Skip to content
naulon
Not checkedNot checked for notices yet.

Factors correlating with lymph node metastases in patients with T1 ductal invasive breast cancer

Ivković-Kapicl Tatjana, Panjković Milana, Ninčić Dejan and 1 more

Archive of Oncology · 2006

doi:10.2298/aoo0602019i (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

BACKGROUND: Identification of reliable predictors of axillary lymph node metastases (ALNM) may be useful in selecting appropriate management for patients with T1-size breast cancer. This study was undertaken to determine the association between ALNM and several variables, including age, tumor size, grade, estrogen receptor status, progesterone receptor status, p53 and c-erbB2 protein expression, and Ki-67 proliferative index. METHODS: In a retrospective study, 74 patients with pT1b and pT1c ductal invasive breast carcinoma and with known nodal status were analyzed. The size of the infiltrating tumor was microscopically evaluated. The histological grading was performed using the modified criteria of Bloom and Richardson, as described by Elston and Ellis. The immunophenotype of the tumor was determined as: the expression of estrogen (ER) and progesterone (PR) receptors, p53, c-erbB2 and Ki-67. The patients were grouped by age as follows: <50, 50-70, and >70 years old. RESULTS: Twenty six patients (35%) were node positive. Tumor size was related directly to nodal positivity. Nodal positivity was significantly related to negative PR status, p53 protein overexpression and high Ki-67 index (p<0.05). No significant association was found between nodal positivity and patient age, tumor grade, ER status, and c-erbB2 expression. CONCLUSION: These data suggest that PR status, Ki-67 proliferation index, and p53 protein expression might provide additional information to the lymph node status in T1 ductal breast carcinomas.

Abstract licence: CC BY

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.