Evidence map›Paper›PMID 39585996›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Multi-Component, Time-Course screening to develop combination cancer therapies based on synergistic toxicity.

Michele Ceribelli, Frances Anne Tosto, Xiaohu Zhang, Christopher J Melani, Mark Roschewski, Erin Beck, Carleen Klumpp-Thomas, Cody J Peer, Kelli M Wilson, Lu Chen and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

18 authors.

Michele CeribelliDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Frances Anne TostoDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Xiaohu ZhangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Christopher J MelaniLymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.ORCID 0000-0002-9661-4570
Mark RoschewskiLymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Erin BeckDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Carleen Klumpp-ThomasDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Cody J PeerClinical Pharmacology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Kelli M WilsonDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Lu ChenDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Crystal McKnightDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Sam MichaelDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Zina ItkinDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Paul ShinnDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
William D FiggClinical Pharmacology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Wyndham H WilsonLymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Louis M StaudtLymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Craig J ThomasDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.ORCID 0000-0001-9386-9001

Funding

Oncogenic mechanisms and molecular targets in lymphomaZIABC011008 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STAUDT, LOUIS · 2009 to 2025
$21.0M
HTS enabled examination of drug combinationsZIATR000047 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI THOMAS, CRAIG · 2015 to 2025
$7.1M
HHS | NIH | National Cancer Institute (NCI) 1ZIABC011008-16HHS | NIH | National Center for Advancing Translational Sciences (NCATS) 1ZIATR000047-09Intramural NIH HHS ZIA BC011008Intramural NIH HHS ZIA TR000047
6 · The paper itself

Abstract

Clinical trials in cancer are ideally built on a foundation of sound mechanistic rationale and well-validated drug activity in relevant disease models. The screening of approved and investigational drugs in cell-based phenotypic assays can provide evidence of drug activity, but alternative screening paradigms are needed to develop and optimize multidrug combination regimens. Here, we utilize in vitro screening outcomes across a panel of lymphoma cell lines to dissect the activity of four small-molecule drugs (Venetoclax, Ibrutinib, Prednisolone, and Lenalidomide) currently under investigation within ongoing clinical trials in lymphoma. Data from multiple concentration ranges and time points show that synergistic drug combinations promote apoptosis and cytotoxicity responses at concentrations and time points that are consistent with in vivo drug exposures. To fully map the interaction landscape of these agents in relevant cell models, we developed an in vitro assay format that facilitated time-course evaluations involving concurrent multidrug exposure which further highlighted rapid, synergistic apoptosis induction as a central engine for the activity of this multicomponent targeted therapy. In addition to several instances of exceptional drug+drug synergy, the genetically similar diffuse large B cell lymphoma models also displayed substantial heterogeneity in the degree of synergism between drug pairs. A parallel survey of chemotherapies exhibited limited combination benefit, supporting recent findings that multicomponent chemotherapy outcomes are driven by individual drug activity. Collectively, these data demonstrate how in vitro drug screening data can identify multidrug combinations that exploit drug synergy to overcome the functional diversity of human malignancies.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsApoptosisDrug SynergismAntineoplastic AgentsCell Line, TumorDrug Screening Assays, AntitumorHumansLenalidomideLymphomaAntineoplastic AgentsLenalidomidecancer heterogeneitydrug combinationsdrug synergydrug translationlymphoma

Identifiers

PMID39585996
PMCPMC11626182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.