Relationship between AgNOR Proteins, Ki-67 Antigen, p53 Immunophenotype and Differentiation Markers in Archival Breast Carcinomas

The present study investigated (i) the relationship between standardised morphometric AgNOR parameters (argyrophilic nucleolar organiser region-associated proteins) and MIB1 growth fraction, and (ii) their correlation with immunohistochemical p53, sex steroid receptor status and histopathological differentiation grade in serial paraffin sections from 39 breast carcinomas. Ten sections were double-stained for AgNOR/MIB1. AgNOR parameters correlated significantly with MIB1 growth fraction and p53 protein expression. Significant inverse correlation was found between proliferation markers and oestrogen/progesterone receptor status and histopathological grade. AgNOR expression was significantly higher in cycling (MIB1 positive) tumour cells, than in resting (MIB1 negative) ones, however with exceptions. We conclude, that standardised AgNOR parameters correlate with markers of increased malignant potential in breast carcinomas. However, AgNORs seem to reflect proliferation independent cellular and nucleolar activity of tumour cells, as well. We recommend the use of standardised AgNOR analysis for obtaining sound results in routine paraffin sections

A novel 2-metagene signature to identify high-risk HNSCC patients amongst those who are clinically at intermediate risk and are treated with PORT.

(1) Background: Patients with locally advanced head and neck squamous cell carcinoma (HNSCC) who are biologically at high risk for the development of loco-regional recurrences after postoperative radiotherapy (PORT) but at intermediate risk according to clinical risk factors may benefit from additional concurrent chemotherapy. In this matched-pair study, we aimed to identify a corresponding predictive gene signature. (2) Methods: Gene expression analysis was performed on a multicenter retrospective cohort of 221 patients that were treated with postoperative radiochemotherapy (PORT-C) and 283 patients who were treated with PORT alone. Propensity score analysis was used to identify matched patient pairs from both cohorts. From differential gene expression analysis and Cox regression, a predictive gene signature was identified. (3) Results: 108 matched patient pairs were selected. We identified a 2-metagene signature that stratified patients into risk groups in both cohorts. The comparison of the high-risk patients between the two types of treatment showed higher loco-regional control (LRC) after treatment with PORT-C (p < 0.001), which was confirmed by a significant interaction term in Cox regression (p = 0.027), i.e., the 2-metagene signature was indicative for the type of treatment. (4) Conclusion: We have identified a novel gene signature that may be helpful to identify patients with high-risk HNSCC amongst those at intermediate clinical risk treated with PORT, who may benefit from additional concurrent chemotherapy