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Zhang Y, Sun D, Han W, Yang Z, Lu Y, Zhang X, Wang Y, Zhang C, Liu N, Hou H. SMARCA4 mutations and expression in lung adenocarcinoma: prognostic significance and impact on the immunotherapy response. FEBS Open Bio 2024. [PMID: 39322625 DOI: 10.1002/2211-5463.13899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 08/20/2024] [Accepted: 09/10/2024] [Indexed: 09/27/2024] Open
Abstract
The switch/sucrose non-fermenting (SWI/SNF) complex family includes important chromatin-remodeling factors that are frequently mutated in lung adenocarcinoma (LUAD). However, the role of one family member, SMARCA4, in LUAD prognosis and immunotherapy sensitivity remains unclear. In the present study, 6745 LUAD samples from the cBioPortal database were used to analyze the relationships between SMARCA4 mutations and patient prognoses and clinical characteristics. Additionally, we examined the correlation between SMARCA4 mutations and prognosis in patients treated with immunotherapy using two immune-related datasets. SMARCA4 mutations and low expression were associated with shorter survival, and mutations were associated with a high tumor mutational burden and high microsatellite instability. SMARCA4 mutations were accompanied by KRAS, KEAP1, TP53 and STK11 mutations. No significant difference was observed in the immunotherapy response between patients with and without SMARCA4 mutations. When KRAS or STK11 mutations were present, immunotherapy effectiveness was poorer; however, when both SMARCA4 and TP53 mutations were present, immunotherapy was more effective. Furthermore, low SMARCA4 expression predicted a higher immunophenoscore, and SMARCA4 expression was correlated with certain immune microenvironment features. Taken together, our results suggest that SMARCA4 mutations and low expression might be associated with poor LUAD prognosis. Additionally, immunotherapy efficacy in patients with SMARCA4 mutations depended on the co-mutant genes. Thus, SMARCA4 could be an important factor to be considered for LUAD diagnosis and treatment.
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Affiliation(s)
- Yuming Zhang
- Precision Medicine Center of Oncology, The Affiliated Hospital of Qingdao University, Qingdao University, China
| | - Dantong Sun
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weizhong Han
- Department of Respiratory Medicine, The Affiliated Hospital of Qingdao University, China
| | - Zhen Yang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao University, China
| | - Yongzhi Lu
- Department of Oncology, Qingdao Municipal Hospital, China
| | - Xuchen Zhang
- Precision Medicine Center of Oncology, The Affiliated Hospital of Qingdao University, Qingdao University, China
| | - Yongjie Wang
- Department of Thoracic Surgery, The Affiliation Hospital of Qingdao University, China
| | - Chuantao Zhang
- Department of Oncology, The Affiliated Hospital of Qingdao University, China
| | - Ning Liu
- Department of Oncology, The Affiliated Hospital of Qingdao University, China
| | - Helei Hou
- Department of Oncology, The Affiliated Hospital of Qingdao University, China
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Wu F, Yang Q, Pan W, Meng W, Ma Z, Wang W. tRNA-derived fragments: mechanism of gene regulation and clinical application in lung cancer. Cell Oncol (Dordr) 2024; 47:37-54. [PMID: 37642916 DOI: 10.1007/s13402-023-00864-z] [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] [Accepted: 08/09/2023] [Indexed: 08/31/2023] Open
Abstract
Lung cancer, being the most widespread and lethal form of cancer globally, has a high incidence and mortality rate primarily attributed to challenges associated with early detection, extensive metastasis, and frequent recurrence. In the context of lung cancer development, noncoding RNA molecules have a crucial role in governing gene expression and protein synthesis. Specifically, tRNA-derived fragments (tRFs), a subset of noncoding RNAs, exert significant biological influences on cancer progression, encompassing transcription and translation processes as well as epigenetic regulation. This article primarily examines the mechanisms by which tRFs modulate gene expression and contribute to tumorigenesis in lung cancer. Furthermore, we provide a comprehensive overview of the current bioinformatics analysis of tRFs in lung cancer, with the objective of offering a systematic and efficient approach for studying the expression profiling, functional enrichment, and molecular mechanisms of tRFs in this disease. Finally, we discuss the clinical significance and potential avenues for future research on tRFs in lung cancer. This paper presents a comprehensive systematic review of the existing research findings on tRFs in lung cancer, aiming to offer improved biomarkers and drug targets for clinical management of lung cancer.
