Evidence map›Paper›PMID 29895190›Full record

ArticleCell cycle (Georgetown, Tex.)2018

The contribution of DNA replication stress marked by high-intensity, pan-nuclear γH2AX staining to chemosensitization by CHK1 and WEE1 inhibitors.

Leslie A Parsels, Joshua D Parsels, Daria M Tanska, Jonathan Maybaum, Theodore S Lawrence, Meredith A Morgan

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 34 citations in OpenAlex.

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  20. Low-Dose Hsp90 Inhibitor Selectively Radiosensitizes HNSCC and Pancreatic Xenografts.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    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

6 authors at 1 institution in 1 country.

Leslie A Parselsa Department of Radiation Oncology , University of Michigan Medical School , Ann Arbor , MI , USA.
Joshua D Parselsa Department of Radiation Oncology , University of Michigan Medical School , Ann Arbor , MI , USA.
Daria M Tanskab Department of Pharmacology , University of Michigan Medical School , Ann Arbor , MI , USA.
Jonathan Maybaumb Department of Pharmacology , University of Michigan Medical School , Ann Arbor , MI , USA.ORCID 0000-0003-4438-3237
Theodore S Lawrencea Department of Radiation Oncology , University of Michigan Medical School , Ann Arbor , MI , USA.
Meredith A Morgana Department of Radiation Oncology , University of Michigan Medical School , Ann Arbor , MI , USA.
University of Michigan · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
Sensitization to Chemoradiation by Therapeutic Targeting of the DNA Damage ResponseU01CA216449 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAWRENCE, THEODORE S · 2017 to 2021
$3.0M
Mechanism-Based Use of Chk1 Inhibitors in Pancreas CancerR01CA138723 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAWRENCE, THEODORE S, MAYBAUM, JONATHAN · 2010 to 2015
$2.0M
Selective Sensitization of Pancreatic Cancer to Therapy by Chk1 and PARP1 InhibitR01CA163895 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORGAN, MEREDITH A · 2012 to 2016
$1.6M
NCI NIH HHS P30 CA046592NCI NIH HHS P50 CA130810NCI NIH HHS R01 CA138723NCI NIH HHS R01 CA163895NCI NIH HHS U01 CA216449
6 · The paper itself

Abstract

Small molecule inhibitors of the checkpoint proteins CHK1 and WEE1 are currently in clinical development in combination with the antimetabolite gemcitabine. It is unclear, however, if there is a therapeutic advantage to CHK1 vs. WEE1 inhibition for chemosensitization. The goals of this study were to directly compare the relative efficacies of the CHK1 inhibitor MK8776 and the WEE1 inhibitor AZD1775 to sensitize pancreatic cancer cell lines to gemcitabine and to identify pharmacodynamic biomarkers predictive of chemosensitization. Cells treated with gemcitabine and either MK8776 or AZD1775 were first assessed for clonogenic survival. With the exception of the homologous recombination-defective Capan1 cells, which were relatively insensitive to MK8776, we found that these cell lines were similarly sensitized to gemcitabine by CHK1 or WEE1 inhibition. The abilities of either the CDK1/2 inhibitor roscovitine or exogenous nucleosides to prevent MK8776 or AZD1775-mediated chemosensitization, however, were both inhibitor-dependent and variable among cell lines. Given the importance of DNA replication stress to gemcitabine chemosensitization, we next assessed high-intensity, pan-nuclear γH2AX staining as a pharmacodynamic marker for sensitization. In contrast to total γH2AX, aberrant mitotic entry or sub-G1 DNA content, high-intensity γH2AX staining correlated with chemosensitization by either MK8776 or AZD1775 (R

Indexed as

Analysis of VarianceBiomarkers, TumorCell Cycle CheckpointsCell Cycle ProteinsCell Line, TumorCell SurvivalCheckpoint Kinase 1DeoxycytidineDNA ReplicationGemcitabineHistonesHumansNucleosidesPancreatic NeoplasmsProtein Kinase InhibitorsProtein-Tyrosine KinasesadavosertibBiomarkers, TumorCell Cycle ProteinsCheckpoint Kinase 1CHEK1 protein, humanDeoxycytidineGemcitabineH2AX protein, humanHistonesMK-8776NucleosidesProtein Kinase InhibitorsProtein-Tyrosine KinasesPyrazolesPyrimidinesPyrimidinonesRoscovitineWEE1 protein, humanAZD1775CHK1gemcitabineMK8776pancreatic cancerWEE1

Identifiers

PMID29895190
PMCPMC6110577
OpenAlexW2807759451

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.