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Chu D, Chen L, Li W, Zhang H. An exosomes-related lncRNA prognostic model correlates with the immune microenvironment and therapy response in lung adenocarcinoma. Clin Exp Med 2024; 24:104. [PMID: 38761234 PMCID: PMC11102376 DOI: 10.1007/s10238-024-01319-x] [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: 01/24/2024] [Accepted: 02/29/2024] [Indexed: 05/20/2024]
Abstract
Recent research highlights the significance of exosomes and long noncoding RNAs (lncRNAs) in cancer progression and drug resistance, but their role in lung adenocarcinoma (LUAD) is not fully understood. We analyzed 121 exosome-related (ER) mRNAs from the ExoBCD database, along with mRNA and lncRNA expression profiles of TCGA-LUAD using "DESeq2", "survival," "ConsensusClusterPlus," "GSVA," "estimate," "glmnet," "clusterProfiler," "rms," and "pRRophetic" R packages. This comprehensive approach included univariate cox regression, unsupervised consensus clustering, GSEA, functional enrichment analysis, and prognostic model construction. Our study identified 134 differentially expressed ER-lncRNAs, with 19 linked to LUAD prognosis. These ER-lncRNAs delineated two patient subtypes, one with poorer outcomes. Additionally, 286 differentially expressed genes were related to these ER-lncRNAs, 261 of which also correlated with LUAD prognosis. We constructed an ER-lncRNA-related prognostic model and calculated an ER-lncRNA-related risk score (ERS), revealing that a higher ERS correlates with poor overall survival in both the Meta cohort and two validation cohorts. The ERS potentially serves as an independent prognostic factor, and the prognostic model demonstrates superior predictive power. Notably, significant differences in the immune landscape were observed between the high- and low-ERS groups. Drug sensitivity analysis indicated varying responses to common chemotherapy drugs based on ERS stratification, with the high-ERS group showing greater sensitivity, except to rapamycin and erlotinib. Experimental validation confirmed that thymidine kinase 1 enhances lung cancer invasion, metastasis, and cell cycle progression. Our study pioneers an ER-lncRNA-related prognostic model for LUAD, proposing that ERS-based risk stratification could inform personalized treatment strategies to improve patient outcomes.
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Affiliation(s)
- Daifang Chu
- Department of Respiratory and Critical Care Medicine, Tangdu Hospital, Air Force Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China
| | - Liulin Chen
- Department of Respiratory and Critical Care Medicine, Tangdu Hospital, Air Force Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China
| | - Wangping Li
- Department of Respiratory and Critical Care Medicine, Tangdu Hospital, Air Force Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
| | - Haitao Zhang
- Department of Respiratory and Critical Care Medicine, Tangdu Hospital, Air Force Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
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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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3
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Tertiary Lymphoid Structures Are Associated with a Favorable Prognosis in High-Grade Serous Ovarian Cancer Patients. Reprod Sci 2023:10.1007/s43032-023-01188-x. [PMID: 36759495 DOI: 10.1007/s43032-023-01188-x] [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: 10/28/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023]
Abstract
There was accumulating evidence indicating that tertiary lymphoid structures (TLSs) were strongly associated with improved survival and clinical outcome in several solid tumors. In this study, we intended to assess the presence of TLSs and their potential clinical significance in high-grade serous ovarian cancer (HGSOC). TCGA (The Cancer Genome Atlas) cohort included RNA-seq data of 376 HGSOC patients, of which 74 patients included available hematoxylin-eosin (H&E) sections; GEO (Gene Expression Omnibus) cohort, GSE140082, included microarray data of 212 HGSOC patients. TLSs were counted by pathological sections, and the relative abundance of TLSs was assessed by the unsupervised consensus clustering of 12-chemokine transcriptome signatures. The potential associations between TLSs and clinical prognosis, tumor microenvironment (TME), and immunotherapy response of HGSOC were further performed based on transcriptome data. In the H&E sections of HGSOC, TLSs were predominantly located in the stroma and invasive margin of the tumor. Pathological counting results suggested that the expression of 12 chemokines was significantly higher in samples abundant with TLSs than that in the lack of TLSs. Consensus clustering of both TCGA and GEO cohorts divided HGSOC patients into two clusters with different TLSs abundance: low- and high-TLSs. Based on transcriptome analysis, the high-TLS cluster was characterized by better clinical prognosis, a higher degree of immune infiltration, more biological pathways, higher tumor mutational burden score, and higher expression of immune checkpoints. In conclusion, TLSs strongly correlated with the immune-responsive microenvironment and remained a favorable prognostic factor independent of other clinical characteristics in HGSOC. The presence of TLSs was also associated with a potentially favorable response to immune checkpoint blockade (ICB) therapy in HGSOC.
