Inter-tumor heterogeneity might explain divergent clinical evolution of cancers bearing similar pathological features. In the last decade, genomic has highly improved tumor subtypes classification through the identification of oncogenic or tumor suppressor drivers. In addition, epigenetics and long non-coding RNAs (lncRNAs) are emerging as new fields for investigation, which might also account for tumor heterogeneity. There is growing evidence that modifications of lncRNA expression profiles are involved in cancer progression through epigenetic regulation, activation of pro-oncogenic pathways and crosstalks with other RNA subtypes. Consequently, the study of lncRNA expression profile will be a key factor in the future for charting cancer subtype classifications as well as defining prognostic and progression biomarkers. Herein we discuss the interest of lncRNA as potent prognostic and predictive biomarkers, and provide a glimpse on the impact of emerging cancer subtypes classification based on lncRNAs.
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http://dx.doi.org/10.18632/oncotarget.10213 | DOI Listing |
Am J Obstet Gynecol MFM
January 2025
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, 231 Albert Sabin Way, Cincinnati, Ohio 45267, USA. Electronic address:
Background: Chronic kidney disease is a significant cause of adverse obstetric outcomes. However, there are few studies assessing the risk of severe maternal morbidity and mortality among patients with chronic kidney disease and no studies assessing the association between individual indicators of severe maternal morbidity and chronic kidney disease.
Objective: To evaluate the risk of severe maternal morbidity and mortality among pregnant patients with chronic kidney disease.
Hum Immunol
January 2025
Department of Urology, Jiaxing Second Hospital, Jiaxing 314000, China. Electronic address:
Previous studies have revealed the essential role of lysosomes in human diseases, including cancer. However, there is a lack of in-depth systematic research on its function in kidney renal clear cell carcinoma (KIRC). In this project, we collected the public dataset of KIRC and selected lysosomal genes tightly linked with survival.
View Article and Find Full Text PDFBreast
January 2025
Department of Radiation Oncology, Xiamen Cancer Quality Control Center, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China. Electronic address:
Purpose: To investigate the clinical value of Clinical Treatment Score Post-5 Years (CTS5) to predict the survival benefits of postmastectomy radiotherapy (PMRT) of patients with T1-2N1 luminal breast cancer (BC).
Methods: Patients who were diagnosed with T1-2N1 luminal BC between 2010 and 2015 were included in the Surveillance, Epidemiology, and End Results database. The chi-square test, binomial logistic regression, Kaplan-Meier analysis, and multivariable Cox proportional hazard model were used for statistical analyses.
Sci Rep
January 2025
College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, China.
Hepatic cystic echinococcosis (HCE), a life-threatening liver disease, has 5 subtypes, i.e., single-cystic, polycystic, internal capsule collapse, solid mass, and calcified subtypes.
View Article and Find Full Text PDFCogn Affect Behav Neurosci
January 2025
Departamento de Psicología ClínicaPsicobiología y MetodologíaFacultad de Psicología, Universidad de La Laguna, La Laguna, 38200, Tenerife, Spain.
Small animal phobia (SAP) is a subtype of specific phobia characterized by an intense and irrational fear of small animals, which has been underexplored in the neuroscientific literature. Previous studies often faced limitations, such as small sample sizes, focusing on only one neuroimaging modality, and reliance on univariate analyses, which produced inconsistent findings. This study was designed to overcome these issues by using for the first time advanced multivariate machine-learning techniques to identify the neural mechanisms underlying SAP.
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