Back

Prognostic and Predictive Factors for Primary Chemotherapy in Locally Advanced Breast Cancer

Borges, C.; Almeida, D.; Damasceno, M.

2020-01-18 oncology
10.1101/2020.01.14.20017467 medRxiv
Show abstract

BackgroundComplete pathologic response (pCR) to neoadjuvant chemotherapy in breast cancer is associated to a better locoregional disease control and better long-term prognosis. Our purpose is to identify clinical and pathologic characteristics that influence treatment response, relapse risk and overall survival. MethodsWe analyzed 341 women with breast cancer submitted to primary chemotherapy between 2004 and 2017. We compared clinical response, pathologic response and conservative surgery rate, among different tumor and patient features. We assessed survival and relapse rate, according to complete pathologic response and histologic characteristics. ResultsAmong 341 women who underwent neoadjuvant treatment, 34% obtained pCR and 94,4% expressed a pathologic response. Patients who achived pCR had better overall survival (HR 0,68, CI95% 0,53-0,87, p=0.002) and better progression free survival (HR 0,78, CI95%, 0,61-1,00, p=0,05). pCR was significantly influenced by histologic grade (0% G1, 18,9% G2 vs 41,5% G3, p-value <0,001), HER2 over-expression (56% vs 22,8%, p-value<0,001), cytokeratin 19 expression (38,6% vs 30,8%, p-value 0,047) and cytokeratin 5 (44% vs 32,4%, p-value 0,002). Instead, presence of bilateral breast cancer (34,7% vs 0%, p-value 0,007) and hormone receptor expression (20,2% vs 54,3%, p-value <0,001) negatively influenced pCR. Additionally, overall survival was negatively influenced by cytokeratin 19 expression (HR 0,14, CI95% 0,10-0,20, p<0,001) and presence of inflammatory breast cancer (HR 0,26, CI95% 0,11-0,64, p=0.003). ConclusionsCytokeratin 19 expression, cytokeratin 5 expression, histologic grade, molecular subtypes and bilaterality are independent predictors for pCR to primary chemotherapy. pCR influences positively overall survival and progression free survival. However, inflammatory carcinoma and cytokeratin 19 expression are independent predictors for a worse prognosis.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.