Predictive and Prognostic Brain Metastases Assessment in Luminal Breast Cancer Patients: FN14 and GRP94 from Diagnosis to Prophylaxis.

FN14 has been implicated in many intracellular signaling pathways, and GRP94 is a well-known endoplasmic reticulum protein regulated by glucose. Recently, both have been associated with metastasis progression in breast cancer patients. We studied the usefulness of FN14 and GRP94 expression to stratify breast cancer patients according their risk of brain metastasis (BrM) progression. We analyzed FN14 and GRP94 by immunohistochemistry in a retrospective multicenter study using tissue microarrays from 208 patients with breast carcinomas, of whom 52 had developed BrM. Clinical and pathological characteristics and biomarkers expression in Luminal and non-Luminal patients were analyzed using a multivariate logistic regression model adjusted for covariates, and brain metastasis-free survival (BrMFS) was estimated using the Kaplan-Meier method and the Cox proportional hazards model. FN14 expression was associated with BrM progression mainly in Luminal breast cancer patients with a sensitivity (53.85%) and specificity (89.60%) similar to Her2 expression (46.15 and 89.84%, respectively). Moreover, the likelihood to develop BrM in FN14-positive Luminal carcinomas increased 36.70-fold (3.65-368.25, p = 0.002). Furthermore, the worst prognostic factor for BrMFS in patients with Luminal carcinomas was FN14 overexpression (HR = 8.25; 95% CI: 2.77-24.61; p = 0.00015). In these patients, GRP94 overexpression also increased the risk of BrM (HR = 3.58; 95% CI: 0.98-13.11; p = 0.054-Wald test). Therefore, FN14 expression in Luminal breast carcinomas is a predictive/prognostic biomarker of BrM, which combined with GRP94 predicts BrM progression in non-Luminal tumors 4.04-fold (1.19-8.22, p = 0.025), suggesting that both biomarkers are useful to stratify BrM risk at early diagnosis. We propose a new follow-up protocol for the early prevention of clinical BrM of breast cancer patients with BrM risk.

FN14 and GRP94 expression are prognostic/predictive biomarkers of brain metastasis outcome that open up new therapeutic strategies.

Brain metastasis is a devastating problem in patients with breast, lung and melanoma tumors. GRP94 and FN14 are predictive biomarkers over-expressed in primary breast carcinomas that metastasized in brain. To further validate these brain metastasis biomarkers, we performed a multicenter study including 318 patients with breast carcinomas. Among these patients, there were 138 patients with metastasis, of whom 84 had brain metastasis. The likelihood of developing brain metastasis increased by 5.24-fold (95%CI 2.83-9.71) and 2.55- (95%CI 1.52-4.3) in the presence of FN14 and GRP94, respectively. Moreover, FN14 was more sensitive than ErbB2 (38.27 vs. 24.68) with similar specificity (89.43 vs. 89.55) to predict brain metastasis and had identical prognostic value than triple negative patients (p < 0.0001). Furthermore, we used GRP94 and FN14 pathways and GUILD, a network-based disease-gene prioritization program, to pinpoint the genes likely to be therapeutic targets, which resulted in FN14 as the main modulator and thalidomide as the best scored drug. The treatment of mice with brain metastasis improves survival decreasing reactive astrocytes and angiogenesis, and down-regulate FN14 and its ligand TWEAK. In conclusion our results indicate that FN14 and GRP94 are prediction/prognosis markers which open up new possibilities for preventing/treating brain metastasis.

Genetic testing in hereditary breast and ovarian cancer using massive parallel sequencing.

High throughput methods such as next generation sequencing are increasingly used in molecular diagnosis. The aim of this study was to develop a workflow for the detection of BRCA1 and BRCA2 mutations using massive parallel sequencing in a 454 GS Junior bench top sequencer. Our approach was first validated in a panel of 23 patients containing 62 unique variants that had been previously Sanger sequenced. Subsequently, 101 patients with familial breast and ovarian cancer were studied. BRCA1 and BRCA2 exon enrichment has been performed by PCR amplification using the BRCA MASTR kit (Multiplicom). Bioinformatic analysis of reads is performed with the AVA software v2.7 (Roche). In total, all 62 variants were detected resulting in a sensitivity of 100%. 71 false positives were called resulting in a specificity of 97.35%. All of them correspond to deletions located in homopolymeric stretches. The analysis of the homopolymers stretches of 6 bp or longer using the BRCA HP kit (Multiplicom) increased the specificity of the detection of BRCA1 and BRCA2 mutations to 99.99%. We show here that massive parallel pyrosequencing can be used as a diagnostic strategy to test for BRCA1 and BRCA2 mutations meeting very stringent sensitivity and specificity parameters replacing traditional Sanger sequencing with a lower cost.

Analysis of the pathologic response to primary chemotherapy in patients with locally advanced breast cancer grouped according to estrogen receptor, progesterone receptor, and HER2 status.

PURPOSE: In clinical practice, it is possible to classify breast tumors according to estrogen receptor (ER), progesterone receptor (PgR), and HER2 overexpression: ER negative, PgR negative, and HER2 overexpressing; ER negative, PgR negative, and HER2 negative; ER positive, PgR positive, and HER2 negative; ER positive, PgR positive, and HER2 overexpressing; and the less frequent remaining 4 combinations. The aim of this study was to determine the percentage of pathologic complete response (pCR) in patients with locally advanced breast cancer (LABC) treated with neoadjuvant or primary chemotherapy with anthracyclines and taxanes grouped according to ER, PgR, and HER2 status. PATIENTS AND METHODS: Patients with LABC treated with primary chemotherapy including anthracyclines and taxanes were grouped according to ER, PgR, and HER2 status; pCR rates were analyzed using the chi(2) test; and correlations with a P value of < or = 0.05 were considered statistically significant. RESULTS: A total of 103 patients were treated. Only 100 patients were included for the analysis of pCR. Eighteen patients exhibited pCR. The pCR rate for each subgroup was as follows: 39.1% (9 of 23) had ER-negative, PgR-negative, and HER2-negative disease (P < 0.01); 35.7% (5 of 14) had ER-negative, PgR-negative, and HER2-overexpressing disease; 33.3% (3 of 9) had ER-positive, PgR-positive, and HER2-overexpressing disease; and 2.8% (1 of 36) had ER-positive, PgR-positive, and HER2-negative disease (P < 0.01). CONCLUSION: In patients with LABC, grouping breast tumors according to ER, PgR, and HER2 status can help predict pCR to primary chemotherapy.