Unknown

Dataset Information

0

Increased risk of brain metastases in women with breast cancer and p16 expression in metastatic lymph-nodes.


ABSTRACT:

Purpose

Metastatic breast cancer is a leading cause of mortality in women, partly on account of brain metastases. However, the mechanisms by which cancer cells cross the blood-brain barrier remain undeciphered. Most molecular studies predicting metastatic risk have been performed on primary breast cancer samples. Here we studied metastatic lymph-nodes from patients with breast cancers to identify markers associated with the occurrence of brain metastases.

Results

Transcriptomic analyses identified CDKN2A/p16 as a gene potentially associated with brain metastases.

Materials and methods

Fifty-two patients with HER2-overexpressing or triple-negative breast carcinoma with lymph nodes and distant metastases were included in this study. Transcriptomic analyses were performed on laser-microdissected tumor cells from 28 metastatic lymph-nodes. Supervised analyses compared the transcriptomic profiles of women who developed brain metastases and those who did not. As a validation series, we studied metastatic lymph-nodes from 24 other patients.Immunohistochemistry investigations showed that p16 mean scores were significantly higher in patients with brain metastases than in patients without (7.4 vs. 1.7 respectively, p < 0.01). This result was confirmed on the validation series. Multivariate analyses showed that the p16 score was the only variable positively associated with the risk of brain metastases (p = 0.01).With the same threshold of 5 for p16 scores using a Cox model, overall survival was shorter in women with a p16 score over 5 in both series.

Conclusions

The risk of brain metastases in women with HER2-overexpressing or triple-negative breast cancer could be better assessed by studying p16 protein expression on surgically removed axillary lymph-nodes.

SUBMITTER: Furet E 

PROVIDER: S-EPMC5514912 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC2394408 | biostudies-other
| S-EPMC4423440 | biostudies-literature
| S-EPMC5389856 | biostudies-literature
| S-EPMC2277442 | biostudies-other
| S-EPMC2409726 | biostudies-literature
| S-EPMC5873882 | biostudies-other
| S-EPMC6972713 | biostudies-literature
| S-EPMC5684437 | biostudies-literature
2016-07-13 | GSE66162 | GEO
| S-EPMC3742166 | biostudies-literature