Evidence map›Paper›PMID 32914012›Full record

ReviewJCO precision oncology2019

Precision Oncology in Sarcomas: Divide and Conquer.

Roberto Carmagnani Pestana, Roman Groisberg, Jason Roszik, Vivek Subbiah

Open access · greenAbstract readReview
In one paragraph

Review in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Impact of Biomarker-Matched Therapies on Outcomes in Patients with Sarcoma Enrolled in Early-Phase Clinical Trials (SAMBA 101).Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  9. Examining Stripes on a Herd of Zebras: Impact of Genomic Matching for Ultrarare Sarcomas in Phase 1 Clinical Trials (SAMBA 102).Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Clinical Activity of Single-Agent Cabozantinib (XL184), a Multi-receptor Tyrosine Kinase Inhibitor, in Patients with Refractory Soft-Tissue Sarcomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  14. Article
  15. Cancers · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
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

4 authors at 1 institution in 1 country.

Roberto Carmagnani PestanaThe University of Texas MD Anderson Cancer Center, Houston, TX.
Roman GroisbergThe University of Texas MD Anderson Cancer Center, Houston, TX.
Jason RoszikThe University of Texas MD Anderson Cancer Center, Houston, TX.
Vivek SubbiahThe University of Texas MD Anderson Cancer Center, Houston, TX.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Informatics to enable routine personalized cancer therapyU01CA180964 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BERNSTAM, ELMER V., MERIC-BERNSTAM, FUNDA · 2013 to 2015
$964k
NCI NIH HHS P30 CA016672NCI NIH HHS U01 CA180964
6 · The paper itself

Abstract

Sarcomas are a heterogeneous group of rare malignancies that exhibit remarkable heterogeneity, with more than 50 subtypes recognized. Advances in next-generation sequencing technology have resulted in the discovery of genetic events in these mesenchymal tumors, which in addition to enhancing understanding of the biology, have opened up avenues for molecularly targeted therapy and immunotherapy. This review focuses on how incorporation of next-generation sequencing has affected drug development in sarcomas and strategies for optimizing precision oncology for these rare cancers. In a significant percentage of soft tissue sarcomas, which represent up to 40% of all sarcomas, specific driver molecular abnormalities have been identified. The challenge to evaluate these mutations across rare cancer subtypes requires the careful characterization of these genetic alterations to further define compelling drivers with therapeutic implications. Novel models of clinical trial design also are needed. This shift would entail sustained efforts by the sarcoma community to move from one-size-fits-all trials, in which all sarcomas are treated similarly, to divide-and-conquer subtype-specific strategies.

Identifiers

PMID32914012
PMCPMC7446356
OpenAlexW2942099552

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.