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Li X, Deng X, Liu T, Zhang W, Tao J. Disulfideptosis-associated lncRNAs reveal features of prognostic, immune escape, tumor mutation, and tumor malignant progression in renal clear cell carcinoma. Aging (Albany NY) 2024; 16:3280-3301. [PMID: 38334964 PMCID: PMC10929831 DOI: 10.18632/aging.205534] [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: 08/06/2023] [Accepted: 12/18/2023] [Indexed: 02/10/2024]
Abstract
PURPOSE Investigating the role of lncRNAs associated with the latest cell death mode (Disulfideptosis) in renal clear cell carcinoma, as well as their correlation with tumor prognosis, immune escape, immune checkpoints, tumor mutational burden, and malignant tumor progression. Searching for potential biomarkers and targets for renal clear cell carcinoma. METHODS Downloaded the expression profile data and clinical data of 533 cases of renal clear cell carcinoma from the TCGA database, and randomly divided them into a test set (267 cases) and a validation set (266 cases). Based on previous research, 13 genes associated with Disulfideptosis were obtained. Using R software, lncRNAs with a differential expression that is related to the prognosis of renal clear cell carcinoma and associated with Disulfideptosis were screened out. After univariate Cox regression analysis, Lasso regression analysis, and multivariate Cox regression analysis, lncRNAs with independent predictive ability were obtained. A predictive risk model was established based on the risk scores. Verification was carried out between the obtained high-risk and low-risk groups and their subgroups (including Age, Gender, tumor mutational burden (TMB), tumor grading, and staging). Subsequently, a nomogram was established, and a calibration curve was generated for verification. Performed GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analyses. Downloaded the values of Tumor Immune Dysfunction and Exclusion (TIDE) for all samples and calculated the difference between the high and low-risk groups. Selected human renal tumor cell lines (786-O, OS-RC-2, A-498, ACHN) and human renal cortex proximal tubule epithelial cell line (HK-2). The RNA expression levels of the above lncRNAs in each cell line were analyzed using RT-qPCR (Real-time Quantitative PCR Detecting System). Used siRNA (small interfering RNA) to knock down FAM225B in 786-O and OS-RC-2 cell lines, and then performed in vitro cell experiments to validate the functional characteristics of FAM225B. RESULTS Our constructed predictive model includes 5 lncRNAs with an independent predictive ability (FAM225B, ZNF503-AS1, SPINT1-AS1, WWC2-AS2, LINC01338), which can effectively distinguish between patients in high and low-risk groups and their subgroups. The 1, 3, and 5-year AUC (Area Under the ROC Curve) values of the established nomogram are 0.756, 0.752, and 0.781, respectively. The 5-year AUC value is higher compared to other clinical characteristics (Age: 0.598, Gender: 0.488, Grade: 0.680, Stage: 0.717). After the knockdown of FAM225B, the proliferation, migration, and invasion abilities of renal cancer cell lines OS-RC-2 and 786-O all decreased. CONCLUSION We have constructed and validated a prognostic model based on Disulfideptosis-associated lncRNAs. This model can effectively predict the high or low risk of patient prognosis and can distinguish the tumor cell mutational burden and immune escape capabilities among high-risk and low-risk patients. This predictive model can serve as an independent prognostic factor for renal clear cell carcinoma, providing a new direction for personalized treatment of patients with renal clear cell carcinoma.
