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Khurshid H, Ismaila N, Bian J, Dabney R, Das M, Ellis P, Feldman J, Hann C, Kulkarni S, Laskin J, Manochakian R, Mishra DR, Preeshagul I, Reddy P, Saxena A, Weinberg F, Kalemkerian GP. Systemic Therapy for Small-Cell Lung Cancer: ASCO-Ontario Health (Cancer Care Ontario) Guideline. J Clin Oncol 2023; 41:5448-5472. [PMID: 37820295 DOI: 10.1200/jco.23.01435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 10/13/2023] Open
Abstract
PURPOSE To provide evidence-based recommendations to practicing clinicians on the management of patients with small-cell lung cancer. METHODS An Expert Panel of medical oncology, thoracic surgery, radiation oncology, pulmonary, community oncology, research methodology, and advocacy experts were convened to conduct a literature search, which included systematic reviews, meta-analyses, and randomized controlled trials published from 1990 through 2022. Outcomes of interest included response rates, overall survival, disease-free survival or recurrence-free survival, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations. RESULTS The literature search identified 95 relevant studies to inform the evidence base for this guideline. RECOMMENDATIONS Evidence-based recommendations were developed to address systemic therapy options, timing of therapy, treatment in patients who are older or with poor performance status, role of biomarkers, and use of myeloid-supporting agents in patients with small-cell lung cancer.Additional information is available at www.asco.org/thoracic-cancer-guidelines.
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Affiliation(s)
| | - Nofisat Ismaila
- American Society of Clinical Oncology (ASCO), Alexandria, VA
| | | | | | | | - Peter Ellis
- Juravinski Cancer Center, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Jill Feldman
- EGFR Resisters Patient Advocacy Group, Deerfield, IL
| | | | - Swati Kulkarni
- Western University, Windsor Regional Cancer Program, Windsor, Ontario, Canada
| | - Janessa Laskin
- University of British Columbia, Vancouver, British Columbia, Canada
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Karapetyan L, AbuShukair HM, Li A, Knight A, Al Bzour AN, MacFawn IP, Thompson ZJ, Chen A, Yang X, Dadey R, Karunamurthy A, De Stefano DV, Sander C, Kunning SR, Najjar YG, Davar D, Luke JJ, Gooding W, Bruno TC, Kirkwood JM, Storkus WJ. Expression of lymphoid structure-associated cytokine/chemokine gene transcripts in tumor and protein in serum are prognostic of melanoma patient outcomes. Front Immunol 2023; 14:1171978. [PMID: 37435077 PMCID: PMC10332263 DOI: 10.3389/fimmu.2023.1171978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/31/2023] [Indexed: 07/13/2023] Open
Abstract
Background Proinflammatory chemokines/cytokines support development and maturation of tertiary lymphoid structures (TLS) within the tumor microenvironment (TME). In the current study, we sought to investigate the prognostic value of TLS-associated chemokines/cytokines (TLS-kines) expression levels in melanoma patients by performing serum protein and tissue transcriptomic analyses, and to then correlate these data with patients clinicopathological and TME characteristics. Methods Levels of TLS-kines in patients' sera were quantitated using a custom Luminex Multiplex Assay. The Cancer Genomic Atlas melanoma cohort (TCGA-SKCM) and a Moffitt Melanoma cohort were used for tissue transcriptomic analyses. Associations between target analytes and survival outcomes, clinicopathological variables, and correlations between TLS-kines were statistically analyzed. Results Serum of 95 patients with melanoma were evaluated; 48 (50%) female, median age of 63, IQR 51-70 years. Serum levels of APRIL/TNFSF13 were positively correlated with levels of both CXCL10 and CXCL13. In multivariate analyses, high levels of serum APRIL/TNFSF13 were associated with improved event-free survival after adjusting for age and stage (HR = 0.64, 95% CI 0.43-0.95; p = 0.03). High expression of APRIL/TNFSF13 tumor transcripts was significantly associated with improved OS in TCGA-SKCM (HR = 0.69, 95% CI 0.52-0.93; p = 0.01) and in Moffitt Melanoma patients (HR = 0.51, 95% CI: 0.32-0.82; p = 0.006). Further incorporation of CXCL13 and CXCL10 tumor transcript levels in a 3-gene index revealed that high APRIL/CXCL10/CXCL13 expression was associated with improved OS in the TCGA SKCM cohort (HR = 0.42, 95% CI 0.19-0.94; p = 0.035). Melanoma differentially expressed genes positively associated with high APRIL/CXCL10/CXCL13 tumor expression were linked to tumor infiltration by a diverse array of proinflammatory immune cell types. Conclusion Serum protein and tumor transcript levels of APRIL/TNFSF13 are associated with improved survival outcomes. Patients exhibiting high coordinate expression of APRIL/CXCL10/CXCL13 transcripts in their tumors displayed superior OS. Further investigation of TLS-kine expression profiles related to clinical outcomes in larger cohort studies is warranted.
