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Liu Y, Sun M, Xiong Y, Gu X, Zhang K, Liu L. Construction and Validation of Prognosis Nomogram for Metastatic Lung Squamous Cell Carcinoma: A Population-Based Study. Technol Cancer Res Treat 2022; 21:15330338221132035. [PMID: 36217877 PMCID: PMC9558863 DOI: 10.1177/15330338221132035] [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] [Indexed: 11/05/2022] Open
Abstract
Purpose: This study aimed to establish a nomogram to predict overall
survival in lung squamous cell carcinoma patients with metastasis for clinical
decision-making. Methods: We investigated lung squamous cell
carcinoma patients diagnosed with stage M1 in the Surveillance, Epidemiology,
and Final Results database between 2010 and 2015. They were divided into
training cohort and validation cohort. In the training cohort, statistically
significant prognostic factors were identified using univariate and multivariate
Cox regression analysis, and an individualized nomogram model was developed. The
model was evaluated by C-index, area under the curve, calibration plot, decision
curve analysis, and risk group stratification. Results: In total,
9910 patients were included in our study, including 6937 in the training cohort
and 2937 in the validation cohort. Factors containing age, T stage, N stage,
bone metastasis, brain metastasis, liver metastasis, surgery, chemotherapy, and
radiotherapy were independent prognostic factors for overall survival and were
used in the construction of the nomogram. The C-index in the training cohort and
validation cohort were 0.711 (95% confidenc interval: 0.705-0.717) and 0.707
(95% confidenc interval: 0.697-0.717), respectively. The time-dependent area
under the curve of both groups was higher than 0.7 within 5 years. Calibration
plots indicated that the nomogram-predicted survival was consistent with the
recorded 6-month, 1-year, and 2-year prognoses. Furthermore, decision curve
analysis revealed that the nomogram was clinically useful and had a better
discriminative ability to recognize patients at high risk than the TNM
criteria-based tumor staging. And then we developed an overall survival risk
classification system based on the nomogram total points for each patient, which
divided all patients into a high-risk group and a low-risk group. Finally, we
implemented this nomogram in a free online tool. Conclusion: We
constructed a nomogram and a corresponding risk classification system predicting
the overall survival of lung squamous cell carcinoma patients with metastasis.
These tools can assist in patients’ counseling and guide treatment
decision-making.
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Affiliation(s)
- Yuting Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China
| | - Min Sun
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China
| | - Ying Xiong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China
| | - Xinyue Gu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China
| | - Kai Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China,Kai Zhang, Cancer Center, Union Hospital,
Tongji Medical College, Huazhong University of Science and Technology, Wuhan
430022, China. Li Liu, Cancer Center,
Union Hospital, Tongji Medical College, Huazhong University of Science and
Technology, Wuhan 430022, China.
| | - Li Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong
University of Science and Technology, Wuhan, China
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A Novel Prognosis Signature Based on Ferroptosis-Related Gene DNA Methylation Data for Lung Squamous Cell Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:9103259. [PMID: 36131791 PMCID: PMC9484906 DOI: 10.1155/2022/9103259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/07/2022] [Accepted: 07/13/2022] [Indexed: 11/18/2022]
Abstract
Ferroptosis-related genes regulating an iron- and lipid reactive oxygen species (ROS)-dependent form of programmed cell death suggest critical roles for ferroptosis in cancers. However, the prognostic value of ferroptosis-related epigenetic features such as DNA methylation in lung squamous cell carcinoma (LUSC) needs to be studied. Ferroptosis-related genes are collected from the FerrDb database, and the methylation data of these related genes in LUSC methylation data downloaded from the TCGA are retrieved. The DNA methylation data (362 LUSC samples) were analyzed to screen prognostic ferroptosis-related methylation sites. After patients with complete overall survival (OS) information were randomly separated into training cohort (n = 200) and validation cohort (n = 162), the least absolute shrinkage and selection operator (LASSO) and the Cox regression were used to establish and validate the prognostic signature. The time-dependent receiver operating characteristic (ROC) and Kaplan–Meier survival curve analyses, Harrell's concordance index (C-index), calibration analysis, and decision curve analysis (DCA) were performed to evaluate the risk signature and related nomogram. A series of other bioinformatics approaches such as mexpress, cbioportal, maftools, string, metascape, TIMER, and Kaplan–Meier survival curve analysis were also used to determine the methylation, mutation status, protein interaction network or functional enrichment, effects on immune cell infiltration, or expression level prognosis of those signature-related genes. A total of 137 DNA methylation sites were identified as prognostic predictors corresponding to 109 ferroptosis-related genes (FRGs). The methylation signature containing 31 methylation sites proved to be superior predictive efficiency in predicting the 1-, 3-, 5-, and 10-year OS. 8 out of 28 signature-related genes were significantly related to OS time or OS state in patients with LUSC. In addition, DUSP1, ZFN36, and ALOX5 methylation status also correlated with pathological M and ALOX5 methylation correlated with pathological N. The prognostic prediction efficiency of T, N, M, and the stage was inferior to that of the DNA methylation signature. LUSC patients in the high-risk group own a significantly larger number of variants of FRGs than those in the low-risk group. In addition, negative or positive correlation patterns were presented among the different infiltrating immune cells with risk scores or signature-related genes in patients with LUSC. The expression level of 15 signature-related genes showed a significant relationship with OS of LUSC patients. A novel prognostic nomogram survival model containing 4 factors including age, pathologic T, stage, and risk group was constructed and validated, AndC-index, decision curve analysis (DCA), and calibration analysis demonstrated its excellent predictive performance. The FRG DNA methylation data-based prognostic model acts as a powerful prognostic prediction indicator in LUSC patients and is advantageous over the traditional model based on T, N, M, and stage.
