Prognostic impact of tumor budding and EMT in periampullary adenocarcinoma: a quantitative approach

Analyzing Tumor Budding Scores in Invasive Breast Carcinoma: A Tertiary Care Center Study in South India

Introduction and Aim

Tumor budding is a distinctive phenomenon which involves the presence of small clusters or individual cancer cells at the invasive front of tumors. Tumor budding has garnered attention due to its potential implications for prognosis, treatment strategies, and our understanding of cancer progression. Our aim is to study the distribution of tumor buds and its scoring in patients with infiltrating breast carcinoma and to associate with other histopathological parameters like the size of the tumor, its grade, lymphovascular invasion, and lymph node metastasis.

Materials and Methods

This was a study analyzing the data of 70 resected specimens of primary breast carcinomas and providing a descriptive overview. Tumor budding was recognized, counted, and graded in hematoxylin and eosin slides. The cases were classified as low (0-4), intermediate (5-9), and high (≥10 buds) based on the count of tumor buds. Tumor budding has significant correlation with tumor grade and tumor size.

Results

Of the 70 cases, 60 cases (85.71%) were diagnosed as invasive ductal carcinoma NOS. The majority [38 (54.28%)] of the cases showed an intermediate tumor budding score of 5-9/10 HPF.

Conclusion

Evaluation of tumor budding allows pathologists and oncologists to gather valuable information about the tumor's biological aggressiveness and potential for metastasis. It also helps in better risk stratification of patients, enabling a more personalized and tailored approach to treatment planning. In conclusion, assessing tumor budding in breast carcinoma holds significant clinical importance in the management and prognosis of this disease.

The Relationship Between Tumor Budding and Patient's Survival in Breast Cancer

Introduction

Breast cancer is a severe life-threatening condition in which many women are involved yearly. One factor that has recently been noticed and investigated as a diagnostic predictor of this type of cancer is the number of tumor buds and the relation of this factor with a patient's survival rate.

Materials and methods

This study includes 150 female patients over 18 years old with a mean age of 53.99 ± 12.56 years old with breast cancer, which was diagnosed at various medical centers, including Rouhani Hospital itself, and referred to Rouhani Hospital Medical Center, Babol, Iran. The number of intratumoral and peritumoral buds in patients' microscopic slides were archived and evaluated along with tumor microenvironment on hematoxylin and eosin (H&E) slides and compared to other clinicopathological findings. This article precisely investigated the relationship between the number of intratumoral and peritumoral buds with patients' 5-year survival rate. Also, the relationship between age, tumor stage, grade, size, the number of lymph nodes involved, and the presence of metastasis with the number of intratumoral and peritumoral buds was studied.

Results and discussion

The result showed a significant statistical association between the number of intratumoral and peritumoral buds with tumor size, tumor stage, presence of metastasis, the number of lymph nodes involved, and 5-year survival rate. On the other hand, there is not a significant statistical association between the number of intratumoral and peritumoral buds with age and tumor grade.

Conclusion

Our investigation revealed a significant statistical relationship between the number of tumor buds and patients' survival rate. So, this factor should be considered significant to help those patients increase their survival ratio.

Significance of High-Mobility Group A Protein 2 Expression in Pancreatic Ductal Adenocarcinoma and Ampullary Adenocarcinoma

BACKGROUND/AIMS

Pancreatic and ampullary adenocarcinoma (AAC) are quite resistant to chemotherapy with high metastasis potential. Our study aimed to interpret high-mobility group A protein 2 (HMGA2) expression in benign and precursor pancreatic lesions and pancreatic and ampullary carcinoma and to evaluate its relationship with epithelial-mesenchymal transition (EMT) and clinicopathological parameters.

MATERIALS AND METHODS

In this study, normal-appearing pancreas, chronic pancreatitis (CP), low- (L) and high (H)-grade pancreatic intraepithelial neoplasia (PanIN), pancreatic ductal adenocarcinoma (PDAC), and AAC were evaluated with the immunohistochemical marker of HMGA2. Vimentin and E-cadherin immunohistochemical stains were applied in PDAC and AAC.

RESULTS

The HMGA2 expression was not detected in normal-appearing pancreas, CP, and L-PanIN. A statistically significant expression was observed in PDAC and H-PanIN (P < .001). A statistically significant correlation was found between loss of membranous E-cadherin expression and vimentin positivity and HMGA2 expression (P > .05). The HMGA2 expression was observed to increase the risk of diseaserelated death and decrease overall survival (OS) in AAC and the neoplasia group (P = .002 and P = .016, respectively). There was no significant difference in OS and risk of death in PDAC (P > .05) with respect to HMGA2 positivity.

CONCLUSION

High-mobility group A protein 2 is a helpful immunohistochemical marker in differentiating CP from PDAC. It also plays a role in EMT and may serve as a potential new prognostic agent and therapeutic target in tumors of the periampullary region, especially AAC.

Tumor budding as a predictor for prognosis and therapeutic response in gastric cancer: A mini review

In recent years, the role of tumor budding in gastric cancer has received increased attention across a number of disciplines. Several studies have found associations between tumor budding and the prediction of lymph node metastasis in early gastric cancer, prognosis of advanced gastric cancer, predictors of therapeutic response to immune checkpoint inhibitors, such as microsatellite instability (MSI), and therapeutic targets of molecular targeted therapy, such as human epidermal growth factor receptor 2 (HER-2). Therefore, tumor budding is a major element in the formulation of risk stratification and precision medicine strategies for patients with gastric cancer.

