Evidence map›Paper›PMID 26799424›Full record

ArticleOncotarget2016

SERPINB1 expression is predictive for sensitivity and outcome of cisplatin-based chemotherapy in melanoma.

Christoph Willmes, Rajiv Kumar, Jürgen C Becker, Isabella Fried, P Sivaramakrishna Rachakonda, Lidia M Poppe, Sonja Hesbacher, Dirk Schadendorf, Antje Sucker, David Schrama and 1 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Membrane Transporters and Channels in Melanoma.Reviews of physiology, biochemistry and pharmacology · 2021
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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

11 authors at 6 institutions in 2 countries.

Christoph WillmesDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Rajiv KumarDivision of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Jürgen C BeckerTranslational Skin Cancer Research, Deutsches Konsortium für Translationale Krebsforschung (DKTK), Essen, Germany.
Isabella FriedDepartment of Dermatology, Medical University of Graz, Graz, Austria.
P Sivaramakrishna RachakondaDivision of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Lidia M PoppeDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Sonja HesbacherDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Dirk SchadendorfDepartment of Dermatology, University Duisburg-Essen, Essen, Germany.
Antje SuckerDepartment of Dermatology, University Duisburg-Essen, Essen, Germany.
David SchramaDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Selma UgurelDepartment of Dermatology, University Hospital Würzburg, Würzburg, Germany.
Universitätsklinikum Würzburg · DEUniversity of Duisburg-Essen · DEDeutschen Konsortium für Translationale Krebsforschung · DEGerman Cancer Research Center · DEHeidelberg University · DEMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite of highly effective new therapeutic strategies, chemotherapy still is an important treatment option in metastatic melanoma. Since predictors of chemotherapy response are rare, drugs and regimens are currently chosen arbitrarily. The present study was aimed at the identification of molecular markers predicting the outcome of chemotherapy in melanoma. Tumor biopsies from metastatic lesions were collected from 203 stage IV melanoma patients prior to chemotherapy onset and used for gene expression profiling (n = 6; marker identification set), quantitative real-time PCR (n = 127; validation set 1), and immunohistochemistry on tissue microarrays (n = 70; validation set 2). The results were correlated to the tumors' in-vitro chemosensitivity and to the patients' in-vivo chemotherapy outcome. SERPINB1 was found to correlate to the in-vitro sensitivity to cisplatin-containing chemotherapy regimens (p = 0.005). High SERPINB1 gene expression was associated with favorable tumor response (p = 0.012) and prolonged survival (p = 0.081) under cisplatin-based chemotherapy. High SERPINB1 protein expression in tumor tissue from cisplatin-treated patients was associated with a favorable survival (p = 0.011), and proved as an independent predictor of survival (p = 0.008) by multivariate analysis. We conclude, that SERPINB1 expression, although not functionally involved, is predictive for the outcome of cisplatin-based chemotherapy in melanoma, and thus may be useful to personalize melanoma chemotherapy.

Indexed as

AdolescentAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCell Line, TumorCisplatinFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateMaleMelanomaBiomarkers, TumorCisplatinSERPINB1 protein, humanSerpinschemotherapycisplatinmelanomapredictive markerSERPINB1

Identifiers

PMID26799424
PMCPMC4891108
OpenAlexW2288727288

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.