Evidence map›Paper›PMID 30245304›Full record

ArticleTranslational oncology2019

SERPINB7 Expression Predicts Poor Pancreatic Cancer Survival Upon Gemcitabine Treatment.

Daniela Bianconi, Merima Herac, Daniel Spies, Markus Kieler, Robert Brettner, Matthias Unseld, Katrin Fürnkranz, Barbara Famler, Margit Schmeidl, Christoph Minichsdorfer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 12 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

13 authors at 3 institutions in 2 countries.

Daniela BianconiDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Merima HeracClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Daniel SpiesSwiss Federal Institute of Technology Zurich, Department of Biology, Institute of Molecular Health Sciences, Otto-Stern Weg 7, 8093 Zurich, Switzerland; Life Science Zurich Graduate School, Molecular Life Science Program, University of Zurich, Institute of Molecular Life Sciences, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Markus KielerDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Robert BrettnerDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Matthias UnseldDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Katrin FürnkranzDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Barbara FamlerClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Margit SchmeidlClinical Institute of Pathology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Christoph MinichsdorferDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Christoph ZielinskiDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Gerwin HellerDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Gerald W PragerDepartment of Internal Medicine I, Comprehensive Cancer Center Vienna, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. Electronic address: gerald.prager@meduniwien.ac.at.
Medical University of Vienna · ATComprehensive Cancer Center Vienna · ATUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stratification of patients with pancreatic ductal adenocarcinoma (PDAC) remains a key challenge in the field of clinical oncology. No predictive biomarkers have yet been found for any available treatment options. Previously, we identified SERPINB7 as a putative biomarker for PDAC and thus, herein, we aimed to validate our previous findings and assessed the predictive value of SERPINB7. Patients who underwent surgery and received gemcitabine (gem) or gemcitabine plus nab-paclitaxel (gem/nab) as adjuvant therapy, between 2011 and 2017, were included in this study (n = 57). Expression level of SERPINB7 was assessed in tumor tissue by immunohistochemistry (IHC) and RNA in situ hybridization (RNA ISH). Its association with disease-free survival (DFS) and overall survival (OS) was investigated. While IHC did not show any correlation between survival and the protein level of SERPINB7, RNA ISH revealed that expression of SERPINB7 was associated with a poor DFS (P = .01) and OS (P = .002) in the gem group but not in the gem/nab. Adjusted Cox-regression analysis confirmed the independent predictive value of SERPINB7 on OS (P = .006, HR: 3.47; 95% CI: 1.49-8.09) in the gem group. In conclusion, SERPINB7 was identified as the first predictive RNA biomarker for PDAC. This study suggests that patients who expressed SERPINB7 might receive another treatment than gem alone.

Identifiers

PMID30245304
PMCPMC6149193
OpenAlexW2889620869

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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.