Related Experiment Video
Updated: Jul 5, 2025

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
Published on: December 26, 2016
H2S-Synthesizing Enzymes Are Putative Determinants in Lung Cancer Management toward Personalized Medicine
Ana Hipólito1,2, Cindy Mendes1,2, Filipa Martins1,2
1iNOVA4Health, NOVA Medical School, 1150-069 Lisbon, Portugal.
Abstract:
Lung cancer is a lethal disease with no truly efficient therapeutic management despite the progresses, and metabolic profiling can be a way of stratifying patients who may benefit from new therapies. The present study is dedicated to profiling cysteine metabolic pathways in NSCLC cell lines and tumor samples. This was carried out by analyzing hydrogen sulfide (H2S) and ATP levels, examining mRNA and protein expression patterns of cysteine catabolic enzymes and transporters, and conducting metabolomics analysis using nuclear magnetic resonance (NMR) spectroscopy. Selenium-chrysin (SeChry) was tested as a therapeutic alternative with the aim of having an effect on cysteine catabolism and showed promising results. NSCLC cell lines presented different cysteine metabolic patterns, with A549 and H292 presenting a higher reliance on cystathionine β-synthase (CBS) and cystathionine γ-lyase (CSE) to maintain H2S levels, while the PC-9 cell line presented an adaptive behavior based on the use of mercaptopyruvate sulfurtransferase (MST) and cysteine dioxygenase (CDO1), both contributing to the role of cysteine as a pyruvate source. The analyses of human lung tumor samples corroborated this variability in profiles, meaning that the expression of certain genes may be informative in defining prognosis and new targets. Heterogeneity points out individual profiles, and the identification of new targets among metabolic players is a step forward in cancer management toward personalized medicine.
Insights
Lung cancer patients show varied cysteine metabolism, impacting treatment strategies. Understanding these metabolic profiles, including hydrogen sulfide (H2S) production, aids in developing personalized therapies for non-small cell lung cancer (NSCLC).
Area of Science:
- Oncology
- Biochemistry
- Metabolomics
Background:
- Lung cancer remains a significant health challenge with limited therapeutic options.
- Metabolic profiling offers a potential avenue for patient stratification and identifying novel treatment targets.
- Cysteine metabolism plays a crucial role in cellular processes and cancer progression.
Purpose of the Study:
- To profile cysteine metabolic pathways in non-small cell lung cancer (NSCLC) cell lines and tumor samples.
- To investigate the role of specific enzymes and transporters in cysteine catabolism and hydrogen sulfide (H2S) production.
- To evaluate selenium-chrysin (SeChry) as a potential therapeutic agent targeting cysteine metabolism.
Main Methods:
- Analysis of hydrogen sulfide (H2S) and ATP levels.
- Examination of mRNA and protein expression of cysteine catabolic enzymes and transporters.
- Metabolomics analysis using nuclear magnetic resonance (NMR) spectroscopy.
- Assessment of selenium-chrysin (SeChry) efficacy.
Main Results:
- NSCLC cell lines exhibit distinct cysteine metabolic patterns.
- A549 and H292 cell lines rely on cystathionine β-synthase (CBS) and cystathionine γ-lyase (CSE) for H2S maintenance.
- PC-9 cell line utilizes mercaptopyruvate sulfurtransferase (MST) and cysteine dioxygenase (CDO1) for cysteine-to-pyruvate conversion.
- Human lung tumor samples confirm metabolic heterogeneity.
- Selenium-chrysin (SeChry) demonstrated promising therapeutic effects.
Conclusions:
- Cysteine metabolic heterogeneity is a key feature of NSCLC.
- Specific metabolic enzyme expression can inform prognosis and identify therapeutic targets.
- Targeting cysteine metabolism represents a promising strategy for personalized lung cancer medicine.
More Related Videos
08:29SUMO-Binding Entities SUBEs as Tools for the Enrichment, Isolation, Identification, and Characterization of the SUMO Proteome in Liver Cancer
Published on: November 1, 2019
13:34A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Related Concept Videos
Adaptive Mechanisms in Cancer Cells
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Targeted Cancer Therapies
There are several types of targeted therapies against...
Loss of Tumor Suppressor Gene Functions
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...