Evidence map›Paper›PMID 25998313›Full record

ArticleCancer microenvironment : official journal of the International Cancer Microenvironment Society2015

Evaluation of a hypoxia regulated gene panel in ovarian cancer.

Amanda F Baker, Scott W Malm, Ritu Pandey, Cindy Laughren, Haiyan Cui, Denise Roe, Setsuko K Chambers

Open access · bronzeAbstract read
In one paragraph

Article in Cancer microenvironment : official journal of the International Cancer Microenvironment Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Amanda F BakerUniversity of Arizona Cancer Center and College of Medicine, Tucson, Arizona, abaker@uacc.arizona.edu.
Scott W Malm
Ritu Pandey
Cindy Laughren
Haiyan Cui
Denise Roe
Setsuko K Chambers
University of Arizona · USUniversity of Arizona Cancer Center

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Training in Environmental Toxicology of Human DiseaseT32ES007091 · NIEHS · UNIVERSITY OF ARIZONA · PI Nathan J Cherrington · 1985 to 2026
$10.7M
Imaging Biomarkers for Response to Anti-Cancer TherapyR01CA125627 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI BAKER, AMANDA F, GILLIES, ROBERT J. · 2008 to 2012
$1.7M
NCI NIH HHS P30 CA023074NCI NIH HHS R01 CA125627NIEHS NIH HHS T32 ES007091
6 · The paper itself

Abstract

A panel of nine hypoxia regulated genes, selected from a previously published fifty gene panel, was investigated for its ability to predict hypoxic ovarian cancer phenotypes. All nine genes including vascular endothelial growth factor A, glucose transporter 1, phosphoglycerate mutase 1, lactate dehydrogenase A, prolyl 4-hydroxylase, alpha-polypeptide 1, adrenomedullin, N-myc downstream regulated 1, aldolase A, and carbonic anhydrase 9 were upregulated in the HEY and OVCAR-3 human ovarian cell lines cultured in vitro under hypoxic compared to normoxic conditions as measured by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The gene panel was also elevated in HEY xenograft tumor tissue compared to HEY cells cultured in normoxia. The HEY xenograft tissue demonstrated heterogeneous positive immunohistochemical staining for the exogenous hypoxia biomarker pimonidazole, and the hypoxia regulated protein carbonic anhydrase IX. A quantitative nuclease protection assay (qNPA) was developed which included the nine hypoxia regulated genes. The qNPA assay provided similar results to those obtained using qRT-PCR for cultured cell lines. The qNPA assay was also evaluated using paraffin embedded fixed tissues including a set of five patient matched primary and metastatic serous cancers and four normal ovaries. In this small sample set the average gene expression was higher in primary and metastatic cancer tissue compared to normal ovaries for the majority of genes investigated. This study supports further evaluation by qNPA of this gene panel as an alternative or complimentary method to existing protein biomarkers to identify ovarian cancers with a hypoxic phenotype.

Identifiers

PMID25998313
PMCPMC4449346
OpenAlexW634050269

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.