Gut metatranscriptomics based de novo assembly reveals microbial signatures predicting immunotherapy outcomes in non-small cell lung cancer
According to ML models specific gut microbiome MTR signatures' associate with ICI treated NSCLC outcomes. Specific gene clusters and taxa MTR gene expression might differentiate long vs short PFS.
Authors
- Balázs Ligeti (ORCID: https://orcid.org/0000-0003-0301-0434)
- Edit Dulka
- Petèr Király (ORCID: https://orcid.org/0000-0002-7980-4401)
- Dávid Dóra (ORCID: https://orcid.org/0000-0002-2975-5701)
- Zoltán Lohinai (ORCID: https://orcid.org/0000-0002-6442-9530)
- Gabriella Gálffy (ORCID: https://orcid.org/0000-0001-7255-035X)
- Csenge Somodi
Institutions
- Semmelweis University (HU)
- Pázmány Péter Catholic University (HU)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1186/s12967-024-05835-y
- Citations
- 11
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 2.57
Funders
- International Association for the Study of Lung Cancer
- Magyar Tudományos Akadémia
- Innovációs és Technológiai Minisztérium
- Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
- National Research, Development and Innovation Office