MRPL15 is a novel prognostic biomarker and therapeutic target for epithelial ovarian cancer

H Xu, R Zou, F Li, J Liu, N Luan, S Wang… - Cancer …, 2021 - Wiley Online Library
Purpose To analyze the role of six human epididymis protein 4 (HE4)‐related mitochondrial
ribosomal proteins (MRPs) in ovarian cancer and selected MRPL15, which is most closely …

ToMExO: A probabilistic tree-structured model for cancer progression

M Mohaghegh Neyshabouri… - PLOS Computational …, 2022 - journals.plos.org
Identifying the interrelations among cancer driver genes and the patterns in which the driver
genes get mutated is critical for understanding cancer. In this paper, we study cross …

A computational study on the role of parameters for identification of thyroid nodules by infrared images (and comparison with real data)

JR González, C Damião, M Moran, CA Pantaleão… - Sensors, 2021 - mdpi.com
According to experts and medical literature, healthy thyroids and thyroids containing benign
nodules tend to be less inflamed and less active than those with malignant nodules. It seems …

[HTML][HTML] A latent variable model for evaluating mutual exclusivity and co-occurrence between driver mutations in cancer

A Shuaibi, U Chitra, BJ Raphael - bioRxiv, 2024 - ncbi.nlm.nih.gov
A key challenge in cancer genomics is understanding the functional relationships and
dependencies between combinations of somatic mutations that drive cancer development …

Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories

AM Cifuentes-Bernal, VVH Pham, X Li… - Briefings in …, 2022 - academic.oup.com
The traditional way for discovering genes which drive cancer (namely cancer drivers)
neglects the dynamic information of cancer development, even though it is well known that …

MUM1L1 as a Tumor Suppressor and Potential Biomarker in Ovarian Cancer: Evidence from Bioinformatics Analysis and Basic Experiments

L Zhang, X Wu, X Fan, H Ai - Combinatorial Chemistry & High …, 2023 - ingentaconnect.com
Background: Ovarian cancer (OC) is the most prevalent gynecologic malignancy, with high
mortality rates. However, its pathogenesis remains unclear. The current study aimed to …

Predicting Tumor Genome Evolution in Colorectal Cancer with Neural Networks

T Järvinen - 2024 - aaltodoc.aalto.fi
Human genetic information, encoded in DNA, dictates crucial processes such as the
synthesis of RNA and proteins. Mutations, influenced by factors like neighboring bases and …

C-ToMExO: Learning Cancer Progression Dynamics from Clonal Composition of Tumors

MM Neyshabouri, S Dimitrakopoulou, J Lagergren - bioRxiv, 2022 - biorxiv.org
Cancer is an evolutionary process involving the accumulation of somatic mutations in the
genome. The tumor's evolution is known to be highly influenced by specific somatic …

C-ToMExO: Learning Cancer Progression Dynamics from Clonal Composition of Tumors

M Mohaghegh Neyshabouri, S Dimitrakopoulou… - 2023 - diva-portal.org
Cancer is an evolutionary process involving the accumulation of somatic mutations in the
genome. The tumor's evolution is known to be highly influenced by specific somatic …

[HTML][HTML] Inter and intra-tumor models of somatic evolution in cancer

M Mohaghegh Neyshabouri - 2023 - diva-portal.org
Cancer is a disease caused by the accumulation of somatic mutations in an evolutionary
process. Mutations in so-called cancer driver genes provide the harboring cells with …