Neighborhood and racial influences on triple negative breast cancer: evidence from Northeast Ohio.

PURPOSE: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer (BC) with higher recurrence rates and poorer prognoses and most prevalent among non-Hispanic Black women. Studies of multiple health conditions and care processes suggest that neighborhood socioeconomic position is a key driver of health disparities. We examined roles of patients' neighborhood-level characteristics and race on prevalence, stage at diagnosis, and mortality among patients diagnosed with BC at a large safety-net healthcare system in Northeast Ohio. METHODS: We used tumor registry to identify BC cases from 2007 to 2020 and electronic health records and American Community Survey for individual- and area-level factors. We performed multivariable regression analyses to estimate associations between neighborhood-level characteristics, measured by the Area Deprivation Index (ADI), race and comparative TNBC prevalence, stage at diagnosis, and total mortality. RESULTS: TNBC was more common among non-Hispanic Black (53.7%) vs. non-Hispanic white patients (46.4%). Race and ADI were individually significant predictors of TNBC prevalence, stage at diagnosis, and total mortality. Race remained significantly associated with TNBC subtype, adjusting for covariates. Accounting for TNBC status, a more disadvantaged neighborhood was significantly associated with a worse stage at diagnosis and higher death rates. CONCLUSION: Our findings suggest that both neighborhood socioeconomic position and race are strongly associated with TNBC vs. other BC subtypes. The burden of TNBC appears to be highest among Black women in the most socioeconomically disadvantaged neighborhoods. Our study suggests a complex interplay of social conditions and biological disease characteristics contributing to racial disparities in BC outcomes.

A prospective feasibility trial to determine the significance of the sentinel node gradient in breast cancer: a predictor of nodal metastasis location.

BACKGROUND: Sentinel lymph node (SN) biopsy is standard for breast cancer staging, but SN dye gradients and their significance have never been characterized. If predictive of SN metastasis location, their use for focused pathology examination might improve intraoperative imprint cytology sensitivity. METHODS: This prospective trial enrolled clinically lymph node-negative patients with invasive breast cancer not undergoing neoadjuvant chemotherapy. Surgeons marked SN gradients at their bluest end. Nodal halves were examined separately by imprint cytology, and the marked SN half was correlated to metastasis location. Demographic, pathologic, and prognostic features were recorded. RESULTS: Mean patient age and tumor size for the 102 patients was 59.6 years and 2.2 cm, respectively. Of 169 SNs, 159 (94.1%) had dye gradients, which varied by tumor quadrant, but not by histology, diagnosis method, grade, or stage. Among 41 marked SNs with metastases, 92.7% were present in the halves marked by the surgeon. Fourteen were confined to 1 nodal half, with 11 on the marked side and 3 on the unmarked side (P = .029). Metastases were smaller when confined to 1 versus both SN halves (0.14 vs 0.75 cm; P = .005), and smaller (0.87 vs 0.13 cm; P < .0001) when missed intraoperatively. CONCLUSIONS: Dye gradients occur in most SNs and predict metastasis location. The smallest metastases are hardest to detect intraoperatively and are usually confined to the marked SN half. This suggests that marking an SN's bluest half warrants further study to explore whether its correlation to metastasis location may be exploited to focus pathologic examination and decrease the reoperative axillary dissection rate.

Accuracy of determining nodal negativity in colorectal cancer on the basis of the number of nodes retrieved on resection.

BACKGROUND: Correct determination of nodal status is pivotal to accurate staging and predicting survival. METHODS: This is a secondary analysis of INT0089, an intergroup trial of adjuvant chemotherapy for high-risk stage II and III colon cancer. A subset of patients was studied who underwent right or left hemicolectomy and from whom at least 10 lymph nodes were examined. A mathematical model was created to estimate the probability of a true negative result on the basis of the number of nodes examined. The number of nodes needed to predict nodal negativity with 85%, 50%, and 25% probability on the basis of tumor stage was calculated. RESULTS: In this analysis, 1585 patients were studied. The average number of nodes removed at surgery was comparable between treatment groups at 18.5 (median of 16 in all groups). With this model, when 18 nodes are removed at resection, there is a <25% probability of true node negativity in T1/T2 tumors, whereas <10 nodes need to be examined in T3 and T4 tumors to achieve the same probability. CONCLUSIONS: Tumor stage and the number of nodes retrieved at resection influence the accuracy of determining nodal status in colon cancer. Most patients are understaged. Underestimating nodal stage may influence decisions regarding adjuvant therapy, as well as overall prognosis.