Evidence map›Paper›PMID 36743670›Full record

ArticleFrontiers in medicine2022

Psymberin, a marine-derived natural product, induces cancer cell growth arrest and protein translation inhibition.

Divya L Dayanidhi, Jason A Somarelli, John B Mantyh, Gabrielle Rupprecht, Roham Salman Roghani, Sophia Vincoff, Iljin Shin, Yiquan Zhao, So Young Kim, Shannon McCall and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Divya L DayanidhiDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Jason A SomarelliDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
John B MantyhDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Gabrielle RupprechtDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Roham Salman RoghaniDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Sophia VincoffDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Iljin ShinDepartment of Chemistry, Duke University, Durham, NC, United States.
Yiquan ZhaoDepartment of Chemistry, Duke University, Durham, NC, United States.
So Young KimDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States.
Shannon McCallDepartment of Pathology, Duke University, Durham, NC, United States.
Jiyong HongDepartment of Chemistry, Duke University, Durham, NC, United States.
David S HsuDivision of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States.
Duke University · USDuke Medical Center · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Cooperative Human Tissue Network Support through Duke's BioRepository & Precision Pathology CenterUM1CA239755 · NCI · DUKE UNIVERSITY · PI Shannon Jones McCall · 2019 to 2026
$5.4M
NCI NIH HHS P30 CA014236NCI NIH HHS UM1 CA239755
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most prevalent form of cancer in the United States and results in over 50,000 deaths per year. Treatments for metastatic CRC are limited, and therefore there is an unmet clinical need for more effective therapies. In our prior work, we coupled high-throughput chemical screens with patient-derived models of cancer to identify new potential therapeutic targets for CRC. However, this pipeline is limited by (1) the use of cell lines that do not appropriately recapitulate the tumor microenvironment, and (2) the use of patient-derived xenografts (PDXs), which are time-consuming and costly for validation of drug efficacy. To overcome these limitations, we have turned to patient-derived organoids. Organoids are increasingly being accepted as a "standard" preclinical model that recapitulates tumor microenvironment cross-talk in a rapid, cost-effective platform. In the present work, we employed a library of natural products, intermediates, and drug-like compounds for which full synthesis has been demonstrated. Using this compound library, we performed a high-throughput screen on multiple low-passage cancer cell lines to identify potential treatments. The top candidate, psymberin, was further validated, with a focus on CRC cell lines and organoids. Mechanistic and genomics analyses pinpointed protein translation inhibition as a mechanism of action of psymberin. These findings suggest the potential of psymberin as a novel therapy for the treatment of CRC.

Indexed as

high-throughput screeningpatient-derived models of cancerpatient-derived organoidsprecision medicineprotein translationpsymberin

Identifiers

PMID36743670
PMCPMC9894252
OpenAlexW4319294012

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.