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":"联合肿瘤相关微生物组和免疫基因表达谱预测局部晚期直肠癌对新辅助化疗的反应。","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":"{\"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. 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Combined tumor-associated microbiome and immune gene expression profiling predict response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer.
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.