<code id='0F0FFBD1A8'></code><style id='0F0FFBD1A8'></style>
    • <acronym id='0F0FFBD1A8'></acronym>
      <center id='0F0FFBD1A8'><center id='0F0FFBD1A8'><tfoot id='0F0FFBD1A8'></tfoot></center><abbr id='0F0FFBD1A8'><dir id='0F0FFBD1A8'><tfoot id='0F0FFBD1A8'></tfoot><noframes id='0F0FFBD1A8'>

    • <optgroup id='0F0FFBD1A8'><strike id='0F0FFBD1A8'><sup id='0F0FFBD1A8'></sup></strike><code id='0F0FFBD1A8'></code></optgroup>
        1. <b id='0F0FFBD1A8'><label id='0F0FFBD1A8'><select id='0F0FFBD1A8'><dt id='0F0FFBD1A8'><span id='0F0FFBD1A8'></span></dt></select></label></b><u id='0F0FFBD1A8'></u>
          <i id='0F0FFBD1A8'><strike id='0F0FFBD1A8'><tt id='0F0FFBD1A8'><pre id='0F0FFBD1A8'></pre></tt></strike></i>

          entertainment

          entertainment

          author:knowledge    Page View:3774
          Medical illustration of Streptococcus pneumoniae bacteria
          A medical illustration of drug-resistant, Streptococcus pneumoniae bacteria. Antibiotic Resistance Coordination and Strategy Unit/CDC

          Micronoma, a San Diego-based biotech startup, was founded on the idea that signatures from microbes that colonize tumors could lead to a blood test to detect cancer. The hypothesis was based on a high-profile Nature paper, published in 2020, that suggested these microbes are consistently found in tumors, and that they create such specific signatures they could be used to identify cancer types with nearly 100% accuracy.

          But late Monday night, a team of researchers published a manuscript on the preprint site bioRxiv.com showing what they believe to be two “fatal errors” in the Nature paper’s analyses, invalidating not only the paper’s findings but possibly the scientific foundation for Micronoma, which has raised an estimated $17.5 million in funding from investors including SymBiosis Capital Management and the Seerave Foundation.

          advertisement

          One allegation is that the Nature paper’s authors didn’t adequately filter out human DNA from their database of tumor samples, leading them to incorrectly classify millions of human sequences as bacterial. The other is that a separate error led the team’s algorithm to find false associations between specific microbial signatures and cancer types.

          Unlock this article by subscribing to STAT+ and enjoy your first 30 days free!

          GET STARTED Log In

          explore

          Virginia high school admissions case could be legal follow
          Virginia high school admissions case could be legal follow

          3:24DemonstratorsprotestoutsideoftheSupremeCourtinWashington,Thursday,June29,2023,aftertheSupremeCou

          read more
          Study: People of West African ancestry at greater risk of cardiac amyloidosis
          Study: People of West African ancestry at greater risk of cardiac amyloidosis

          AdobeAmongcardiologists,it’sknownthattransthyretincardiacamyloidosis,atypeofheartdisease,iscausedbyt

          read more
          In Memoriam: Notable people who died in 2023
          In Memoriam: Notable people who died in 2023

          1:29AlanArkinattendsthe26thAnnualScreenActorsGuildAwardsatTheShrineAuditoriumonJan.19,2020inLosAngel

          read more

          H5N1 bird flu: what we're starting to learn about infection in cows

          Illustration:ChristineKao/STAT;Photos:Getty,AP,AdobeTheH5N1birdfluvirushasbeenaroundfordecades,andth