Objective: To evaluate the status of C-MYC protein expression and Ki-67 proliferative index and to clarify their role in predicting relapse of diffuse large B cell lymphoma (DLBL). Materials and Methods: A retrospective study conducted on 50 cases diagnosed as DLBL in a 3 years’ time period from January 2014 till December 2016, collected from the archive of Pathology Departments of the National Cancer Institute Cairo - Egypt, Misr University for Science and Technology and private labs of authors. The diagnosis of DLBL for all cases, both nodal and extranodal, was confirmed by histopathologic examination and immunophenotyping. Automated immunohistochemical staining using antibodies against C-MYC protein and MIB-1 was used to evaluate the C-MYC expression in tumor cells and to assess their proliferative ability by calculating Ki-67 labelling index. The relation between the percentage of C-MYC protein expression, Ki-67 proliferative index, clinical data and the relapse status during the follow up period were analyzed. Results: A total of 50 cases of DLBL in both nodal and extra-nodal sites were included. Twenty-three cases (46%) were expressing the C-MYC protein, and 29 cases (58%) showed high Ki-67 proliferative index. Twenty-two cases (44%) relapsed during the follow-up period. Positive C-MYC protein expression was significantly associated with high Ki-67 proliferative index. C-MYC protein expression and high Ki-67 proliferative index were independently associated with disease relapses in 81.8% and 86.4% of cases respectively. Cases with combined C-MYC protein expression and high Ki-67 proliferative index showed statistical prediction of relapse in 81.8% of cases. Conclusion: C-MYC protein expression and high Ki-67 proliferative index were independently associated with relapse of diffuse large B cell lymphoma. Furthermore, the combined positive C-MYC protein expression and high Ki-67 proliferative index is better than a single positive test in predicting relapses among DLBL patients.

Objectives: To identify the relevance of neuroendocrine differentiation in non-small cell lung cancer and its correlation with different pathological features. Materials and Methods: A total number of 30 cases of per cutaneous CT guided biopsies of primary non-small lung cancer were collected in the pathology department of Misr University for Science and Technology Giza, Egypt and private practice in the time period from January 2018 till December 2020. Immunohistochemical study for neuroendocrine differentiation was performed using mono clonal antibodies against synaptophysin, chromogranin A and CD56. For all selected cases, clinical and pathological data such as age, gender, histologic types, grade and clinical stage were collected, tabulated and statistically analyzed with the results of neuroendocrine markers expression. Cases with incomplete pathological data and cases with histologic picture of neuroendocrine differentiation were excluded. Results: A total number of 30 cases of primary non-small lung cancer were enrolled in this study. The median age of patients was 61.5 years. There were 21 (70%) males and 9 (30%) females. Regarding neuroendocrine markers, positivity for either marker was identified in 23.3% of non-small cell lung cancer. Chromogranin A was positively expressed in 9 (30%) of cases, synaptophysin was positively expressed in 7 (23.3%) of cases and CD56 was positively expressed in 5 (16.7%) of cases. Only 2 cases (6.7%) showed co-expression of two markers. It was found that there was a high significant relation between chromogranin A expression and clinical stage. Chromogranin A expression was significantly higher in stage III than stage I and II (P<0.001). There was no statistical significant difference between synaptophysin, chromogranin A and CD56 expressions and the rest of the studied pathologic data. Conclusion: A considerable number of non-small cell lung cancer has neuroendocrine differentiation for at least one neuroendocrine marker despite absence of morphologic features. Much less number of cases showed expression of two markers. A reasonable panel of neuroendocrine markers is recommended to detect this differentiation which may have a clinical impact and optimize an alternative therapeutic option.