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Affiliation(s)
- Lilit Karapetyan
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | | | - Aofei Li
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Andrew Knight
- Department of Medicine, Division of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Ayah Nedal Al Bzour
- Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Ian P. MacFawn
- Department of Immunology, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Zachary J. Thompson
- Department of Bioinformatics and Biostatistics, The Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Ann Chen
- Department of Bioinformatics and Biostatistics, The Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Xi Yang
- Department of Medicine, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Boston, MA, United States
| | - Rebekah Dadey
- Department of Immunology, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Arivarasan Karunamurthy
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | | | - Cindy Sander
- Department of Immunology, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Sheryl R. Kunning
- Department of Immunology, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Yana G. Najjar
- Department of Medicine, Hillman Cancer Center, Division of Hematology/Oncology; University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Diwakar Davar
- Department of Medicine, Hillman Cancer Center, Division of Hematology/Oncology; University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Jason J. Luke
- Department of Medicine, Hillman Cancer Center, Division of Hematology/Oncology; University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - William Gooding
- Hillman Cancer Center Biostatistics Facility, University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA, United States
| | - Tullia C. Bruno
- Tumor Microenvironment Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - John M. Kirkwood
- Department of Medicine, Hillman Cancer Center, Division of Hematology/Oncology; University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Tumor Microenvironment Center, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, United States
| | - Walter J. Storkus
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
- Departments of Dermatology, Pathology and Bioengineering, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
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Fan K, Zhang BH, Han D, Sun YC. EZH2 as a prognostic-related biomarker in lung adenocarcinoma correlating with cell cycle and immune infiltrates. BMC Bioinformatics 2023; 24:149. [PMID: 37069494 PMCID: PMC10111667 DOI: 10.1186/s12859-023-05271-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 04/04/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUNDS It has been observed that high levels of enhancer of zeste homolog 2 (EZH2) expression are associated with unsatisfactory prognoses and can be found in a wide range of malignancies. However, the effects of EZH2 on Lung Adenocarcinoma (LUAD) remain elusive. Through the integration of bioinformatic analyses, the present paper sought to ascertain the effects of EZH2 in LUAD. METHODS The TIMER and UALCAN databases were applied to analyze mRNA and protein expression data for EZH2 in LUAD. The result of immunohistochemistry was obtained from the HPA database, and the survival curve was drawn according to the library provided by the HPA database. The LinkedOmics database was utilized to investigate the co-expressed genes and signal transduction pathways with EZH2. Up- and down-regulated genes from The Linked Omics database were introduced to the CMap database to predict potential drug targets for LUAD using the CMap database. The association between EZH2 and cancer-infiltrating immunocytes was studied through TIMER and TISIDB. In addition, this paper explores the relationship between EZH2 mRNA expression and NSCLC OS using the Kaplan-Meier plotter database to further validate and complement the research. Furthermore, the correlation between EZH2 expression and EGFR genes, KRAS genes, BRAF genes, and smoking from the Cancer Genome Atlas (TCGA) database is analyzed. RESULTS In contrast to paracancer specimens, the mRNA and protein levels of EZH2 were higher in LUAD tissues. Significantly, high levels of EZH2 were associated with unsatisfactory prognoses in LUAD patients. Additionally, the coexpressed genes of EZH2 were predominantly associated with numerous cell growth-associated pathways, including the cell cycle, DNA replication, RNA transport, and the p53 signaling pathway, according to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The results of TCGA database revealed that the expression of EZH2 was lower in normal tissues than in lung cancer tissues (p < 0.05). Smoking was associated with elevated EZH2 expression (p < 0.001). EZH2 was highly expressed in lung cancers with positive KRAS expression, and the correlation was significant in lung adenocarcinoma (r = 0.3129, p < 0.001). CMap was applied to determine the top 15 positively correlated drugs/molecules and the top 15 negatively correlated drugs/molecules. MK-1775, MK-5108, fenbendazole, albendazole, BAY-K8644, evodiamine, purvalanol-a, mycophenolic-acid, PHA-793887, and cyclopamine are potential drugs for patients with lung adenocarcinoma and high EZH2 expression. CONCLUSIONS Highly expressed EZH2 is a predictor of a suboptimal prognosis in LUAD and may serve as a prognostic marker and target gene for LUAD. The underlying cause may be associated with the synergistic effect of KRAS, immune cell infiltration, and metabolic processes.
