Background/Aims: To analysis the appendiceal mucinous lesions according to the World Health Organization (WHO) 2010 and 2019 classification of tumors of the digestive system (non-neuroendocrine tumors of the appendix vermiformis) Materials and Methods: Clinical and histopathological data of 37 patients with histopathologically proven appendiceal mucinous lesion from January 2010 to May 2019 were evaluated retrospectively. Pathology slides were re-evaluated by two pathologists according to the WHO 2010 and WHO 2019 classification of tumors of the digestive system. Results: Totally 37 patients (male:19 female: 18) aged 23 to 93 years were analyzed. Majority of the patients (75.7 %) had underwent appendectomy due to preliminary diagnosis of acute appendicitis (n=22) or periappendiceal tumoral lesions (n=9), the others (n=9) underwent incidental appendectomy. Whereas acute appendicitis was histopathologically diagnosed in 16 (43.2%) patients, perforation was diagnosed in 12 (32.4%) patients (perforation without appendicitis=3, perforation with appendicitis=6). According to WHO 2010 classification, pathology reports were prepared as follows: mucocele (n=10), mucinous cystadenoma (n=9), low-grade mucinous neoplasm (n=6), mucinous adenocarcinoma (n=5), mucosal hyperplasia + mucocele (n=3), mucosal hyperplasia (n=2), hyperplastic polyp (n=1), adenomatous polyp (n=1). On the basis of the WHO 2019 classification, pathology reports were prepared as follows: low-grade mucinous neoplasm (n=17), simple retention cysts (n=6), hyperplastic polyp (n=6), mucinous adenocarcinoma (n=5), ruptured appendiceal diverticula (n=2), sessile serrated lesion (n=1). Conclusion: The term of appendiceal mucinous lesion, which is recently introduced into medical literature is suitable to distinguish between lesions with and without malignancy potential. The WHO 2019 classification system has been an important step in simplifying the classification of non- neuroendocrine tumors of the appendix vermiformis.

Immunotherapy can revolutionize anti-cancer therapy if specific targets are available. Immunogenic peptides encoded by cancer-specific genes (CSGs) may enable targeted immunotherapy, even of oligo-mutated cancers, which lack neo-antigens generated by protein-coding missense mutations. Here, we describe an algorithm and user-friendly software named RAVEN (Rich Analysis of Variable gene Expressions in Numerous tissues) that automatizes the systematic and fast identification of CSG-encoded peptides highly affine to Major Histocompatibility Complexes (MHC) starting from transcriptome data. We applied RAVEN to a dataset assembled from 2,678 simultaneously normalized gene expression microarrays comprising 50 tumor entities, with a focus on oligo-mutated pediatric cancers, and 71 normal tissue types. RAVEN performed a transcriptome-wide scan in each cancer entity for gender-specific CSGs, and identified several established CSGs, but also many novel candidates potentially suitable for targeting multiple cancer types. The specific expression of the most promising CSGs was validated in cancer cell lines and in a comprehensive tissue-microarray. Subsequently, RAVEN identified likely immunogenic CSG-encoded peptides by predicting their affinity to MHCs and excluded sequence identity to abundantly expressed proteins by interrogating the UniProt protein-database. The predicted affinity of selected peptides was validated in T2-cell peptide-binding assays in which many showed binding-kinetics like a very immunogenic influenza control peptide. Collectively, we provide an exquisitely curated catalogue of cancer-specific and highly MHC-affine peptides across 50 cancer types, and a freely available software (https://github.com/JSGerke/RAVENsoftware) to easily apply our algorithm to any gene expression dataset. We anticipate that our peptide libraries and software constitute a rich resource to advance anti-cancer immunotherapy.

Background: Examinations of procalcitonin (PCT) and Ki-67 expression levels in hepatocellular carcinoma (HCC) patients who have undergone liver transplantation (LT) through immunohistochemical analyses of tumor tissue may reveal the biological characteristics of the tumor, thus informing the selection of HCC patients for LT. Methods: Hepatectomy specimens from 86 HCC patients who underwent LT were obtained and analyzed immunohistochemically for the expression of PCT and Ki-67. The percentage and intensity of PCT staining, as well as the percentage of Ki-67 expression, were assessed for each patient. The impacts of PCT and Ki-67 expression on disease-free survival, overall survival, and the recurrence rate were studied, as well as their correlations with other clinicopathological features. Results: The recurrent HCC group showed a higher Ki-67 level (p < 0.001), larger maximum dominant tumor diameter (p < 0.001), and higher rate of vascular invasion (p = 0.001). The pre-transplant AFP (p = 0.001), maximum dominant tumor diameter (p < 0.001), number of tumor nodules (p < 0.001), rate of vascular invasion (p = 0.001), and Ki-67 level (p = 0.044) were higher in patients beyond the Milan criteria. Similarly, the pre-transplant AFP (p < 0.001); maximum dominant tumor diameter (p < 0.001); number of tumor nodules (p < 0.001); rates of portal vein tumor thrombus (p = 0.002), poor differentiation (p = 0.021), and vascular invasion (p < 0.001); and Ki-67 level (p = 0.010) were higher in patients beyond the expanded Malatya criteria. The maximum dominant tumor diameter (p = 0.006); Ki-67 level (p = 0.003); rates of vascular invasion (p < 0.001), cases beyond the Milan criteria (p = 0.042) and the expanded Malatya criteria (p = 0.027), and portal vein tumor thrombus (p = 0.020); and presence of recurrence (p < 0.001) were higher in HCC patients with mortality. The Kaplan–Meier estimates indicated that Ki-67 levels exceeding 5% significantly affected DFS and OS. Although the Kaplan–Meier estimates indicated that a PCT staining percentage of ≥25% did not have a statistically significant effect on DFS or OS, the outcomes may be considered clinically significant. Conclusions: This study demonstrated that the Ki-67 proliferation index can be used as a predictive biomarker of the biological behavior of HCC. Furthermore, we claim that PCT expression over a particular threshold might impact recurrence and survival, and we believe that further multicenter prospective studies focused on standardized PCT antibody staining are crucial in order to determine its potential as a biomarker for HCC.

(2019). Multifocal low-grade endometrial stromal sarcoma arising from pre-existing endometriosis in a hysterectomised patient: a case report. Journal of Obstetrics and Gynaecology. Ahead of Print.