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Affiliation(s)
- Xungang Li
- Department of Urology, Jiu Jiang No. 1 People’s Hospital, Jiujiang, Jiangxi 332000, P.R. China
| | - Xinxi Deng
- Department of Urology, Jiu Jiang No. 1 People’s Hospital, Jiujiang, Jiangxi 332000, P.R. China
| | - Taobin Liu
- Department of Urology, Jiu Jiang No. 1 People’s Hospital, Jiujiang, Jiangxi 332000, P.R. China
| | - Wensheng Zhang
- Department of Urology, Jiu Jiang No. 1 People’s Hospital, Jiujiang, Jiangxi 332000, P.R. China
| | - Jin Tao
- Department of Pediatric, Jiujiang University Affiliated Hospital, Jiujiang, Jiangxi 332000, P.R. China
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Zheng X, Liu W, Zhu Y, Kong W, Su X, Huang L, Cui Y, Sun G. Development and Validation of the Oxidative Stress Related lncRNAs for Prognosis in Esophageal Squamous Cell Carcinoma. Cancers (Basel) 2023; 15:4399. [PMID: 37686677 PMCID: PMC10487246 DOI: 10.3390/cancers15174399] [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: 07/11/2023] [Revised: 08/20/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
Esophageal squamous cell cancer (ESCC) is an aggressive disease associated with a poor prognosis. Long non-coding RNAs (lncRNAs) and oxidative stress play crucial roles in tumor progression. We aimed to identify an oxidative stress-related lncRNA signature that could predict the prognosis in ESCC. In the GSE53625 dataset, we identified 332 differentially expressed lncRNAs (DElncRNAs) between ESCC and control samples, out of which 174 were oxidative stress-related DElncRNAs. Subsequently, seven oxidative stress-related DElncRNAs (CCR5AS, LINC01749, PCDH9-AS1, TMEM220-AS1, KCNMA1-AS1, SNHG1, LINC01672) were selected based on univariate and LASSO Cox to build a prognostic risk model, and their expression was detected by RT-qPCR. The model exhibited an excellent ability for the prediction of overall survival (OS) and other clinicopathological traits using Kaplan-Meier (K-M) survival curves, receiver operating characteristic (ROC) curves, and the Wilcoxon test. Additionally, analysis of infiltrated immune cells and immune checkpoints indicated differences in immune status between the two risk groups. Finally, the in vitro experiments showed that PCDH9-AS1 overexpression inhibited proliferation ability and promoted apoptosis and oxidative stress levels in ESCC cells. In conclusion, our study demonstrated that a novel oxidative stress-related DElncRNA prognostic model performed favorably in predicting ESCC patient prognosis and benefits personalized clinical applications.
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Affiliation(s)
- Xuan Zheng
- School of Public Health, North China University of Science and Technology, Tangshan 063200, China; (X.Z.); (Y.C.)
| | - Wei Liu
- School of Clinical Medicine, North China University of Science and Technology, Tangshan 063200, China; (W.L.); (Y.Z.); (W.K.); (X.S.); (L.H.)
| | - Yingze Zhu
- School of Clinical Medicine, North China University of Science and Technology, Tangshan 063200, China; (W.L.); (Y.Z.); (W.K.); (X.S.); (L.H.)
| | - Wenyue Kong
- School of Clinical Medicine, North China University of Science and Technology, Tangshan 063200, China; (W.L.); (Y.Z.); (W.K.); (X.S.); (L.H.)
| | - Xin Su
- School of Clinical Medicine, North China University of Science and Technology, Tangshan 063200, China; (W.L.); (Y.Z.); (W.K.); (X.S.); (L.H.)
| | - Lanxiang Huang
- School of Clinical Medicine, North China University of Science and Technology, Tangshan 063200, China; (W.L.); (Y.Z.); (W.K.); (X.S.); (L.H.)
| | - Yishuang Cui
- School of Public Health, North China University of Science and Technology, Tangshan 063200, China; (X.Z.); (Y.C.)
| | - Guogui Sun
- Department of Hebei Key Laboratory of Medical-Industrial Integration Precision Medicine, Tangshan 063000, China
- Affiliated Hospital of North China University of Science and Technology, Tangshan 063000, China
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Lin K, Zhou Y, Lin Y, Feng Y, Chen Y, Cai L. Senescence-Related lncRNA Signature Predicts Prognosis, Response to Immunotherapy and Chemotherapy in Skin Cutaneous Melanoma. Biomolecules 2023; 13:biom13040661. [PMID: 37189408 DOI: 10.3390/biom13040661] [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: 11/25/2022] [Revised: 02/15/2023] [Accepted: 03/27/2023] [Indexed: 05/17/2023] Open
Abstract
Skin cutaneous melanoma (SKCM) is a highly malignant and aggressive cancer. Previous studies have shown that cellular senescence is a promising therapeutic strategy to limit melanoma cell progression. However, models to predict the prognosis of melanoma based on senescence-related lncRNAs and the efficacy of immune checkpoint therapy remain undefined. In this study, we developed a predictive signature consisting of four senescence-related lncRNAs (AC009495.2, U62317.1, AATBC, MIR205HG), and we then classified patients into high- and low-risk groups. GSEA (Gene set enrichment analysis) showed different activation of immune-related pathways in two groups. In addition, there were significant differences between the scores of tumor immune microenvironment, tumor burden mutation, immune checkpoint expression, and chemotherapeutic drug sensitivity between the two groups of patients. It provides new insights to guide more personalized treatment for patients with SKCM.