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Affiliation(s)
- Kui Fan
- Department of Radiation Oncology, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine-Hebei Province, No. 31, Huanghe West Road, Yunhe District, Cangzhou, 061000, Hebei, China
| | - Bo-Hui Zhang
- Department of Neurology, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine-Hebei Province, Cangzhou, 061000, Hebei, China
| | - Deng Han
- Division of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Yun-Chuan Sun
- Department of Radiation Oncology, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine-Hebei Province, No. 31, Huanghe West Road, Yunhe District, Cangzhou, 061000, Hebei, China.
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MCM2 in human cancer: functions, mechanisms, and clinical significance. Mol Med 2022; 28:128. [PMID: 36303105 PMCID: PMC9615236 DOI: 10.1186/s10020-022-00555-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 10/10/2022] [Indexed: 11/18/2022] Open
Abstract
Background Aberrant DNA replication is the main source of genomic instability that leads to tumorigenesis and progression. MCM2, a core subunit of eukaryotic helicase, plays a vital role in DNA replication. The dysfunction of MCM2 results in the occurrence and progression of multiple cancers through impairing DNA replication and cell proliferation. Conclusions MCM2 is a vital regulator in DNA replication. The overexpression of MCM2 was detected in multiple types of cancers, and the dysfunction of MCM2 was correlated with the progression and poor prognoses of malignant tumors. According to the altered expression of MCM2 and its correlation with clinicopathological features of cancer patients, MCM2 was thought to be a sensitive biomarker for cancer diagnosis, prognosis, and chemotherapy response. The anti-tumor effect induced by MCM2 inhibition implies the potential of MCM2 to be a novel therapeutic target for cancer treatment. Since DNA replication stress, which may stimulate anti-tumor immunity, frequently occurs in MCM2 deficient cells, it also proposes the possibility that MCM2 targeting improves the effect of tumor immunotherapy.
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Huang Q, Yang S, Yan H, Chen H, Wang Y, Wang Y. Development and validation of a combined glycolysis and immune prognostic signature for lung squamous cell carcinoma. Front Genet 2022; 13:907058. [PMID: 36246596 PMCID: PMC9561419 DOI: 10.3389/fgene.2022.907058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The involvement of glycolysis in the regulation of the tumor immune microenvironment has become a novel research field. In this study, the specific functions and clinical significance of glycolysis-related genes (GRGs) and immune-related genes (IRGs) were systematically characterized in lung squamous cell carcinoma (LUSC). Methods: We evaluated the prognostic value, interactions, somatic mutations, and copy-number variations of GRGs and IRGs in LUSC from a dataset of The Cancer Genome Atlas (TCGA). An integrated glycolysis–immune score (GIS) model was generated by random forest algorithm and stepwise Cox regression analysis. The predictive power of the GIS was examined by survival analysis, receiver operating characteristics, univariate and multivariate analyses, and subgroup analysis. The correlations between GIS and biological functions, glycolysis, immune activity, immune cell infiltration, and genomic changes were analyzed, and the potential of GIS to guide clinical treatment decisions was evaluated. Results: A total of 54 prognostic GRGs and IRGs were identified, and a strong correlation was noted among them. However, most of them had somatic mutations and a high incidence of CNV. The GIS model that contained two GRGs (PYGB and MDH1) and three IRGs (TSLP, SERPIND1, and GDF2) was generated and a high GIS indicated poor survival. Moreover, we found that low GIS was associated with immune pathway activation, M1 macrophage infiltration, and higher immune scores. Finally, patients with low GIS were more sensitive to chemotherapy and immunotherapy. Conclusion: An integrated model based on glycolysis and immune genes can distinguish the biological functions and immune infiltration patterns of individual tumors, quantitatively estimate the prognosis of patients with LUSC, and guide chemotherapy and immunotherapy decisions.