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Affiliation(s)
- Fan Wu
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Qianqian Yang
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Wei Pan
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Wei Meng
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Zhongliang Ma
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
| | - Weiwei Wang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China.
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Lu H, Qian J, Cheng L, Shen Y, Chu T, Zhao C. Single-cell RNA-sequencing uncovers the dynamic changes of tumour immune microenvironment in advanced lung adenocarcinoma. BMJ Open Respir Res 2023; 10:e001878. [PMID: 38081768 PMCID: PMC10729175 DOI: 10.1136/bmjresp-2023-001878] [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: 06/08/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The heterogeneity of lung adenocarcinoma (LUAD) plays a vital role in determining the development of cancer and therapeutic sensitivity and significantly hinders the clinical treatment of LUAD. OBJECTIVE To elucidate the cellular composition and reveal previously uncharacterised tumour microenvironment in LUAD using single-cell RNA-sequencing (scRNA-seq). METHODS Two scRNA-seq datasets with 106 829 high-quality cells from 34 patients including 11 normal, 9 early (stage I and II) and 14 advanced (stage III and IV) LUAD were integrated and clustered to explore diagnostic and therapeutic cell populations and their biomarkers for diverse stages of LUAD. Three independent bulk RNA-seq datasets were used to validate the results from scRNA-seq analysis. The expression of marker genes for specific cell types in early and advanced LUAD was verified by immunohistochemistry (IHC). RESULTS Comprehensive cluster analysis identified that S100P+ epithelial and SPP1+ macrophage, positively related to poor outcomes, were preferentially enriched in advanced stage. Although the accumulation of KLRB1+CD8+ T cell and IGHA1+/IGHG1+ plasma cell both significantly associated the favourable prognosis, we also found KLRB1+CD8+ T cell decreased in advanced stage while IGHA1+/IGHG1+ plasma cells were increased. Cell-cell communication analysis showed that SPP1+ macrophage could interact with most of CD8+ subclusters through SPP1-CD44 axis. Furthermore, based on three independent bulk RNA-seq datasets, we built risk model with nine marker genes for specific cell subtypes and conducted deconvolution analysis, both supporting our results from scRNA-seq data. We finally validated the expression of four marker genes in early and advanced LUAD by IHC. CONCLUSION Our analyses highlight the molecular dynamics of LUAD epithelial and microenvironment and provide new targets to improve LUAD therapy.
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Affiliation(s)
- Haijiao Lu
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialin Qian
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Cheng
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinchen Shen
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianqing Chu
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaoxian Zhao
- Shanghai Cancer Institute, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Luo Y, Wang H, Zhong J, Shi J, Zhang X, Yang Y, Wu R. Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma. Heliyon 2023; 9:e21336. [PMID: 37954334 PMCID: PMC10637964 DOI: 10.1016/j.heliyon.2023.e21336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 11/14/2023] Open
Abstract
Background APOBEC family play an important role in cancer mutagenesis and tumor development. The role of APOBEC family in lung adenocarcinoma (LUAD) has not been studied comprehensively. Materials and methods The expression data of pan-cancer as well as LUAD was obtained from public databases. The expression level of APOBEC family genes was analyzed in different normal and cancer tissues. APOBEC mutagenesis enrichment score (AMES) was utilized to evaluate the APOBEC-induced mutations and the relation of APOBEC with genomic instability. Gene set enrichment analysis was used to identify differentially enriched pathways. Univariate Cox regression and Lasso regression were applied to screen key prognostic genes. The immune cell infiltration was estimated by CIBERSORT. RT-qPCR assay, CCK-8 and Transwell assay were conducted to explore gene expression and lung cancer cell invasion. Results Cancer tissues had significantly altered expression of APOBEC family genes and the expression patterns of APOBEC family were different in different cancer types. APOBEC3B was the most aberrantly expressed in most cancer types. In LUAD, we observed a significantly positive correlation of AMES with intratumor heterogeneity (ITH), tumor neoantigen burden (TNB), and tumor mutation burden (TMB). High AMES group had high mutation counts of DNA damage repair pathways, and high enrichment of cell cycle and DNA repair pathways. We identified four prognostic genes (LYPD3, ANLN, MUC5B, and FOSL1) based on AMES, and constructed an AMES-related gene signature. The expressions of four genes were enhanced and accelerated the invasion ability and viability of lung cancer cells. Furthermore, we found that high group increased oxidative stress level. Conclusions APOBEC family was associated with genomic instability, DNA damage-related pathways, and cell cycle in LUAD. The AMES-related gene signature had a great potential to indicate the prognosis and guide immunotherapy/chemotherapy for patients suffering from LUAD.
