Mismatch repair deficiency (MMR-d) and microsatellite instability (MSI) are prognostic and predictive biomarkers in oncology. Current testing for MMR/MSI relies on immunohistochemistry (IHC) for MMR proteins and molecular assays for MSI detection. This combined diagnostic strategy, however, lacks tumor specificity and does not account for gene variants. This study provides an in-depth analysis of MMR mutations frequency, spectrum, and distribution in solid tumors. Data from 23,893 patients across 11 tumor types, using 66 publicly available studies, were analyzed. MMR-mutated (MMR-m) status was defined by alterations in MLH1, PMS2, MSH2, and/or MSH6; MSI was assessed by MSIsensor. Cases with indeterminate labelling were excluded. Survival was analyzed using the Kaplan-Meier method. Among 19,353 tumors, 949 MMR variants were identified, comprising 432 pathogenic and 517 variants of unknown significance (VUS), as defined by OncoKB. MSH6 mutations were the most frequent (n = 279, 29.4 %), followed by MSH2 (n = 198, 20.9 %), MLH1 (n = 187, 19.7 %), and PMS2 (n = 161, 16.9 %). MMR-m cases were more frequent in endometrial (EC, 20.5 %), colorectal (CRC, 8.2 %), bladder (BLCA, 8.7 %), and gastroesophageal cancers (GEC, 5.4 %). Pathogenic mutations were more common than non-pathogenic in EC, CRC, and GEC (p < 0.001, p = 0.01, p = 0.32, respectively). MMR-m status was not associated with MSI in 247 (48.9 %) cases, including 67 (13.2 %) with pathogenic mutations. The highest concordance between MMR-m and MSI was observed in CRC (65.7 %), EC (91.2 %), and GEC (69.6 %), while the lowest in pancreatic (0.2 %) and lung cancers (0.1 %). MMR-m GECs showed improved overall survival compared to MMR-wt (p = 0.009), a relationship not observed in other tumor types. This study demonstrates that the MMR spectrum is extremely hetoerogeneous in solid tumors, highliting the need for comprehensive and tumor-specific testing strategies.

Abstract Introduction: PrBC is an uncommon malignancy with aggressive behavior. Its pathogenesis involves distinct immune mechanisms associated with maternal-fetal tolerance and tumor-host immunoediting. PrBC displays specific patterns of TILs with increased CD8+ cells. Gaining a comprehensive understanding of the molecular processes underlying this immune synergy is crucial for enhancing PrBC patients’ clinical management. Here, we sought to identify dysregulated immune-related genes in PrBC and explore their association with HR status and TILs. Methods: A total of n=75 PrBC (age range 26-43 years) and n=67 age-matched early-onset breast cancer (EOBC) in non-pregnant women (controls; age range 28-43 years) were selected from our Institutional registry. For all cases TILs were quantified according to the International TILs Working Group recommendations and profiled by IHC for CD4 and CD8. RNA was extracted from representative FFPE tissue blocks to perform the expression analysis of 395 genes involved in tumor-immune interactions using a targeted NGS panel (Oncomine™ Immune Response Research Assay, Thermofisher). Samples with >1,000,000 mapped reads and >800,000 valid reads were considered adequate. R package DESeq2 software 1.38.3 was used for sequencing depth differences normalization and differential gene expression analysis. Differentially expressed genes (DEGs) were identified based on a significant p-value (p< 0.05). Results: The comparison between PrBC and EOBC revealed a total of n=7 DEGs. All of these genes were upregulated and belonged to distinct superfamilies, including Cancer/Testis (CT) Antigen (MAGEA1/3, XAGE1B), Interferons/Cytokines (IFNA17, IFNB1), Chemokines (CXCL13), and Immunoglobulin (PECAM1/CD31). Notably, the upregulation of Chemokines in respect to EOBC was observed exclusively in HR+ PrBC, whereas triple-negative (TN) PrBC did not exhibit this pattern compared to the control group. Hence, the upregulation of ALOX15B, an enzyme involved in fatty acid peroxidation, was specific to TN PrBC. The immune signatures showed significant variations between PrBC and EOBC also based on TILs density and subpopulations. Indeed, the upregulation of CT genes (MAGEA1, XAGE1B) was exclusively observed in PrBC cases characterized by low TILs levels and prevalence of CD8+ or CD4+ cells. Finally, CD4+ TILs were absent or low in PrBC with upregulated Interferons, Cytokines, Chemokines, and Immunoglobulin genes, but present in cases with increased expression of CT and KLRF1 (NK cells). Conclusion: These findings highlight the heterogeneity and distinct molecular characteristics of PrBC and EOBC. The upregulation of specific immune-related gene families, such as CT and Chemokines, in different PrBC subtypes may suggest their potential role as actionable biomarkers (e.g. MAGEA, a well-known oncogene and potential immunotherapy target). The differences in immune signatures and TILs subpopulations further emphasize the importance of the immune microenvironment in PrBC biology and behavior. Future studies could delve deeper into the clinical implications of these gene expression patterns and explore their relevance in personalized treatment strategies for PrBC. Citation Format: Konstantinos Venetis, Elham Sajjadi, Chiara Frascarelli, Mariia Ivanova, Marianna D'Ercole, Concetta Blundo, Massimo Giroda, Eugenia Di Loreto, Giovanna Scarfone, Stefano Ferrero, Paolo Veronesi, Viviana Galimberti, Fedro Alessandro Peccatori, Nicola Fusco, Elena Guerini-Rocco. Decoding the immune landscape of breast cancer (BC) during pregnancy (PrBC): Impact of hormone receptors (HR) and tumor-infiltrating lymphocytes (TILs) phenotype on gene expression signatures [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-16-04.