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Affiliation(s)
- Qiang Huang
- Department of Respiratory and Critical Care Medicine, Chengdu Second People’s Hospital, Chengdu, China
| | - Shan Yang
- Department of Rehabilitation Medicine, Chengdu Sixth People’s Hospital, Chengdu, China
| | - Hao Yan
- Department of Respiratory and Critical Care Medicine, Chengdu Second People’s Hospital, Chengdu, China
| | - Hong Chen
- Department of Respiratory and Critical Care Medicine, Chengdu Second People’s Hospital, Chengdu, China
| | - Yuzhu Wang
- Department of Respiratory and Critical Care Medicine, Chengdu Second People’s Hospital, Chengdu, China
| | - Yang Wang
- National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Yang Wang,
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Yuan J, Lan H, Huang D, Guo X, Liu C, Liu S, Zhang P, Cheng Y, Xiao S. Multi-Omics Analysis of MCM2 as a Promising Biomarker in Pan-Cancer. Front Cell Dev Biol 2022; 10:852135. [PMID: 35693940 PMCID: PMC9174984 DOI: 10.3389/fcell.2022.852135] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/29/2022] [Indexed: 11/30/2022] Open
Abstract
Minichromosome maintenance 2 (MCM2) is a member of the minichromosomal maintenance family of proteins that mainly regulates DNA replication and the cell cycle and is involved in regulating cancer cell proliferation in various cancers. Previous studies have reported that MCM2 plays a pivotal role in cell proliferation and cancer development. However, few articles have systematically reported the pathogenic roles of MCM2 across cancers. Therefore, the present pan-cancer study was conducted. Various computational tools were used to investigate the MCM2 expression level, genetic mutation rate, and regulating mechanism, immune infiltration, tumor diagnosis and prognosis, therapeutic response and drug sensitivity of various cancers. The expression and function of MCM2 were examined by Western blotting and CCK-8 assays. MCM2 was significantly upregulated in almost all cancers and cancer subtypes in The Cancer Genome Atlas and was closely associated with tumor mutation burden, tumor stage, and immune therapy response. Upregulation of MCM2 expression may be correlated with a high level of alterations rate. MCM2 expression was associated with the infiltration of various immune cells and molecules and markedly associated with a poor prognosis. Western blotting and CCK-8 assays revealed that MCM2 expression was significantly upregulated in melanoma cell lines. Our results also suggested that MCM2 promotes cell proliferation in vitro by activating cell proliferation pathways such as the Akt signaling pathways. This study explored the oncogenic role of MCM2 across cancers, provided data on the underlying mechanisms of these cancers for further research and demonstrated that MCM2 may be a promising target for cancer immunotherapy.
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Affiliation(s)
- Jing Yuan
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Hua Lan
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Dongqing Huang
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
- Department of Gynecology, The Second Hospital of Zhuzhou, Zhuzhou, China
| | - Xiaohui Guo
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Chu Liu
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Shuping Liu
- Department of Rehabilitation, Changsha Central Hospital of University of South China, Changsha, China
| | - Peng Zhang
- Graduate Collaborative Training Base of the Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Yan Cheng
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yan Cheng, ; Songshu Xiao,
| | - Songshu Xiao
- Department of Gynecology and Obstetrics, Third Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yan Cheng, ; Songshu Xiao,
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