Syntaxin-1 and Insulinoma-Associated Protein 1 Expression in Breast Neoplasms with Neuroendocrine Features

The clinicopathological and molecular features of primary high-grade neuroendocrine tumour in the breast

AIMS

Nottingham grade for breast cancers, rather than gastro-entero-pancreatic (GEP) grade for neuroendocrine tumours (NETs), is currently applied to primary breast NETs, which need further clarification. High-grade NETs in breast also remain poorly recognised.

METHODS AND RESULTS

Among 595 breast carcinomas with diffuse synaptophysin (Syn) or chromogranin A (CgA) immunostaining (≥ 90%), 197 eligible cases were selected, including 69 NETs, 123 invasive breast carcinomas of no special type (IBC-NSTs) and five neuroendocrine carcinomas (NECs). The prognostic significance of these two grading systems in breast NETs was assessed. Furthermore, the clinicopathological features were compared in Nottingham G3 cases among three entities. Targeted sequencing and immunostaining (INSM1/p53/Rb/p16) were also performed in all Nottingham G3 NETs, NECs and 10 Nottingham G3 IBC-NSTs. All Nottingham G3 NETs (9 of 69, 13.0%) fell into GEP G3 cases (20 of 69, 29.0%). Nottingham grade provided better prognostic discrimination between G1/G2 and G3 NETs than GEP grade. Among Nottingham G3 cases, there was a trend towards reduced progression-free survival (PFS) in NETs compared with IBC-NSTs (P = 0.057), and the former were more often immunoreactive for INSM1 (44.4 versus 0%, P = 0.033). Nottingham G3 NETs were all of luminal-like phenotype (P < 0.001) and exhibited less aberrant p53 patterns (11.1 versus 80.0%, P = 0.023) as well as more favourable PFS (P = 0.012) and disease-specific survival (P = 0.002) than NECs. Rb loss (4 of 5, 80%), p16 overexpression (5 of 5, 100%) and RB1 mutation (2 of 5, 40%) were observed exclusively in NECs. Based on expression data, epithelial-mesenchymal transition and KRAS signalling pathways were significantly up-regulated in Nottingham G3 NETs (P < 0.05).

CONCLUSIONS

Nottingham grade, rather than GEP grade, holds important prognostic significance in primary breast NETs. Nottingham G3 NETs represent a small proportion of breast NETs, and may demonstrate distinct clinicopathological and molecular features from other high-grade breast carcinomas with diffuse neuroendocrine markers expression.

Primary neuroendocrine tumor of the breast: A case report

Primary neuroendocrine neoplasm of the breast (PNENB) is a rare subtype of breast cancer, accounting for <1% of all breast tumors. The morphological features of PNENB are similar to those of neuroendocrine tumors originating in the lungs or gastrointestinal system, with tumor cells exhibiting the strong expression of neuroendocrine markers, including chromogranin A and synaptophysin. Since this type of cancer was first reported, the definition, classification and diagnostic criteria of PNENB have evolved and changed. However, accurate diagnostic criteria and standard treatment guidelines are lacking. The present report describes a specific case of PNENB, which was consistent with the morphological and molecular features of other cases in most previous studies. In addition, the current body of literature on PNENB, including its development, diagnosis, molecular features, treatment and prognosis is reviewed.

SNARE proteins: Core engines of membrane fusion in cancer

Vesicles are loaded with a variety of cargoes, including membrane proteins, secreted proteins, signaling molecules, and various enzymes, etc. Not surprisingly, vesicle transport is essential for proper cellular life activities including growth, division, movement and cellular communication. Soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) mediate membrane fusion of vesicles with their target compartments that is fundamental for cargo delivery. Recent studies have shown that multiple SNARE family members are aberrantly expressed in human cancers and actively contribute to malignant proliferation, invasion, metastasis, immune evasion and treatment resistance. Here, the localization and function of SNARE proteins in eukaryotic cells are firstly mapped. Then we summarize the expression and regulation of SNAREs in cancer, and describe their contribution to cancer progression and mechanisms, and finally we propose engineering botulinum toxin as a strategy to target SNAREs for cancer treatment.

Histopathological Features Predicting Neuroendocrine Morphology in Primary Breast Tumors: A Retrospective Analysis

Objective

Neuroendocrine neoplasms of primary breast tumors are rare compared to locations, such as the respiratory system and gastrointestinal system, where they are frequently observed. The diagnostic criteria for primary neuroendocrine tumors of the breast have been changed since first description. Morphological and immunohistochemical features helpful in their diagnosis, which vary due to the heterogeneous nature of these tumors, are highlighted in this retrospective study. The purpose was to determine specific histopathological features that can identify neuroendocrine morphology in primary breast tumors.