Secondary neoplastic lesions in lymph nodes are predominantly metastases from solid tumors, whereas primary lymph node hemangiomas are exceptionally uncommon, with only 24 well-documented cases in the literature. Histologically, they are characterized by endothelial cells that may appear flattened or enlarged, with variable vascular density, and the presence of stromal elements. Notably, the concurrent presence of a primary hemangioma and a metastasis from breast cancer - the latter being the most prevalent secondary lesion in axillary lymph nodes - represents an unprecedented observation. The unique case presented herein underscores the exceptional rarity of primary lymph node hemangiomas and demonstrates for the first time their possible coexistence with breast cancer metastasis within the same axillary lymph node. In sharing and discussing this case study, we pay homage to Professor Juan Rosai, whose work in redefining rare and complex diagnoses continues to enlighten our understanding of lymph node vascular lesions.

PURPOSE Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a natural language processing (NLP) model specifically designed to extract structured data from BC pathology reports written in natural language. METHODS During the initial phase, the algorithm's development cohort comprised 193 pathology reports from 116 patients with BC from 2012 to 2016. A rule-based NLP algorithm was applied to extract 26 variables for analysis and was compared with the manual extraction of data performed by both a data entry specialist and an oncologist. Following the first approach, the data set was expanded to include 513 reports, and a Named Entity Recognition (NER)-NLP model was trained and evaluated using K-fold cross-validation. RESULTS The first approach led to a concordance analysis, which revealed an 82.9% agreement between the algorithm and the oncologist, whereas the concordance between the data entry specialist and the oncologist was 90.8%. The second training approach introduced the definition of an NER-NLP model, in which the accuracy showed remarkable potential (97.8%). Notably, the model demonstrated remarkable performance, especially for parameters such as estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and Ki-67 (F1-score 1.0). CONCLUSION The present study aligns with the rapidly evolving field of artificial intelligence (AI) applications in oncology, seeking to expedite the development of complex cancer databases and registries. The results of the model are currently undergoing postprocessing procedures to organize the data into tabular structures, facilitating their utilization in real-world clinical and research endeavors.

This case report explores the therapeutic impact of SMARCA4 loss in a 63-year-old female patient with a history of smoking, hypertension, hypercholesterolemia, and prior surgeries for breast and pancreatic carcinomas, who presented with a new pulmonary nodule. On February 23, 2024, a CT scan identified a solid pulmonary nodule in the right lower lobe. A PET scan confirmed the nodule’s metabolic activity. By May 8, 2024, follow-up imaging revealed disease progression and central cavitation in the nodule. Following admission on June 14, 2024, the patient underwent a multidisciplinary evaluation, and a lobectomy of the right lower lobe was performed. Pre-operative assessments indicated good general health and no respiratory distress. Post-surgical histology demonstrated a SMARCA4-deficient non-small cell lung cancer with loss of Brahma-related gene 1. Immunohistochemical analyses showed positive expressions of Cytokeratin-7, focal cytoplasmic positivity for Hepar-1 and loss of BRG-1. The surgery successfully removed the neoplasm, and the patient remained alive and disease-free post-operation. The follow-up plan includes tri-annual visits with contrast-enhanced chest and abdomen CT scans to monitor for recurrence. The case underscores the significance of identifying SMARCA4 deficiencies in NSCLC and advocating for tailored therapeutic strategies. Enhanced awareness and understanding of SMARCA4-deficient NSCLC can guide future treatment protocols and improve patient outcomes.

