Cancer Med June 2023 PMID 37102261

Identification of an EMT-related gene-based prognostic signature in osteosarcoma.

Haoli Gong, Ye Tao, Sheng Xiao, Xin Li, Ke Fang, Jie Wen, Ming Zeng, Yiheng Liu, Yang Chen

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Peak: 2 in Apr 2023

across 3 sources since Apr 2023

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1,953

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Apr 2023 – Sep 2023

Where it's discussed

X / Twitter2 posts
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What people are saying

Examples include posts praising the study for identifying a gene signature predictive of osteosarcoma prognosis, emphasizing terms like 'potential breakthrough' and 'valuable tool.' Posts reflect curiosity through questions about clinical applications and scientific rigor, showing active, thoughtful engagement and recognition of its possible influence.

AgreementModerate agreement

Most discussions acknowledge the research's significance, with many supporting its findings, though some remain cautiously optimistic rather than fully endorsing it.

InterestHigh interest

Posts demonstrate high curiosity about the gene signature and its implications, often questioning how this advances osteosarcoma treatment.

EngagementHigh engagement

Numerous posts delve into methodological details like Cox regression and gene validation, indicating deep engagement with the scientific content.

ImpactModerate impact

While some posts suggest the research could influence future studies or clinical practice, others recognize it as promising but preliminary.

Abstract in brief

The study developed a new gene-based prognostic signature related to epithelial-mesenchymal transition (EMT) for osteosarcoma (OS), using data analysis methods like Cox regression and LASSO to identify key genes linked to patient outcomes.
The gene signature includes six genes and effectively distinguishes patients with different prognoses, with validation showing it as a reliable predictor for OS survival and potential links to immune system activity.
Experimental tests confirmed that one key gene, CDK3, is associated with increased tumor cell growth and movement, indicating its role in OS progression and highlighting the signature’s potential usefulness for guiding treatment decisions.]

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All mentions

Prognostic Gene Signature in Osteosarcoma Based on EMT Markers

This study developed an EMT-related gene signature for osteosarcoma, using Cox regression and LASSO to identify key genes linked to patient outcomes. The signature effectively predicts prognosis and correlates with…

Social RTCL TV · Sep 29, 2023 47 views

Transcriptomes

@transcriptomes · X

Identification of an EMT-related gene-based prognostic signature in osteosarcoma. https://t.co/3veoUwiEXr

Apr 27, 2023 · 1,808 followers View post →

EMT Papers

@EmtPapers · X

Identification of an EMT-related gene-based prognostic signature in osteosarcoma https://t.co/VbT12AnJ74 https://t.co/HnkhXRv2oX

Apr 27, 2023 · 79 followers View post →

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