Evidence map›Paper›PMID 38775859›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Mapping the Single-Cell Differentiation Landscape of Osteosarcoma.

Danh D Truong, Corey Weistuch, Kevin A Murgas, Prasad Admane, Bridgette L King, Jes Chauviere Lee, Salah-E Lamhamedi-Cherradi, Jyothishmathi Swaminathan, Najat C Daw, Nancy Gordon and 7 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. TargetingZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Danh D Truong *Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3200-1297
Corey Weistuch *Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6044-2511
Kevin A Murgas *Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.ORCID 0000-0001-8634-2893
Prasad AdmaneDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-9316-2716
Bridgette L KingDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0002-7613-6775
Jes Chauviere LeeDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0001-0216-3992
Salah-E Lamhamedi-CherradiDepartment of Clinical Cancer Prevention, McCombs Institute, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-8324-4769
Jyothishmathi SwaminathanDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6648-5467
Najat C DawDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6941-8005
Nancy GordonDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-3331-0078
Vidya GopalakrishnanDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-4448-4698
Richard G GorlickDivision of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-8995-2929
Neeta SomaiahDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-0146-7732
Joseph O DeasyDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9437-266X
Antonios G MikosDepartment of Bioengineering, Rice University, Houston, Texas.ORCID 0000-0002-0709-990X
Allen TannenbaumDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.ORCID 0000-0002-0567-5256
Joseph LudwigDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6631-8554

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Three-dimensional Model of Human Ewing SarcomaR01CA180279 · NCI · RICE UNIVERSITY · PI KASPER, FRED KURTIS, LUDWIG, JOSEPH A · 2014 to 2018
$1.8M
Glymphatic function in a transgenic rat model of Alzheimer's diseaseR01AG048769 · NIA · UNIVERSITY OF ROCHESTER · PI BENVENISTE, HELENE D, NEDERGAARD, MAIKEN · 2014 to 2018
$1.4M
NovaSeq6000S10OD024977 · OD · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUFF, VICKI · 2018 to 2018
$995k
MRI molecular imaging of alpha-synuclein aggregates in a mouse model of Parkinson's diseaseR21AG067131 · NIA · BAYLOR COLLEGE OF MEDICINE · PI TANIFUM, ERIC · 2020 to 2020
$440k
Air Force Office of Scientific Research (AFOSR) FA9550-20-1-0029Army Research Office (ARO) W911NF-22-1-0292Breast Cancer Research Foundation (BCRF) BCRF-17-193National Cancer Institute (NCI) RO1 R01CA180279National Institute on Aging (NIA) R01-AG048769NCI NIH HHS L30 CA130659NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA180279NIA NIH HHS R01 AG048769NIA NIH HHS R21 AG067131NIH HHS S10 OD024977
6 · The paper itself

Abstract

purposeThe genetic intratumoral heterogeneity observed in human osteosarcomas poses challenges for drug development and the study of cell fate, plasticity, and differentiation, which are processes linked to tumor grade, cell metastasis, and survival. EXPERIMENTAL

designTo pinpoint errors in osteosarcoma differentiation, we transcriptionally profiled 31,527 cells from a tissue-engineered model that directs mesenchymal stem cells toward adipogenic and osteoblastic fates. Incorporating preexisting chondrocyte data, we applied trajectory analysis and non-negative matrix factorization to generate the first human mesenchymal differentiation atlas.

resultsThis "roadmap" served as a reference to delineate the cellular composition of morphologically complex osteosarcoma tumors and quantify each cell's lineage commitment. Projecting a bulk RNA-sequencing osteosarcoma dataset onto this roadmap unveiled a correlation between a stem-like transcriptomic phenotype and poorer survival outcomes.

conclusionsOur study quantifies osteosarcoma differentiation and lineage, a prerequisite to better understanding lineage-specific differentiation bottlenecks that might someday be targeted therapeutically.

Indexed as

Bone NeoplasmsCell DifferentiationMesenchymal Stem CellsOsteosarcomaCell LineageCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisTranscriptome

Identifiers

PMID38775859
PMCPMC11293971

What Socratic 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 Socratic graph.