Evidence map›Paper›PMID 32533886›Full record

ArticleMolecular oncology2020

An unbiased high-throughput drug screen reveals a potential therapeutic vulnerability in the most lethal molecular subtype of pancreatic cancer.

Chun-Hao Pan, Yuka Otsuka, BanuPriya Sridharan, Melissa Woo, Cindy V Leiton, Sruthi Babu, Mariana Torrente Gonçalves, Ryan R Kawalerski, Ji Dong K Bai, David K Chang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

15 authors at 5 institutions in 3 countries.

Chun-Hao PanDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.ORCID 0000-0002-0776-9408
Yuka OtsukaThe Scripps Research Institute, Jupiter, FL, USA.
BanuPriya SridharanIn vitro In vivo Translation, GSK, Collegeville, PA, USA.
Melissa WooDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Cindy V LeitonDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Sruthi BabuDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Mariana Torrente GonçalvesDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Ryan R KawalerskiDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Ji Dong K BaiDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
David K ChangWolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, UK.
Andrew V BiankinWolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, UK.
Louis ScampaviaThe Scripps Research Institute, Jupiter, FL, USA.
Timothy SpicerThe Scripps Research Institute, Jupiter, FL, USA.
Luisa F Escobar-HoyosDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.
Kenneth R ShroyerDepartment of Pathology, Renaissance School of Medicine, Stony Brook University, NY, USA.ORCID 0000-0001-8090-0778
Stony Brook School · USScripps Research Institute · USGlasgow Royal Infirmary · GBInstitute for In Vitro Sciences · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 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
Integrated Acoustic Transfer System for HTS Library ManagementS10OD025279 · OD · SCRIPPS FLORIDA · PI SCAMPAVIA, LOUIS DANIEL · 2018 to 2018
$624k
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 CA226342-01NCI NIH HHS K99 CA226342NCI NIH HHS K99-R00NCI NIH HHS P30 CA008748NCI NIH HHS R00 CA226342NIH HHS S10 OD025279Pancreatic Cancer Action Network 17-70-25-ESCOPancreatic Cancer Action Network 18-65-SHRO
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second leading cause of cancer-related deaths in the United States by 2020, due in part to innate resistance to widely used chemotherapeutic agents and limited knowledge about key molecular factors that drive tumor aggression. We previously reported a novel negative prognostic biomarker, keratin 17 (K17), whose overexpression in cancer results in shortened patient survival. In this study, we aimed to determine the predictive value of K17 and explore the therapeutic vulnerability in K17-expressing PDAC, using an unbiased high-throughput drug screen. Patient-derived data analysis showed that K17 expression correlates with resistance to gemcitabine (Gem). In multiple in vitro and in vivo models of PDAC, spanning human and murine PDAC cells, and orthotopic xenografts, we determined that the expression of K17 results in a more than twofold increase in resistance to Gem and 5-fluorouracil, key components of current standard-of-care chemotherapeutic regimens. Furthermore, through an unbiased drug screen, we discovered that podophyllotoxin (PPT), a microtubule inhibitor, showed significantly higher sensitivity in K17-positive compared to K17-negative PDAC cell lines and animal models. In the clinic, another microtubule inhibitor, paclitaxel (PTX), is used in combination with Gem as a first-line chemotherapeutic regimen for PDAC. Surprisingly, we found that when combined with Gem, PPT, but not PTX, was synergistic in inhibiting the viability of K17-expressing PDAC cells. Importantly, in preclinical models, PPT in combination with Gem effectively decreased tumor growth and enhanced the survival of mice bearing K17-expressing tumors. This provides evidence that PPT and its derivatives could potentially be combined with Gem to enhance treatment efficacy for the ~ 50% of PDACs that express high levels of K17. In summary, we reported that K17 is a novel target for developing a biomarker-based personalized treatment for PDAC.

Indexed as

Drug Screening Assays, AntitumorHigh-Throughput Screening AssaysAdenocarcinomaAnimalsAntineoplastic AgentsBiomarkers, TumorCarcinoma, Pancreatic DuctalCell Line, TumorDeoxycytidineDrug Resistance, NeoplasmFluorouracilGemcitabineHumansKeratin-17Mice, Inbred C57BLMicrotubulesAntineoplastic AgentsBiomarkers, TumorDeoxycytidineFluorouracilGemcitabineKeratin-17PaclitaxelPodophyllotoxinchemoresistancecombined therapydrug screenkeratin 17pancreatic ductal adenocarcinomapredictive biomarker

Identifiers

PMID32533886
PMCPMC7400780
OpenAlexW3034932253

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.