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Affiliation(s)
- Yu Luo
- Gynecology Department of Jingmen Traditional Chinese Medicine Hospital, Jingmen, 448000, China
- Beijing University of Traditional Chinese Medicine Guoyitang Expert Clinic, National Medical Hall of Beijing University of Traditional Chinese Medicine, Jingmen Traditional Chinese Medicine Hospital, Jingmen, 448000, China
| | - Huiru Wang
- Clinical College of Traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, Wuhan, 430014, China
| | - Jian Zhong
- Department of Nephrology, Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, 100105, China
| | - Jianrong Shi
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xianlin Zhang
- Department of Endocrinology, Wuhan Hospital of Traditional Chinese Medicine, Wuhan Traditional Chinese Medicine Hospital, Wuhan, 430014, China
| | - Yanni Yang
- Health Management Center of Jingmen Traditional Chinese Medicine Hospital, Jingmen, 448000, China
| | - Ruixin Wu
- School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
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Zhou A, Zhang D, Kang X, Brooks JD. Identification of age- and immune-related gene signatures for clinical outcome prediction in lung adenocarcinoma. Cancer Med 2023; 12:17475-17490. [PMID: 37434467 PMCID: PMC10501266 DOI: 10.1002/cam4.6330] [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: 03/23/2023] [Revised: 06/08/2023] [Accepted: 07/03/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND The understanding of the factors causing decreased overall survival (OS) in older patients compared to younger patients in lung adenocarcinoma (LUAD) remains. METHODS Gene expression profiles of LUAD were obtained from publicly available databases by Kaplan-Meier analysis was performed to determine whether age was associated with patient OS. The immune cell composition in the tumor microenvironment (TME) was evaluated using CIBERSORT. The fraction of stromal and immune cells in tumor samples were also using assessed using multiple tools including ESTIMATE, EPIC, and TIMER. Differentially expressed genes (DEGs) from the RNA-Seq data that were associated with age and immune cell composition were identified using the R package DEGseq. A 22-gene signature composed of DEGs associated with age and immune cell composition that predicted OS were constructed using Least Absolute Shrinkage and Selection Operator (LASSO). RESULTS In The Cancer Genome Atlas (TCGA)-LUAD dataset, we found that younger patients (≤70) had a significant better OS compared to older patients (>70). In addition, older patients had significantly higher expression of immune checkpoint proteins including inhibitory T cell receptors and their ligands. Moreover, analyses using multiple bioinformatics tools showed increased immune infiltration, including CD4+ T cells, in older patients compared to younger patients. We identified a panel of genes differentially expressed between patients >70 years compared to those ≤70 years, as well as between patients with high or low immune scores and selected 84 common genes to construct a prognostic gene signature. A risk score calculated based on 22 genes selected by LASSO predicted 1, 3, and 5-year OS, with an area under the curve (AUC) of 0.72, 0.72, 0.69, receptively, in TCGA-LUAD dataset and an independent validation dataset available from the European Genome-phenome Archive (EGA). CONCLUSION Our results demonstrate that age contributes to OS of LUAD patients atleast in part through its association with immune infiltration in the TME.
