LncRNAs and CircRNAs in cancer

X Yin, H Lin, L Lin, L Miao, J He, Z Zhuo - MedComm, 2022 - Wiley Online Library
It is well known that noncoding RNAs (ncRNAs) cannot encode proteins, but they can play
important regulatory roles in tumors by combining with proteins, RNAs, and DNAs. As more …

[HTML][HTML] Emerging roles and potential applications of non-coding RNAs in glioblastoma

C DeOcesano-Pereira, RAC Machado… - International journal of …, 2020 - mdpi.com
Non-coding RNAs (ncRNAs) comprise a diversity of RNA species, which do not have the
potential to encode proteins. Non-coding RNAs include two classes of RNAs, namely: short …

[HTML][HTML] Artificial intelligence-driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction

SY Sathipati, MJ Tsai, SK Shukla, SY Ho - Human Genetics and Genomics …, 2023 - cell.com
The ability to detect cancer at an early stage in patients who would benefit from effective
therapy is a key factor in increasing survivability. This work proposes an evolutionary …

[HTML][HTML] Novel miRNA signature for predicting the stage of hepatocellular carcinoma

S Yerukala Sathipati, SY Ho - Scientific reports, 2020 - nature.com
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer deaths worldwide.
Recently, microRNAs (miRNAs) are reported to be altered and act as potential biomarkers in …

[HTML][HTML] MicroRNA signature for estimating the survival time in patients with bladder urothelial carcinoma

S Yerukala Sathipati, MJ Tsai, SK Shukla, SY Ho… - Scientific reports, 2022 - nature.com
Bladder urothelial carcinoma (BLC) is one of the most common cancers in men, and its
heterogeneity challenges the treatment to cure this disease. Recently, microRNAs (miRNAs) …

[HTML][HTML] Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

TT Huang, YC Lin, CH Yen, J Lan, CC Yu, WC Lin… - Cancer Imaging, 2023 - Springer
Background Extranodal extension (ENE) in head and neck squamous cell carcinoma
(HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning …

[HTML][HTML] Evolutionary learning-derived clinical-radiomic models for predicting early recurrence of hepatocellular carcinoma after resection

I Lee, JY Huang, TC Chen, CH Yen, NC Chiu… - Liver cancer, 2021 - karger.com
Abstract Background and Aims: Current prediction models for early recurrence of
hepatocellular carcinoma (HCC) after surgical resection remain unsatisfactory. The aim of …

Prognostic microRNA signature for estimating survival in patients with hepatocellular carcinoma

S Yerukala Sathipati, N Aimalla, MJ Tsai… - …, 2023 - academic.oup.com
Objective Hepatocellular carcinoma (HCC) is one of the leading cancer types with
increasing annual incidence and high mortality in the USA. MicroRNAs (miRNAs) have …

[HTML][HTML] Identification of long non-coding RNA expression profiles and co-expression genes in thyroid carcinoma based on the cancer genome atlas (TCGA) database

Y Zhang, T Jin, H Shen, J Yan, M Guan… - Medical science monitor …, 2019 - ncbi.nlm.nih.gov
Background Thyroid carcinoma is a malignancy with high morbidity and mortality. Genetic
alterations play pivot roles in the pathogenesis of thyroid carcinoma, where long noncoding …

[HTML][HTML] Identification of the miRNA signature associated with survival in patients with ovarian cancer

SY Sathipati, SY Ho - Aging (Albany NY), 2021 - ncbi.nlm.nih.gov
Ovarian cancer is a major gynaecological malignant tumor associated with a high mortality
rate. Identifying survival-related variants may improve treatment and survival in patients with …