Clinical trial · Observational
Predictors of Normal Tissue Response From the Microenvironment in Radiotherapy for Prostate and Head-and-neck Cancer
Microbiota, Inflammatory Environment, Clinical and Radiomic Features as Predictors of Normal Tissue Response in Radiotherapy for Prostate and Head-and-neck Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The main idea behind MICRO-LEARNER is to provide new insights about the response of healthy tissues to radiation by using information from the micro-environment obtained by biological measurements and imaging. This new knowledge will be included in current available predictive models of radio-induced toxicity, thus allowing to add unique biological characteristics of patients to dosimetry and treatment/clinical related variables. MICRO-LEARNER focuses on prostate cancer (PCa) and head-and-neck cancer (HNCa). For both cancers, radiotherapy is effectively used as curative treatment, in single modality or within a multidisciplinary approach including surgery (PCa) and/or chemotherapy (HNCa). Prediction and reduction of radio-induced side effects are becoming a priority: for PCa, high survival rates should be accompanied by a very low rate of moderate/severe toxicities; for HNCa, there is the need to tailor radiation dose according to disease recurrence risk profile. The shared aim of both cancers is to balance the improvement in outcome with a well-tolerated toxicity profile. Recent research indicates that the intestinal/salivary bacteria are strongly suspected of being very important in mediating the response to inflammation and lesions. Although their balance deeply changes during radiotherapy, studies done so far in the field of the microbiota-host relationship in radiotherapy have not addressed their role in insurgence of radiation toxicity. In this study, the investigators will assess how microbial populations evolve and how this influences the host and radiation induced toxicity in a significant number of patients. Moreover, the individual response at the tissue microstructure level, through analysis of images with advanced bioengineering techniques, will be determined. Results from this research, besides suggesting new ways to predict patients at risk of relevant side-effects, may also suggest possible treatments to change the baseline microbiota of patients at high risk or to modify it during therapy, in order to mitigate toxicity. Understanding the microbiota-radiotherapy interaction may thus lead to novel, effective and inexpensive ways of assessing and managing complications of cancer treatment.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Head and Neck Cancer | Malignant Head and Neck Neoplasm | ALIAS | 0.90 |
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| External beam radiotherapy for head and neck cancer | Radiation | — | UNRESOLVED |
| External beam radiotherapy for prostate cancer | Radiation | — | UNRESOLVED |
Design
Arms and outcomes
Arms (4)
- label
- PCa patients - Discovery cohort
- description
- External beam radiotherapy for prostate cancer
- interventionNames
- Radiation: External beam radiotherapy for prostate cancer
- label
- HNCa patients - Discovery cohort
- description
- External beam radiotherapy for head and neck cancer
- interventionNames
- Radiation: External beam radiotherapy for head and neck cancer
- label
- PCa patients - Validation cohort
- description
- External beam radiotherapy for prostate cancer
- interventionNames
- Radiation: External beam radiotherapy for prostate cancer
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria (PCa patients in discovery and validation cohorts): * Patients with histologically confirmed diagnosis of PCa candidate to exclusive or post-surgical radiotherapy, in both case it can be associated to hormone therapy * Prognostic risk included in the very low, low, intermediate or high risk classes following the NCCN Clinical Practice Guidelines in Oncology and patients with oligometastatic disease treated with curative doses to the prostate (≥70 Gy at 2 Gy per fraction) * Written informed consent to the study Exclusion Criteria (PCa patients in discovery and validation cohorts): * Previous pelvic radiotherapy * Autoimmune disease (scleroderma,Chron's disease and ulcerative colitis), chronic kidney disease requiring dyalis * Patients with malignant neoplasm in treatment with local or systemic therapies, except for patients with PCa and skin cancers * Refusal to accept the study participation modalities Inclusion Criteria (HNCa patients in discovery and validation cohorts): * ECOG PS ≤ 3 * Histologically confirmed diagnosis of squamous cell carcinoma of the head and neck (oral cavity, pharynx, larynx, paranasal sinuses and nasal cavity, salivary glands) * Non-metastatic stage III-IV cancer of the pharinx, larynx according to AJCC VII edition. Patients with stage III-IV cancer of salivary glands o paranasal sinuses. Patients with stage I-II cancer of pharinx and larynx only if neck lymph nodes or oral mucosa are included in the irradiated volume * Indication to exclusive or post-surgical radiotherapy (associated or not to systemic therapy according to internal guidelines) * Written informed consent to the study Exclusion Criteria (HNCa patients in discovery and validation cohorts): * Previous head and neck radiotherapy * Connective tissue disease (lupus erythematosus or scleroderma) or other concomitant head and neck cancers, except for in situ skin cancers not requiring radiotherapy or systemic therapies. * Refusal to accept the study participation modalities
References
Publications (7)
- BACKGROUNDValdagni R, Kattan MW, Rancati T, Yu C, Vavassori V, Fellin G, Cagna E, Gabriele P, Mauro FA, Baccolini M, Bianchi C, Menegotti L, Monti AF, Stasi M, Giganti MO, Fiorino C. Is it time to tailor the prediction of radio-induced toxicity in prostate cancer patients? Building the first set of nomograms for late rectal syndrome. Int J Radiat Oncol Biol Phys. 2012 Apr 1;82(5):1957-66. doi: 10.1016/j.ijrobp.2011.03.028. Epub 2011 Jun 2. PMID 21640511
- BACKGROUNDPalorini F, Rancati T, Cozzarini C, Improta I, Carillo V, Avuzzi B, Casanova Borca V, Botti A, Degli Esposti C, Franco P, Garibaldi E, Girelli G, Iotti C, Maggio A, Palombarini M, Pierelli A, Pignoli E, Vavassori V, Valdagni R, Fiorino C. Multi-variable models of large International Prostate Symptom Score worsening at the end of therapy in prostate cancer radiotherapy. Radiother Oncol. 2016 Jan;118(1):92-8. doi: 10.1016/j.radonc.2015.11.036. Epub 2016 Jan 6. PMID 26777123
- BACKGROUNDBossi P, Bergamini C, Miceli R, Cova A, Orlandi E, Resteghini C, Locati L, Alfieri S, Imbimbo M, Granata R, Mariani L, Iacovelli NA, Huber V, Cavallo A, Licitra L, Rivoltini L. Salivary Cytokine Levels and Oral Mucositis in Head and Neck Cancer Patients Treated With Chemotherapy and Radiation Therapy. Int J Radiat Oncol Biol Phys. 2016 Dec 1;96(5):959-966. doi: 10.1016/j.ijrobp.2016.08.047. Epub 2016 Sep 6. PMID 27745982
- BACKGROUNDOrlandi E, Giandini T, Iannacone E, De Ponti E, Carrara M, Mongioj V, Stucchi C, Tana S, Bossi P, Licitra L, Fallai C, Pignoli E. Radiotherapy for unresectable sinonasal cancers: dosimetric comparison of intensity modulated radiation therapy with coplanar and non-coplanar volumetric modulated arc therapy. Radiother Oncol. 2014 Nov;113(2):260-6. doi: 10.1016/j.radonc.2014.11.024. Epub 2014 Nov 29. PMID 25467003
- BACKGROUNDDe Cecco L, Nicolau M, Giannoccaro M, Daidone MG, Bossi P, Locati L, Licitra L, Canevari S. Head and neck cancer subtypes with biological and clinical relevance: Meta-analysis of gene-expression data. Oncotarget. 2015 Apr 20;6(11):9627-42. doi: 10.18632/oncotarget.3301.