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Affiliation(s)
- Kefan Lin
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yingtong Zhou
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yanling Lin
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yuanyuan Feng
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yuting Chen
- First Clinical Medical College, Southern Medical University, Guangzhou 510515, China
| | - Longmei Cai
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Grandt CL, Brackmann LK, Poplawski A, Schwarz H, Marini F, Hankeln T, Galetzka D, Zahnreich S, Mirsch J, Spix C, Blettner M, Schmidberger H, Marron M. Identification of lncRNAs involved in response to ionizing radiation in fibroblasts of long-term survivors of childhood cancer and cancer-free controls. Front Oncol 2023; 13:1158176. [PMID: 37182169 PMCID: PMC10174438 DOI: 10.3389/fonc.2023.1158176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Introduction Long non-coding ribonucleic acids (lncRNAs) are involved in the cellular damage response following exposure to ionizing radiation as applied in radiotherapy. However, the role of lncRNAs in radiation response concerning intrinsic susceptibility to late effects of radiation exposure has not been examined in general or in long-term survivors of childhood cancer with and without potentially radiotherapy-related second primary cancers, in particular. Methods Primary skin fibroblasts (n=52 each) of long-term childhood cancer survivors with a first primary cancer only (N1), at least one second primary neoplasm (N2+), as well as tumor-free controls (N0) from the KiKme case-control study were matched by sex, age, and additionally by year of diagnosis and entity of the first primary cancer. Fibroblasts were exposed to 0.05 and 2 Gray (Gy) X-rays. Differentially expressed lncRNAs were identified with and without interaction terms for donor group and dose. Weighted co-expression networks of lncRNA and mRNA were constructed using WGCNA. Resulting gene sets (modules) were correlated to the radiation doses and analyzed for biological function. Results After irradiation with 0.05Gy, few lncRNAs were differentially expressed (N0: AC004801.4; N1: PCCA-DT, AF129075.3, LINC00691, AL158206.1; N2+: LINC02315). In reaction to 2 Gy, the number of differentially expressed lncRNAs was higher (N0: 152, N1: 169, N2+: 146). After 2 Gy, AL109976.1 and AL158206.1 were prominently upregulated in all donor groups. The co-expression analysis identified two modules containing lncRNAs that were associated with 2 Gy (module1: 102 mRNAs and 4 lncRNAs: AL158206.1, AL109976.1, AC092171.5, TYMSOS, associated with p53-mediated reaction to DNA damage; module2: 390 mRNAs, 7 lncRNAs: AC004943.2, AC012073.1, AC026401.3, AC092718.4, MIR31HG, STXBP5-AS1, TMPO-AS1, associated with cell cycle regulation). Discussion For the first time, we identified the lncRNAs AL158206.1 and AL109976.1 as involved in the radiation response in primary fibroblasts by differential expression analysis. The co-expression analysis revealed a role of these lncRNAs in the DNA damage response and cell cycle regulation post-IR. These transcripts may be targets in cancer therapy against radiosensitivity, as well as provide grounds for the identification of at-risk patients for immediate adverse reactions in healthy tissues. With this work we deliver a broad basis and new leads for the examination of lncRNAs in the radiation response.
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Affiliation(s)
- Caine Lucas Grandt
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
- Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
- *Correspondence: Caine Lucas Grandt,
| | - Lara Kim Brackmann
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Alicia Poplawski
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heike Schwarz
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Federico Marini
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Hankeln
- Institute of Organismic and Molecular Evolution, Molecular Genetics and Genome Analysis, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Danuta Galetzka
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sebastian Zahnreich
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johanna Mirsch
- Radiation Biology and DNA Repair, Technical University of Darmstadt, Darmstadt, Germany
| | - Claudia Spix
- Division of Childhood Cancer Epidemiology, German Childhood Cancer Registry, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heinz Schmidberger
- Department of Radiation Oncology and Radiation Therapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manuela Marron
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
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Li AA, Li F, Lan M, Zhang Y, Xie D, Yan MY. A novel endoplasmic reticulum stress-related lncRNA prognostic risk model for cutaneous melanoma. J Cancer Res Clin Oncol 2022; 148:3227-3241. [PMID: 35687183 DOI: 10.1007/s00432-022-04086-y] [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: 04/06/2022] [Accepted: 05/20/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Endoplasmic reticulum stress (ERS) and long non-coding RNAs (lncRNAs) are important in melanoma development and progression. This study aimed to explore the prognostic value of ERS-associated lncRNA profiles in cutaneous melanoma (CM). METHODS The Cancer Genome Atlas (TCGA) provides the raw data of CM. GSEA website was used to obtain ERS-related genes, and mRNA and LncRNA co-expression network were used to obtain ERS-related lncRNAs. A Lasso regression analysis was used to identify a prognostic risk model for the composition of ERS-related lncRNAs. Patients were divided into high- and low-risk groups based on the model's risk score. The researchers then compared the two groups' survival rates, immune infiltration, chemotherapeutic drug sensitivity, and immune checkpoint gene expression. RESULTS Thirty-nine ERS-related lncRNAs were discovered to be prognostic. A prognostic risk model made up of ten ERS-related lncRNAs was discovered. Patients in the low-risk group had a better prognosis than those in the high-risk group. An examination of tumor microenvironment revealed that risk scores correlated with immune cell infiltration in eight cases. Dacarbazine, paclitaxel, and cisplatin, three chemotherapy drugs, were more sensitive in the low-risk group than in the high-risk group. CONCLUSION This study identified a risk model of ten ERS-related lncRNAs that have significant prognostic value in CM and could help guide clinical treatment.
