Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab.
Alberto Hernando-Calvo, S Y Cindy Yang, Maria Vila-Casadesús, Ming Han, Zhihui Amy Liu, A Hal K Berman, Anna Spreafico, Albiruni Abdul Razak, Stephanie Lheureux, Aaron R Hansen, Deborah Lo Giacco, Farnoosh Abbas-Aghababazadeh, Judith Matito, Benjamin Haibe-Kains, Trevor J Pugh
August 2024 JCO Precis OncolSynopsis of Social media discussions
Participants mainly express positive reception and recognition of the study's potential, calling it a 'significant' or 'innovative' approach, with phrases such as 'associates with clinical outcomes' and references to the article's relevance for personalized medicine. The tone is predominantly informative and hopeful, signaling a belief in the study's importance but with some engaged also discussing specific biomarkers like VIGex and ctDNA that hint at deeper interest and understanding.
Agreement
Moderate agreementMost discussions acknowledge the importance of the study, highlighting its contribution to personalized cancer treatment and biomarker analysis, thus showing general agreement with its significance.
Interest
High level of interestThe high interest score reflects curiosity about the novel combination of transcriptome and ctDNA analysis and its implications for treatment outcomes, as evident from enthusiastic language and calls to access full articles.
Engagement
Moderate level of engagementPosts demonstrate moderate depth, with some discussing specific methods like the use of VIGex and circulating tumor DNA, while others merely share links or superficial summaries.
Impact
Moderate level of impactThe discussions suggest the findings could influence future research and clinical practice, but emphasis remains on the potential rather than confirmed change, leading to a moderate impact score.
Social Mentions
YouTube
1 Videos
Bluesky
1 Posts
11 Posts
News
4 Articles
Metrics
Video Views
45
Total Likes
20
Extended Reach
30,016
Social Features
17
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Biomarker Analysis Predicts Pembrolizumab Outcomes in Solid Tumors
This study investigates the effectiveness of VIGex, a gene expression classifier, combined with circulating tumor DNA measurements, in predicting clinical outcomes for patients with advanced solid tumors treated with pembrolizumab.
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Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab scientiasalut.gencat.cat/handle/11351... #ScientiaVH
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BibliotecaHUVH
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@FundacionECO (Twitter)#Paper | Combined Transcriptome and Circulating #Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With #Pembrolizumab @ASCO @JCOPO_ASCO Access the entire article here
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@JCOPO_ASCO (Twitter)Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab: https://t.co/OY1pWxdnUb
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@BibliotecaHUVH (Twitter)Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab https://t.co/j3oLWgRgWA #hvhebron #onco [Text complet]
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Abstract Synopsis
- The study investigates the effectiveness of VIGex, a gene expression classifier, combined with circulating tumor DNA (ctDNA) measurements, in predicting clinical outcomes for patients with advanced solid tumors treated with pembrolizumab, an immunotherapy drug.
- Results showed that patients classified as VIGexHot had better objective response rates, higher overall survival, and longer progression-free survival compared to other subgroups, especially when combined with changes in ctDNA levels.
- Incorporating ctDNA data with VIGex classification enhances the ability to predict treatment success, suggesting that this combined biomarker approach could improve personalized treatment strategies for immunotherapy patients.]
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