Evidence map›Paper›PMID 42427154›Full record

ArticlePharmacology research & perspectives2026

A Tale of Two Cell Lines: Characterization of Differential Efficacy of Small Molecule Drugs Cediranib and NU-7441 on Primary Versus Metastatic Colorectal Cancer.

Josephine D Tsang, Cai M Roberts

Abstract read
In one paragraph

Article in Pharmacology research & perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Josephine D TsangChicago College of Osteopathic Medicine, Midwestern University, Downers Grove, Illinois, USA.
Cai M RobertsDepartment of Pharmacology, Midwestern University, Downers Grove, Illinois, USA.

Funding

Midwestern University
6 · The paper itself

Abstract

Colorectal cancer is recognized as one of the leading causes of cancer death amongst both sexes in the U.S. Despite rigorous screening, those diagnosed with colon cancer often face poor prognosis, and approximately 70% of affected patients will develop metastatic relapse. The investigation of colon carcinoma cell lines' genetic variability and response to chemotherapy panels may aid in targeting therapies to improve outcomes. This study aims to find correlations between metastasis status, gene variability, and drug response. We used two cell lines that were isolated from the same 51-year-old male with colorectal adenocarcinoma: a primary tumor-derived line (SW480) and a secondary metastasis-derived line (SW620). Live cell imaging using time-lapse microscopy over 3 days exhibited differential cell death responses following treatment with multiple chemotherapeutic agents, particularly cediranib and Nu-7441, with SW620 demonstrating greater sensitivity. Western blots revealed changes in DNA repair machinery expression (particularly NHEJ proteins) between SW480 and SW620. RNA sequencing and Gene Ontology analysis corroborated our findings, demonstrating upregulated DNA repair and metabolic survival genes including TGM2 in SW620 and PROM1 in SW480. An SW620 line grown in non-attachment plates and then reattached (SW620F) exhibited high DNA-PKcs activation and drug sensitivity. Correlation between drug response and gene expression crucial to cell growth and successful metastasis may reveal new biomarkers to target potential treatments.

Indexed as

AdenocarcinomaAntineoplastic AgentsColorectal NeoplasmsQuinazolinesCell Line, TumorDNA RepairGene Expression Regulation, NeoplasticHumansIndolesMaleMiddle AgedNeoplasm MetastasisAntineoplastic AgentscediranibIndolesQuinazolines

Identifiers

PMID42427154
PMCPMC13351323

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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.