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Affiliation(s)
- Andrew Zhou
- Department of UrologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Dalin Zhang
- Department of UrologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Xiaoman Kang
- Department of OncologyStanford University School of MedicineStanfordCaliforniaUSA
| | - James D. Brooks
- Department of UrologyStanford University School of MedicineStanfordCaliforniaUSA
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6
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Xu H, Chen HC, Yang L, Yang G, Liang L, Yang Y, Tang H, Bao H, Wu X, Shao Y, An G, Wang Y. Mutational landscape of SWI/SNF complex genes reveal correlation to predictive biomarkers for immunotherapy sensitivity in lung adenocarcinoma patients. ESMO Open 2023; 8:101585. [PMID: 37327699 DOI: 10.1016/j.esmoop.2023.101585] [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: 01/18/2023] [Revised: 04/13/2023] [Accepted: 05/15/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND The search for prognostic biomarkers indicating sensitivity to immunotherapy in lung adenocarcinoma patients has zeroed in on genes in the switch/sucrose non-fermentable (SWI/SNF) pathway. The mutational profiles of key genes are not clearly defined, however, and no comparisons have been conducted on whether mutations in the genes involved provide the same predictive value. METHODS In this study, analysis of clinical factors, tumor mutation burden (TMB), chromosomal instability, and co-alterations was conducted for 4344 lung adenocarcinoma samples. Independent online cohorts (N = 1661 and 576) were used to supplement the analysis with survival and RNA-seq data. RESULTS Mutational burden and chromosomal instability analysis showed that ARID family mutations (including ARID1A, ARID1B, or ARID2 mutations) and SMARC family mutations (including SMARCA4 or SMARCB1 mutations) display different profiles from wild-type (WT) samples (TMB: ARID versus WT: P < 2.2 × 10-16, SMARC versus WT: P < 2.2 × 10-16; CIN: ARID versus WT: P = 1.8 × 10-5, SMARC versus WT: P = 0.027). Both mutant groups have a higher proportion of transversions than transitions, whereas the ratio is more equal for wild-type samples. Survival analysis shows that patients with ARID mutations were more sensitive to immunotherapy treatment than wild-type and SMARC-mutated patients (P < 0.001 and P = 0.013, respectively), and multivariate Cox analysis reveals that the presence of ARID mutations is likely the main cause. CONCLUSIONS The research presented in this study shows that mutations in the ARID gene family, including ARID1A, ARID1B, and ARID2, are primarily responsible for the sensitive response to immunotherapy treatment in patients with lung adenocarcinoma.
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Affiliation(s)
- H Xu
- Departments of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H-C Chen
- Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - L Yang
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing
| | - G Yang
- Department of Respiratory Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong
| | - L Liang
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing
| | - Y Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Tang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu
| | - H Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu
| | - X Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu
| | - Y Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu
| | - G An
- Department of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Y Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing.
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Ottaiano A, Santorsola M, Circelli L, Trotta AM, Izzo F, Perri F, Cascella M, Sabbatino F, Granata V, Correra M, Tarotto L, Stilo S, Fiore F, Martucci N, Rocca AL, Picone C, Muto P, Borzillo V, Belli A, Patrone R, Mercadante E, Tatangelo F, Ferrara G, Di Mauro A, Scognamiglio G, Berretta M, Capuozzo M, Lombardi A, Galon J, Gualillo O, Pace U, Delrio P, Savarese G, Scala S, Nasti G, Caraglia M. Oligo-Metastatic Cancers: Putative Biomarkers, Emerging Challenges and New Perspectives. Cancers (Basel) 2023; 15:cancers15061827. [PMID: 36980713 PMCID: PMC10047282 DOI: 10.3390/cancers15061827] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/13/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
Some cancer patients display a less aggressive form of metastatic disease, characterized by a low tumor burden and involving a smaller number of sites, which is referred to as "oligometastatic disease" (OMD). This review discusses new biomarkers, as well as methodological challenges and perspectives characterizing OMD. Recent studies have revealed that specific microRNA profiles, chromosome patterns, driver gene mutations (ERBB2, PBRM1, SETD2, KRAS, PIK3CA, SMAD4), polymorphisms (TCF7L2), and levels of immune cell infiltration into metastases, depending on the tumor type, are associated with an oligometastatic behavior. This suggests that OMD could be a distinct disease with specific biological and molecular characteristics. Therefore, the heterogeneity of initial tumor burden and inclusion of OMD patients in clinical trials pose a crucial methodological question that requires responses in the near future. Additionally, a solid understanding of the molecular and biological features of OMD will be necessary to support and complete the clinical staging systems, enabling a better distinction of metastatic behavior and tailored treatments.
