Gagan Gupta, Caroline Dasom Lee, Mary L Guye, Robert E Van Sciver, Michael P Lee, Alex C Lafever, Anthony Pang, Angela M Tang-Tan, Janet S Winston, Billur Samli, Rick J Jansen, Richard A Hoefer, Amy H Tang
{"title":"未满足的临床需求:开发预后生物标志物和精准医学来预测高危乳腺癌的早期肿瘤复发,检测化疗耐药和提高总生存率。","authors":"Gagan Gupta, Caroline Dasom Lee, Mary L Guye, Robert E Van Sciver, Michael P Lee, Alex C Lafever, Anthony Pang, Angela M Tang-Tan, Janet S Winston, Billur Samli, Rick J Jansen, Richard A Hoefer, Amy H Tang","doi":"10.36959/739/525","DOIUrl":null,"url":null,"abstract":"<p><p>Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy.</p>","PeriodicalId":92983,"journal":{"name":"Annals of breast cancer and therapy","volume":"4 1","pages":"48-57"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295150/pdf/","citationCount":"15","resultStr":"{\"title\":\"Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer.\",\"authors\":\"Gagan Gupta, Caroline Dasom Lee, Mary L Guye, Robert E Van Sciver, Michael P Lee, Alex C Lafever, Anthony Pang, Angela M Tang-Tan, Janet S Winston, Billur Samli, Rick J Jansen, Richard A Hoefer, Amy H Tang\",\"doi\":\"10.36959/739/525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy.</p>\",\"PeriodicalId\":92983,\"journal\":{\"name\":\"Annals of breast cancer and therapy\",\"volume\":\"4 1\",\"pages\":\"48-57\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295150/pdf/\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of breast cancer and therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36959/739/525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of breast cancer and therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36959/739/525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer.
Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy.