Evidence map›Paper›PMID 33158998›Full record

ArticleMolecular cancer therapeutics2020

A Precision Medicine Drug Discovery Pipeline Identifies Combined CDK2 and 9 Inhibition as a Novel Therapeutic Strategy in Colorectal Cancer.

Jason A Somarelli, Roham Salman Roghani, Ali Sanjari Moghaddam, Beatrice C Thomas, Gabrielle Rupprecht, Kathryn E Ware, Erdem Altunel, John B Mantyh, So Young Kim, Shannon J McCall and 3 more

Open access · greenAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. CDK9 inhibition sensitizes intrinsically resistantActa pharmaceutica Sinica. B · 2026
    Article
  2. Targeting CDK2 and AURKA with Cerevisterol fromInternational journal of molecular sciences · 2026
    Article
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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

13 authors at 2 institutions in 1 country.

Jason A Somarelli *Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
Roham Salman Roghani *Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
Ali Sanjari MoghaddamDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
Beatrice C ThomasDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-7982-5640
Gabrielle RupprechtDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
Kathryn E WareDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
Erdem AltunelDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
John B MantyhDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina.
So Young KimDuke Functional Genomics Core, Duke University, Durham, North Carolina.
Shannon J McCallDepartment of Pathology, Duke University, Durham, North Carolina.ORCID 0000-0003-3957-061X
Xiling ShenCenter for Genomics and Computational Biology, Duke University, Durham, North Carolina.ORCID 0000-0002-4978-3531
Christopher R MantyhDepartment of Surgery, Duke University, Durham, North Carolina.
David S HsuDepartment of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina. shiaowen.hsu@duke.edu.
Duke University · USDuke Medical Center · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

Colorectal cancer is the third most common cancer in the United States and responsible for over 50,000 deaths each year. Therapeutic options for advanced colorectal cancer are limited, and there remains an unmet clinical need to identify new treatments for this deadly disease. To address this need, we developed a precision medicine pipeline that integrates high-throughput chemical screens with matched patient-derived cell lines and patient-derived xenografts (PDX) to identify new treatments for colorectal cancer. High-throughput screens of 2,100 compounds were performed across six low-passage, patient-derived colorectal cancer cell lines. These screens identified the CDK inhibitor drug class among the most effective cytotoxic compounds across six colorectal cancer lines. Among this class, combined targeting of CDK1, 2, and 9 was the most effective, with IC

Indexed as

Drug DiscoveryDrug Screening Assays, AntitumorPrecision MedicineAnimalsAntineoplastic AgentsBiomarkers, TumorCell Cycle CheckpointsCell Line, TumorColorectal NeoplasmsCyclin-Dependent Kinase 2Cyclin-Dependent Kinase 9Disease Models, AnimalDose-Response Relationship, DrugDrug SynergismFemaleHigh-Throughput Screening AssaysAntineoplastic AgentsBiomarkers, TumorCDK2 protein, humanCDK9 protein, humanCyclin-Dependent Kinase 2Cyclin-Dependent Kinase 9Protein Kinase Inhibitors

Identifiers

PMID33158998
PMCPMC7718319
OpenAlexW3095544939

What OpenQuestion holds

Textmetadata
LicenceTDM
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.