MALAT1: A key regulator in lung cancer pathogenesis and therapeutic targeting

AA Bhat, O Afzal, M Afzal, G Gupta, R Thapa… - … -Research and Practice, 2023 - Elsevier
Lung cancer remains a formidable global health burden, necessitating a comprehensive
understanding of the underlying molecular mechanisms driving its progression. Recently …

Comparing DESI-MSI and MALDI-MSI mediated spatial metabolomics and their applications in cancer studies

MJ He, W Pu, X Wang, W Zhang, D Tang… - Frontiers in …, 2022 - frontiersin.org
Metabolic heterogeneity of cancer contributes significantly to its poor treatment outcomes
and prognosis. As a result, studies continue to focus on identifying new biomarkers and …

Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology

T Hu, M Allam, S Cai, W Henderson, B Yueh… - Nature …, 2023 - nature.com
Metabolic reprogramming in cancer and immune cells occurs to support their increasing
energy needs in biological tissues. Here we propose Single Cell Spatially resolved …

Mechanisms of resistance to chemotherapy in non-small cell lung cancer

HY Min, HY Lee - Archives of pharmacal research, 2021 - Springer
Non-small cell lung cancer (NSCLC), which represents 80–85% of lung cancer cases, is one
of the leading causes of human death worldwide. The majority of patients undergo an …

Current landscape of therapeutic resistance in lung cancer and promising strategies to overcome resistance

A Ashrafi, Z Akter, P Modareszadeh, P Modareszadeh… - Cancers, 2022 - mdpi.com
Simple Summary Despite an initial response to therapy, many lung cancer patients
inevitably develop resistance to therapy leading to decreased duration of response and …

Mitochondrial CPT1A: Insights into structure, function, and basis for drug development

K Liang - Frontiers in pharmacology, 2023 - frontiersin.org
Carnitine Palmitoyl-Transferase1A (CPT1A) is the rate-limiting enzyme in the fatty acid β-
oxidation, and its deficiency or abnormal regulation can result in diseases like metabolic …

Omics-based deep learning approaches for lung cancer decision-making and therapeutics development

TO Tran, TH Vo, NQK Le - Briefings in Functional Genomics, 2024 - academic.oup.com
Lung cancer has been the most common and the leading cause of cancer deaths globally.
Besides clinicopathological observations and traditional molecular tests, the advent of …

[HTML][HTML] DNA methylation in lung cancer patients: Opening a" window of life" under precision medicine

R Liang, X Li, W Li, X Zhu, C Li - Biomedicine & Pharmacotherapy, 2021 - Elsevier
DNA methylation is a work of adding a methyl group to the 5th carbon atom of cytosine in
DNA sequence under the catalysis of DNA methyltransferase (DNMT) to produce 5-methyl …

Reprogramming of lipid metabolism in lung cancer: An overview with focus on EGFR-Mutated non-small cell lung cancer

K Eltayeb, S La Monica, M Tiseo, R Alfieri, C Fumarola - Cells, 2022 - mdpi.com
Lung cancer is the leading cause of cancer deaths worldwide. Most of lung cancer cases are
classified as non-small cell lung cancers (NSCLC). EGFR has become an important …

Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …