Anoikis Patterns in Cervical Cancer: Identification of Subgroups and Construction of a Novel Risk Model for Predicting Prognosis and Immune Response DOI Creative Commons

Xuesong Xiang,

Jingxin Ding

Frontiers in Bioscience-Landmark, Journal Year: 2023, Volume and Issue: 28(11), P. 287 - 287

Published: Nov. 8, 2023

Background: Cervical cancer has high morbidity and intratumor heterogeneity. Anoikis, a form of programmed cell death preventing detached cells from readhering, may serve as potential prognostic signature for cervical cancer. This study aimed to assess the predictive performance anoikis patterns in prognosis. Methods: Differentially expressed anoikis-related genes (DEARGs) were identified between normal samples using data Gene Expression Omnibus database with elucidation mutation status bio-function. Novel molecular subtypes defined The Cancer Genome Atlas (TCGA) cohort consensus clustering analysis. A multigene was constructed through least absolute shrinkage selection operator (LASSO) Cox analysis internal external validation. nomogram-based survival probability over 3 5 years predicted assessed calibration, receiver operating characteristic, decision curve analysis, Kaplan-Meier curves. Additionally, mutation, function, immune conducted among different risk groups. Results: We 77 DEARGs tissues explored their functions. TCGA could be categorized into two based on these genes. Furthermore, seven constructed, nomogram involving clinicopathological characteristics showed satisfactory performance. Functional indicated that immune-related enriched, status, well sensitivity chemotherapies targeting drugs, correlated model. Conclusions: Anoikis play important roles tumor immunity can used predict prognosis cancers.

Language: Английский

Deciphering the role of lipid metabolism and acetylation in osteosarcoma: A comprehensive molecular analysis DOI
Yong Hai Wen, Xijiang Zhang, Jin Zhang

et al.

Environmental Toxicology, Journal Year: 2024, Volume and Issue: 39(10), P. 4776 - 4790

Published: Aug. 20, 2024

Abstract Osteosarcoma, known for its rapid progression and high metastatic potential, poses significant challenges in adolescent oncology. This study delves into the roles of lipid metabolism acetylation genes disease's pathogenesis. Utilizing gene set variation analysis, we examined 14 metabolism‐related pathways osteosarcoma patients, identifying variances three between primary cases. Additionally, differences four these groups were observed. A comprehensive analysis pinpointed 62 genes, with 39 exhibiting correlations termed (LMA) genes. Employing machine learning techniques like Lasso+RSF GBM, developed a predictive model overall survival based on LMA model, an average c‐index 0.771, focuses key genes: CYP2C8, PAFAH2, ACOX3, whose prognostic value was confirmed through receiver operating characteristic curve analyses. Quantitative RT‐PCR results indicated higher expression levels ACOX3 PAFAH2 OS cells (143B, HOS, MG63) than osteoblasts (hFOB1.19), while CYP2C8 lower cells. Furthermore, drug sensitivity pRRophetic algorithm suggested potential targeted therapies, revealing drugs differential scores varied treatment responses related to core not only highlights crucial role but also offers foundation personalized strategies, marking notable advancement combating this severe form cancer.

Language: Английский

Citations

0

From Spheroids to Bioprinting: A Literature Review on Biomanufacturing Strategies of 3D In Vitro Osteosarcoma Models DOI
Margarida F. Domingues, João C. Silva, Paola Sanjuan‐Alberte

et al.

Advanced Therapeutics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Abstract Osteosarcoma (OS) is a rare primary malignant bone cancer affecting mainly young individuals. Treatment typically consists of chemotherapy and surgical tumor resection, which has undergone few improvements since the 1970s. This therapeutic approach encounters several limitations attributed to tumor's inherent chemoresistance, marked heterogeneity metastatic potential. Therefore, development in vitro platforms that closely mimic OS pathophysiology crucial understand progression discover effective anticancer therapeutics. Contrary 2D monolayer cultures animal models, 3D show promise replicating macrostructure, cell‐cell cell‐extracellular matrix interactions. review provides an overview biomanufacturing strategies employed developing highlighting their role different aspects improving research drug screening. A variety models are explored, including both scaffold‐free scaffold‐based encompassing cell spheroids, hydrogels, innovative approaches like electrospun nanofibers, microfluidic devices bioprinted constructs. By examining distinctive features each model type, this offers insights into potential transformative impact on landscape innovation, addressing challenges future directions modeling.

