Results 31 to 40 of about 5,665,898 (300)
MicroRNAs in Molecular Classification and Pathogenesis of Breast Tumors
, 2021 The current clinical practice of breast tumor classification relies on the routine immunohistochemistry-based expression analysis of hormone receptors, which is inadequate in addressing breast tumor heterogeneity and drug resistance.
Róisín M. Dwyer +6 more
core +1 more source
Frontiers in Oncology, 2021 Alternative splicing (AS) of pre-mRNA has been widely reported to be associated with the progression of malignant tumors. However, a systematic investigation into the prognostic value of AS events in glioblastoma (GBM) is urgently required.
Liang Zhao +5 more
doaj +1 more source
Links Between N6-Methyladenosine and Tumor Microenvironments in Colorectal Cancer
Frontiers in Cell and Developmental Biology, 2022 N6-methyladenosine (m6A) is a critical epigenetic modification for tumor malignancies, but its role in regulating the tumor microenvironments (TMEs) has not been fully studied.
Yundi Zhang +7 more
doaj +1 more source
Clinical and molecular classification of cardiomyopathies
Global Cardiology Science and Practice, 2012 The term "cardiomyopathies" was used for the first time 55 years ago, in 1957. Since then awareness and knowledge of this important and complex group of heart muscle diseases have improved substantially. Over these past five decades a large number of definitions, nomenclature and schemes, have been advanced by experts and consensus panel, which reflect
Franco Cecchi +2 more
openaire +3 more sources
Erythroleukemia: Classification
eJHaem, 2023 Acute erythroid leukemia (AEL) is a rare (2%–5%) form of acute myeloid leukemia (AML). Molecular alterations found in AEL resemble those of other AMLs. We report a classification of AELs in three major classes, with different prognosis and some specific ...
Nathalie Cervera +8 more
doaj +1 more source
P-Prism: a computationally efficient approach to scaling up classification rule induction [PDF]
, 2008 Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unseen data.
Frederic T. Stahl +8 more
core +1 more source
Identification of Potential Driver Genes Based on Multi-Genomic Data in Cervical Cancer
Frontiers in Genetics, 2021 Background: Cervical cancer became the third most common cancer among women, and genome characterization of cervical cancer patients has revealed the extensive complexity of molecular alterations.
Yuexun Xu +3 more
doaj +1 more source
The molecular classification of astrocytic tumors [PDF]
Oncotarget, 2017 This study will explore the genetic and epigenetic alterations in astrocytomas, and identify the critical molecular signatures and signaling pathways for prognosis assessment by multiplatform comprehensive analysis.We performed integration analyses of incorporating DNA methylation, mRNA expression, microRNA expression, and long non-coding RNA (lncRNA ...
Mao, Chen-Xue +13 more
openaire +2 more sources
Glioblastoma Molecular Classification Tool Based on mRNA Analysis: From Wet-Lab to Subtype
, 2022 Most glioblastoma studies incorporate the layer of tumor molecular subtype based on the four-subtype classification system proposed in 2010. Nevertheless, there is no universally recognized and convenient tool for glioblastoma molecular subtyping, and ...
Giedrius Steponaitis +9 more
core +1 more source
Up-to-date Knowledge on the Pathological Diagnosis of Hepatocellular Carcinoma
The Korean Journal of Gastroenterology, 2021 Hepatocellular carcinoma (HCC) has heterogeneous molecular and pathological features and biological behavior. Large-scale genetic studies of HCC were accumulated, and a pathological-molecular classification of HCC was proposed. Approximately 35% of HCCs
Ji Hae Nahm, Young Nyun Park
doaj +1 more source