Evidence map›Paper›PMID 31209198›Full record

ArticleOncogenesis2019

Targeting the cell cycle in head and neck cancer by Chk1 inhibition: a novel concept of bimodal cell death.

Anne M van Harten, Marijke Buijze, Richard van der Mast, Martin A Rooimans, Sanne R Martens-de Kemp, Costa Bachas, Arjen Brink, Marijke Stigter-van Walsum, Rob M F Wolthuis, Ruud H Brakenhoff

Open access · goldAbstract read
In one paragraph

Article in Oncogenesis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 58 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

10 authors at 2 institutions in 1 country.

Anne M van HartenAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8528-6997
Marijke BuijzeAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Richard van der MastAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Martin A RooimansAmsterdam UMC, Vrije Universiteit Amsterdam, Clinical Genetics, Section Oncogenetics, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Sanne R Martens-de KempAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8889-1631
Costa BachasAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5983-6193
Arjen BrinkAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Marijke Stigter-van WalsumAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Rob M F WolthuisAmsterdam UMC, Vrije Universiteit Amsterdam, Clinical Genetics, Section Oncogenetics, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Ruud H BrakenhoffAmsterdam UMC, Vrije Universiteit Amsterdam, Otolaryngology/Head and Neck Surgery, Section Tumor Biology, Cancer Center Amsterdam, Amsterdam, The Netherlands. rh.brakenhoff@vumc.nl.
Amsterdam University Medical Centers · NLAmsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous cell carcinomas (HNSCCs) coincide with poor survival rates. The lack of driver oncogenes complicates the development of targeted treatments for HNSCC. Here, we follow-up on two previous genome-wide RNA and microRNA interference screens in HNSCC to cross-examine tumor-specific lethality by targeting ATM, ATR, CHEK1, or CHEK2. Our results uncover CHEK1 as the most promising target for HNSCC. CHEK1 expression is essential across a panel of HNSCC cell lines but redundant for growth and survival of untransformed oral keratinocytes and fibroblasts. LY2603618 (Rabusertib), which specifically targets Chk1 kinase, kills HNSCC cells effectively and specifically. Our findings show that HNSCC cells depend on Chk1-mediated signaling to progress through S-phase successfully. Chk1 inhibition coincides with stalled DNA replication, replication fork collapses, and accumulation of DNA damage. We further show that Chk1 inhibition leads to bimodal HNSCC cell killing. In the most sensitive cell lines, apoptosis is induced in S-phase, whereas more resistant cell lines manage to bypass replication-associated apoptosis, but accumulate chromosomal breaks that become lethal in subsequent mitosis. Interestingly, CDK1 expression correlates with treatment outcome. Moreover, sensitivity to Chk1 inhibition requires functional CDK1 and CDK4/6 to drive cell cycle progression, arguing against combining Chk1 inhibitors with CDK inhibitors. In contrast, Wee1 inhibitor Adavosertib progresses the cell cycle and thereby increases lethality to Chk1 inhibition in HNSCC cell lines. We conclude that Chk1 has become a key molecule in HNSCC cell cycle regulation and a very promising therapeutic target. Chk1 inhibition leads to S-phase apoptosis or death in mitosis. We provide a potential efficacy biomarker and combination therapy to follow-up in clinical setting.

Identifiers

PMID31209198
PMCPMC6572811
OpenAlexW2953041081

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.