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    Home > Active Ingredient News > Digestive System Information > Gut: Zhengzhou University Mingming: Zhaoming Zhang/Zhaoming Li et al. discovered intestinal flora as a noninvasive diagnostic and prognostic biomarker for natural killer/T-cell lymphoma

    Gut: Zhengzhou University Mingming: Zhaoming Zhang/Zhaoming Li et al. discovered intestinal flora as a noninvasive diagnostic and prognostic biomarker for natural killer/T-cell lymphoma

    • Last Update: 2022-11-25
    • Source: Internet
    • Author: User
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    The "microbiota-gut-lymphoma axis" represents an interesting pathway for flora-mediated lymphomagenesis and intervention opportunities, but the intestinal flora is particularly important in natural killer/T-cell lymphoma ( NKTCL) remains a mystery
    .

    On November 8, 2022, Zhang Mingming, Li Zhaoming of Zhengzhou University and Chen Weihua of Huazhong University of Science and Technology jointly published a title online on Gut(IF=32).
    "Gut microbiota as non- invasive diagnostic and prognostic biomarkers for natural killer/T-cell lymphoma"
    research paper showing that gut flora can act as a natural killer/T Noninvasive diagnostic and prognostic biomarkers for cellular lymphoma
    .
    The study recruited a discovery
    cohort that included 30 treatment groups – naïve patients and 20 healthy controls (HCs), and a validation cohort, which included, respectively 12 patients and 13 HCs
    .
    The authors performed
    "shotgun method" metagenomic sequencing on their stool samples, analyzed their gut metagenomics using mOTUs2V.
    2.
    5,
    and used SIAMCAT The implemented LASSO algorithm trains a patient stratification classifier
    with all species-level classification features.
    The classifier of this study
    achieved an accuracy of 0.
    868
    under the receiver operating characteristic curve (AUROC) on the discovery cohort and 0.
    910 AUROC accuracy on the validation cohort
    .
    To increase the sample size for model training, the authors retrained the
    LASSO classifier for NKTCL using all samples from both cohorts and achieved an accuracy
    of 0.
    813.
    AUROC cross-validation, which strongly supports the role of gut microbiota as a diagnostic biomarker for NKTCL.

    To examine the specificity of NKTCL gut microbiota-derived features, the authors applied a whole-sample NKTCL classifier to 29 cohorts
    of public gut microbiota.
    The authors observed
    an overall false-positive rate (FPR) of 3.
    1% for HC
    , but higher FPR in patients with several cohorts, particularly pancreatic cancer, Crohn's disease, and liver disease
    .
    These results imply a significant overlap of biomarkers between these diseases and
    NKTCL, which was confirmed by LEfSe analysis
    .

    Importantly, these biomarkers were consistently enriched/decreased in most cohorts, including the enrichment of oral-derived Veillonella and Streptococcus in patients, as well as HCs Known beneficial species such as Faecalibacterium prausnitzii, Eubacterium rectale and Bifidobacte-rium adolescentis
    .
    These results suggest that the authors' classifier can accurately distinguish
    NKTCL patients from HCs; However, since there are biomarkers that are shared with other diseases, combining selected clinical indicators with microbiota biomarkers will help establish unique diagnostic models
    .

    Results of the relevant data (image from Gut).

    Survival data for NKTCL patients in the cohort were found to be available
    .
    Of note, many identified biota biomarkers, particularly those shared by multiple diseases, can significantly predict overall
    survival (OS) and progression-free survival (PFS) in patients, including Streptococcus paraserpentineus, timmonensis, and dyspora (Online supplementary Figures 1A-D).

    Finally, the authors established
    the Streptococcus parasanguinis, Romboutsia timonensis and the Veillonella atypica index (SRI).
    As the relative abundance ratio of the two species, the best predictive power
    is obtained than other individual species and combinations.
    That is,
    NKTCL patients with higher SRI scores had significantly lower OS and PFS than SRI Patients
    with lower scores.
    In addition, the authors observed
    a significant correlation
    between high SRI scores and multiple adverse prognostic factors for NKTCL.

    In conclusion, the results of this study support the use of intestinal flora as an effective auxiliary diagnostic tool
    for NKTCL.
    In addition, SRI scores based on shared biomarkers
    may have broad utility in the prognosis of multiple diseases and warrant further investigation
    .

    Original link:

    https://gut.
    bmj.
    com/content/early/2022/11/08/gutjnl-2022-328256?rss=1

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