RhoA protein is over-expressed in breast cancer and other solid tumors and has been used in tumor biopsies as a quantitative tumor marker for progression, stage and prognosis in molecular detection strategies. Measuring protein markers in plasma or blood cells is preferred to tumor biopsies as it represents a minimally invasive, repeatable measurement that can be followed over time. In this study we evaluated the hypothesis that quantitative RhoA protein expression in circulatory lymphocytes is identically associated with the same tumor clinico-pathological features found in biopsies. RhoA protein levels were analyzed by Western blotting in circulating lymphocytes isolated from 52 consecutive patients with breast cancer and in 34 paired breast tumor biopsies from the same case study, and compared with the following clinico-pathological features of the patients: histological grade, tumor size, steroid receptor status, lymphonode status, proliferative activity and prognosis [Nottingham Prognostic Index (NPI)]. We observed that the level of circulatory, peripheral lymphocyte RhoA expression reflected that found in the matched biopsy of the same patient. Furthermore, similarly to previous reports regarding breast cancer tissue biopsies, the level of RhoA protein expression in both biopsies and in circulatory lymphocytes was positively associated with tumor size, grade, proliferative activity of the tumor biopsy and NPI, while there was no significant association of RhoA protein expression with either estrogen-or progesterone-receptor expression. Our study demonstrated that the association of lymphocyte RhoA protein expression with classical clinico-pathological parameters closely corresponded with that observed for RhoA protein expression in the tumor biopsies. We propose that measurement of RhoA expression in the circulatory lymphocytes of breast cancer patients can be used to predict breast cancer occurrence, progression and prognosis and may prove valuable in the management of cancer patients.
BACKGROUND: Tumor infiltrating lymphocytes (TILs) are widely considered a key sign of the immune interaction between host and tumor, and potentially prognostic biomarkers of good or bad outcome in many cancers, included invasive breast cancer (BC). However, results about the association between TIL typology, location and BC prognosis, are controversial. The aim of the study was to evaluated the prognostic significance of TIL subtypes (CD4+, CD8+, FOXP3+ T cells) and their location (stromal “s” and intratumoral “i” CD4+ and CD8+) in BC patients, focusing on the association between these markers and immunocheckpoint molecules such as cytotoxic T lymphocyte antigen 4 (CTLA-4), programmed cell death ligand 1 (PD-L1) and its receptor (PD-1). METHODS: CD4+, CD8+, FOXP3+, CTLA4+, PD-L1+ and PD-1+ expression was examined by immunohistochemistry on tissue microarrays (TMAs) from 180 BC patients. Univariate and Kaplan–Meier analyses of disease free survival (DFS) were performed to evaluate the prognostic significance of marker expression. RESULTS: Total CD8+ T cells were not significantly associated with DFS. Differently, patients with iCD8+ and sCD8+ overexpression showed a trend toward respectively a worse (P = .050) and a better 5-years DFS (P = .064). Interestingly, TIL expression of both PD-1+ and PD-L1+, was significantly associated with iCD8+ (P = .0004; P < .0001 respectively), while only TIL expression of PD-1 was associated with sCD8+ (P = .001). CONCLUSION: Our data show that iCD8+ T cells, but no sCD8+ T cells identify a subgroup of patients with poor DFS and this could be due to the overexpression of PD-L1/PD-1 pathway.
The biological and prognostic role of hormone receptor status and proliferative activity have been studied in two series of patients affected by inflammatory breast carcinoma (IBC, 28 patients) and locally advanced breast cancer (LABC, 50 patients). Estrogen receptor (ER) and progesterone receptor (PgR) were measured by dextran-coated charcoal (DCC) method whereas proliferative activity was measured by 3H-thymidine autoradiographic labeling index (LI). The percentages of E R f and P g R f cases resulted lower in IBC than in LABC (ERf, 44% versus 64%; PgR+, 30% versus 51%, respectively), pertaining to both pre-menopausal and postmenopausal women. Inflammatory breast carcinoma showed a higher median LI value than LABC (3.5% versus 1.6%; P = 0.006). Regarding clinical aspects, time to progression (TTP) in IBC patients was not affected by hormone receptor status (19 evaluable patients) or by LI (17 evaluable patients); P g R t status and low LI resulted important for individualizing women with a longer median overall survival (0s). Inflammatory breast carcinoma has been verified to be a heterogeneous biological entity for which hormone receptors and cell kinetics could be useful in identifying patients with different prognoses and therefore candidates for a personalized therapy.
Breast cancer is the main cause of female malignancy worldwide. Effective early detection by imaging studies remains critical to decrease mortality rates, particularly in women at high risk for developing breast cancer. Breast Magnetic Resonance Imaging (MRI) is a common diagnostic tool in the management of breast diseases, especially for high-risk women. However, during this examination, both normal and abnormal breast tissues enhance after contrast material administration. Specifically, the normal breast tissue enhancement is known as background parenchymal enhancement: it may represent breast activity and depends on several factors, varying in degree and distribution in different patients as well as in the same patient over time. While a light degree of normal breast tissue enhancement generally causes no interpretative difficulties, a higher degree may cause difficulty to detect and classify breast lesions at Magnetic Resonance Imaging even for experienced radiologists. In this work, we intend to investigate the exploitation of some statistical measurements to automatically characterize the enhancement trend of the whole breast area in both normal and abnormal tissues independently from the presence of a background parenchymal enhancement thus to provide a diagnostic support tool for radiologists in the MRI analysis.
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