Evidence map›Paper›PMID 31349663›Full record

ReviewCancers2019

Omics Approaches in Pancreatic Adenocarcinoma.

Iranzu González-Borja, Antonio Viúdez, Saioa Goñi, Enrique Santamaria, Estefania Carrasco-García, Jairo Pérez-Sanz, Irene Hernández-García, Pablo Sala-Elarre, Virginia Arrazubi, Esther Oyaga-Iriarte and 5 more

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Molecular imaging and biology · 2025
    Article
  2. Clinical application of AlCancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. 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

15 authors.

Iranzu González-BorjaOncobionaTras Lab, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA) Irunlarrea 3, 31008 Pamplona, Spain.
Antonio ViúdezOncobionaTras Lab, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA) Irunlarrea 3, 31008 Pamplona, Spain. aviudezb@navarra.es.ORCID 0000-0001-8810-6851
Saioa GoñiOncobionaTras Lab, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA) Irunlarrea 3, 31008 Pamplona, Spain.
Enrique SantamariaClinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.
Estefania Carrasco-GarcíaGrupo de Oncología Celular, Instituto de Investigación Sanitaria Biodonostia, 20014 San Sebastián, Spain.
Jairo Pérez-SanzOncobionaTras Lab, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA) Irunlarrea 3, 31008 Pamplona, Spain.ORCID 0000-0003-4786-8379
Irene Hernández-GarcíaMedical Oncology Department, Complejo Hospitalario de Navarra, Irunlarrea 3, 31008 Pamplona, Spain.
Pablo Sala-ElarreMedical Oncology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Virginia ArrazubiMedical Oncology Department, Complejo Hospitalario de Navarra, Irunlarrea 3, 31008 Pamplona, Spain.
Esther Oyaga-IriartePharmamodelling S.L., 31008 Pamplona, Spain.ORCID 0000-0002-4087-6133
Ruth ZárateOncobionaTras Lab, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA) Irunlarrea 3, 31008 Pamplona, Spain.
Sara ArévaloGrupo de Oncología Celular, Instituto de Investigación Sanitaria Biodonostia, 20014 San Sebastián, Spain.
Onintza SayarPharmamodelling S.L., 31008 Pamplona, Spain.
Ruth VeraMedical Oncology Department, Complejo Hospitalario de Navarra, Irunlarrea 3, 31008 Pamplona, Spain.
Joaquin Fernández-IrigoyenClinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.ORCID 0000-0001-5072-4099

Funding

Instituto de Salud Carlos III PT17/0019
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma, which represents 80% of pancreatic cancers, is mainly diagnosed when treatment with curative intent is not possible. Consequently, the overall five-year survival rate is extremely dismal-around 5% to 7%. In addition, pancreatic cancer is expected to become the second leading cause of cancer-related death by 2030. Therefore, advances in screening, prevention and treatment are urgently needed. Fortunately, a wide range of approaches could help shed light in this area. Beyond the use of cytological or histological samples focusing in diagnosis, a plethora of new approaches are currently being used for a deeper characterization of pancreatic ductal adenocarcinoma, including genetic, epigenetic, and/or proteo-transcriptomic techniques. Accordingly, the development of new analytical technologies using body fluids (blood, bile, urine, etc.) to analyze tumor derived molecules has become a priority in pancreatic ductal adenocarcinoma due to the hard accessibility to tumor samples. These types of technologies will lead us to improve the outcome of pancreatic ductal adenocarcinoma patients.

Indexed as

body fluidsctDNAFFPEgenomiclipidomicmetabolomicpancreatic adenocarcinomaproteomictissue

Identifiers

PMID31349663
PMCPMC6721316

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.