Intestinal microbiota composition is predictive of radiotherapy-induced acute gastrointestinal toxicity in prostate cancer patients

被引:1
|
作者
Iacovacci, Jacopo [1 ]
Serafini, Mara Serena [2 ]
Avuzzi, Barbara [3 ]
Badenchini, Fabio [4 ]
Cicchetti, Alessandro [1 ]
Devecchi, Andrea [2 ]
Dispinzieri, Michela [3 ]
Doldi, Valentina [5 ]
Giandini, Tommaso [6 ]
Gioscio, Eliana [1 ]
Mancinelli, Elisa [2 ]
Chiorda, Barbara Noris [3 ]
Orlandi, Ester [7 ]
Palorini, Federica [4 ]
Possenti, Luca [1 ]
Ferreira, Miguel Reis [8 ,9 ]
Villa, Sergio [3 ]
Zaffaroni, Nadia [5 ]
De Cecco, Loris [2 ]
Valdagni, Riccardo [3 ,4 ,10 ]
Rancati, Tiziana [1 ,10 ]
机构
[1] Fdn IRCCS Ist Nazl Tumori Milano, Data Sci Unit, Milan, Italy
[2] Fdn IRCCS Ist Nazl Tumori Milano, Unit Expt Oncol, Milan, Italy
[3] Fdn IRCCS Ist Nazl Tumori Milano, Unit Radiat Oncol, Milan, Italy
[4] Fdn IRCCS Ist Nazl Tumori Milano, Prostate Canc Program, Milan, Italy
[5] Fdn IRCCS Ist Nazl Tumori Milano, Unit Mol Pharmacol, Milan, Italy
[6] Fdn IRCCS Ist Nazl Tumori Milano, Unit Med Phys, Milan, Italy
[7] Natl Ctr Oncol Hadron Therapy CNAO, Radiat Oncol Clin Dept, Pavia, Italy
[8] Kings Coll London, London, England
[9] Guys & St Thomas NHS Fdn Trust, London, England
[10] Univ Milan, Dept Oncol & Hematol Oncol, Milan, Italy
来源
EBIOMEDICINE | 2024年 / 106卷
关键词
Radiation toxicity; Intestinal microbiota; Machine learning; Prostate cancer; INFLAMMATORY-BOWEL-DISEASE; GUT MICROBIOTA; RADIATION; DATABASE;
D O I
10.1016/j.ebiom.2024.105246
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background The search for factors beyond the radiotherapy dose that could identify patients more at risk of developing radio-induced toxicity is essential to establish personalised treatment protocols for improving the quality-of-life of survivors. To investigate the role of the intestinal microbiota in the development of radiotherapy-induced gastrointestinal toxicity, the MicroLearner observational cohort study characterised the intestinal microbiota of 136 (discovery) and 79 (validation) consecutive prostate cancer patients at baseline radiotherapy. Methods Gastrointestinal toxicity was assessed weekly during RT using CTCAE. An average grade >1.3 over time points was used to identify patients suffering from persistent acute toxicity (endpoint). The microbiota of patients was quantifiedfied from the baseline faecal samples using 16S rRNA gene sequencing technology and the Ion Reporter metagenomic pipeline. Statistical techniques and computational and machine learning tools were used to extract, functionally characterise, and predict core features of the bacterial communities of patients who developed acute gastrointestinal toxicity. Findings Analysis of the core bacterial composition in the discovery cohort revealed a cluster of patients significantly fi cantly enriched for toxicity, displaying a toxicity rate of 60%. Based on selected high-risk microbiota compositional features, we developed a clinical decision tree that could effectively predict the risk of toxicity based on the relative abundance of genera Faecalibacterium, , Bacteroides, , Parabacteroides, , Alistipes, , Prevotella and Phascolarctobacterium both in internal and external validation cohorts. Interpretation We provide evidence showing that intestinal bacteria profiling fi ling from baseline faecal samples can be effectively used in the clinic to improve the pre-radiotherapy assessment of gastrointestinal toxicity risk in prostate cancer patients.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Radiotherapy-induced oral morbidities in head and neck cancer patients
    Bhandari, Sudhir
    Soni, Bhavita Wadhwa
    Bahl, Amit
    Ghoshal, Sushmita
    SPECIAL CARE IN DENTISTRY, 2020, 40 (03) : 238 - 250
  • [42] Influence of intensity-modulated radiotherapy on acute Genitourinary and gastrointestinal toxicity in the treatment of localized prostate cancer
    Jani, Ashesh B.
    Gratzle, John
    Correa, David
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2007, 6 (01) : 11 - 15
  • [43] Is the anal sphincter a key structure for gastrointestinal toxicity in prostate cancer radiotherapy?
    Olsson, C. E.
    Thor, M.
    Oh, J. H.
    Petersen, S. Elleberg
    Alsadius, D.
    Hoyer, M.
    Pettersson, N.
    Waldenstrom, A. C.
    Bentzen, L.
    Deasy, J. O.
    Muren, L. P.
    Steineck, G.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 : S467 - S468
  • [44] Predictive Models of Toxicity With External Radiotherapy for Prostate Cancer Clinical Issues
    Valdagni, Riccardo
    Rancati, Tiziana
    Fiorino, Claudio
    CANCER, 2009, 115 (13) : 3141 - 3149
  • [45] ACUTE TOXICITY IN PROSTATE CANCER PATIENTS TREATED WITH HYPOFRACTIONATED INTENSITY-MODULATED RADIOTHERAPY
    Bellavita, Rita
    Raymondi, Carlo
    Matrone, Fabio
    Massetti, Michela
    Lupattelli, Marco
    Arcidiacono, Fabio
    Mearini, Luigi
    Zucchetti, Claudio
    Palumbo, Isabella
    Aristei, Cynthia
    ANTICANCER RESEARCH, 2011, 31 (05) : 1912 - 1912
  • [46] Acute toxicity in prostate cancer patients treated with and without image-guided radiotherapy
    Gill, Suki
    Thomas, Jessica
    Fox, Chris
    Kron, Tomas
    Rolfo, Aldo
    Leahy, Mary
    Chander, Sarat
    Williams, Scott
    Tai, Keen Hun
    Duchesne, Gillian M.
    Foroudi, Farshad
    RADIATION ONCOLOGY, 2011, 6
  • [47] Acute toxicity in prostate cancer patients treated with and without image-guided radiotherapy
    Suki Gill
    Jessica Thomas
    Chris Fox
    Tomas Kron
    Aldo Rolfo
    Mary Leahy
    Sarat Chander
    Scott Williams
    Keen Hun Tai
    Gillian M Duchesne
    Farshad Foroudi
    Radiation Oncology, 6
  • [48] Acute radiotherapy toxicity in breast cancer patients
    Rucinska, M.
    Langkjer, S. T.
    JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (15)
  • [49] Acute and late genitourinary toxicity of conformal radiotherapy for prostate cancer
    Yoshimura R.-I.
    Iwata M.
    Shibuya H.
    Sakai Y.
    Kihara K.
    Radiation Medicine, 2006, 24 (8): : 553 - 559
  • [50] Total bilirubin as a predictive marker for irinotecan-induced toxicity in patients with gastrointestinal cancer
    Makihara, Katsuya
    Azuma, Sayaka
    Hasegawa, Hiroko
    Ikeda, Masataka
    Fujitani, Kazumasa
    Mishima, Hideyuki
    Tsujinaka, Toshimasa
    JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (03)