These results indicate that a decrease in hepatic cathepsin expression in NAFLD is associated with autophagic dysfunction. Hepatic inflammation correlates with autophagic dysfunction in NAFLD. These findings indicate that the suppression of autophagic proteolysis by hepatic steatosis is involved in the pathogenesis of NAFLD.
In squamous cell carcinoma (SCC) of the esophagus, D2-40 immunostaining has recently been used to detect lymphatic invasion, but invasion detected using D2-40 immunostaining for a predictor of nodal metastasis was controversial. Therefore, the usefulness of detecting lymphatic invasion by D2-40 immunostaining as a predictor of nodal metastasis was examined in superficial (mucosal and submucosal) SCC of the esophagus. A total of 115 superficial SCC of the esophagus were examined on immunohistochemistry using D2-40. It was found that lymphatic invasion demonstrated on D2-40 immunostaining was mainly detected in the lamina propria mucosa. Lymphatic invasion was found in 37 cases and the invasion detected in the entire tumor tissue was statistically correlated with nodal metastasis. Based on the lymphatic invasion according to D2-40 immunostaining, an algorithm was devised for the risk (low, intermediate and high) of nodal metastases in superficial SCC in the esophagus. In conclusion, the detection of lymphatic invasion on D2-40 immunostaining in tumor tissue is a strong predictor for nodal metastasis in superficial SCC of the esophagus. Lymphatic invasion was found mainly in the lamia propria mucosa, thus the devised algorithm is useful for determining the optimal treatment strategy after endoscopic mucosal resection for esophageal SCC.
In cervical SCC, a grading system for lymphatic invasion according to D2-40 immunostaining is useful for the prediction of nodal metastasis and grade 2 lymphatic invasion is a strong predictor of nodal metastasis.
BackgroundPatients with luminal HER2-negative tumours have a favourable prognosis. However, there is a subpopulation in which poorer outcomes are obtained with endocrine therapy alone. This subpopulation is considered to benefit from chemotherapy. However, the significance of chemotherapy for those with luminal tumours has decreased due to recent changes in treatment strategies. Thus, it is often difficult to determine whether we should recommend chemotherapy to such patients in clinical practice. We investigated Ki67 expression, as a means of predicting the responses of luminal HER2-negative breast cancer patients to neo-adjuvant chemotherapy (NAC), in order to identify a subpopulation that would benefit from these treatments.MethodsWe enrolled 114 luminal HER2-negative breast cancer patients undergoing surgery after NAC. Biomarkers were examined using biopsy specimens obtained prior to treatment, to avoid any chemotherapy-related effects. Chemotherapy effects were determined employing operative specimens and we defined pathological complete response (pCR) as invasive nest disappearance, based only on the primary breast tumour. We applied receiver operating characteristic curve analysis to data from our 114 patients, to investigate Ki67 expression as a predictor of pCR.ResultsThe pCR rate was significantly higher for tumours with high Ki67 expression (p < 0.01) and all patients who obtained pCR remained recurrence-free during the median 58-month observation period. We identified 35% as the Ki67 cut-off value which distinguishes those with a pCR from other cases. Another dataset, comprised of 196 patients with a median 29-month observation period, was recruited for validation. Disease-free survival was found to be significantly (p < 0.01) lower in the patients with tumours in which Ki67 expression was higher than 35%.ConclusionOur results raise the possibility of the luminal HER2-negative subpopulation with Ki67 expression higher than 35% benefiting from chemotherapy, as evidenced by improved survival.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2407-14-550) contains supplementary material, which is available to authorized users.
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