Immature Stroma and Prognostic Profiling in Colorectal Carcinoma: Development and Validation of Novel Classification Systems.

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.

Tumor Budding in Colorectal Carcinoma Showing a Paradoxical Mitotic Index (Via PHH3) With Possible Association to the Tumor Stromal Microenvironment.

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.

Potential Pitfalls in Diagnostic Digital Image Analysis: Experience with Ki-67 and PHH3 in Gastrointestinal Neuroendocrine Tumors.

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.

Tumor budding in colorectal carcinoma: An institutional interobserver reliability and prognostic study of colorectal adenocarcinoma cases.

BACKGROUND: Colorectal carcinomas are one of the most commonly diagnosed malignancies. There are many prognostic factors relating to clinical course and disease progression, including tumor stage, metastasis, and tumor budding. In 2016, the International Tumor Budding Consensus Conference (ITBCC) created a system to uniformly assess tumor budding. This system includes a 3-tier system for the grading of tumor budding. In the past, there lacked uniform consensus, however the general grading practice was based on a 2-tiered system. Given that tumor budding is considered to have prognostic value, the accuracy and reproducibility of its assessment is vital. Our study aims to look at interobserver agreement in the scoring of tumor budding. DESIGN: A total of 233 cases of colorectal carcinoma diagnosed in our health system were retrospectively analyzed and routine H&E stained slides of these cases were collected. A representative slide for tumor budding was selected per case. Four investigators with different levels of experience and expertise evaluated the selected slide of each case for tumor budding. Scoring was based on the ITBCC protocol. Clinico-pathological data was collected for each case and analyzed with tumor budding scores. Tumor budding scores per individual investigator and consensus tumor budding score were compared to patient and tumor characteristics including patient survival, tumor grade, tumor stage, and lymph node status. RESULTS: Inter-observer agreement was calculated using Gwet's Agreement Coefficient (AC1) and associated 95% confidence intervals was used to compare the ratings made by 4 pathologists. Overall, there was variation among pathologists in tumor budding score (Gwet's agreement coefficient = 0.25 and 0.326 for 3-tier and 2-tier grading system, respectively). Results show higher reliability with the 2-tier system compared to the 3-tier system. Tumor stage was significantly associated with budding score for all individual investigators and the consensus value (p value < 0.001). CONCLUSION: There is low inter-observer agreement in the assessment of tumor budding in colorectal carcinoma. This suggests that it is difficult to uniformly grade tumor budding and that our classification system needs improvement. We found that the older 2-tier system (Hase et al.) results in slightly higher inter-observer agreement than the recently proposed 3-tier grading system (ITBCC, 2016), though both systems lead to suboptimal agreement. Worth noting is that observers with subspecialty GI training and more work experience had higher inter-observer agreement. Our results showed that subspecialty training tends to increase agreement more than overall work experience. In addition, our exploratory results showed that there is an association of tumor budding score to tumor stage. While increasing refinement in classification, the 3-tiered system resulted in decreased agreement in tumor budding assessment. Clearly, there is more work to be done in the identification and quantification of tumor buds.

Ex vivo Efficacy of Anti-Cancer Drug PNC-27 in the Treatment of Patient-Derived Epithelial Ovarian Cancer.

OBJECTIVE: Despite an 80% response rate to chemotherapy, epithelial ovarian cancer has the highest case fatality rate of all gynecologic malignancies. Several studies have shown the efficiency of anticancer peptides PNC-27 and PNC-28 in killing a variety of cancer cells selectively in vitro and in vivo. The purpose of this study was to evaluate the efficacy of PNC-27 against human primary epithelial ovarian cancer. METHODS: We established primary cultures of freshly isolated epithelial ovarian cancer cells from patients with newly diagnosed ovarian cystadenocarcinomas. Two cell lines were obtained, one from mucinous cystadenocarcinoma, and the other from high-grade papillary serous carcinoma. The cancerous properties of these cells were characterized in vitro morphologically, by their growth requirements and serum independence. Treatment effects with PNC-27 were followed qualitatively by light microscopy, and quantitatively by measuring inhibition of cell growth using the MTT cell proliferation assay and direct cytotoxicity by measuring lactate dehydrogenase (LDH). RESULTS: PNC-27 inhibits in a dose-dependent manner the growth of and is cytotoxic to human primary cancer cells that had been freshly isolated from two ovarian epithelial cancers. The results further show that the control peptide PNC-29 has no effect on the primary cancer cells. Our results also show that PNC-27 is cytotoxic to cells from long-established and chemotherapy-resistant human ovarian cancer cell lines. CONCLUSION: These findings show, for the first time, the efficacy of PNC-27 on freshly isolated, primary human cancer cells. Our results indicate the potential of PNC-27 peptide as an efficient alternative treatment of previously untreated ovarian cancer as well as for ovarian cancers that have become resistant to present chemotherapies.