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Affiliation(s)
- Alessandro Ottaiano
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Mariachiara Santorsola
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Luisa Circelli
- AMES, Centro Polidiagnostico Strumentale SRL, Via Padre Carmine Fico 24, 80013 Casalnuovo Di Napoli, Italy
| | - Anna Maria Trotta
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Francesco Izzo
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Francesco Perri
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Marco Cascella
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Francesco Sabbatino
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
| | - Vincenza Granata
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Marco Correra
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Luca Tarotto
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Salvatore Stilo
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Francesco Fiore
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Nicola Martucci
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Antonello La Rocca
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Carmine Picone
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Paolo Muto
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Valentina Borzillo
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Andrea Belli
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Renato Patrone
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Edoardo Mercadante
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Fabiana Tatangelo
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Gerardo Ferrara
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Annabella Di Mauro
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Giosué Scognamiglio
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Massimiliano Berretta
- Department of Clinical and Experimental Medicine, University of Messina, Via Consolare Valeria, 98125 Messina, Italy
| | | | - Angela Lombardi
- Department of Precision Medicine, University of Campania "L. Vanvitelli", Via Luigi De Crecchio 7, 80138 Naples, Italy
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, 75006 Paris, France
- Equipe Labellisée Ligue Contre le Cancer, 75006 Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université de Paris, 75006 Paris, France
| | - Oreste Gualillo
- SERGAS (Servizo Galego de Saude) and NEIRID Lab (Neuroendocrine Interactions in Rheumatology and Inflammatory Diseases), Research Laboratory 9, IDIS (Instituto de Investigación Sanitaria de Santiago), Santiago University Clinical Hospital, 15706 Santiago de Compostela, Spain
| | - Ugo Pace
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Paolo Delrio
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Giovanni Savarese
- AMES, Centro Polidiagnostico Strumentale SRL, Via Padre Carmine Fico 24, 80013 Casalnuovo Di Napoli, Italy
| | - Stefania Scala
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Guglielmo Nasti
- Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via Mariano Semmola, 80131 Naples, Italy
| | - Michele Caraglia
- Department of Precision Medicine, University of Campania "L. Vanvitelli", Via Luigi De Crecchio 7, 80138 Naples, Italy
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Zhao J, Niu N, Yang F, Liu H, Qi W. Preparation, characterisation, and in vitro cancer-suppression function of RNA nanoparticles carrying miR-301b-3p Inhibitor. IET Nanobiotechnol 2023; 17:224-233. [PMID: 36892102 DOI: 10.1049/nbt2.12120] [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: 08/11/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Multidrug resistance is the biggest barrier on the way to chemotherapy for lung adenocarcinoma (LUAD). For some LUAD patients with cisplatin (DDP) resistance and poor prognoses, the authors put forward RNA nanoparticles (NPs) carrying miR-301b-3p Inhibitor. METHODS The NPs were composed of miR-301b-3p, A549 aptamer (A549apt), and Cyanine 5 in a bottom-up manner with a 3-way-junction (3WJ) structure. Diameter, assembly process, and morphology of NPs were observed by Dynamic Light Scattering, Native-Polyacrylamide Gel Electrophoresis, and Atomic Force Microscopy. Cell internalisation, toxicity, proliferation, migration, invasion, and apoptosis were assayed by confocal laser scanning microscope, CCK8, colony formation assay, Transwell, western blot, and flow cytometry. RESULTS 3WJ-apt-miR was evenly distributed, with diameter of 19.61 ± 0.49 nm and triangular branching structures. The accurate delivery of this NP in vivo was ensured by A549 aptamer featuring specific targeting, with smaller side effects than traditional chemotherapy. Such nanomaterials were effectively internalized by cancer cells, with normal cell activity intact. Cancer cell proliferation, invasion, and migration were suppressed, and DDP sensitivity was enhanced, causing DNA damage and facilitating apoptosis of DDP-resistant cells. CONCLUSION Based on RNA self-assembling, the authors researched the effect of miRNA on DDP sensitivity in LUAD regarding gene regulation. 3WJ-apt-miR paves the way for clinical tumour therapy.
