{"id":17565,"date":"2023-04-03T13:55:33","date_gmt":"2023-04-03T12:55:33","guid":{"rendered":"https:\/\/montpellier-cancer.com\/recherche\/programmes-de-recherche\/programme-de-recherche-priority\/"},"modified":"2023-11-23T17:50:48","modified_gmt":"2023-11-23T16:50:48","slug":"research-programmes-priority","status":"publish","type":"page","link":"https:\/\/montpellier-cancer.com\/en\/recherche\/programmes-de-recherche\/research-programmes-priority\/","title":{"rendered":"\u00a0Research Programme: PRIORITY"},"content":{"rendered":"<div class=\"mb-6\">\n<h2 class=\"wp-block-heading\"><strong>PRIORITY: <u>PR<\/u>edictive and <u>I<\/u>ntegrated <u>O<\/u>mics <u>R<\/u>adiobiology and <u>I<\/u>maging for <u>T<\/u>ailored radiotherap<u>Y<\/u><\/strong><\/h2>\n<\/div>\n\n<div class=\"py-8 md:py-16 wp-block-equipe\">\n      <h2 class=\"font-bold mb-8 mb:mb-16\">Coordinators<\/h2>\n    \n      <div class=\"grid grid-cols-12 gap-6 md:gap-8\">\n                        <div class=\"col-span-12 sm:col-span-6 md:col-span-2 lg:col-span-2\">\n            <div class=\"shadow-lg h-full\">\n\n                              <div class=\"aspect-square w-full relative\">\n                  <img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"200\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Stephanie-Nougaret.png\" class=\"absolute w-full h-full object-cover wp-post-image\" alt=\"\" srcset=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Stephanie-Nougaret.png 200w, https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Stephanie-Nougaret-150x150.png 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/>\n                <\/div>\n              \n              <div class=\"p-3\">\n                <div class=\"font-bold text-blue-dark\">Pr St\u00e9phanie NOUGARET<\/div>\n                <p>MD, PhD, Radiologist (ICM), Head of the &#8220;Precision imaging, a new key in cancer treatment&#8221; team (IRCM)<\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n                                <div class=\"col-span-12 sm:col-span-6 md:col-span-2 lg:col-span-2\">\n            <div class=\"shadow-lg h-full\">\n\n                              <div class=\"aspect-square w-full relative\">\n                  <img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"413\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Jean-Pierre-Pouget.png\" class=\"absolute w-full h-full object-cover wp-post-image\" alt=\"\" srcset=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Jean-Pierre-Pouget.png 320w, https:\/\/montpellier-cancer.com\/wp-content\/uploads\/photo-Jean-Pierre-Pouget-232x300.png 232w\" sizes=\"(max-width: 320px) 100vw, 320px\" \/>\n                <\/div>\n              \n              <div class=\"p-3\">\n                <div class=\"font-bold text-blue-dark\">Dr Jean-Pierre POUGET<\/div>\n                <p>PhD, head of the &#8220;Radiobiology for targeted and personalised radiotherapy&#8221; team (IRCM)<\/p>\n              <\/div>\n            <\/div>\n          <\/div>\n                  <\/div>\n  <\/div>\n\n\n<div class=\"wp-block-rte  mb-4 md:mb-8  bg-white p-3 md:p-6\">\n                        <div class=\"flex flex-col md:flex-row flex-wrap gap-2 md:gap-3 lg:gap-8\">\n          <div class=\"w-full\">\n            <div class=\"max-w-none prose \"><p style=\"text-align: justify;\"><strong>PRIORITY aims<\/strong> to optimise internal and external radiotherapy treatments using a multimodal approach integrating tumour biology, radiobiology, dosimetry and AI-driven next-generation imaging.<\/p>\n<\/div>\n          <\/div>\n        <\/div>\n          <\/div>\n\n\n<div class=\"wp-block-faq my-8 bg-white p-6\">\n         <div class=\" rounded-lg py-8  section-faqs\">\n      \n            \n        <div  x-data=\"{ active: -1 }\"  class=\"mx-auto max-w-3xl min-h-[16rem] space-y-4\">\n                      <div  x-data=\"{\n                id: 0,\n                get expanded() {\n                    return this.active === this.id\n                },\n                set expanded(value) {\n                    this.active = value ? this.id : null\n                },\n            }\"  role=\"region\" class=\"rounded-lg bg-white\/10 shadow\">\n                <h3 class=\"text-blue-medium\">\n                    <button\n                        x-on:click=\"expanded = !expanded\"\n                        :aria-expanded=\"expanded\"\n                        class=\"flex w-full items-center justify-between px-6 py-4 text-xl font-bold\"\n                    >\n                        <div class=\"text-left\">Axis 1- Optimising irradiation of PDAC and HCC using preclinical models<\/div>\n                        <span x-show=\"expanded\" aria-hidden=\"true\" class=\"ml-4\">&minus;<\/span>\n                        <span x-show=\"!expanded\" aria-hidden=\"true\" class=\"ml-4\">&plus;<\/span>\n                    <\/button>\n                <\/h3>\n\n                <div x-show=\"expanded\" x-collapse>\n                    <div class=\"px-6 pb-4  prose \">\n                      <p style=\"text-align: justify;\">The Axis 1 objective is to compare different RT modalities in preclinical models of PDAC and HCC. Several irradiation modalities will be considered and compared for PDAC and HCC treatment. Modalities will differ by the irradiation source (external vs internal), radiation type (low vs high LET), dose rate, and dose fractionation. Besides EBRT and RPT, medical devices including BT and microspheres will be used.<\/p>\n<p style=\"text-align: justify;\">Axis 1 expected result is to identify the RT modality(ies) with the best therapeutic ratio for PDAC and HCC.