Evidence map›Paper›PMID 29285214›Full record

ArticleOncotarget2017

mRNA expression profiles obtained from microdissected pancreatic cancer cells can predict patient survival.

Ana-Barbara García-García, M Carmen Gómez-Mateo, Rebeca Hilario, Pilar Rentero-Garrido, Alvaro Martínez-Domenech, Veronica Gonzalez-Albert, Andres Cervantes, Pablo Marín-Garcia, Felipe Javier Chaves, Antonio Ferrández-Izquierdo and 1 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ana-Barbara García-García *CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain.
M Carmen Gómez-Mateo *Department of Pathology, Faculty of Medicine and Odontology, University of Valencia and Clinical Hospital of Valencia, and Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Rebeca HilarioUnidad de Genómica y Diagnóstico Genético. Fundación Investigación Clínico de Valencia, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Pilar Rentero-GarridoUnidad de Genómica y Diagnóstico Genético. Fundación Investigación Clínico de Valencia, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Alvaro Martínez-DomenechDepartment of Surgery, University of Valencia, Hospital Clínico Universitario, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Veronica Gonzalez-AlbertUnidad de Genómica y Diagnóstico Genético. Fundación Investigación Clínico de Valencia, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Andres CervantesHematology and Medical Oncology Unit, Biomedical Research Institute INCLIVA and Department of Medicine, University of Valencia, Valencia, Spain.
Pablo Marín-GarciaBioinformatics Unit. Fundación Investigación Clínico de Valencia, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Felipe Javier ChavesCIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain.
Antonio Ferrández-IzquierdoDepartment of Pathology, Faculty of Medicine and Odontology, University of Valencia and Clinical Hospital of Valencia, and Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.
Luis SabaterDepartment of Surgery, University of Valencia, Hospital Clínico Universitario, Instituto de Investigación Sanitaria Clínico de Valencia (INCLIVA), Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most devastating malignancies in developed countries because of its very poor prognosis and high mortality rates. By the time PDAC is usually diagnosed only 20-25% of patients are candidates for surgery, and the rate of survival for this cancer is low even when a patient with PDAC does undergo surgery. Lymph node invasion is an extremely bad prognosis factor for this disease.

methodsWe analyzed the mRNA expression profile in 30 PDAC samples from patients with resectable local disease (stages I and II). Neoplastic cells were isolated by laser-microdissection in order to avoid sample 'contamination' by non-tumor cells. Due to important differences in the prognoses of PDAC patients with and without lymph node involvement (stage IIB and stages I-IIA, respectively), we also analyzed the association between the mRNA expression profiles from these groups of patients and their survival.

resultsWe identified expression profiles associated with patient survival in the whole patient cohort and in each group (stage IIB samples or stage I-IIA samples). Our results indicate that survival-associated genes are different in the groups with and without affected lymph nodes. Survival curves indicate that these expression profiles can help physicians to improve the prognostic classification of patients based on these profiles.

Indexed as

gene expressionmicrodissected cellspancreatic ductal adenocarcinomapatient survivalregional lymph node metastases

Identifiers

PMID29285214
PMCPMC5739601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.