Evidence map›Paper›PMID 37914572›Full record

ArticleSurgery2024

Gastroenteropancreatic neuroendocrine carcinoma tumor spheroid drug screen reveals vulnerability to tyrosyl-DNA phosphodiesterase 1 inhibitors.

Gabriella V Beyer, Sophia Hueser, Rachel Li, Deeraj Manika, Minhyuk Lee, Carlos H F Chan, James R Howe, Po Hien Ear

Open access · greenAbstract read
In one paragraph

Article in Surgery, 2024. 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, top 72% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Gabriella V BeyerDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA.
Sophia HueserDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA.
Rachel LiDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA.
Deeraj ManikaDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA.
Minhyuk LeeDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA.
Carlos H F ChanDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA; Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA.
James R HoweDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA; Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA.
Po Hien EarDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City, IA; Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA. Electronic address: pohien-ear@uiowa.edu.
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Project 4: New Approaches to Improving the Effectiveness of Radionuclide Targeted Treatments in Neuroendocrine TumorsP50CA174521 · NCI · UNIVERSITY OF IOWA · PI ODORISIO, THOMAS · 2015 to 2021
$13.2M
NCI NIH HHS P30 CA086862NCI NIH HHS P50 CA174521
6 · The paper itself

Abstract

backgroundGastroenteropancreatic neuroendocrine carcinomas are rare neoplasms with no effective treatments and poor prognosis. Few reliable preclinical models exist for the study of gastroenteropancreatic neuroendocrine carcinomas, limiting investigation of novel treatments. We used tumor spheroids from our recently established gastroenteropancreatic neuroendocrine carcinoma patient-derived xenograft models to systematically screen for compounds with diverse structures to identify potential new categories of therapeutic agents that can target gastroenteropancreatic neuroendocrine carcinomas.

methodsTumor spheroids were derived from our NEC913 and NEC1452 gastroenteropancreatic neuroendocrine carcinoma patient-derived xenograft models. Gastroenteropancreatic neuroendocrine carcinoma spheroids were screened against a library of 885 compounds from the National Cancer Institute Diversity Set VII collection. Cell viability was measured via AlamarBlue assay. After identification of potential therapeutic compounds, synergy screening of a selected group with temozolomide and doxorubicin was performed, and these combinations were further analyzed for γH2AX and phosphorylated-ERK proteins.

resultsWe identified 16 compounds that inhibit over 75% of gastroenteropancreatic neuroendocrine carcinoma spheroid survival. Seven are inhibitors of tyrosyl-DNA phosphodiesterase 1, a DNA repair enzyme working closely with the topoisomerase I complex. When combined with temozolomide or doxorubicin, the tyrosyl-DNA phosphodiesterase 1 inhibitor cytarabine increased the cytotoxic effects of these drugs on NEC1452 cells which was further evidenced by increasing γH2AX and decreasing phosphorylated-ERK in combination treatment compared to temozolomide alone.

conclusionBoth NEC913 and NEC1452 gastroenteropancreatic neuroendocrine carcinoma spheroid lines are useful preclinical models for drug testing. Our library screen revealed these gastroenteropancreatic neuroendocrine carcinoma spheroids are highly sensitive to a novel class of anti-cancer drugs that target nuclear genome stability.

Indexed as

Antineoplastic AgentsCarcinoma, NeuroendocrineIntestinal NeoplasmsNeuroendocrine TumorsPancreatic NeoplasmsPhosphoric Diester HydrolasesStomach NeoplasmsAnimalsDisease Models, AnimalDoxorubicinHumansTemozolomideAntineoplastic AgentsDoxorubicinPhosphoric Diester HydrolasesTemozolomidetyrosyl-DNA phosphodiesterase

Identifiers

PMID37914572
PMCPMC10872605
OpenAlexW4388068118

What OpenQuestion holds

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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.