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Many pathological characteristics have utility for predicting prognosis in colorectal carcinoma (CRC). Some of the most important include tumor stage (TS), lymph node status (LNS) and tumor budding (TB). Tumor budding is a phenomenon originally described in 1949 as sprouting. TB assessment is not always reliable however, as it is subject to high inter-observer variation. This finding persists despite the current trends for sub-specialty training in surgical pathology. In light of this, new and reproducible histological prognostic markers could change the way we diagnose and manage patients with colorectal carcinoma. Studies have shown that desmoplastic reaction (DR) categorization can actually outperform other conventional prognostic factors, including tumor budding and tumor stage in predicting disease-free survival (DFS). Our study aimed to evaluate and assess the prognostic value of desmoplastic reaction in an American cohort with colorectal cancer using 3 different stromal classification scoring systems. In all three stromal grading systems, immature stroma was the most significant independent prognostic factor in CRC. Currently, none of the reporting protocols for the College of American Pathologists, the Royal College of Pathologists of the United Kingdom, and the Japanese Society for Cancer report on the presence of immature stroma. Importantly, regarding the ability to predict survival outcomes, our novel classification system has the potential to outperform other scoring methodologies., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest in this work., (Copyright © 2020 Elsevier GmbH. All rights reserved.)

Gastrointestinal neuroendocrine tumors, or GI-NETs are a highly diverse group of tumors derived from neuroendocrine cells of the GI tract. In GI-NET, a spectrum of histological and molecular parameters exists to predict prognosis and survival. Immunohistochemistry for Ki67, a nuclear antigen that is present in all but the G0 phase of the cell cycle with specificity for proliferating cells, can be used to determine a tumors proliferation index. With this in mind, grading of gastrointestinal neuroendocrine tumors is critical for prognosis and can impact clinical decision making. Recently, digital image analysis (DIA) has been shown in studies to be a superior and less time-consuming alternative to the manual scoring of Ki-67 in breast cancer, secondary to its theoretical diagnostic reproducibility. In DIA, the correct identification of tumor cells and non-tumor is paramount to avoid over or under calculation of biomarker expression. Additionally, DIA requires a pathologist to manually outline a tumor in large tissue areas of hematoxylin and eosin (H&E) sections, which is impractical. The findings in our study showed that ventana virtuoso software computer analyzed Ki-67 only correlated well with Neuroendocrine carcinomas while manual analysis of mitotic index and Ki67 were found to be gold standard. The performance of DIA in our study was plagued by software issues. In future, the advent of new digital imaging technologies such as virtual dual staining will hopefully improve diagnostic accuracy and reproducibility across different DIA platforms. Ultimately, determination of therapeutic strategies should be guided by an amalgamation of clinicopathologic characteristics not limited to mitotic index and Ki-67. As well, A visual check of the results should always be performed and correlated with other findings., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest in this work., (Copyright © 2019 Elsevier GmbH. All rights reserved.)