combined with chemotherapy group and 10 months in the single-drug EGFR-TKI group, and the PFS time was longer in the combination group than in the single targeted drug group, the difference being statistically significant ( p = 0.001). Conclusions In the treatment of advanced lung adenocarcinoma patients with EGFR-gene sensitive mutations, compared with single EGFR-TKI-targeted therapy, EGFR-TKI-targeted drug combined chemotherapy can control the disease progression more effectively, and does not increase adverse reactions.
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Affiliation(s)
- Jianping Zheng
- Department of Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China
| | - Tongjian Cui
- Department of Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China
| | - Ting Li
- Department of Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China
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