Coumarins and coumarin-related compounds in pharmacotherapy of cancer

E Küpeli Akkol, Y Genç, B Karpuz, E Sobarzo-Sánchez… - Cancers, 2020 - mdpi.com
Cancer is one of the most common causes of disease-related deaths worldwide. Despite the
discovery of many chemotherapeutic drugs that inhibit uncontrolled cell division processes …

[HTML][HTML] Biological subtypes of breast cancer: Prognostic and therapeutic implications

O Yersal, S Barutca - World journal of clinical oncology, 2014 - ncbi.nlm.nih.gov
Breast cancer is a heterogeneous complex of diseases, a spectrum of many subtypes with
distinct biological features that lead to differences in response patterns to various treatment …

The emerging role of miRNA clusters in breast cancer progression

A Kandettu, R Radhakrishnan, S Chakrabarty… - … et Biophysica Acta (BBA …, 2020 - Elsevier
Micro RNAs (miRNAs) are small non-coding RNAs that are essential for regulation of gene
expression of the target genes. Large number of miRNAs are organized into defined units …

[HTML][HTML] Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search …

V Elyasigomari, DA Lee, HRC Screen… - Journal of biomedical …, 2017 - Elsevier
For each cancer type, only a few genes are informative. Due to the so-called 'curse of
dimensionality'problem, the gene selection task remains a challenge. To overcome this …

[HTML][HTML] Molecular classification and prediction in gastric cancer

X Lin, Y Zhao, W Song, B Zhang - Computational and structural …, 2015 - Elsevier
Gastric cancer, a highly heterogeneous disease, is the second leading cause of cancer
death and the fourth most common cancer globally, with East Asia accounting for more than …

[HTML][HTML] Aloe-emodin as drug candidate for cancer therapy

N Özenver, M Saeed, LÖ Demirezer, T Efferth - Oncotarget, 2018 - ncbi.nlm.nih.gov
As a leading cause of global mortality, cancer frequently cannot be cured due to the
development of drug resistance. Therefore, novel drugs are required. Naturally occurring …

Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer

J Gal, C Bailleux, D Chardin, T Pourcher… - Computational and …, 2020 - Elsevier
Genomics and transcriptomics have led to the widely-used molecular classification of breast
cancer (BC). However, heterogeneous biological behaviors persist within breast cancer …

Deep‐learning‐based cancer profiles classification using gene expression data profile

HZ Almarzouki - Journal of Healthcare Engineering, 2022 - Wiley Online Library
The quantity of data required to give a valid analysis grows exponentially as machine
learning dimensionality increases. In a single experiment, microarrays or gene expression …

From cancer big data to treatment: Artificial intelligence in cancer research

Danishuddin, S Khan, JJ Kim - The journal of gene medicine, 2024 - Wiley Online Library
In recent years, developing the idea of “cancer big data” has emerged as a result of the
significant expansion of various fields such as clinical research, genomics, proteomics and …

Mutations in EGFR, BRAF and RAS are rare in triple-negative and basal-like breast cancers from Caucasian women

E Tilch, T Seidens, S Cocciardi, LE Reid… - Breast cancer research …, 2014 - Springer
Basal-like and triple-negative breast cancers usually display a high level of genomic
instability and often carry TP53 mutations. Mutations in EGFR have been reported in about …