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Affiliation(s)
- An-An Li
- Department of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Fan Li
- Ji'an College, Ji'an, Jiangxi, People's Republic of China
| | - Min Lan
- Department of Orthopedic Surgery, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi, People's Republic of China
| | - Yu Zhang
- Department of Orthopedic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Dong Xie
- Department of Dermatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Mei-Ying Yan
- Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, No. 1 Mingde Road, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China.
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Yang X, Wang X, Sun X, Xiao M, Fan L, Su Y, Xue L, Luo S, Hou S, Wang H. Construction of five cuproptosis-related lncRNA signature for predicting prognosis and immune activity in skin cutaneous melanoma. Front Genet 2022; 13:972899. [PMID: 36160015 PMCID: PMC9490379 DOI: 10.3389/fgene.2022.972899] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Cuproptosis is a newly discovered new mechanism of programmed cell death, and its unique pathway to regulate cell death is thought to have a unique role in understanding cancer progression and guiding cancer therapy. However, this regulation has not been studied in SKCM at present. In this study, data on Skin Cutaneous Melanoma (SKCM) patients were downloaded from the TCGA database. We screened the genes related to cuproptosis from the published papers and confirmed the lncRNAs related to them. We applied Univariate/multivariate and LASSO Cox regression algorithms, and finally identified 5 cuproptosis-related lncRNAs for constructing prognosis prediction models (VIM-AS1, AC012443.2, MALINC1, AL354696.2, HSD11B1-AS1). The reliability and validity test of the model indicated that the model could well distinguish the prognosis and survival of SKCM patients. Next, immune microenvironment, immunotherapy analysis, and functional enrichment analysis were also performed. In conclusion, this study is the first analysis based on cuproptosis-related lncRNAs in SKCM and aims to open up new directions for SKCM therapy.
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Affiliation(s)
- Xiaojing Yang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Xiaojing Yang, ; Huiping Wang,
| | - Xing Wang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xinti Sun
- Department of Thoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Xiao
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Liyun Fan
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yunwei Su
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Lu Xue
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Suju Luo
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuping Hou
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
| | - Huiping Wang
- Department of Dermatovenereology, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Xiaojing Yang, ; Huiping Wang,
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Fabre ML, Canzoneri R, Gurruchaga A, Lee J, Tatineni P, Kil H, Lacunza E, Aldaz CM, Abba MC. MALINC1 an Immune-Related Long Non-Coding RNA Associated with Early-Stage Breast Cancer Progression. Cancers (Basel) 2022; 14:cancers14122819. [PMID: 35740485 PMCID: PMC9221538 DOI: 10.3390/cancers14122819] [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: 03/27/2022] [Revised: 05/19/2022] [Accepted: 06/02/2022] [Indexed: 11/29/2022] Open
Abstract
Simple Summary Here we characterize the phenotypic and molecular effects of MALINC1, a long non-coding RNA (lncRNA) that we found significantly upregulated in premalignant ductal carcinoma in-situ lesions. We provide evidence that MALINC1 behaves as an oncogenic and immune-related lncRNA involved with early-stage breast cancer progression, showing prognostic and predictive value to immunotherapy in invasive breast carcinomas. Abstract Long non-coding RNAs are increasingly being recognized as cancer biomarkers in various malignancies, acting as either tumor suppressors or oncogenes. The long non-coding MALINC1 intergenic RNA was identified as significantly upregulated in breast ductal carcinoma in situ. The aim of this study was to characterize MALINC1 expression, localization, and phenotypic and molecular effects in non-invasive and invasive breast cancer cells. We determined that MALINC1 is an estrogen–estrogen receptor-modulated lncRNA enriched in the cytoplasmic fraction of luminal A/B breast cancer cells that is associated with worse overall survival in patients with primary invasive breast carcinomas. Transcriptomic studies in normal and DCIS cells identified the main signaling pathways modulated by MALINC1, which mainly involve bioprocesses related to innate and adaptive immune responses, extracellular matrix remodeling, cell adhesion, and activation of AP-1 signaling pathway. We determined that MALINC1 induces premalignant phenotypic changes by increasing cell migration in normal breast cells. Moreover, high MALINC1 expression in invasive carcinomas was associated with a pro-tumorigenic immune environment and a favorable predicted response to immunotherapy both in luminal and basal-like subtypes compared with low-MALINC1-expression tumors. We conclude that MALINC1 behaves as an oncogenic and immune-related lncRNA involved with early-stage breast cancer progression.
