The purpose of this study was to investigate the association among matrix metalloproteinases (gelatinases A and B, stromelysin-3 (ST3) and matrilysin) mRNAs expressed in primary breast carcinomas and standard prognostic parameters and clinical outcome. mRNA levels were determined by Northern analysis in samples of 81 breast cancer patients (median follow-up, 40 months) and 27 samples of uninvolved adjacent breast tissue. Proteases were expressed by the majority of the tumors and normal breast tissues examined. ST3, gelatinase A and matrilysin mRNAs were more often expressed at high levels in carcinomatous than in normal breast tissues. Differences in the distribution of gelatinase B mRNA were not found. However, paired normal tissues generally produced weaker signals when compared to matched tumor samples. Univariate analysis showed no significant association of gelatinase A and matrilysin mRNAs with the classical prognostic markers (age, menopausal status, stage, size, nodal status, vascular infiltrate, necrosis, steroid receptors, metastasis and survival). Overexpression of ST3 was more frequently found in tumors of post-menopausal women (P < 0.022). Elevated expression of gel B mRNA was associated with the presence of vascular infiltrate (P < 0.026), necrosis (P < 0.039), PR negative tumors (P < 0.014) and inversely correlated to the number of survivors (P < 0.021). Multivariate analysis including 68 patients for whom all information was available indicated that neither stromelysin correlated significantly with pathological, clinical or biochemical features. High levels of gelatinase A and B mRNAs were inversely associated with the number of survivors. Our findings suggest that measurements of gelatinase A and B mRNAs expression in breast carcinoma may help to identify patients with an aggressive form of the disease.
An increasing interest in environmental problems around the world has significantly expanded the demand for green goods, transforming green marketing into an effective tool for businesses to achieve competitive advantage. Yet, as more firms become aware of this strategic advantage, greenwashing activities can also flourish, and customers grow more cautious about green efforts by firms. The present research examines how greenwashing expectations of customers affect their green buying decisions by studying how green trust, consumer brand engagement and green word-of-mouth mediate this relationship. A total of 302 subjects participated in a survey to study greenwashing effects using a high involvement green ad and a low involvement green ad. Results were analyzed using a PLS-SEM approach. The findings show that the greenwashing expectations of customers have no direct effect on green purchase decisions, but that green trust and green word-of-mouth mediate this relationship. Likewise, greenwashing perception significantly affects customer brand engagement indirectly through green trust and there is a full mediation between greenwashing perception and green purchasing intention through green trust, customer brand engagement and green word of mouth. Therefore, the study shows that having a low perception of greenwashing is not enough to increase purchases. For that to occur, companies need to ensure that WOM communicates such efforts and that consumers trust these green initiatives.
Linkage studies have indicated that a gene on chromosome arm 17q, designated BRCA1, confers susceptibility to familial breast and ovarian cancer. To investigate the possible involvement of the BRCA1 gene in sporadic breast cancer we have analysed loss of heterozygosity (LOH) in a panel of 100 sporadic primary breast tumours using 10 PCR-based polymorphic markers from 17q12-21. Allele losses were detected in 40 of 100 tumours informative for at least one of the markers analysed. Of these 40 deleted tumours, 27 showed partial or interstitial loss on 17q. The pattern of LOH in the tumours with partial or interstitial LOH revealed three putative distinct deleted regions on 17q12-21. The first lies on the proximal long arm between D17S250 and THRA1; the second one lies between D17S776 and D17S579, the region containing the BRCA1 gene; and the third is telomeric to D17S733. The most frequently deleted region overlaps with the minimal region containing the BRCA1 gene, suggesting that this gene might also be associated with the development or progression of a proportion of sporadic breast tumours.
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