Jesse D Ivers, Nagavenkatasai Puvvada, Charles M Quick, Narasimhan Rajaram
{"title":"探讨低氧、低氧诱导因子1与放射治疗光氧化还原比的关系。","authors":"Jesse D Ivers, Nagavenkatasai Puvvada, Charles M Quick, Narasimhan Rajaram","doi":"10.1117/1.bios.1.1.015003","DOIUrl":null,"url":null,"abstract":"<p><strong>Significance: </strong>Radiation resistance is a major contributor to cancer treatment failure and is likely driven by multiple pathways. Multivariate visualization that preserves the spatial co-localization of factors could aid in understanding mechanisms of resistance and identifying biomarkers of response.</p><p><strong>Aim: </strong>We aim to investigate the spatial and temporal relationship between hypoxia, hypoxia-inducible factor 1 (HIF-1<i>α</i>), and metabolism in response to radiation therapy in two cell lines of known radiation resistance and sensitivity.</p><p><strong>Approach: </strong>Two-photon excited fluorescence and fluorescence lifetime imaging microscopy were used to quantify the optical redox ratio (ORR) and NAD(P)H fluorescent lifetime and bound fraction in frozen tumor sections and co-registered with immunohistochemical stain-based imaging of hypoxic fraction and HIF-1<i>α</i>.</p><p><strong>Results: </strong>Histogram analysis of hypoxia, HIF-1<i>α</i>, and ORR revealed an increase in the ORR in regions of low hypoxia and high HIF-1<i>α</i>, indicating that the stabilization of HIF-1<i>α</i> is likely due to an increase in reactive oxygen species following radiation therapy. In addition, the bound NAD(P)H fraction was higher in regions with a low ORR in resistant tumors following radiation, suggesting an increase in fatty acid synthesis.</p><p><strong>Conclusions: </strong>A multivariate histogram approach can reveal hidden trends not observed in bulk analysis of tumor images and may be useful in understanding biomarkers and mechanisms of radiation resistance.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922545/pdf/","citationCount":"0","resultStr":"{\"title\":\"Investigating the relationship between hypoxia, hypoxia-inducible factor 1, and the optical redox ratio in response to radiation therapy.\",\"authors\":\"Jesse D Ivers, Nagavenkatasai Puvvada, Charles M Quick, Narasimhan Rajaram\",\"doi\":\"10.1117/1.bios.1.1.015003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Significance: </strong>Radiation resistance is a major contributor to cancer treatment failure and is likely driven by multiple pathways. Multivariate visualization that preserves the spatial co-localization of factors could aid in understanding mechanisms of resistance and identifying biomarkers of response.</p><p><strong>Aim: </strong>We aim to investigate the spatial and temporal relationship between hypoxia, hypoxia-inducible factor 1 (HIF-1<i>α</i>), and metabolism in response to radiation therapy in two cell lines of known radiation resistance and sensitivity.</p><p><strong>Approach: </strong>Two-photon excited fluorescence and fluorescence lifetime imaging microscopy were used to quantify the optical redox ratio (ORR) and NAD(P)H fluorescent lifetime and bound fraction in frozen tumor sections and co-registered with immunohistochemical stain-based imaging of hypoxic fraction and HIF-1<i>α</i>.</p><p><strong>Results: </strong>Histogram analysis of hypoxia, HIF-1<i>α</i>, and ORR revealed an increase in the ORR in regions of low hypoxia and high HIF-1<i>α</i>, indicating that the stabilization of HIF-1<i>α</i> is likely due to an increase in reactive oxygen species following radiation therapy. In addition, the bound NAD(P)H fraction was higher in regions with a low ORR in resistant tumors following radiation, suggesting an increase in fatty acid synthesis.</p><p><strong>Conclusions: </strong>A multivariate histogram approach can reveal hidden trends not observed in bulk analysis of tumor images and may be useful in understanding biomarkers and mechanisms of radiation resistance.</p>\",\"PeriodicalId\":519981,\"journal\":{\"name\":\"Biophotonics discovery\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922545/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophotonics discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/1.bios.1.1.015003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/1.bios.1.1.015003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/28 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Investigating the relationship between hypoxia, hypoxia-inducible factor 1, and the optical redox ratio in response to radiation therapy.
Significance: Radiation resistance is a major contributor to cancer treatment failure and is likely driven by multiple pathways. Multivariate visualization that preserves the spatial co-localization of factors could aid in understanding mechanisms of resistance and identifying biomarkers of response.
Aim: We aim to investigate the spatial and temporal relationship between hypoxia, hypoxia-inducible factor 1 (HIF-1α), and metabolism in response to radiation therapy in two cell lines of known radiation resistance and sensitivity.
Approach: Two-photon excited fluorescence and fluorescence lifetime imaging microscopy were used to quantify the optical redox ratio (ORR) and NAD(P)H fluorescent lifetime and bound fraction in frozen tumor sections and co-registered with immunohistochemical stain-based imaging of hypoxic fraction and HIF-1α.
Results: Histogram analysis of hypoxia, HIF-1α, and ORR revealed an increase in the ORR in regions of low hypoxia and high HIF-1α, indicating that the stabilization of HIF-1α is likely due to an increase in reactive oxygen species following radiation therapy. In addition, the bound NAD(P)H fraction was higher in regions with a low ORR in resistant tumors following radiation, suggesting an increase in fatty acid synthesis.
Conclusions: A multivariate histogram approach can reveal hidden trends not observed in bulk analysis of tumor images and may be useful in understanding biomarkers and mechanisms of radiation resistance.