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Affiliation(s)
- Junjie Zhao
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiaxing University (the First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Niu Niu
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiaxing University (the First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Fan Yang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiaxing University (the First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Haitao Liu
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiaxing University (the First Hospital of Jiaxing), Jiaxing, Zhejiang, China
| | - Weibo Qi
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiaxing University (the First Hospital of Jiaxing), Jiaxing, Zhejiang, China
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Zhong J, Bai H, Wang Z, Duan J, Zhuang W, Wang D, Wan R, Xu J, Fei K, Ma Z, Zhang X, Wang J. Treatment of advanced non-small cell lung cancer with driver mutations: current applications and future directions. Front Med 2023; 17:18-42. [PMID: 36848029 DOI: 10.1007/s11684-022-0976-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 12/05/2022] [Indexed: 03/01/2023]
Abstract
With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations ("target-dependent resistance") and in the parallel and downstream pathways ("target-independent resistance"). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations.
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Affiliation(s)
- Jia Zhong
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wei Zhuang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Di Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Rui Wan
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jiachen Xu
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Kailun Fei
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zixiao Ma
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xue Zhang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Xie T, Fan G, Huang L, Lou N, Han X, Xing P, Shi Y. Analysis on methylation and expression of PSMB8 and its correlation with immunity and immunotherapy in lung adenocarcinoma. Epigenomics 2022; 14:1427-1448. [PMID: 36683462 DOI: 10.2217/epi-2022-0282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Aim: To find biomarkers for immunity and immunotherapy in lung adenocarcinoma (LUAD) through multiomics analysis. Materials & methods: The multiomics data of patients with LUAD were downloaded from the TCGA and GEO databases. CIBERSORT, quanTIseq, ESTIMATEScore, k-means clustering, gene set enrichment analysis, gene set variation analysis, immunophenoscore and logistic regression were used in this study. Results: PSMB8 HypoMet-HighExp group patients have more active immune-related pathways, more antitumor immune cells, less protumor immune cells, higher immunophenoscore and longer progression-free survival of immune checkpoint inhibitor therapy than HyperMet-LowExp group. In multivariate analysis, PSMB8 showed an independent value. Conclusion: The combination of DNA methylation and mRNA expression of PSMB8 could independently distinguish types of tumor immune microenvironment and predict programmed cell death protein 1/programmed cell death-ligand 1 inhibitors' effects in patients with LUAD.
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Affiliation(s)
- Tongji Xie
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Guangyu Fan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Liling Huang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Ning Lou
- Department of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe & Rare Diseases, NMPA Key Laboratory for Clinical Research & Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Puyuan Xing
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
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11
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Hou S, Xu H, Liu S, Yang B, Li L, Zhao H, Jiang C. Integrated Bioinformatics Analysis Identifies a New Stemness Index-Related Survival Model for Prognostic Prediction in Lung Adenocarcinoma. Front Genet 2022; 13:860268. [PMID: 35464867 PMCID: PMC9026767 DOI: 10.3389/fgene.2022.860268] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/07/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is one of the most lethal malignancies and is currently lacking in effective biomarkers to assist in diagnosis and therapy. The aim of this study is to investigate hub genes and develop a risk signature for predicting prognosis of LUAD patients. METHODS RNA-sequencing data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was performed to identify hub genes associated with mRNA expression-based stemness indices (mRNAsi) in TCGA. We utilized LASSO Cox regression to assemble our predictive model. To validate our predictive model, me applied it to an external cohort. RESULTS mRNAsi index was significantly associated with the tissue type of LUAD, and high mRNAsi scores may have a protective influence on survival outcomes seen in LUAD patients. WGCNA indicated that the turquoise module was significantly correlated with the mRNAsi. We identified a 9-gene signature (CENPW, MCM2, STIL, RACGAP1, ASPM, KIF14, ANLN, CDCA8, and PLK1) from the turquoise module that could effectively identify a high-risk subset of these patients. Using the Kaplan-Meier survival curve, as well as the time-dependent receiver operating characteristic (tdROC) analysis, we determined that this gene signature had a strong predictive ability (AUC = 0.716). By combining the 9-gene signature with clinicopathological features, we were able to design a predictive nomogram. Finally, we additionally validated the 9-gene signature using two external cohorts from GEO and the model proved to be of high value. CONCLUSION Our study shows that the 9-gene mRNAsi-related signature can predict the prognosis of LUAD patient and contribute to decisions in the treatment and prevention of LUAD patients.
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Affiliation(s)
- Shaohui Hou
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Hongrui Xu
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Shuzhong Liu
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Bingjun Yang
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Li Li
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Hui Zhao
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
| | - Chunyang Jiang
- Department of Thoracic Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
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