Evidence map›Paper›PMID 30771135›Full record

ReviewCell biology and toxicology2019

Proteomic and genomic profiling of pancreatic cancer.

Daniel Ansari, William Torén, Qimin Zhou, Dingyuan Hu, Roland Andersson

Abstract readReview
In one paragraph

Review in Cell biology and toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
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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

5 authors.

Daniel AnsariDepartment of Surgery, Clinical Sciences Lund, Skåne University Hospital, Lund University, SE-221 85, Lund, Sweden. daniel.ansari@med.lu.se.ORCID 0000-0002-4357-822X
William TorénDepartment of Surgery, Clinical Sciences Lund, Skåne University Hospital, Lund University, SE-221 85, Lund, Sweden.
Qimin ZhouDepartment of Surgery, Clinical Sciences Lund, Skåne University Hospital, Lund University, SE-221 85, Lund, Sweden.
Dingyuan HuDepartment of Surgery, Clinical Sciences Lund, Skåne University Hospital, Lund University, SE-221 85, Lund, Sweden.
Roland AnderssonDepartment of Surgery, Clinical Sciences Lund, Skåne University Hospital, Lund University, SE-221 85, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer remains the most fatal human tumor type. The aggressive tumor biology coupled with the lack of early detection strategies and effective treatment are major reasons for the poor survival rate. Collaborative research efforts have been devoted to understand pancreatic cancer at the molecular level. Large-scale genomic studies have generated important insights into the genetic drivers of pancreatic cancer. In the post-genomic era, protein sequencing of tumor tissue, cell lines, pancreatic juice, and blood from patients with pancreatic cancer has provided a fundament for the development of new diagnostic and prognostic biomarkers. The integration of mass spectrometry and genomic sequencing strategies may help characterize protein identities and post-translational modifications that relate to a specific mutation. Consequently, proteomic and genomic techniques have become a compulsory requirement in modern medicine and health care. These types of proteogenomic studies may usher in a new era of precision diagnostics and treatment in patients with pancreatic cancer.

Indexed as

Amino Acid SequenceAntigens, Tumor-Associated, CarbohydrateBiomarkers, TumorGenomicsHumansMass SpectrometryPancreatic NeoplasmsPrognosisProtein Processing, Post-TranslationalProteogenomicsProteomicsAntigens, Tumor-Associated, CarbohydrateBiomarkers, TumorBiomarkersGenomicsPancreatic cancerProteogenomicsProteomics

Identifiers

PMID30771135
PMCPMC6757097

What OpenQuestion holds

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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.