Evidence map›Paper›PMID 25296164›Full record

ArticlePloS one2014

Operator dependent choice of prostate cancer biopsy has limited impact on a gene signature analysis for the highly expressed genes IGFBP3 and F3 in prostate cancer epithelial cells.

Zhuochun Peng, Karl Andersson, Johan Lindholm, Inger Bodin, Setia Pramana, Yudi Pawitan, Monica Nistér, Sten Nilsson, Chunde Li

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep Learning Model for Predicting Airway Organoid Differentiation.Tissue engineering and regenerative medicine · 2023
    Article
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  5. Article
  6. Article
  7. Active Surveillance of Prostate Cancer: Use, Outcomes, Imaging, and Diagnostic Tools.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2016
    Review
  8. Article
  9. 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.

Zhuochun PengDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Chundsell Medicals AB, Stockholm, Sweden.
Karl AnderssonDepartment of Oncology, Radiology and Radiation Sciences, Uppsala University, Uppsala, Sweden; Ridgeview Instruments AB, Uppsala, Sweden.
Johan LindholmClinical Pathology/Cytology, Karolinska University Hospital, Stockholm, Sweden.
Inger BodinDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Setia PramanaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Sekolah Tinggi Ilmu Statistik/Institute of Statistics, Jakarta, Indonesia.
Yudi PawitanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Monica NistérDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Pathology/Cytology, Karolinska University Hospital, Stockholm, Sweden.
Sten NilssonDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Oncology, Karolinska University Hospital, Stockholm, Sweden.
Chunde LiDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Oncology, Karolinska University Hospital, Stockholm, Sweden; Chundsell Medicals AB, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredicting the prognosis of prostate cancer disease through gene expression analysis is receiving increasing interest. In many cases, such analyses are based on formalin-fixed, paraffin embedded (FFPE) core needle biopsy material on which Gleason grading for diagnosis has been conducted. Since each patient typically has multiple biopsy samples, and since Gleason grading is an operator dependent procedure known to be difficult, the impact of the operator's choice of biopsy was evaluated.

methodsMultiple biopsy samples from 43 patients were evaluated using a previously reported gene signature of IGFBP3, F3 and VGLL3 with potential prognostic value in estimating overall survival at diagnosis of prostate cancer. A four multiplex one-step qRT-PCR test kit, designed and optimized for measuring the signature in FFPE core needle biopsy samples was used. Concordance of gene expression levels between primary and secondary Gleason tumor patterns, as well as benign tissue specimens, was analyzed.

resultsThe gene expression levels of IGFBP3 and F3 in prostate cancer epithelial cell-containing tissue representing the primary and secondary Gleason patterns were high and consistent, while the low expressed VGLL3 showed more variation in its expression levels.

conclusionThe assessment of IGFBP3 and F3 gene expression levels in prostate cancer tissue is independent of Gleason patterns, meaning that the impact of operator's choice of biopsy is low.

Indexed as

Gene Expression Regulation, NeoplasticArtifactsBiopsy, Large-Core NeedleEpithelial CellsHumansInsulin-Like Growth Factor Binding Protein 3MaleNeoplasm GradingPlatelet Factor 3PrognosisProstatic NeoplasmsTranscription FactorsIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3Platelet Factor 3Transcription FactorsVGLL3 protein, human

Identifiers

PMID25296164
PMCPMC4190108

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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.