Anu G Gaba, Li Cao, Rebecca J Renfrew, DeAnn Witte, Janet M Wernisch, Abe E Sahmoun, Sanjay Goel, Kristi A Egland, Ross D Crosby
{"title":"美国印第安人/阿拉斯加原住民与非西班牙裔白人患乳腺癌的差异。","authors":"Anu G Gaba, Li Cao, Rebecca J Renfrew, DeAnn Witte, Janet M Wernisch, Abe E Sahmoun, Sanjay Goel, Kristi A Egland, Ross D Crosby","doi":"10.1007/s40615-023-01704-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>Breast cancer (BC) death rates have not improved for American Indian/Alaska Native (AI/AN) women, whereas, it has significantly decreased for non-Hispanic White (White) women.</p><p><strong>Objective: </strong>Delineate the differences in patient and tumor characteristics among AI/AN and Whites with BC, and its impact on age and stage at diagnosis as well as overall survival (OS).</p><p><strong>Methods: </strong>Hospital-based, cohort study using the National Cancer Database to identify female AI/AN and Whites diagnosed with BC between the years 2004 and 2016.</p><p><strong>Results: </strong>BC in 6866 AI/AN (0.3%) and 1,987,324 Whites (99.7%) were studied. The median age at diagnosis was 58 for AI/AN and 62 for Whites. AI BC patients traveled double the distance for treatment, lived in lower median income zip codes, had a higher percentage of uninsured, higher comorbidities, lower percentage of Stage 0/I, larger tumor size, greater number of positive lymph nodes, higher proportion of triple negative and HER2-positive BC than Whites. All the above comparisons were significant, p<0.001. Association between patient/tumor characteristics with age and stage at diagnosis was not significantly different between AI/AN and Whites. Unadjusted OS was worse for AI/AN as compared to Whites (HR=1.07, 95% CI=1.01-1.14, p=0.023). After adjustment of all covariates, OS was not different (HR=1.038, 95%CI=0.902-1.195, p=0.601).</p><p><strong>Conclusion: </strong>There were significant differences in patient/tumor characteristics among AI/AN and White BC which adversely impacted OS in AI/AN. However, when adjusted for various covariates, the survival was similar, suggesting that the worse survival in AI/AN is mostly the impact of known biological, socio-economic, and environmental determinants of health.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differences in Breast Cancers Among American Indian/Alaska Native and non-Hispanic Whites in the USA.\",\"authors\":\"Anu G Gaba, Li Cao, Rebecca J Renfrew, DeAnn Witte, Janet M Wernisch, Abe E Sahmoun, Sanjay Goel, Kristi A Egland, Ross D Crosby\",\"doi\":\"10.1007/s40615-023-01704-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Importance: </strong>Breast cancer (BC) death rates have not improved for American Indian/Alaska Native (AI/AN) women, whereas, it has significantly decreased for non-Hispanic White (White) women.</p><p><strong>Objective: </strong>Delineate the differences in patient and tumor characteristics among AI/AN and Whites with BC, and its impact on age and stage at diagnosis as well as overall survival (OS).</p><p><strong>Methods: </strong>Hospital-based, cohort study using the National Cancer Database to identify female AI/AN and Whites diagnosed with BC between the years 2004 and 2016.</p><p><strong>Results: </strong>BC in 6866 AI/AN (0.3%) and 1,987,324 Whites (99.7%) were studied. The median age at diagnosis was 58 for AI/AN and 62 for Whites. AI BC patients traveled double the distance for treatment, lived in lower median income zip codes, had a higher percentage of uninsured, higher comorbidities, lower percentage of Stage 0/I, larger tumor size, greater number of positive lymph nodes, higher proportion of triple negative and HER2-positive BC than Whites. All the above comparisons were significant, p<0.001. Association between patient/tumor characteristics with age and stage at diagnosis was not significantly different between AI/AN and Whites. Unadjusted OS was worse for AI/AN as compared to Whites (HR=1.07, 95% CI=1.01-1.14, p=0.023). After adjustment of all covariates, OS was not different (HR=1.038, 95%CI=0.902-1.195, p=0.601).</p><p><strong>Conclusion: </strong>There were significant differences in patient/tumor characteristics among AI/AN and White BC which adversely impacted OS in AI/AN. However, when adjusted for various covariates, the survival was similar, suggesting that the worse survival in AI/AN is mostly the impact of known biological, socio-economic, and environmental determinants of health.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s40615-023-01704-4\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/7/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40615-023-01704-4","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
重要性:美国印第安人/阿拉斯加原住民(AI/AN)妇女的乳腺癌(BC)死亡率没有改善,而非西班牙裔白人(White)妇女的乳腺癌死亡率却显著下降:方法:基于医院的队列研究,利用国家癌症数据库识别2004年至2016年期间确诊为BC的美国印第安/阿拉斯加原住民和白人女性患者和肿瘤特征的差异,及其对确诊时的年龄和分期以及总生存率(OS)的影响:研究对象包括6866名美国原住民/印第安人(0.3%)和1987324名白人(99.7%)。美国原住民/印第安人确诊时的中位年龄为 58 岁,白人为 62 岁。与白人相比,亚裔 BC 患者接受治疗的路程长一倍,居住在收入中位数较低的邮政编码中,无保险的比例较高,合并症较多,0/I 期的比例较低,肿瘤体积较大,阳性淋巴结数量较多,三阴性和 HER2 阳性 BC 的比例较高。上述所有比较结果均具有显著性,p结论:亚裔美国人和白人 BC 患者/肿瘤特征存在明显差异,这对亚裔美国人的 OS 有不利影响。然而,在对各种协变量进行调整后,存活率相似,这表明亚裔美国人/印第安人的存活率较低主要是受已知的生物、社会经济和环境健康决定因素的影响。
Differences in Breast Cancers Among American Indian/Alaska Native and non-Hispanic Whites in the USA.
Importance: Breast cancer (BC) death rates have not improved for American Indian/Alaska Native (AI/AN) women, whereas, it has significantly decreased for non-Hispanic White (White) women.
Objective: Delineate the differences in patient and tumor characteristics among AI/AN and Whites with BC, and its impact on age and stage at diagnosis as well as overall survival (OS).
Methods: Hospital-based, cohort study using the National Cancer Database to identify female AI/AN and Whites diagnosed with BC between the years 2004 and 2016.
Results: BC in 6866 AI/AN (0.3%) and 1,987,324 Whites (99.7%) were studied. The median age at diagnosis was 58 for AI/AN and 62 for Whites. AI BC patients traveled double the distance for treatment, lived in lower median income zip codes, had a higher percentage of uninsured, higher comorbidities, lower percentage of Stage 0/I, larger tumor size, greater number of positive lymph nodes, higher proportion of triple negative and HER2-positive BC than Whites. All the above comparisons were significant, p<0.001. Association between patient/tumor characteristics with age and stage at diagnosis was not significantly different between AI/AN and Whites. Unadjusted OS was worse for AI/AN as compared to Whites (HR=1.07, 95% CI=1.01-1.14, p=0.023). After adjustment of all covariates, OS was not different (HR=1.038, 95%CI=0.902-1.195, p=0.601).
Conclusion: There were significant differences in patient/tumor characteristics among AI/AN and White BC which adversely impacted OS in AI/AN. However, when adjusted for various covariates, the survival was similar, suggesting that the worse survival in AI/AN is mostly the impact of known biological, socio-economic, and environmental determinants of health.