Evidence map›Paper›PMID 37808704›Full record

ArticlebioRxiv : the preprint server for biology2023

Large Scale Comparative Deconvolution Analysis of the Canine and Human Osteosarcoma Tumor Microenvironment Uncovers Conserved Clinically Relevant Subtypes.

Sushant Patkar, Josh Mannheimer, Stephanie Harmon, Christina Mazcko, Peter Choyke, G Tom Brown, Baris Turkbey, Amy LeBlanc, Jessica Beck

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. 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
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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Sushant PatkarArtificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Josh MannheimerComparative Oncology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Stephanie HarmonArtificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Christina MazckoComparative Oncology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Peter ChoykeArtificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
G Tom BrownArtificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Baris TurkbeyArtificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Amy LeBlancComparative Oncology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Jessica BeckComparative Oncology Program, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
National Cancer Institute · US

Funding

DNA TOPOISOMERASES AS TARGET OF ACTION OF ANTICANCER DRUGSZ01BC006161 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 1996 to 2008
$1.5M
Intramural NIH HHS Z01 BC006161
6 · The paper itself

Abstract

Osteosarcoma is a relatively rare but aggressive cancer of the bones with a shortage of effective biomarkers. Although less common in humans, Osteosarcomas are fairly common in adult pet dogs and have been shown to share many similarities with their human analogs. In this work, we analyze bulk transcriptomic data of 213 primary and 100 metastatic Osteosarcoma samples from 210 pet dogs enrolled in nation-wide clinical trials to uncover three Tumor Microenvironment (TME)-based subtypes: Immune Enriched (IE), Immune Enriched Dense Extra-Cellular Matrix-like (IE-ECM) and Immune Desert (ID) with distinct cell type compositions, oncogenic pathway activity and chromosomal instability. Furthermore, leveraging bulk transcriptomic data of canine primary tumors and their matched metastases from different sites, we characterize how the Osteosarcoma TME evolves from primary to metastatic disease in a standard of care clinical setting and assess its overall impact on clinical outcomes of canines. Most importantly, we find that TME-based subtypes of canine Osteosarcomas are conserved in humans and predictive of progression free survival outcomes of human patients, independently of known prognostic biomarkers such as presence of metastatic disease at diagnosis and percent necrosis following chemotherapy. In summary, these results demonstrate the power of using canines to model the human Osteosarcoma TME and discover novel biomarkers for clinical translation.

Identifiers

PMID37808704
PMCPMC10557692
OpenAlexW4387159495

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.