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Affiliation(s)
- María Laura Fabre
- Centro de Investigaciones Inmunológicas Básicas y Aplicadas (CINIBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata 1900, Argentina; (M.L.F.); (R.C.); (A.G.); (E.L.)
| | - Romina Canzoneri
- Centro de Investigaciones Inmunológicas Básicas y Aplicadas (CINIBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata 1900, Argentina; (M.L.F.); (R.C.); (A.G.); (E.L.)
| | - Agustina Gurruchaga
- Centro de Investigaciones Inmunológicas Básicas y Aplicadas (CINIBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata 1900, Argentina; (M.L.F.); (R.C.); (A.G.); (E.L.)
| | - Jaeho Lee
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.L.); (P.T.); (H.K.)
| | - Pradeep Tatineni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.L.); (P.T.); (H.K.)
| | - Hyunsuk Kil
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.L.); (P.T.); (H.K.)
| | - Ezequiel Lacunza
- Centro de Investigaciones Inmunológicas Básicas y Aplicadas (CINIBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata 1900, Argentina; (M.L.F.); (R.C.); (A.G.); (E.L.)
| | - C. Marcelo Aldaz
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (J.L.); (P.T.); (H.K.)
- Correspondence: (C.M.A.); (M.C.A.)
| | - Martín Carlos Abba
- Centro de Investigaciones Inmunológicas Básicas y Aplicadas (CINIBA), Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata 1900, Argentina; (M.L.F.); (R.C.); (A.G.); (E.L.)
- Correspondence: (C.M.A.); (M.C.A.)
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Popecki P, Jurczyszyn K, Ziętek M, Kozakiewicz M. Texture Analysis in Diagnosing Skin Pigmented Lesions in Normal and Polarized Light-A Preliminary Report. J Clin Med 2022; 11:jcm11092505. [PMID: 35566634 PMCID: PMC9101611 DOI: 10.3390/jcm11092505] [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: 04/06/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 12/04/2022] Open
Abstract
The differential diagnosis of benign nevi (BN), dysplastic nevi (DN), and melanomas (MM) represents a considerable clinical problem. These lesions are similar in clinical examination but have different prognoses and therapeutic management techniques. A texture analysis (TA) is a mathematical and statistical analysis of pixel patterns of a digital image. This study aims to demonstrate the relationship between the TA of digital images of pigmented lesions under polarized and non-polarized light and their histopathological diagnosis. Ninety pigmented lesions of 76 patients were included in this study. We obtained 166 regions of interest (ROI) images for MM, 166 for DN, and 166 for BN. The pictures were taken under polarized and non-polarized light. Selected image texture features (entropy and difference entropy and long-run emphasis) of ROIs were calculated. Those three equations were used to construct the texture index (TI) and bone index (BI). All of the presented features distinguish melanomas, benign and dysplastic lesions under polarized light very well. In non-polarized images, only the long-run emphasis moment and both indices effectively differentiated nevi from melanomas. TA is an objective method of assessing pigmented lesions and can be used in automatic diagnostic systems.
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Affiliation(s)
- Paweł Popecki
- Department of Oral Surgery, Wroclaw Medical University, Krakowska 26, 50-425 Wroclaw, Poland;
| | - Kamil Jurczyszyn
- Department of Oral Surgery, Wroclaw Medical University, Krakowska 26, 50-425 Wroclaw, Poland;
- Correspondence: ; Tel.: +48-71-784-04-23
| | - Marcin Ziętek
- Department of Oncology, Wroclaw Medical University, Plac Hirszfelda 12, 53-413 Wroclaw, Poland;
- Department of Surgical Oncology, Wroclaw Comprehensive Cancer Center, Plac Hirszfelda 12, 53-413 Wroclaw, Poland
| | - Marcin Kozakiewicz
- Department of Maxillofacial Surgery, Medical University of Lodz, 113 S. Zeromski Street, 90-549 Lodz, Poland;
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