Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer.

Karan K Budhraja, Bradon R McDonald, Michelle D Stephens, Tania Contente-Cuomo, Havell Markus, Maria Farooq, Patricia F Favaro, Sydney Connor, Sara A Byron, Jan B Egan, Brenda Ernst, Timothy K McDaniel, Aleksandar Sekulic, Nhan L Tran, Michael D Prados

January 2023 Sci Transl Med

Synopsis of Social media discussions

Several discussions emphasize the innovative use of machine learning and fragmentation patterns in cell-free DNA to improve cancer detection, referencing the high accuracy rates mentioned in the publication, such as AUC scores of 0.91 and 0.87 for early-stage detection. The tone is optimistic and forward-thinking, with phrases like 'promise for screening' and 'game-changing' reflecting a strong belief in the potential impact of these findings on future cancer diagnostics.

A
Agreement
 Strong agreement

Most discussions show strong support for the findings and methods presented in the publication.

I
Interest
 High level of interest

The discussions highlight a keen interest in the application and implications of cell-free DNA analysis for cancer diagnostics.

E
Engagement
 High engagement

Participants demonstrate deep engagement with the content by referencing specific methods, results, and potential real-world applications.

I
Impact
 High level of impact

Many contributors believe that the study represents a significant advancement in cancer detection and could greatly influence future clinical practices.

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Advancements in Cancer Diagnosis Using cfDNA Analysis

Advancements in Cancer Diagnosis Using cfDNA Analysis

This video discusses groundbreaking research on cell-free DNA (cfDNA) analysis in cancer diagnostics. By examining cfDNA from 2,668 samples, the study highlights how genomic fragmentation patterns can distinguish between healthy and cancerous cells, presenting new opportunities for early cancer detection.

Cameron Sandgren

February 25, 2023

14 views

  • TakaraBioUSA
    @TakaraBioUSA (Twitter)

    Can fragmentation patterns of cell-free DNA be used to identify the presence of tumor-derived DNA in blood? Yes! Read more in Sci Transl Med: https://t.co/6XlWqFQukm ThruPLEX kits were used for library prep. Learn: https://t.co/aSfuY2pcjf #AAAS #CancerResearch #NGS #DNAseq https://t.co/KHC2L1gs3E
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  • Kaleem S. Ahmed, MBBS (MD), MSAI
    @KaleemSAhmed (Twitter)

    RT @MurtazaMDPhD: honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for t…
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  • M Murtaza
    @MurtazaMDPhD (Twitter)

    honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for the potential of science to improve cancer outcomes. Original and follow-up studies: https://t.co/Jt9GESt5rd https://t.co/dh928URdCc https://t.co/saXM8b01oY https://t.co/xrgQHYaZmH
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  • Rebecca Minter
    @MinterWiscSurg (Twitter)

    RT @MurtazaMDPhD: The project utilized GALYFRE (Genomewide Analysis of Fragment Ends), a plasma DNA fragmentation test we described in an @…
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    December 16, 2024

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  • M Murtaza
    @MurtazaMDPhD (Twitter)

    The project utilized GALYFRE (Genomewide Analysis of Fragment Ends), a plasma DNA fragmentation test we described in an @ScienceTM paper published last year, re-trained and validated now for detection of pancreatic cancer https://t.co/TSHXx81hwk
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  • TakaraBioUSA
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    Trails of DNA breadcrumbs in the blood lead to ID’ing cancer in patients. Scientists @UW_CHGPM show, for the 1st time, that #CellFreeDNA fragment patterns differentiate tumor from healthy cells. Read: https://t.co/3lSnNETf4t #Fragmentomics #Biomarkers #LiquidBiopsy #TGSThursday
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    May 25, 2023

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    February 1, 2023

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    RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
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  • Endgamezero
    @endgamezero (Twitter)

    "We observed an area under the receiver operative characteristic curve (AUC) of 0.91 for detection of cancer at any stage & an AUC of 0.87 for detection of stage I cancer." good news for EARLY detection of circulating cancer cells using machine learning. https://t.co/mw0ujUeosk
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    January 23, 2023

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    RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
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    January 21, 2023

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  • Top Science
    @isciverse (Twitter)

    fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewDocs #MedEd #MedTwitter #medicine #medical #medicare #health #healthcare #FOAMed #ClinicalPearl #clinicaltips #MedStudents #Cancer https://t.co/aD6OzJs5LE https://t.co/DtmQVhGOrz
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  • Patrick Muncaster
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  • Cancer_Evolve
    @cancer_evolve (Twitter)

    EARLY DETECTION: analysis of fragmentation patterns (which are influenced by tissue-specific chromatin accessibility) has the potential to improve the accuracy of circulating tumour DNA for the early detection of cancer. https://t.co/kITArC5OGo
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  • Denis Odinokov
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    RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
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    January 17, 2023

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    January 17, 2023

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  • UW MSTP (University of Wisconsin-Madison)
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    January 12, 2023

    42

  • The Innovation | Medicine
    @Innov_Medicine (Twitter)

    RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
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    January 12, 2023

    42

  • The()Graduate
    @firexgamerx (Twitter)

    RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
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    January 12, 2023

    42

  • Eriseld Krasniqi
    @KrasniqiEriseld (Twitter)

    RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
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    January 12, 2023

    42

  • Vivek Subbiah, MD
    @VivekSubbiah (Twitter)

    Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/ljUxAoj664
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    January 12, 2023

    1

    1

  • cfDNA papers
    @cfDNA_papers (Twitter)

    Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/tVogATrfGY https://t.co/qWai1AOdQT
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    January 11, 2023

    2

    1

  • Oncology & Machine Learning
    @MlOncology (Twitter)

    Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/2IFnoxVk8c
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    January 11, 2023

  • Seiichi Mori
    @seiichi_mori (Twitter)

    Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/RFbShhT0py https://t.co/UI77dz3qQG
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    January 11, 2023

Abstract Synopsis

  • Genome-wide fragmentation patterns of cell-free DNA (cfDNA) in plasma are influenced by the cellular origin, which varies between healthy and cancerous cells, presenting an opportunity for new cancer diagnostics.
  • The study analyzed cfDNA from 2,668 samples, including those from healthy individuals and patients with 11 different cancer types, using a novel metric called information-weighted fraction of aberrant fragments (iwFAF) to identify tumor-derived DNA in blood samples.
  • A machine learning model was developed using iwFAF and specific nucleotide frequencies, achieving a high accuracy in distinguishing between healthy and cancer patients, with an AUC of 0.91 for any cancer stage and 0.87 for early-stage detection, while requiring only