Evidence map›Paper›PMID 26516358›Full record

ReviewJournal of Cancer2015

Potential Approaches and Recent Advances in Biomarker Discovery in Clear-Cell Renal Cell Carcinoma.

Weronika Majer, Katarzyna Kluzek, Hans Bluyssen, Joanna Wesoły

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 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

4 authors at 1 institution in 2 countries.

Weronika Majer1. Laboratory of High Throughput Technologies, Institute of Molecular Biology and Biotechnology, Faculty of Biology, University of Adam Mickiewicz, Umultowska 89, 61-614 Poznan, Poland, Tel. +4861 829 5832, Fax. +4861 829 5949.
Katarzyna Kluzek2. Department of Human Molecular Genetics, Institute of Molecular Biology and Biotechnology, Faculty of Biology, University of Adam Mickiewicz, Umultowska 89, 64-614 Poznan, Tel. +4861 829 5832.
Hans Bluyssen2. Department of Human Molecular Genetics, Institute of Molecular Biology and Biotechnology, Faculty of Biology, University of Adam Mickiewicz, Umultowska 89, 64-614 Poznan, Tel. +4861 829 5832.
Joanna Wesoły1. Laboratory of High Throughput Technologies, Institute of Molecular Biology and Biotechnology, Faculty of Biology, University of Adam Mickiewicz, Umultowska 89, 61-614 Poznan, Poland, Tel. +4861 829 5832, Fax. +4861 829 5949.
Institute of Molecular Biology and Biotechnology · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early diagnosis and monitoring of clear-cell Renal Cell Carcinoma (ccRCC), which is the most common renal malignancy, remains challenging. The late diagnosis and lack of tools that can be used to assess the progression of the disease and metastasis significantly influence the chance of survival of ccRCC patients. Molecular biomarkers have been shown to aid the diagnosis and disease monitoring for other cancers, but such markers are not currently available for ccRCC. Recently, plasma and serum circulating nucleic acids, nucleic acids present in urine, and plasma and urine proteins gained interest in the field of cancer biomarker discovery. Here, we describe the applicability of plasma and urine nucleic acids as cancer biomarkers with a particular focus on DNA, small RNA, and protein markers for ccRCC.

Indexed as

ccRCC biomarkercfDNACTCssmallRNA

Identifiers

PMID26516358
PMCPMC4615346
OpenAlexW2399320452

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.