JCO Precis Oncol July 2023 PMID 37467458

Performance of a Cell-Free DNA-Based Multi-cancer Detection Test in Individuals Presenting With Symptoms Suspicious for Cancers.

Alan H Bryce, David D Thiel, Michael V Seiden, Donald Richards, Ying Luan, Marie Coignet, Quan Zhang, Nan Zhang, Earl Hubbell, Kathryn N Kurtzman, Eric A Klein

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Peak: 21 in Jul 2023

across 4 sources since Jul 2023

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What people are saying

The discussions reflect a positive stance towards the article, with phrases like 'exciting frontier' and 'potential to aid in diagnosis' illustrating enthusiasm for the technology's promise. The tone and word choice suggest a recognition of its importance, balanced with an understanding of ongoing research and development, which supports the rated levels of interest and moderate engagement.

AgreementModerate agreement

Most discussions acknowledge the promising results of the multi-cancer detection test and express support for its potential clinical utility.

InterestHigh interest

The topics generate high interest due to the innovative nature of liquid biopsies and their implications for early cancer detection.

EngagementModerate engagement

Comments often highlight enthusiasm for the research, referencing specific studies and potential benefits, showing moderate depth of engagement.

ImpactModerate impact

Participants believe this research could significantly influence future cancer diagnostics and patient outcomes, although some express cautious optimism.

Abstract in brief

The study validated a blood-based test that uses methylation patterns and machine learning to detect multiple types of cancer in people showing symptoms, with high specificity (94-99%) and moderate sensitivity (around 64-84%), especially for gastrointestinal cancers.
The test was also good at predicting the cancer’s origin, with over 90% accuracy, and it performed similarly in older adults (65+) compared to the overall group.
Participants with cancers that the test missed had better survival rates than expected, suggesting that the test is more likely to detect more aggressive cancers, providing useful prognostic information for doctors.]

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Evaluating Multi-Cancer Detection Test Performance in Symptomatic Patients

Dr. Eric Klein discusses the validation of a blood-based multi-cancer detection test that uses methylation patterns and machine learning to identify various cancers in symptomatic individuals, highlighting its high…

ASCO Podcasts · Apr 3, 2024 12 views

Eileen M O’Reilly

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RT @BenWestphalen: #cancer

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System

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Joao Fogacci

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RT @BenWestphalen: #cancer

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JCO Precision Oncology

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Melinda Bachini

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RT @BenWestphalen: #cancer

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Nirmal Raut

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OncoAlert

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Timothy Chao

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RT @BenWestphalen: #cancer

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Umberto Malapelle

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RT @BenWestphalen: #cancer

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Ben Westphalen

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#cancer

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Seiichi Mori

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Performance of a Cell-Free DNA-Based Multi-cancer Detection Test in Individuals Presenting With Symptoms Suspicious for Cancers https://t.co/Qtn0sBuf0L https://t.co/5OQTXKKX5l

Jul 24, 2023 · 312 followers View post →

Kevin Spring

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