Since the release of the DESTINY-Breast04 (DB-04) trial findings in June 2022, the field of pathology has seen a renaissance of HER2 as a predictive biomarker in breast cancer. The trial focused on patients with metastatic breast cancer who were classified as “HER2-low,” i.e., those with immunohistochemistry (IHC) HER2 1 + or 2 + and negative in situ hybridization (ISH) results. The study revealed that treating these patients with trastuzumab deruxtecan (T-DXd) instead of the oncologist’s chosen chemotherapy led to outstanding improvements in survival. This has challenged the existing binary HER2 pathological classification system, which categorized tumors as either positive (overexpression/amplification) or negative, as per the ASCO/CAP 2018 guideline reaffirmed by ASCO/CAP 2023 guideline update. Given that DB-04 excluded patients with HER2 IHC score 0 status, the results of the ongoing DB-06 trial may shed further light on the potential benefits of T-DXd therapy for these patients. Roughly half of all breast cancers are estimated to belong to the HER2-low category, which does not represent a distinct or specific subtype of cancer. Instead, it encompasses a diverse group of tumors that exhibit clinical, morphological, immunohistochemical, and molecular variations. However, HER2-low offers a distinctive biomarker status that identifies a specific therapeutic regimen (i.e., T-DXd) linked to a favorable prognosis in breast cancer. This unique association emphasizes the importance of accurately identifying these tumors. Differentiating between a HER2 IHC score 0 and score 1 + has not been clinically significant until now. To ensure accurate classification and avoid misdiagnosis, it is necessary to adopt standardized procedures, guidelines, and specialized training for pathologists in interpreting HER2 expression in the lower spectrum. Additionally, the utilization of artificial intelligence holds promise in supporting this endeavor. Here, we address the current state of the art and unresolved issues in assessing HER2-low status, with a particular emphasis on the score 0. We explore the dilemma surrounding the exclusion of HER2-zero patients from potentially beneficial therapy based on traditional HER2 testing. Additionally, we examine the clinical context, considering that DB-04 primarily involved heavily pretreated late-stage metastatic breast cancers. We also delve into emerging evidence suggesting that extrapolating HER2-low status from the original diagnosis may lead to misleading results. Finally, we provide recommendations for conducting high-quality testing and propose a standardized pathology report in compliance with 2023 ASCO/CAP updates and 2023 ESMO consensus statements on HER2-low breast cancer.

Breast cancer management has witnessed significant advancements, especially in the diagnosis and treatment response monitoring through the implementation of imaging techniques and tissue biopsy procedures. Nevertheless, there is potential for further improvement by integrating less invasive approaches that offer timely and precise information. Liquid biopsy, which involves isolating tumor-derived components such as circulating cell-free DNA (cfDNA) and its subset known as circulating tumor DNA (ctDNA), can greatly enhance the prognosis, identification of specific genomic alterations, and selection of targeted therapies for breast cancer patients. While the incorporation of ctDNA-based testing into clinical practice has been primarily focused on metastatic breast cancer (MBC), there is growing interest in its applicability in early-stage breast cancer given the ability to capture tumor heterogeneity. Additionally, the minimally invasive nature of ctDNA testing allows for multiple serial samplings, providing a dynamic assessment of tumor characteristics and monitoring treatment response over time. However, the analysis of ctDNA in breast cancer encounters a significant challenge related to its abundance and the temporal aspect of the disease. The quantity of ctDNA in relation to the disease stage poses an important obstacle that often hinders its accurate analysis. Therefore, it is crucial to ensure timely sample collection, employ sensitive detection methods, and carefully manage the pre-analytical phase to overcome these challenges and facilitate successful ctDNA analysis in breast cancer. This article aims to summarize the methodologies employed in the detection of ctDNA, provide a comprehensive review of the current applications of ctDNA analysis in breast cancer, and elucidate the underlying rationale for its potential extension into broader clinical contexts. Furthermore, models that could facilitate the widespread adoption of ctDNA testing in various healthcare institutions are discussed.

A black-spotted duodenal mucosa was observed during endoscopy of a man with several comorbidities including hypertension and end-stage kidney disease. Histopathological examination revealed pigment-laden macrophages in the lamina propria of the duodenal villi, which was consistent with duodenal pseudomelanosis.

Duodenal pseudomelanosis (also known as pseudomelanosis duodeni) is a rare endoscopic incidental finding defined by a pigmentation limited to the apex of the intestinal villi, which requires histological confirmation. While its exact pathogenesis is still poorly understood, it appears free from clinical consequences. This condition is believed to be associated with oral iron intake, antihypertensive drugs containing a sulfur moiety (i.e., hydralazine, furosemide), and several chronic diseases (i.e., hypertension, end-stage renal disease, diabetes). However, the exact prevalence of these treatments and comorbidities among patients with duodenal pseudomelanosis is not clearly defined. Several case reports and case series about duodenal pseudomelanosis have been published in recent years. In this review, we aimed to clearly define its endoscopic and microscopic presentation; its epidemiology, associated comorbidities, and drugs; the most useful special histochemical techniques used to classify the nature of the pigmentation; and the most relevant differential diagnoses. In addition, by considering our findings, we also formulated a number of hypotheses about its pathogenesis.