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Chu C, Davis CM, Lan X, Hienz RD, Jablonska A, Thomas AM, Velarde E, Li S, Janowski M, Kai M, Walczak P. Neuroinflammation After Stereotactic Radiosurgery-Induced Brain Tumor Disintegration Is Linked to Persistent Cognitive Decline in a Mouse Model of Metastatic Disease. Int J Radiat Oncol Biol Phys 2020; 108:745-757. [PMID: 32470502 PMCID: PMC8758056 DOI: 10.1016/j.ijrobp.2020.05.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/20/2020] [Accepted: 05/18/2020] [Indexed: 11/23/2022]
Abstract
PURPOSE Improved efficacy of anticancer therapy and a growing pool of survivors give rise to a question about their quality of life and return to premorbid status. Radiation is effective in brain metastasis eradication, although the optimal approach and long-term effects on brain function are largely unknown. We studied the effects of radiosurgery on brain function. METHODS AND MATERIALS Adult C57BL/6J mice with or without brain metastases (rat 9L gliosarcoma) were treated with cone beam single-arc stereotactic radiosurgery (SRS; 40 Gy). Tumor growth was monitored using bioluminescence, whereas longitudinal magnetic resonance imaging, behavioral studies, and histologic analysis were performed to evaluate brain response to the treatment for up to 18 months. RESULTS Stereotactic radiosurgery (SRS) resulted in 9L metastases eradication within 4 weeks with subsequent long-term survival of all treated animals, whereas all nontreated animals succumbed to the brain tumor. Behavioral impairment, as measured with a recognition memory test, was observed earlier in mice subjected to radiosurgery of tumors (6 weeks) in comparison to SRS of healthy brain tissue (10 weeks). Notably, the deficit resolved by 18 weeks only in mice not bearing a tumor, whereas tumor eradication was complicated by the persistent cognitive deficits. In addition, the results of magnetic resonance imaging were unremarkable in both groups, and histopathology revealed changes. SRS-induced tumor eradication triggered long-lasting and exacerbated neuroinflammatory response. No demyelination, neuronal loss, or hemorrhage was detected in any of the groups. CONCLUSIONS Tumor disintegration by SRS leads to exacerbated neuroinflammation and persistent cognitive deficits; therefore, methods aiming at reducing inflammation after tumor eradication or other therapeutic methods should be sought.
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Affiliation(s)
- Chengyan Chu
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Catherine M Davis
- Division of Behavioral Biology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Xiaoyan Lan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert D Hienz
- Division of Behavioral Biology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Anna Jablonska
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Aline M Thomas
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Esteban Velarde
- Department of Radiation Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland
| | - Shen Li
- Department of Neurology, Dalian Municipal Central Hospital, Dalian, Liaoning, China
| | - Miroslaw Janowski
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Mihoko Kai
- Department of Radiation Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland.
| | - Piotr Walczak
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Fonti R, Pellegrino S, Mainolfi CG, Matano E, Del Vecchio S. Brain Metastases Unresponsive to Immunotherapy Detected by 18F-FDG-PET/CT in a Patient with Melanoma. Diagnostics (Basel) 2020; 10:diagnostics10060410. [PMID: 32560298 PMCID: PMC7345060 DOI: 10.3390/diagnostics10060410] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/10/2020] [Accepted: 06/15/2020] [Indexed: 02/07/2023] Open
Abstract
Recently, newer therapies such as immunotherapy have been increasingly used in the treatment of several tumors, including advanced melanoma. In particular, several studies showed that the combination of ipilimumab, an anti-Cytotoxic T-lymphocyte Associated Protein 4 (CTLA-4) monoclonal antibody and nivolumab, an anti-Programmed Death 1 (PD-1) monoclonal antibody, leads to improved survival in patients with metastatic melanoma. Despite that, immunotherapeutic agents may not reach therapeutic concentration in the brain due to the blood–brain barrier. We report the case of a 50-year-old man with advanced melanoma who underwent whole-body 18F-FDG-PET/CT before and after treatment with immunotherapy showing resistant brain metastases confirmed by subsequent MRI of the brain. Moreover, 18F-FDG-PET/CT was able to detect an immune-related adverse event such as enterocolitis that contributed to the worsening of patient conditions. This case shows how a whole-body methodology such as 18F-FDG-PET/CT can be useful in identifying melanoma cancer patients unresponsive to immunotherapy that may benefit from traditional palliative therapy in the effort to improve their quality of life.
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Affiliation(s)
- Rosa Fonti
- Institute of Biostructures and Bioimages, National Research Council, Via Tommaso De Amicis 95, 80145 Naples, Italy
- Correspondence: ; Tel.: +39-081-220-3432; Fax: +39-081-229-6117
| | - Sara Pellegrino
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (S.P.); (C.G.M.); (S.D.V.)
| | - Ciro Gabriele Mainolfi
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (S.P.); (C.G.M.); (S.D.V.)
| | - Elide Matano
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy;
| | - Silvana Del Vecchio
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (S.P.); (C.G.M.); (S.D.V.)
