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2.
ESMO Open ; 6(3): 100151, 2021 06.
Article in English | MEDLINE | ID: mdl-33984674

ABSTRACT

BACKGROUND: Prognostic impact of lymph node micro-metastases (pN1mi) has been discordantly reported in the literature. The need to clarify this point for decision-making regarding adjuvant therapy, particularly for patients with endocrine receptor (ER)-positive status and HER2-negative tumors, is further reinforced by the generalization of gene expression signatures using pN status in their recommendation algorithm. PATIENTS AND METHODS: We retrospectively analyzed 13 773 patients treated for ER-positive breast cancer in 13 French cancer centers from 1999 to 2014. Five categories of axillary lymph node (LN) status were defined: negative LN (pN0i-), isolated tumor cells [pN0(i+)], pN1mi, and pN1 divided into single (pN1 = 1) and multiple (pN1 > 1) macro-metastases (>2 mm). The effect of LN micro-metastases on outcomes was investigated both in the entire cohort of patients and in clinically relevant subgroups according to tumor subtypes. Propensity-score-based matching was used to balance differences in known prognostic variables associated with pN status. RESULTS: As determined by sentinel LN biopsy, 9427 patients were pN0 (68.4%), 546 pN0(i+) (4.0%), 1446 pN1mi (10.5%) and 2354 pN1 with macro-metastases (17.1%). With a median follow-up of 61.25 months, pN1 status, but not pN1mi, significantly impacted overall survival (OS), disease-free survival (DFS), metastasis-free survival (MFS), and breast-cancer-specific survival. In the subgroup of patients with known tumor subtype, pN1 = 1, as pN1 > 1, but not pN1mi, had a significant prognostic impact on OS. DFS and MFS were only impacted by pN1 > 1. Similar results were observed in the subgroup of patients with luminal A-like tumors (n = 7101). In the matched population analysis, pN1macro, but not pN1mi, had a statistically significant negative impact on MFS and OS. CONCLUSION: LN micro-metastases have no detectable prognostic impact and should not be considered as a determining factor in indicating adjuvant chemotherapy. The evaluation of the risk of recurrence using second-generation signatures should be calculated considering micro-metastases as pN0.


Subject(s)
Breast Neoplasms , Breast Neoplasms/genetics , Female , Humans , Neoplasm Recurrence, Local , Prognosis , Retrospective Studies , Sentinel Lymph Node Biopsy
3.
Breast Cancer Res Treat ; 61(2): 151-9, 2000 May.
Article in English | MEDLINE | ID: mdl-10942101

ABSTRACT

UNLABELLED: The Van Nuys prognostic index (VNPI) was thought to be useful for predicting response to radiotherapy and local recurrence of ductal carcinoma in situ (DCIS). We applied the VNPI under the conditions defined by Silverstein et al., in 367 retrospective DCIS entirely sectioned into serial macroscopic 2 mm slices (155 patients had radiotherapy, median follow-up 71 months). The percentage of positive blocks with DCIS was also estimated for each specimen with cut-offs at 30% and 60% to obtain three scores. One hundred and ninety five lesions had a low VNPI, 152 an intermediate VNPI, and 20 a high VNPI. There were 9% of local recurrences (half invasive, all in the group without radiotherapy) in the low VNPI group. The local recurrence rate increased with size (p = 0.001), with reduction of distance to margins (p = 0.05), with histologic grade (p = 0.02), with percentage of positive blocks (p = 0.0003) and with VNPI score (p = 0.03). The percentage of positive blocks was the only independent predictor for local recurrence (p = 0.0001). CONCLUSION: (1) The VNPI was a local recurrence rate predictor between the low and the intermediate groups but in our series the low VNPI group had a surprisingly high local recurrence rate. (2) Only prospective studies will assess the importance of margin width and the role of radiotherapy in maintaining local control. (3) Estimation of the percentage of positive blocks is simple, may be an alternative when measurement of DCIS is difficult and should be taken into account.


Subject(s)
Breast Neoplasms/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Microtomy/methods , Severity of Illness Index , Breast Neoplasms/diagnosis , Breast Neoplasms/mortality , Breast Neoplasms/radiotherapy , Breast Neoplasms/surgery , Carcinoma, Ductal, Breast/epidemiology , Carcinoma, Intraductal, Noninfiltrating/diagnosis , Carcinoma, Intraductal, Noninfiltrating/mortality , Carcinoma, Intraductal, Noninfiltrating/radiotherapy , Carcinoma, Intraductal, Noninfiltrating/surgery , Combined Modality Therapy , Disease-Free Survival , Female , Follow-Up Studies , Humans , Life Tables , Mastectomy, Segmental , Microtomy/statistics & numerical data , Middle Aged , Neoplasm Invasiveness , Neoplasm Recurrence, Local/epidemiology , Prognosis , Proportional Hazards Models , Radiotherapy, Adjuvant , Retrospective Studies , Survival Analysis , Treatment Outcome
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