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Colorectal cancer is a heterogenous disease with striking biological diversity. Colorectal carcinoma (CRC) is one of the most common malignancies, accounting for over 9% of all cancers worldwide. To put it in perspective, 5% of people will develop CRC in their lifetime. Biomarkers specific to a particular cancer type can assist in the evaluation of survival probability and help clinicians assess treatment modalities, an example being programmed death ligand-1 (PD-L1). With regards to PD-L1, this is the first study to evaluate the SP-142 antibody clone in CRC. The Ventana PD-L1 (SP-142) assay for PD-L1 expression identifies patients who may benefit from treatment with atezolizumab. SP-142 was chosen as large stage 3 clinical trials are being undertaken with atezolizumab in CRC. Indoleamine 2,3-dioxygenase (IDO-1) was also chosen as there are several ongoing trials for Epacadostat, the best-in-class oral IDO-1 enzyme inhibitor, in many solid tumors. For solid tumors, IDO-1-based immune escape has the potential to inhibit monotherapeutic efficacy of PD-L1-based therapeutics. In this study, a total of 223 cases of CRC were retrospectively reviewed and clinicopathologic data were analyzed in relation to PD-L1 and IDO-1 protein expression. Moreover, tumor-infiltrating lymphocytes, mismatch repair deficiency, high mitotic index, and worse survival outcomes were found in cohorts with significant PD-L1 and IDO-1 expression. Both PD-L1 and IDO-1 are actionable biomarkers, with potential therapeutic implications in CRC. Our findings support the theoretical foundation for targeting PD-L1 and IDO-1 in CRC, which now needs verification in well-designed robust clinical trials., Competing Interests: The authors declare no conflict of interest., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Colorectal carcinomas (CC) are one of the most commonly diagnosed malignancies. Tumor budding (the histologic process of dissociation that occurs at the invasive margin of colorectal cancer), has significant prognostic implications, in that higher tumor budding is associated with adverse histopathologic and clinical outcomes. Because of this prognostic significance, more research is needed to further understand the pathologic and immunohistochemical (IHC) associations pertaining to this important prognostic variable. In this study, we will further evaluate selective clinopathologic and IHC variables with possible association to tumor budding., Design: A total of 234 cases of CC diagnosed in our health system were retrospectively reviewed and routine hematoxylin and eosin-stained slides of these cases were collected. A representative slide for tumor budding was selected per case and selective IHC staining was performed. Clinicopathologic data were collected for each case and analyzed in relation to tumor budding scores. In exploratory analyses, tumor budding scores per individual investigator and consensus tumor budding scores were compared with selected IHC stains (MLH1, PMS2, and PHH3) as well as numerous clinicopathologic variables., Results: We found a paradoxical association between tumor budding and mitosis score using PHH3 immunostaining in univariate and multivariable analysis. Furthermore, patients with intact nuclear expression for MLH1 and/or PMS2 are more likely to have higher tumor budding compared with patients with lost expression. For multivariable analysis, the following covariates were significantly associated with higher tumor budding: the presence of lymphovascular invasion, higher pathologic tumor stage, and finally infiltrating border was more likely to be associated with higher tumor budding compared with cases with a pushing border. Regarding nonmucinous versus mucinous CC, nonmucinous adenocarcinoma (MCA) was more likely to be associated with higher tumor budding compared with MCA., Conclusion: Numerous clinicopathologic variables were found to be associated with tumor budding including lymphovascular invasion, tumor stage, infiltrating tumor border, non-MCA was more likely to be associated with higher tumor budding compared with MCA, possibly related to MUC-2 and MSI. Furthermore, regarding the paradoxical association between tumor budding and mitosis score using a PHH3 immunostaining (high tumor budding having lower mitosis), this is possibly related to the tumoral stomal microenvironment and cancer associated fibroblasts. An idea for a future study would be to look at the maturity of cancer-associated fibroblasts (immature vs. mature) and the tumoral stroma microenvironment, with regards to markers of tumor aggressiveness such as mitosis. In addition, we found that patients with intact nuclear expression for MLH1 and/or PMS2 were more likely to have higher tumor budding compared with patients with lost expression, possibly related to mismatch repair CC's not being as reliant on tumor budding. Future research will hopefully concede further insight into the variables that affect tumor budding, especially regarding the tumoral microenvironment and variations between different patient populations, inclusive of patients lacking activity of the mismatch repair. Ultimately, this will allow for better prognostic information, and more precise treatment modalities.

Background: Carcinosarcoma (CS) or malignant mixed Müllerian tumor (MMMT), is a rare malignant biphasic tumor, which contains both a malignant epithelial and mesenchymal component. That being said, they have an aggressive clinical course. Given that immune checkpoint inhibitors have mustered significant excitement in the oncology world - immunotherapy could offer significant promise to this poor prognostic cancer subtype. A total of 75 carcinosarcoma cases were identified in our institutional database from 2010 to 2019 and immunohistochemistry for PD-L1, PD-1 and IDO-1 was performed. Out of the 75 patients, 65(87 %) demonstrated >1 % PD-1 expression and 50(67 %) expressed >1 % PD-L1 in either the tumoral and immune stromal components. 29 (39 %) cases demonstrated >20 % PD-1 expression and 14 (19 %) cases expressed >20 % PD-L1. 41(55 %) cases demonstrating co-expression of PD-1 and PD-L1. For IDO-1 64 (85 %) patients showed at least >5 %, while 34 (45 %) showed staining above 20 %. 45 patients (60 %) showed co-expression of IDO-1 and PD-L1, while 59 (79 %) patients had co-expression of IDO and PD-1 above 5 and 1 % respectively. Regarding clinicopathologcial features; older patients (> 65) were more likely to express PD-L1 (>1 %) and IDO-1 (>20 %). For tumor size, IDO-1 expression (>5 %), along with PD-1/IDO-1 Co-expression (>1/5 %), was associated with larger tumor size (>5cm). For myometrial invasion, CSs with >50 % invasion were more likely to express IDO-1 (>20 %) and PD-1/IDO-1 (>1/5 %). Ultimately, the effect of IDO-1, PD-1 and PD-L1 on the clinical profile may be less important than its potential use as a immunotherapeutic, where safe and effective corresponding drugs could be used to treat particular patient populations. Future clinical trials are needed to decipher the association between immune check point inhibitor expression and therapeutic response. This is the only way to definitively prove immune checkpoint immunohistochemistry as predictive biomarkers in this cancer subtype., 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.)