Language: Английский

Citations

0

Identification of tumor antigens and anoikis-based molecular subtypes in the hepatocellular carcinoma immune microenvironment: implications for mRNA vaccine development and precision treatment DOI Creative Commons

Zhiyuan Zheng,

Hantao Yang,

Yang Shi

et al.

Journal Of Big Data, Journal Year: 2023, Volume and Issue: 10(1)

Published: Aug. 16, 2023

Abstract Hepatocellular carcinoma (HCC) represents a formidable malignancy with high lethality. Nonetheless, the development of vaccine and establishment prognostic models for precise personalized treatment HCC still encounter big challenges. Thus, aim this study was to develop vaccines explore anoikis-based based on RNA sequencing data in GEO datasets (GSE10143, GSE76427) TCGA-LIHC cohort. Potential antigens were identified using GEPIA2, cBioPortal, TIMER2. Anoikis-related subtypes gene clusters defined by consensus clustering 566 liver cancer samples 28 anoikis regulators, we further analyzed their relationship immune microenvironment HCC. A predictive model anoikis-related long noncoding RNAs (lncRNAs) developed accurately predict prognosis. Seven overexpressed genes associated prognosis tumor-infiltrating antigen-presenting cells as potential tumor mRNA vaccines. Two (ARGs) two different characteristics validated cohorts. The between showed cell infiltration molecular characteristics. Furthermore, score seven lncRNAs LASSO regression constructed, low-risk group having favorable prognosis, “hot” microenvironment, better response immunotherapy. CCNB1, CDK1, DNASE1L3, KPNA2, PRC1, PTTG, UBE2S first promising Besides, innovatively propose subtypes, which not only enable stratification patients but also provide blueprint identifying optimal candidates vaccines, enhancing immunotherapeutic strategies.

Language: Английский

Citations

0

Anoikis Patterns in Cervical Cancer: Identification of Subgroups and Construction of a Novel Risk Model for Predicting Prognosis and Immune Response DOI Creative Commons

Xuesong Xiang,

Jingxin Ding

Frontiers in Bioscience-Landmark, Journal Year: 2023, Volume and Issue: 28(11), P. 287 - 287

Published: Nov. 8, 2023

Background: Cervical cancer has high morbidity and intratumor heterogeneity. Anoikis, a form of programmed cell death preventing detached cells from readhering, may serve as potential prognostic signature for cervical cancer. This study aimed to assess the predictive performance anoikis patterns in prognosis. Methods: Differentially expressed anoikis-related genes (DEARGs) were identified between normal samples using data Gene Expression Omnibus database with elucidation mutation status bio-function. Novel molecular subtypes defined The Cancer Genome Atlas (TCGA) cohort consensus clustering analysis. A multigene was constructed through least absolute shrinkage selection operator (LASSO) Cox analysis internal external validation. nomogram-based survival probability over 3 5 years predicted assessed calibration, receiver operating characteristic, decision curve analysis, Kaplan-Meier curves. Additionally, mutation, function, immune conducted among different risk groups. Results: We 77 DEARGs tissues explored their functions. TCGA could be categorized into two based on these genes. Furthermore, seven constructed, nomogram involving clinicopathological characteristics showed satisfactory performance. Functional indicated that immune-related enriched, status, well sensitivity chemotherapies targeting drugs, correlated model. Conclusions: Anoikis play important roles tumor immunity can used predict prognosis cancers.

Language: Английский

Citations

0