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15008 size-full\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe1.png\" alt=\"\" width=\"328\" height=\"267\" srcset=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe1.png 328w, https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe1-300x244.png 300w\" sizes=\"(max-width: 328px) 100vw, 328px\" \/><\/p>\n\n                    <\/div>\n                <\/div>\n            <\/div>\n                      <div  x-data=\"{\n                id: 1,\n                get expanded() {\n                    return this.active === this.id\n                },\n                set expanded(value) {\n                    this.active = value ? this.id : null\n                },\n            }\"  role=\"region\" class=\"rounded-lg bg-white\/10 shadow\">\n                <h3 class=\"text-blue-medium\">\n                    <button\n                        x-on:click=\"expanded = !expanded\"\n                        :aria-expanded=\"expanded\"\n                        class=\"flex w-full items-center justify-between px-6 py-4 text-xl font-bold\"\n                    >\n                        <div class=\"text-left\">Axis 2 &#8211; Acquiring multimodal and multiparametric images during irradiation<\/div>\n                        <span x-show=\"expanded\" aria-hidden=\"true\" class=\"ml-4\">&minus;<\/span>\n                        <span x-show=\"!expanded\" aria-hidden=\"true\" class=\"ml-4\">&plus;<\/span>\n                    <\/button>\n                <\/h3>\n\n                <div x-show=\"expanded\" x-collapse>\n                    <div class=\"px-6 pb-4  prose \">\n                      <p style=\"text-align: justify;\">The Axis 2 objective is to image changes in physical, chemical and biological parameters by MRI, PET and SPECT before, during, and after irradiation. The expected result is to generate a multimodal and multiparametric image library to monitor the tumour response to irradiation in preclinical PDAC and HCC models.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15010 size-full\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe2.png\" alt=\"\" width=\"312\" height=\"263\" srcset=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe2.png 312w, https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe2-300x253.png 300w\" sizes=\"(max-width: 312px) 100vw, 312px\" \/><\/p>\n\n                    <\/div>\n                <\/div>\n            <\/div>\n                      <div  x-data=\"{\n                id: 2,\n                get expanded() {\n                    return this.active === this.id\n                },\n                set expanded(value) {\n                    this.active = value ? this.id : null\n                },\n            }\"  role=\"region\" class=\"rounded-lg bg-white\/10 shadow\">\n                <h3 class=\"text-blue-medium\">\n                    <button\n                        x-on:click=\"expanded = !expanded\"\n                        :aria-expanded=\"expanded\"\n                        class=\"flex w-full items-center justify-between px-6 py-4 text-xl font-bold\"\n                    >\n                        <div class=\"text-left\">Axis 3 &#8211; Developing and implementing a predictive model (virtual cancer biopsy)<\/div>\n                        <span x-show=\"expanded\" aria-hidden=\"true\" class=\"ml-4\">&minus;<\/span>\n                        <span x-show=\"!expanded\" aria-hidden=\"true\" class=\"ml-4\">&plus;<\/span>\n                    <\/button>\n                <\/h3>\n\n                <div x-show=\"expanded\" x-collapse>\n                    <div class=\"px-6 pb-4  prose \">\n                      <p style=\"text-align: justify;\">The Axis 3 objective is to develop a predictive model (virtual biopsy) that will integrate selected parametric imaging and biology parameters. The expected result is to make a virtual biopsy model available to select patients, predict the response to RT, select and modulate the irradiation regimen for an optimised treatment of PDAC and HCC by EBRT and\/or RPT.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15012 size-full\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe3.png\" alt=\"\" width=\"319\" height=\"253\" srcset=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe3.png 319w, https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe3-300x238.png 300w\" sizes=\"(max-width: 319px) 100vw, 319px\" \/><\/p>\n\n                    <\/div>\n                <\/div>\n            <\/div>\n                      <div  x-data=\"{\n                id: 3,\n                get expanded() {\n                    return this.active === this.id\n                },\n                set expanded(value) {\n                    this.active = value ? this.id : null\n                },\n            }\"  role=\"region\" class=\"rounded-lg bg-white\/10 shadow\">\n                <h3 class=\"text-blue-medium\">\n                    <button\n                        x-on:click=\"expanded = !expanded\"\n                        :aria-expanded=\"expanded\"\n                        class=\"flex w-full items-center justify-between px-6 py-4 text-xl font-bold\"\n                    >\n                        <div class=\"text-left\">Axix 4 &#8211; Transferring the predictive model into the clinic<\/div>\n                        <span x-show=\"expanded\" aria-hidden=\"true\" class=\"ml-4\">&minus;<\/span>\n                        <span x-show=\"!expanded\" aria-hidden=\"true\" class=\"ml-4\">&plus;<\/span>\n                    <\/button>\n                <\/h3>\n\n                <div x-show=\"expanded\" x-collapse>\n                    <div class=\"px-6 pb-4  prose \">\n                      <p style=\"text-align: justify;\">The Axis 4 objective is to organise the translation into clinical use of the multiparametric preclinical models developed in the previous axis and to identify the best candidates (patients) for MRI-guided RT (MRgRT) and Stereotactic Magnetic Resonance-guided Adaptive Radiotherapy (SMART) for cancers with a poor prognosis, such as pancreatic cancer or HCC.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-15014 size-full\" src=\"https:\/\/montpellier-cancer.com\/wp-content\/uploads\/priority_axe4.png\" alt=\"\" width=\"246\" height=\"217\" \/><\/p>\n\n                    <\/div>\n                <\/div>\n            <\/div>\n                  <\/div>\n          <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p>PRIORITY: PRedictive and Integrated Omics Radiobiology and Imaging for Tailored radiotherapY<\/p>\n","protected":false},"author":2,"featured_media":14780,"parent":11221,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.8 - 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