Evidence map›Paper›PMID 27004211›Full record

ArticleAnnals of translational medicine2016

Glypican-1 in exosomes as biomarker for early detection of pancreatic cancer.

Marta Herreros-Villanueva, Luis Bujanda

Abstract read
In one paragraph

Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
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  4. Strategy for early diagnosis of pancreatic cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026
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  7. Proteomics in pancreatic cancer.Biomarker research · 2025
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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

2 authors at 2 institutions in 1 country.

Marta Herreros-VillanuevaDepartment of Gastroenterology, Hospital Donostia/Biodonostia Institute, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco UPV/EHU, San Sebastian, Spain.
Luis BujandaDepartment of Gastroenterology, Hospital Donostia/Biodonostia Institute, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco UPV/EHU, San Sebastian, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas · ESUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On June 24, 2015 Nature published an article entitle "Glypican-1 identifies cancer exosomes and detects early pancreatic cancer'', which demonstrates that exosomes positives for the proteoglycan glypican-1 (GPC1) are expressed in serum of patients with pancreatic cancer since very early stages but not in benign pancreatic disease. Additionally, these GPC1(+) circulating exosomes correlate with tumor burden and could be used as prognostic biomarker in pre and post-surgical patients. The study is pioneer since GPC1 biomarker in exosomes offers better sensitivity and specificity than any other under evaluation or used in clinical practice. However, methodology for exosomes isolation still remains at investigational phase. Further studies are need to translate this technology to a practicable clinical method. Further research is also required to validate this biomarker in larger prospective cohort including more cases of premalignant lesions and then replicated results could possible guide changes in clinical practice.

Indexed as

Biomarkerearly detectionexosomesglypican-1 (GPC1)pancreatic cancer

Identifiers

PMID27004211
PMCPMC4779771
OpenAlexW2118583622

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.