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Bi KW, Wei XG, Qin XX, Li B. BTK Has Potential to Be a Prognostic Factor for Lung Adenocarcinoma and an Indicator for Tumor Microenvironment Remodeling: A Study Based on TCGA Data Mining. Front Oncol 2020; 10:424. [PMID: 32351880 PMCID: PMC7175916 DOI: 10.3389/fonc.2020.00424] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 03/10/2020] [Indexed: 01/25/2023] Open
Abstract
Tumor microenvironment (TME) plays a crucial role in the initiation and progression of lung adenocarcinoma (LUAD); however, there is still a challenge in understanding the dynamic modulation of the immune and stromal components in TME. In the presented study, we applied CIBERSORT and ESTIMATE computational methods to calculate the proportion of tumor-infiltrating immune cell (TIC) and the amount of immune and stromal components in 551 LUAD cases from The Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) were analyzed by COX regression analysis and protein–protein interaction (PPI) network construction. Then, Bruton tyrosine kinase (BTK) was determined as a predictive factor by the intersection analysis of univariate COX and PPI. Further analysis revealed that BTK expression was negatively correlated with the clinical pathologic characteristics (clinical stage, distant metastasis) and positively correlated with the survival of LUAD patients. Gene Set Enrichment Analysis (GSEA) showed that the genes in the high-expression BTK group were mainly enriched in immune-related activities. In the low-expression BTK group, the genes were enriched in metabolic pathways. CIBERSORT analysis for the proportion of TICs revealed that B-cell memory and CD8+ T cells were positively correlated with BTK expression, suggesting that BTK might be responsible for the preservation of immune-dominant status for TME. Thus, the levels of BTK might be useful for outlining the prognosis of LUAD patients and especially be a clue that the status of TME transition from immune-dominant to metabolic activity, which offered an extra insight for therapeutics of LUAD.
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Affiliation(s)
- Ke-Wei Bi
- Key Laboratory of Cell Biology, Department of Developmental Cell Biology, Ministry of Public Health and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China
| | - Xu-Ge Wei
- Key Laboratory of Cell Biology, Department of Developmental Cell Biology, Ministry of Public Health and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China
| | - Xiao-Xue Qin
- Key Laboratory of Cell Biology, Department of Developmental Cell Biology, Ministry of Public Health and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China
| | - Bo Li
- Key Laboratory of Cell Biology, Department of Developmental Cell Biology, Ministry of Public Health and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China
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Sallabanda M, García-Berrocal MI, Romero J, García-Jarabo V, Expósito MJ, Rincón DF, Zapata I, Magallón MR. Brain metastases treated with radiosurgery or hypofractionated stereotactic radiotherapy: outcomes and predictors of survival. Clin Transl Oncol 2020; 22:1809-1817. [PMID: 32124243 DOI: 10.1007/s12094-020-02321-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 02/08/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION To assess treatment outcome and prognostic factors associated with prolonged survival in patients with brain metastases (BM) treated with stereotactic radiosurgery (SRS) or hypofractionated stereotactic radiotherapy (HFSRT). METHODS/PATIENTS This study retrospectively reviewed 200 patients with 324 BM treated with one fraction (15-21 Gy) or 5-10 fractions (25-40 Gy) between January 2010 and August 2016. 26.5% of patients received whole brain radiotherapy (WBRT) and 25% initial surgery. Demographics, prognostic scales, systemic and local controls, patterns of relapse and rescue, toxicity, and cause of death were analyzed. A stratified analysis by primary tumor was done. RESULTS Median overall survival (OS) was 8 months from SRS/HFSRT. Breast cancer patients had a median OS of 17 months, followed by renal (11 months), lung (8 months), colorectal (5 months), and melanoma (4 months). The univariate analysis showed improved OS in females (p 0.004), RPA I-II (p < 0.001) initial surgery (p < 0.001), absence of extracranial disease (p 0.023), and good disease control (p 0.002). There were no differences in OS or local control between SRS and HFSRT or in patients receiving WBRT. Among 44% of brain recurrences, 11% were in field. 174 patients died, 10% from confirmed intracranial progression. CONCLUSIONS SRS and HSFRT are equally effective and safe for the treatment of BM, with no exceptions among different primary tumors. Disease control, surgery, age, and prognostic scales correlated with OS. However, the lack of survival benefit regarding WBRT might become logical evidence for its omission in a subset of patients.
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Affiliation(s)
- M Sallabanda
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain.
| | - M I García-Berrocal
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - J Romero
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - V García-Jarabo
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - M J Expósito
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - D F Rincón
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - I Zapata
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
| | - M R Magallón
- Radiation Oncology Department, Hospital Puerta de Hierro Majadahonda, Calle Manuel de Falla N.1, Majadahonda, CP. 28222, Madrid, Spain
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