Evidence map›Paper›PMID 37292676›Full record

ArticlebioRxiv : the preprint server for biology2023

The landscape of drug sensitivity and resistance in sarcoma.

Ahmad Al Shihabi, Peyton J Tebon, Huyen Thi Lam Nguyen, Jomjit Chantharasamee, Sara Sartini, Ardalan Davarifar, Alexandra Y Jensen, Miranda Diaz-Infante, Hannah Cox, Alfredo Enrique Gonzalez and 15 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 4 institutions in 2 countries.

Ahmad Al Shihabi
Peyton J Tebon
Huyen Thi Lam Nguyen
Jomjit Chantharasamee
Sara Sartini
Ardalan Davarifar
Alexandra Y Jensen
Miranda Diaz-Infante
Hannah Cox
Alfredo Enrique Gonzalez
Summer Swearingen
Nasrin Tavanaie
Sarah Dry
Arun Singh
Bartosz Chmielowski
Joseph G Crompton
Anusha Kalbasi
Fritz C Eilber
Francis Hornicek
Nicholas Bernthal
Scott D Nelson
Paul C Boutros
Noah Federman
Jane Yanagawa
University of California, Los Angeles · USCalifornia NanoSystems Institute · USSiriraj Hospital · THUniversity of Miami · US

Funding

The Evolution of Sarcoma Drug Sensitivity through Time and SpaceR01CA244729 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOUTROS, PAUL CHRISTOPHER, SORAGNI, ALICE · 2020 to 2024
$3.4M
Evaluating the impact of genetic ancestry on the biology and drug response profile of pheochromocytoma and paraganglioma-derived organoid modelsR01CA264248 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DAHIA, PATRICIA LEAL, SORAGNI, ALICE · 2021 to 2025
$3.2M
NCI NIH HHS R01 CA244729NCI NIH HHS R01 CA264248
6 · The paper itself

Abstract

Sarcomas are a family of rare malignancies composed of over 100 distinct histological subtypes. The rarity of sarcoma poses significant challenges in conducting clinical trials to identify effective therapies, to the point that many rarer subtypes of sarcoma do not have standard-of-care treatment. Even for established regimens, there can be substantial heterogeneity in responses. Overall, novel, personalized approaches for identifying effective treatments are needed to improve patient out-comes. Patient-derived tumor organoids (PDTOs) are clinically relevant models representative of the physiological behavior of tumors across an array of malignancies. Here, we use PDTOs as a tool to better understand the biology of individual tumors and characterize the landscape of drug resistance and sensitivity in sarcoma. We collected n=194 specimens from n=126 sarcoma patients, spanning 24 distinct subtypes. We characterized PDTOs established from over 120 biopsy, resection, and metastasectomy samples. We leveraged our organoid high-throughput drug screening pipeline to test the efficacy of chemotherapeutics, targeted agents, and combination therapies, with results available within a week from tissue collection. Sarcoma PDTOs showed patient-specific growth characteristics and subtype-specific histopathology. Organoid sensitivity correlated with diagnostic subtype, patient age at diagnosis, lesion type, prior treatment history, and disease trajectory for a subset of the compounds screened. We found 90 biological pathways that were implicated in response to treatment of bone and soft tissue sarcoma organoids. By comparing functional responses of organoids and genetic features of the tumors, we show how PDTO drug screening can provide an orthogonal set of information to facilitate optimal drug selection, avoid ineffective therapies, and mirror patient outcomes in sarcoma. In aggregate, we were able to identify at least one effective FDA-approved or NCCN-recommended regimen for 59% of the specimens tested, providing an estimate of the proportion of immediately actionable information identified through our pipeline. Highlights: Standardized organoid culture preserve unique sarcoma histopathological featuresDrug screening on patient-derived sarcoma organoids provides sensitivity information that correlates with clinical features and yields actionable information for treatment guidanceHigh-throughput screenings provide orthogonal information to genetic sequencingSarcoma organoid response to treatment correlates with patient response to therapyLarge scale, functional precision medicine programs for rare cancers are feasible within a single institution.

Identifiers

PMID37292676
PMCPMC10245988
OpenAlexW4378373911

What OpenQuestion holds

Textmetadata
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.