Raffaello Roesel, Francesco Strati, Camilla Basso, Samantha Epistolio, Paolo Spina, Julija Djordjevic, Elisa Sorrenti, Martina Villa, Agnese Cianfarani, Francesco Mongelli, Jacopo Galafassi, Sotirios G Popeskou, Federica Facciotti, Cecilia Caprera, Federica Melle, Pietro Edoardo Majno-Hurst, Alessandra Franzetti-Pellanda, Sara De Dosso, Ferdinando Bonfiglio, Milo Frattini, Dimitrios Christoforidis, Giandomenica Iezzi
{"title":"Combined tumor-associated microbiome and immune gene expression profiling predict response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer.","authors":"Raffaello Roesel, Francesco Strati, Camilla Basso, Samantha Epistolio, Paolo Spina, Julija Djordjevic, Elisa Sorrenti, Martina Villa, Agnese Cianfarani, Francesco Mongelli, Jacopo Galafassi, Sotirios G Popeskou, Federica Facciotti, Cecilia Caprera, Federica Melle, Pietro Edoardo Majno-Hurst, Alessandra Franzetti-Pellanda, Sara De Dosso, Ferdinando Bonfiglio, Milo Frattini, Dimitrios Christoforidis, Giandomenica Iezzi","doi":"10.1080/2162402X.2025.2465015","DOIUrl":null,"url":null,"abstract":"<p><p>Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemo-radiotherapy (nCRT) followed by surgery. A minority of patients show complete response (CR) to nCRT and may avoid surgery and its functional consequences. Instead, most patients show non-complete response (non-CR) and may benefit from additional treatments to increase CR rates. Reliable predictive markers are lacking. Aim of this study was to identify novel signatures predicting nCRT responsiveness. We performed a combined analysis of tumor-associated microbiome and immune gene expression profiling of diagnostic biopsies from 70 patients undergoing nCRT followed by rectal resection, including 16 with CR and 54 with non-CR. Findings were validated by an independent cohort of 49 patients, including 7 with CR and 42 with non-CR. Intratumoral microbiota significantly differed between CR and non-CR groups at genus and species level. Colonization by bacterial species of <i>Ruminococcus</i> genera was consistently associated with CR, whereas abundance of <i>Fusobacterium</i>, <i>Porhpyromonas</i>, and <i>Oscillibacter</i> species predicted non-CR. Immune gene profiling revealed a panel of 59 differentially expressed genes and significant upregulation of IFN-gamma and -alpha response in patients with CR. Integrated microbiome and immune gene profiling analysis unraveled clustering of microbial taxa with each other and with immune cell-related genes and allowed the identification of a combined signature correctly identifying non-CRS in both cohorts. Thus, combined intratumoral microbiome-immune profiling improves the prediction of response to nCRT. Correct identification of unresponsive patients and of bacteria promoting responsiveness might lead to innovative therapeutic approaches based on gut microbiota pre-conditioning to increase nCRT effectiveness in LARC.</p>","PeriodicalId":48714,"journal":{"name":"Oncoimmunology","volume":"14 1","pages":"2465015"},"PeriodicalIF":6.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853554/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncoimmunology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/2162402X.2025.2465015","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemo-radiotherapy (nCRT) followed by surgery. A minority of patients show complete response (CR) to nCRT and may avoid surgery and its functional consequences. Instead, most patients show non-complete response (non-CR) and may benefit from additional treatments to increase CR rates. Reliable predictive markers are lacking. Aim of this study was to identify novel signatures predicting nCRT responsiveness. We performed a combined analysis of tumor-associated microbiome and immune gene expression profiling of diagnostic biopsies from 70 patients undergoing nCRT followed by rectal resection, including 16 with CR and 54 with non-CR. Findings were validated by an independent cohort of 49 patients, including 7 with CR and 42 with non-CR. Intratumoral microbiota significantly differed between CR and non-CR groups at genus and species level. Colonization by bacterial species of Ruminococcus genera was consistently associated with CR, whereas abundance of Fusobacterium, Porhpyromonas, and Oscillibacter species predicted non-CR. Immune gene profiling revealed a panel of 59 differentially expressed genes and significant upregulation of IFN-gamma and -alpha response in patients with CR. Integrated microbiome and immune gene profiling analysis unraveled clustering of microbial taxa with each other and with immune cell-related genes and allowed the identification of a combined signature correctly identifying non-CRS in both cohorts. Thus, combined intratumoral microbiome-immune profiling improves the prediction of response to nCRT. Correct identification of unresponsive patients and of bacteria promoting responsiveness might lead to innovative therapeutic approaches based on gut microbiota pre-conditioning to increase nCRT effectiveness in LARC.
期刊介绍:
OncoImmunology is a dynamic, high-profile, open access journal that comprehensively covers tumor immunology and immunotherapy.
As cancer immunotherapy advances, OncoImmunology is committed to publishing top-tier research encompassing all facets of basic and applied tumor immunology.
The journal covers a wide range of topics, including:
-Basic and translational studies in immunology of both solid and hematological malignancies
-Inflammation, innate and acquired immune responses against cancer
-Mechanisms of cancer immunoediting and immune evasion
-Modern immunotherapies, including immunomodulators, immune checkpoint inhibitors, T-cell, NK-cell, and macrophage engagers, and CAR T cells
-Immunological effects of conventional anticancer therapies.