Gene expression alterations in hypoxic A549 lung cancer cell line

Human non-small cell lung cancer (NSCLC)is a very common disease with limited treatment options. Hypoxia is a characteristic feature of solid tumors associated with the resistance of cancer cells to radiotherapy and chemotherapy. Therefore, the expression changes in cancer-resistance genes may be biomarkers of hypoxia with value in targeted therapy. The aim of the present study was to examine the effect of hypoxia on gene expression and the changes that occur in relation to drug resistance in a human NSCLC cell line (A549). A549 cells were exposed to 72-h hypoxic episodes (<1% oxygen) for a total of 10 episodes (acute). The alterations in gene expression were examined using PCR array technology after 10 episodes of acute hypoxia and compared with normoxic cells. The chemoresistance of hypoxic cells toward doxorubicin was measured using a MTT cell proliferation assay. A549 cells were affected by acute hypoxia leading to induced doxorubicin chemoresistance. Evident changes in the gene expression level were identified following episodes of acute hypoxia. The most important changes occurred in the estrogen receptor 1 (ESR1) and Finkel-Biskis-Jinkins osteosarcoma (FOS) pathways and in different nucleic transcription factors such as aryl hydrocarbon receptor and cyclin-dependent kinase inhibitor. The present study showed that exposing cells to prolonged periods of hypoxia results in different gene expression changes. There was induction of chemo-resistance due to acute hypoxia. ESR1 and c-FOS are proposed as a potential hypoxia genes in lung cancer.

Authors

Institutions

Publication Details

Journal
Biomedical Reports
Published
2024-10-04
DOI
https://doi.org/10.3892/br.2024.1871
Citations
1
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gene expression alterations in hypoxic A549 lung cancer cell line

Mohammad Al Shhab, Nafez Abu Tarboush, Rania Abualnadi, Malek Zihlif
1 citations
Biomedical Reports
Cancer, Hypoxia, and Metabolism
0.29
article

Gene expression alterations in hypoxic A549 lung cancer cell line

Mohammad Al Shhab, Nafez Abu Tarboush, Rania Abualnadi, Malek Zihlif
article en
1 citations

Abstract

Human non-small cell lung cancer (NSCLC)is a very common disease with limited treatment options. Hypoxia is a characteristic feature of solid tumors associated with the resistance of cancer cells to radiotherapy and chemotherapy. Therefore, the expression changes in cancer-resistance genes may be biomarkers of hypoxia with value in targeted therapy. The aim of the present study was to examine the effect of hypoxia on gene expression and the changes that occur in relation to drug resistance in a human NSCLC cell line (A549). A549 cells were exposed to 72-h hypoxic episodes (<1% oxygen) for a total of 10 episodes (acute). The alterations in gene expression were examined using PCR array technology after 10 episodes of acute hypoxia and compared with normoxic cells. The chemoresistance of hypoxic cells toward doxorubicin was measured using a MTT cell proliferation assay. A549 cells were affected by acute hypoxia leading to induced doxorubicin chemoresistance. Evident changes in the gene expression level were identified following episodes of acute hypoxia. The most important changes occurred in the estrogen receptor 1 (ESR1) and Finkel-Biskis-Jinkins osteosarcoma (FOS) pathways and in different nucleic transcription factors such as aryl hydrocarbon receptor and cyclin-dependent kinase inhibitor. The present study showed that exposing cells to prolonged periods of hypoxia results in different gene expression changes. There was induction of chemo-resistance due to acute hypoxia. ESR1 and c-FOS are proposed as a potential hypoxia genes in lung cancer.

Biomedical ReportsVol. 21(6)
University of Jordan (JO)
University of Jordan, Deanship of Scientific Research, University of Jordan
Good health and well-being
Openalex Percentile: Top 39%
Cancer, Hypoxia, and Metabolism
0.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.