Evidence map›Paper›PMID 28740577›Full record

ArticleGenes & cancer2017

EGFR as a prognostic biomarker and therapeutic target in ovarian cancer: evaluation of patient cohort and literature review.

Christine Mehner, Ann L Oberg, Krista M Goergen, Kimberly R Kalli, Matthew J Maurer, Aziza Nassar, Ellen L Goode, Gary L Keeney, Aminah Jatoi, Derek C Radisky and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Genes & cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Liposomal delivery of gene therapy for ovarian cancer: a systematic review.Reproductive biology and endocrinology : RB&E · 2023
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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

11 authors at 2 institutions in 1 country.

Christine MehnerDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Ann L ObergDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Krista M GoergenDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Kimberly R KalliDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Matthew J MaurerDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Aziza NassarDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL, USA.
Ellen L GoodeDepartment of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA.
Gary L KeeneyDepartment of Laboratory Medicine and Pathology, Division of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
Aminah JatoiDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Derek C RadiskyDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Evette S RadiskyDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
Mayo Clinic in Florida · USMayo Clinic in Arizona · US

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
Inhibiting serine protease-induced prostate cancer progressionR01CA154387 · NCI · MAYO CLINIC JACKSONVILLE · PI RADISKY, EVETTE S · 2013 to 2017
$1.6M
Defining SPINK1 as a tumor driver and therapeutic target in ovarian cancerR21CA177865 · NCI · MAYO CLINIC JACKSONVILLE · PI RADISKY, EVETTE S · 2013 to 2014
$385k
NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA122443NCI NIH HHS R01 CA154387NCI NIH HHS R21 CA177865
6 · The paper itself

Abstract

backgroundLimited effectiveness of therapeutic agents targeting epidermal growth factor receptor (EGFR) in clinical trials using unselected ovarian cancer patients has prompted efforts to more effectively stratify patients who might best benefit from these therapies. A series of studies that have evaluated immunohistochemical (IHC) staining of EGFR in ovarian cancer biopsies has produced unclear results as to the utility of this measure as a prognostic biomarker. Here, we used one of the largest, single institution cohorts to date to determine possible associations of EGFR expression with patient outcome.

methodsWe performed IHC staining of EGFR in tissue microarrays including nearly 500 patient tumor samples. Staining was classified by subcellular localization (membranous, cytoplasmic) or by automated image analysis algorithms. We also performed a literature review to place these results in the context of previous studies.

resultsNo significant associations were found between EGFR subcellular localization or expression and histology, stage, grade, or outcome. These results were broadly consistent with the consensus of the reviewed literature.

conclusionsThese results suggest that IHC staining for EGFR may not be a useful prognostic biomarker for ovarian cancer patients. Future studies should pursue other staining methods or analysis in combination with other pathway mediators.

Indexed as

EGFRepidermal growth factor receptorovarian cancerprognostic biomarkertissue microarray

Identifiers

PMID28740577
PMCPMC5511892
OpenAlexW2801058525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.