Evidence map›Paper›PMID 35325095›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Preclinical Modeling of Leiomyosarcoma Identifies Susceptibility to Transcriptional CDK Inhibitors through Antagonism of E2F-Driven Oncogenic Gene Expression.

Matthew L Hemming, Patrick Bhola, Michael A Loycano, Justin A Anderson, Madeleine L Taddei, Leona A Doyle, Elizaveta Lavrova, Jessica L Andersen, Kelly S Klega, Morgan R Benson and 6 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. 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
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Hyper-Dependence on NHEJ Enables Synergy between DNA-PK Inhibitors and Low-Dose Doxorubicin in Leiomyosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  5. Review
  6. Review
  7. Not All Leiomyosarcomas Are the Same: How to Best Classify LMS.Current treatment options in oncology · 2023
    Review
  8. Review
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

16 authors at 4 institutions in 1 country.

Matthew L HemmingDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4674-7778
Patrick BholaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Michael A LoycanoDepartment of Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-3597-7631
Justin A AndersonDepartment of Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Madeleine L TaddeiDepartment of Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1302-5202
Leona A DoyleDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-1110-3753
Elizaveta LavrovaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Jessica L AndersenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Kelly S KlegaDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3424-2003
Morgan R BensonDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Brian D CromptonDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-9404-6621
Chandrajit P RautDepartment of Surgery, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-7297-3221
Suzanne GeorgeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Anthony LetaiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1993-9013
George D DemetriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-0045-4809
Ewa SicinskaDepartment of Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Dana-Farber Cancer Institute · USHarvard University · USBrigham and Women's Hospital · USDana-Farber Brigham Cancer Center · US

Funding

Reading mitochondrial apoptotic signaling to identify active cancer therapeuticsR35CA242427 · NCI · DANA-FARBER CANCER INST · PI LETAI, ANTHONY G · 2019 to 2025
$7.0M
(PQ5) Investigation of intertumoral and intratumoral heterogeneity of mitochondrial apoptotic sensitivityR01CA205967 · NCI · DANA-FARBER CANCER INST · PI LETAI, ANTHONY G · 2016 to 2019
$2.0M
Defining clinically relevant transcriptional networks in gastrointestinal stromal tumorK08CA245235 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HEMMING, MATTHEW · 2020 to 2024
$1.2M
NCI NIH HHS K08 CA245235NCI NIH HHS R01 CA205967NCI NIH HHS R35 CA242427
6 · The paper itself

Abstract

purposeLeiomyosarcoma (LMS) is a neoplasm characterized by smooth muscle differentiation, complex copy-number alterations, tumor suppressor loss, and the absence of recurrent driver mutations. Clinical management for advanced disease relies on the use of empiric cytotoxic chemotherapy with limited activity, and novel targeted therapies supported by preclinical research on LMS biology are urgently needed. A lack of fidelity of established LMS cell lines to their mesenchymal neoplasm of origin has limited translational understanding of this disease, and few other preclinical models have been established. Here, we characterize patient-derived xenograft (PDX) models of LMS, assessing fidelity to their tumors of origin and performing preclinical evaluation of candidate therapies. EXPERIMENTAL

designWe implanted 49 LMS surgical samples into immunocompromised mice. Engrafting tumors were characterized by histology, targeted next-generation sequencing, RNA sequencing, and ultra-low passage whole-genome sequencing. Candidate therapies were selected based on prior evidence of pathway activation or high-throughput dynamic BH3 profiling.

resultsWe show that LMS PDX maintain the histologic appearance, copy-number alterations, and transcriptional program of their parental tumors across multiple xenograft passages. Transcriptionally, LMS PDX cocluster with paired LMS patient-derived samples and differ primarily in host-related immunologic and microenvironment signatures. We identify susceptibility of LMS PDX to transcriptional cyclin-dependent kinase (CDK) inhibition, which disrupts an E2F-driven oncogenic transcriptional program and inhibits tumor growth.

conclusionsOur results establish LMS PDX as valuable preclinical models and identify strategies to discover novel vulnerabilities in this disease. These data support the clinical assessment of transcriptional CDK inhibitors as a therapeutic strategy for patients with LMS.

Indexed as

LeiomyosarcomaAnimalsCarcinogenesisDisease Models, AnimalGene ExpressionHeterograftsHumansMiceSequence Analysis, RNATumor Microenvironment

Identifiers

PMID35325095
PMCPMC9167705
OpenAlexW4221114948

What OpenQuestion holds

Textmetadata
LicenceTDM
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.