Evidence map›Paper›PMID 25657202›Full record

ArticleThe oncologist2015

Immunohistochemical validation of overexpressed genes identified by global expression microarrays in adrenocortical carcinoma reveals potential predictive and prognostic biomarkers.

Julian C Y Ip, Tony C Y Pang, Anthony R Glover, Patsy Soon, Jing Ting Zhao, Stephen Clarke, Bruce G Robinson, Anthony J Gill, Stan B Sidhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The oncologist, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

9 authors.

Julian C Y IpKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Tony C Y PangKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Anthony R GloverKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Patsy SoonKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Jing Ting ZhaoKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Stephen ClarkeKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Bruce G RobinsonKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Anthony J GillKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
Stan B SidhuKolling Institute of Medical Research, Endocrine and Oncology Surgical Unit, and Department of Anatomical Pathology, Royal North Shore Hospital, Faculty of Medicine, Northern Clinical School, and Department of Surgery, Westmead Hospital, University of Sydney, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia stansidhu@nebsc.com.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. The aim of this study was to identify novel protein signatures that would predict clinical outcomes in a large cohort of patients with ACC based on data from previous gene expression microarray studies. MATERIALS AND

methodsA tissue microarray was generated from the paraffin tissue blocks of 61 patients with clinical outcomes data. Selected protein biomarkers based on previous gene expression microarray profiling studies were selected, and immunohistochemistry staining was performed. Staining patterns were correlated with clinical outcomes, and a multivariate analysis was undertaken to identify potential biomarkers of prognosis.

resultsMedian overall survival was 45 months, with a 5-year overall survival rate of 44%. Median disease-free survival was 58 months, with a 5-year disease-free survival rate of 44%. The proliferation marker Ki-67 and DNA topoisomerase TOP2A were associated with significantly poorer overall and disease-free survival. The results also showed strong correlation between the transcriptional repressor EZH2 and TOP2A expression, suggesting a novel role for EZH2 as an additional marker of prognosis. In contrast, increased expression of the BARD1 protein, with its ubiquitin ligase function, was associated with significantly improved overall and disease-free survival, which has yet to be documented for ACC.

conclusionWe present novel biomarkers that assist in determining prognosis for patients with ACC. Ki-67, TOP2A, and EZH2 were all significantly associated with poorer outcomes, whereas BARD1 was associated with improved overall survival. It is hoped that these biomarkers may help tailor additional therapy and be potential targets for directed therapy.

Indexed as

Gene Expression ProfilingAdrenocortical CarcinomaAntigens, NeoplasmBiomarkers, TumorDNA-Binding ProteinsDNA Topoisomerases, Type IIEnhancer of Zeste Homolog 2 ProteinFemaleHumansImmunohistochemistryKi-67 AntigenMaleMiddle AgedPoly-ADP-Ribose Binding ProteinsPolycomb Repressive Complex 2Predictive Value of TestsAntigens, NeoplasmBARD1 protein, humanBiomarkers, TumorDNA-Binding ProteinsDNA Topoisomerases, Type IIEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanKi-67 AntigenPoly-ADP-Ribose Binding ProteinsPolycomb Repressive Complex 2TOP2A protein, humanTumor Suppressor ProteinsUbiquitin-Protein LigasesAdrenocortical carcinomaBiomarkersImmunohistochemistryPrognosisTissue microarray

Identifiers

PMID25657202
PMCPMC4350804

What OpenQuestion holds

Textmetadata
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.