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Ahmed YW, Alemu BA, Bekele SA, Gizaw ST, Zerihun MF, Wabalo EK, Teklemariam MD, Mihrete TK, Hanurry EY, Amogne TG, Gebrehiwot AD, Berga TN, Haile EA, Edo DO, Alemu BD. Epigenetic tumor heterogeneity in the era of single-cell profiling with nanopore sequencing. Clin Epigenetics 2022; 14:107. [PMID: 36030244 PMCID: PMC9419648 DOI: 10.1186/s13148-022-01323-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 08/12/2022] [Indexed: 11/29/2022] Open
Abstract
Nanopore sequencing has brought the technology to the next generation in the science of sequencing. This is achieved through research advancing on: pore efficiency, creating mechanisms to control DNA translocation, enhancing signal-to-noise ratio, and expanding to long-read ranges. Heterogeneity regarding epigenetics would be broad as mutations in the epigenome are sensitive to cause new challenges in cancer research. Epigenetic enzymes which catalyze DNA methylation and histone modification are dysregulated in cancer cells and cause numerous heterogeneous clones to evolve. Detection of this heterogeneity in these clones plays an indispensable role in the treatment of various cancer types. With single-cell profiling, the nanopore sequencing technology could provide a simple sequence at long reads and is expected to be used soon at the bedside or doctor's office. Here, we review the advancements of nanopore sequencing and its use in the detection of epigenetic heterogeneity in cancer.
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Affiliation(s)
- Yohannis Wondwosen Ahmed
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia.
| | - Berhan Ababaw Alemu
- Department of Medical Biochemistry, School of Medicine, St. Paul's Hospital, Millennium Medical College, Addis Ababa, Ethiopia
| | - Sisay Addisu Bekele
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Solomon Tebeje Gizaw
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Muluken Fekadie Zerihun
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endriyas Kelta Wabalo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Maria Degef Teklemariam
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tsehayneh Kelemu Mihrete
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Endris Yibru Hanurry
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Tensae Gebru Amogne
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Assaye Desalegne Gebrehiwot
- Department of Medical Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tamirat Nida Berga
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Ebsitu Abate Haile
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Dessiet Oma Edo
- Department of Medical Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, P.O. Box: 9086, Addis Ababa, Ethiopia
| | - Bizuwork Derebew Alemu
- Department of Statistics, College of Natural and Computational Sciences, Mizan Tepi University, Tepi, Ethiopia
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Liang Y, Lei Y, Du M, Liang M, Liu Z, Li X, Gao Y. The increased expression and aberrant methylation of SHC1 in non-small cell lung cancer: Integrative analysis of clinical and bioinformatics databases. J Cell Mol Med 2021; 25:7039-7051. [PMID: 34117717 PMCID: PMC8278126 DOI: 10.1111/jcmm.16717] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022] Open
Abstract
Despite the previous evidence showing that SHC adaptor protein 1 (SHC1) could encode three distinct isoforms (p46SHC, p52SHC and p66SHC) that function in different activities such as regulating life span and Ras activation, the precise underlying role of SHC1 in lung cancer also remains obscure. In this study, we firstly found that SHC1 expression was up‐regulated both in lung adenocarcinoma (LUAD) and in lung squamous cell carcinoma (LUSC) tissues. Furthermore, compared to patients with lower SHC1 expression, LUAD patients with higher expression of SHC1 had poorer overall survival (OS). Moreover, higher expression of SHC1 was also associated with worse OS in patients with stages 1 and 2 but not stage 3 lung cancer. Significantly, the analysis showed that SHC1 methylation level was associated with OS in lung cancer patients. It seemed that the methylation level at specific probes within SHC1 showed negative correlations with SHC1 expression both in LUAD and in LUSC tissues. The LUAD and LUSC patients with hypermethylated SHC1 at cg12473916 and cg19356022 probes had a longer OS. Therefore, it is reasonable to conclude that SHC1 has a potential clinical significance in LUAD and LUSC patients.
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Affiliation(s)
- Yicheng Liang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yangyang Lei
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minjun Du
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mei Liang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zixu Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xingkai Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yushun Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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