Literature DB >> 20429727

Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro.

Brita Singers Sørensen1, Kasper Toustrup, Michael R Horsman, Jens Overgaard, Jan Alsner.   

Abstract

BACKGROUND: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia makers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH(e)).
METHODS: Five different human cell lines (SiHa, FaDu(DD), UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array).
RESULTS: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups "Normal oxygen, normal pH", "Low oxygen, normal pH", "Normal oxygen, low pH" and "Low oxygen, low pH". From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verification by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profiles. To specifically select pH independent hypoxia regulated genes across more cell lines, data for FaDu(DD), UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not significantly induced by low pH alone. Each cell line had 65-122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines.
CONCLUSION: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.

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Year:  2010        PMID: 20429727     DOI: 10.3109/02841861003614343

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  28 in total

Review 1.  Hypoxia gene expression signatures as predictive biomarkers for personalising radiotherapy.

Authors:  Lingjian Yang; Catharine Ml West
Journal:  Br J Radiol       Date:  2018-03-20       Impact factor: 3.039

2.  Inhibition of N-Myc down regulated gene 1 in in vitro cultured human glioblastoma cells.

Authors:  Harun M Said; Buelent Polat; Susanne Stein; Mathias Guckenberger; Carsten Hagemann; Adrian Staab; Astrid Katzer; Jelena Anacker; Michael Flentje; Dirk Vordermark
Journal:  World J Clin Oncol       Date:  2012-07-10

3.  Modelling of hypoxia gene expression for three different cancer cell lines.

Authors:  Babak Soltanalizadeh; Erika Gonzalez Rodriguez; Vahed Maroufy; W Jim Zheng; Hulin Wu
Journal:  Int J Comput Biol Drug Des       Date:  2020-02-07

4.  Integration of Genomic and Transcriptional Features in Pancreatic Cancer Reveals Increased Cell Cycle Progression in Metastases.

Authors:  Ashton A Connor; Robert E Denroche; Gun Ho Jang; Mathieu Lemire; Amy Zhang; Michelle Chan-Seng-Yue; Gavin Wilson; Robert C Grant; Daniele Merico; Ilinca Lungu; John M S Bartlett; Dianne Chadwick; Sheng-Ben Liang; Jenna Eagles; Faridah Mbabaali; Jessica K Miller; Paul Krzyzanowski; Heather Armstrong; Xuemei Luo; Lars G T Jorgensen; Joan M Romero; Prashant Bavi; Sandra E Fischer; Stefano Serra; Sara Hafezi-Bakhtiari; Derin Caglar; Michael H A Roehrl; Sean Cleary; Michael A Hollingsworth; Gloria M Petersen; Sarah Thayer; Calvin H L Law; Sulaiman Nanji; Talia Golan; Alyssa L Smith; Ayelet Borgida; Anna Dodd; David Hedley; Bradly G Wouters; Grainne M O'Kane; Julie M Wilson; George Zogopoulos; Faiyaz Notta; Jennifer J Knox; Steven Gallinger
Journal:  Cancer Cell       Date:  2019-01-24       Impact factor: 31.743

5.  Reconstruction and Analysis of the Immune-Related LINC00987/A2M Axis in Lung Adenocarcinoma.

Authors:  Jiakang Ma; Xiaoyan Lin; Xueting Wang; Qingqing Min; Tonglian Wang; Chaozhi Tang
Journal:  Front Mol Biosci       Date:  2021-04-27

6.  Metabolic classification of bladder cancer based on multi-omics integrated analysis to predict patient prognosis and treatment response.

Authors:  Chaozhi Tang; Meng Yu; Jiakang Ma; Yuyan Zhu
Journal:  J Transl Med       Date:  2021-05-13       Impact factor: 5.531

7.  Hypoxia-induced alternative splicing in endothelial cells.

Authors:  Julia E Weigand; Jes-Niels Boeckel; Pascal Gellert; Stefanie Dimmeler
Journal:  PLoS One       Date:  2012-08-02       Impact factor: 3.240

8.  In vivo identification and specificity assessment of mRNA markers of hypoxia in human and mouse tumors.

Authors:  Morten Busk; Kasper Toustrup; Brita S Sørensen; Jan Alsner; Michael R Horsman; Steen Jakobsen; Jens Overgaard
Journal:  BMC Cancer       Date:  2011-02-09       Impact factor: 4.430

9.  Refinement of an Established Procedure and Its Application for Identification of Hypoxia in Prostate Cancer Xenografts.

Authors:  Pernille B Elming; Thomas R Wittenborn; Morten Busk; Brita S Sørensen; Mathilde Borg Houlberg Thomsen; Trine Strandgaard; Lars Dyrskjøt; Steffen Nielsen; Michael R Horsman
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

10.  A novel hypoxia gene signature indicates prognosis and immune microenvironments characters in patients with hepatocellular carcinoma.

Authors:  Qiangnu Zhang; Lijun Qiao; Juan Liao; Quan Liu; Pengyu Liu; Liping Liu
Journal:  J Cell Mol Med       Date:  2021-02-22       Impact factor: 5.310

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