Evidence map›Paper›PMID 25784655›Full record

ArticleOncotarget2015

Stage-specific prognostic biomarkers in melanoma.

Yabin Cheng, Jing Lu, Guangdi Chen, Gholamreza Safaee Ardekani, Anand Rotte, Magdalena Martinka, Xuezhu Xu, Kevin J McElwee, Guohong Zhang, Youwen Zhou

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. p27eLife · 2017
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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

10 authors.

Yabin ChengDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Jing LuDepartment of Pathophysiology, Basic Medical College, Zhengzhou University, Zhengzhou, Henan, China.
Guangdi ChenBioelectromagnetics Laboratory, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Gholamreza Safaee ArdekaniDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Anand RotteDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Magdalena MartinkaDepartment of Pathology, University of British Columbia, Vancouver, British Columbia, Canada.
Xuezhu XuDepartment of Dermatology, Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Kevin J McElweeDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Guohong ZhangDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Youwen ZhouDepartment of Dermatology and Skin Science, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

The melanoma staging system proposed by the American Joint Committee on Cancer (AJCC) (which classifies melanoma patients into four clinical stages) is currently the most widely used tool for melanoma prognostication, and clinical management decision making by clinicians. However, multiple studies have shown that melanomas within specific AJCC Stages can exhibit varying progression and clinical outcomes. Thus, additional information, such as that provided by biomarkers is needed to assist in identifying the patients at risk of disease progression. Having previously found six independent prognostic biomarkers in melanoma, including BRAF, MMP2, p27, Dicer, Fbw7 and Tip60, our group has gone on to investigate if these markers are useful in risk stratification of melanoma patients in individual AJCC stages. First, we performed Kaplan-Meier survival and Cox proportional multivariate analyses comparing prognostication power of these markers in 254 melanoma patients for whom the expression levels were known, identifying the best performing markers as candidates for stage-specific melanoma markers. We then verified the results by incorporating an additional independent cohort (87 patients) and in a combined cohort (341 patients). Our data indicate that BRAF and MMP2 are optimal prognostic biomarkers for AJCC Stages I and II, respectively (P = 0.010, 0.000, Log-rank test); whereas p27 emerged as a good marker for AJCC Stages III/IV (0.018, 0.046, respectively, log-rank test). Thus, our study has identified stage-specific biomarkers in melanoma, a finding which may assist clinicians in designing improved personalized therapeutic modalities.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorChildCyclin-Dependent Kinase Inhibitor p27Disease ProgressionFemaleHumansMaleMatrix Metalloproteinase 2MelanomaMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorBRAF protein, humanCyclin-Dependent Kinase Inhibitor p27Matrix Metalloproteinase 2MMP2 protein, humanProto-Oncogene Proteins B-raf

Identifiers

PMID25784655
PMCPMC4414181

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Registered trials

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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.