Evidence map›Paper›PMID 31375762›Full record

ArticleScientific reports2019

Keratin 17 identifies the most lethal molecular subtype of pancreatic cancer.

Lucia Roa-Peña, Cindy V Leiton, Sruthi Babu, Chun-Hao Pan, Elizabeth A Vanner, Ali Akalin, Jela Bandovic, Richard A Moffitt, Kenneth R Shroyer, Luisa F Escobar-Hoyos

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  16. HMGA2 Expression Predicts Subtype, Survival, and Treatment Outcome in Pancreatic Ductal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer 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

10 authors.

Lucia Roa-PeñaDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0002-3037-4906
Cindy V LeitonDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0003-2204-5341
Sruthi BabuDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.
Chun-Hao PanDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0002-0776-9408
Elizabeth A VannerDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0003-1875-4524
Ali AkalinDepartment of Pathology, University of Massachusetts Memorial Medical Center, Worcester, Massachusetts, 01655, USA.
Jela BandovicDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.
Richard A MoffittDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0003-2723-5902
Kenneth R ShroyerDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA. Kenneth.Shroyer@stonybrookmedicine.edu.
Luisa F Escobar-HoyosDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA. Luisa.Escobarhoyos@stonybrook.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Altered mRNA splicing dependent on mutant p53 identifies novel therapeutic vulnerability in pancreatic cancerR00CA226342 · NCI · YALE UNIVERSITY · PI ESCOBAR HOYOS, LUISA · 2020 to 2022
$741k
Altered mRNA splicing dependent on mutant p53 identifies novel therapeutic vulnerability in pancreatic cancerK99CA226342 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ESCOBAR HOYOS, LUISA · 2018 to 2019
$204k
NCI NIH HHS K99 CA226342NCI NIH HHS P30 CA008748NCI NIH HHS R00 CA226342
6 · The paper itself

Abstract

Although the overall five-year survival of patients with pancreatic ductal adenocarcinoma (PDAC) is dismal, there are survival differences between cases with clinically and pathologically indistinguishable characteristics, suggesting that there are uncharacterized properties that drive tumor progression. Recent mRNA sequencing studies reported gene-expression signatures that define PDAC molecular subtypes that correlate with differences in survival. We previously identified Keratin 17 (K17) as a negative prognostic biomarker in other cancer types. Here, we set out to determine if K17 is as accurate as molecular subtyping of PDAC to identify patients with the shortest survival. K17 mRNA was analyzed in two independent PDAC cohorts for discovery (n = 124) and validation (n = 145). Immunohistochemical localization and scoring of K17 immunohistochemistry (IHC) was performed in a third independent cohort (n = 74). Kaplan-Meier and Cox proportional-hazard regression models were analyzed to determine cancer specific survival differences in low vs. high mRNA K17 expressing cases. We established that K17 expression in PDACs defines the most aggressive form of the disease. By using Cox proportional hazard ratio, we found that increased expression of K17 at the IHC level is also associated with decreased survival of PDAC patients. Additionally, within PDACs of advanced stage and negative surgical margins, K17 at both mRNA and IHC level is sufficient to identify the subgroup with the shortest survival. These results identify K17 as a novel negative prognostic biomarker that could inform patient management decisions.

Indexed as

AgedBiomarkers, TumorCarcinoma, Pancreatic DuctalClinical Decision-MakingCohort StudiesFemaleFollow-Up StudiesHumansImmunohistochemistryKaplan-Meier EstimateKeratin-17MaleMiddle AgedNeoplasm StagingPancreasPancreatic NeoplasmsBiomarkers, TumorKeratin-17KRT17 protein, humanRNA, Messenger

Identifiers

PMID31375762
PMCPMC6677817

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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.