Tumour budding is a novel marker in breast cancer: the clinical application and future prospects

Breast cancer (BC) is a group of markedly heterogeneous tumours. There are many subtypes with different biological behaviours and clinicopathological characteristics, leading to significantly different prognosis. Despite significant advances in the treatment of BC, early metastatic is a critical factor for poor prognosis in BC patients. Tumour budding (TB) is considered as the first step process of tumour metastasis and is related to the epithelial-mesenchymal transition (EMT). TB has been observed in a variety of cancers, such as colorectal and gastric cancer, and had been considered as a distinct clinicopathological characteristics for early metastasis. However, TB evaluation standards and clinical application are not uniform in BC, as well as its molecular mechanism is not fully understood. Here, we reviewed the interpretation criteria, mechanism, clinicopathological characteristics and clinical application prospects of TB in BC. Key messagesCurrently, tumour budding is a poor prognosis for various solid tumours, also in breast cancer.Tumour budding is based on epithelial-mesenchymal transition and tumour microenvironment factors and is presumed to be an early step in the metastatic process.Breast cancer tumour budding still needs multi-centre experiments. We summarize the current research on breast cancer tumour budding, analyse the method of discriminating breast cancer tumour budding and explore the prognostic role and mechanism in breast cancer.

Prognostic Ability of Tumor Budding Outperforms Poorly Differentiated Clusters in Gastric Cancer

The prognostic value of histological phenomena tumor budding (TB) and poorly differentiated clusters (PDCs) have been less studied in gastric cancer (GAC) and the data provided so far are controversial. In our study, 290 surgically resected GAC cases were evaluated for TB according to the criteria of International Tumor Budding Consensus Conference (ITBCC) and PDC, and both parameters were scored on a three-grade scale as described for colorectal cancer previously (0: Grade0, 1-4: Grade1, 5-9: Grade2 and ≥10: Grade3) and classified as low (Grade0-2) and high (Grade3) TB/PDC. High TB/PDC was associated with diffuse-type morphology, higher pT status, incomplete surgical resection, poor tumor differentiation and perineural and lymphovascular invasion. Multivariable survival analyses have shown an independent prognostic role of high TB with poorer overall survival in the total cohort (p = 0.014) and in intestinal-type adenocarcinomas (p = 0.005). Multivariable model revealed high TB as an independent predictor for lymph node metastasis in both the total cohort (p = 0.019) and in the intestinal type adenocarcinomas (p = 0.038). In contrast to tumor budding, no significant association was found between PDC and the occurrence of lymph node metastasis and tumor stage and even survival. In conclusion, tumor budding is an independent prognostic factor of survival in gastric cancer, especially in intestinal-type adenocarcinomas.

A New Strategy for Identification of Coal Miners With Abnormal Physical Signs Based on EN-mRMR

Coal miners’ occupational health is a key part of production safety in the coal mine. Accurate identification of abnormal physical signs is the key to preventing occupational diseases and improving miners’ working environment. There are many problems when evaluating the physical health status of miners manually, such as too many sign parameters, low diagnostic efficiency, missed diagnosis, and misdiagnosis. To solve these problems, the machine learning algorithm is used to identify miners with abnormal signs. We proposed a feature screening strategy of integrating elastic net (EN) and Max-Relevance and Min-Redundancy (mRMR) to establish the model to identify abnormal signs and obtain the key physical signs. First, the raw 21 physical signs were expanded to 25 by feature construction technology. Then, the EN was used to delete redundant physical signs. Finally, the mRMR combined with the support vector classification of intelligent optimization algorithm by Gravitational Search Algorithm (GSA-SVC) is applied to further simplify the rest of 12 relatively important physical signs and obtain the optimal model with data of six physical signs. At this time, the accuracy, precision, recall, specificity, G-mean, and MCC of the test set were 97.50%, 97.78%, 97.78%, 97.14%, 0.98, and 0.95. The experimental results show that the proposed strategy improves the model performance with the smallest features and realizes the accurate identification of abnormal coal miners. The conclusion could provide reference evidence for intelligent classification and assessment of occupational health in the early stage.

Cross-testing of major molecular markers indicates distinct pathways of tumorigenesis in gastric adenocarcinomas and synchronous gastrointestinal stromal tumors

Small subtype of the gastrointestinal stromal tumor (micro-GIST, MG) is usually asymptomatic and is frequently found incidentally in association with gastric adenocarcinoma (GAC). The background of this coincidence is still an open question. This study comprehensively characterized nine MGs and GACs present in the same surgical specimen by cross-testing the markers of the major pathogenetic pathways of both tumor types. All of the MGs were immunohistochemically positive for CD117/KIT, CD34, and DOG1. DOG1 was also detected in four GACs. Four MGs carried mutations in c-KIT (exons 9, 11, and 13) and two cases in PDGFRα (exon 18). None of the GACs carried activating mutations in c-KIT or PDGFRα. MMR immunopanel identified one GAC as microsatellite unstable tumor. No EBV-positive tumor was found. According to the TCGA molecular classification, one GAC was categorized in the MSI subgroup, three GACs in the genomically stable subgroup, and the rest into the chromosomal instability subgroup. Although a common carcinogenic effect cannot be ruled out, our data suggest a distinct molecular background in the evolvement of the synchronous MGs and GACs. The presence of a MG in gastric resection specimens may be indicative of the development of synchronous malignant tumors in or outside the stomach.