Evidence map›Paper›PMID 26885621›Full record

ArticleOncotarget2016

Novel potential serological prostate cancer biomarkers using CT100+ cancer antigen microarray platform in a multi-cultural South African cohort.

Henry A Adeola, Muneerah Smith, Lisa Kaestner, Jonathan M Blackburn, Luiz F Zerbini

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

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  3. European journal of breast health · 2025
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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

5 authors at 2 institutions in 1 country.

Henry A AdeolaInternational Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.
Muneerah SmithFaculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Lisa KaestnerUrology Department, Grootes Schuur Hospital, Cape Town, South Africa.
Jonathan M BlackburnFaculty of Health Sciences, Division of Medical Biochemistry, Institute of Infectious Diseases & Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Luiz F ZerbiniInternational Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa.
University of Cape Town · ZAGroote Schuur Hospital · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing need for high throughput diagnostic tools for early diagnosis and treatment monitoring of prostate cancer (PCa) in Africa. The role of cancer-testis antigens (CTAs) in PCa in men of African descent is poorly researched. Hence, we aimed to elucidate the role of 123 Tumour Associated Antigens (TAAs) using antigen microarray platform in blood samples (N = 67) from a South African PCa, Benign prostatic hyperplasia (BPH) and disease control (DC) cohort. Linear (fold-over-cutoff) and differential expression quantitation of autoantibody signal intensities were performed. Molecular signatures of candidate PCa antigen biomarkers were identified and analyzed for ethnic group variation. Potential cancer diagnostic and immunotherapeutic inferences were drawn. We identified a total of 41 potential diagnostic/therapeutic antigen biomarkers for PCa. By linear quantitation, four antigens, GAGE1, ROPN1, SPANXA1 and PRKCZ were found to have higher autoantibody titres in PCa serum as compared with BPH where MAGEB1 and PRKCZ were highly expressed. Also, p53 S15A and p53 S46A were found highly expressed in the disease control group. Statistical analysis by differential expression revealed twenty-four antigens as upregulated in PCa samples, while 11 were downregulated in comparison to BPH and DC (FDR = 0.01). FGFR2, COL6A1and CALM1 were verifiable biomarkers of PCa analysis using urinary shotgun proteomics. Functional pathway annotation of identified biomarkers revealed similar enrichment both at genomic and proteomic level and ethnic variations were observed. Cancer antigen arrays are emerging useful in potential diagnostic and immunotherapeutic antigen biomarker discovery.

Indexed as

AdultAgedAged, 80 and overAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCase-Control StudiesCohort StudiesEarly Detection of CancerHumansMaleMiddle AgedNeoplasm GradingPrognosisProstateProstatic HyperplasiaAntigens, NeoplasmAutoantibodiesBiomarkers, Tumorbiomarkerscancer-testis antigenprostate cancerprotein microarrayserum

Identifiers

PMID26885621
PMCPMC4924690
OpenAlexW2303253741

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.