Materials and Methods

Cases diagnosed with invasive breast carcinoma from resection materials in a single center between 2011 and 2022 and in which neuroendocrine markers were investigated were included. Demographic information, initial histopathological diagnosis, presence of tumor in another organ, tumor location, size and surgical details of the cases were obtained from the hospital database and pathology reports. The slides were re-evaluated in terms of tumor growth pattern, cribriformity, tubule formation, nuclear features, prominence of nucleoli, palisading and basal location of nuclei, presence of grooves, cytoplasmic features and evidence of cytoplasmic border.

Results

The presence of basally located nuclei, absence of tubule formation, inconspicuous nucleoli, fine nuclear chromatin, granular cytoplasm and inconspicuous cytoplasmic borders were frequent findings in tumors with neuroendocrine features (p<0.05). These features may help differentiate primary breast tumors with neuroendocrine features from other breast carcinomas.

Conclusion

The histopathological features that are different from the specific features seen in classical neuroendocrine tumors, the absence of specific clinical and radiological findings, the inability to study neuroendocrine markers in every laboratory and the need to prove that the breast tumor is not a metastasis all create diagnostic difficulties for primary breast neuroendocrine neoplasms. We believe that the results of this study may help diagnose and identify more specific histomorphological features that help determine neuroendocrine morphology in primary breast tumors.

Routine molecular applications and recent advances in breast cancer diagnostics

Cancer stands as one of the most common and lethal diseases, imposing a substantial burden on global mortality rates. Breast cancer is distinct from other forms of cancer in which it is the primary cause of death for women. Early detection of breast cancer can significantly lower the risk of mortality, improving the prognosis for those who are affected. The death rate of breast cancer has been steadily rising, according to epidemiological data, especially since the COVID-19 pandemic. This emphasizes the necessity of sensitive and precise technologies that can be utilized in early breast cancer diagnosis. In this process, biomarkers play a pivotal role by facilitating the early detection and diagnosis of breast cancer. Currently, a wide variety of cancer biomarkers have been identified, improving the accuracy of cancer diagnosis. These biomarkers can be applied in liquid biopsies as well as on solid tissues. In the context of breast cancer, biomarkers are particularly valuable for determining who is predisposed to the disease, predicting prognosis at the time of diagnosis, and selecting the best course of therapy. This review comprehensively explores the recently developed gene-based biomarkers from biofluids that are used in the context of breast cancer, as well as the conventional and cutting-edge techniques that have been employed for breast cancer diagnosis.

INSM1 promotes breast carcinogenesis by regulating C-MYC

Insulinoma-associated protein-1 (INSM1), which is highly expressed in various neuroendocrine tumors, functions as a zinc finger transcription factor capable of regulating the biological behavior of tumor cells. However, its specific role in breast cancer remains unclear. This study aims to investigate the role and mechanism of INSM1 in breast cancer. A total of 158 cohorts were recruited to examine the expression of INSM1 in breast cancer tissues and their corresponding adjacent normal tissues using immunohistochemistry. Follow-up data, along with clinical and pathological information, were collected to analyze the correlation between INSM1 expression and survival outcomes in breast cancer patients. Additionally, we investigated the impact of INSM1 on breast cancer cell proliferation, migration, and aggregation. To further explore the regulatory effect of INSM1 knockdown on breast cancer tumor growth, we utilized a xenograft mouse model. The results revealed that INSM1 was significantly overexpressed in breast cancer patients and correlated with prognosis. Knockdown of INSM1 notably impaired the malignant biological effects of breast cancer cells and inhibited the growth of xenograft tumors in nude mice. Importantly, our data also suggests an interaction between INSM1 and S-phase kinase-associated protein 2 (SKP2), which in turn regulates C-MYC, thereby affecting the p-ERK pathway. Our study provides the first evidence demonstrating the contribution of INSM1 to tumor formation and growth in breast cancer. Furthermore, we found that INSM1 positively regulates C-MYC and the p-ERK pathway by interacting with SKP2 during breast cancer development. Collectively, these findings highlight INSM1 as a promising target for breast cancer treatment.

Cluster of resistance-inducing genes in MCF-7 cells by estrogen, insulin, methotrexate and tamoxifen extracted via NMF

Breast cancer has become a leading cause of death for women as the economy has grown and the number of women in the labor force has increased. Several biomarkers with diagnostic, prognostic, and therapeutic implications for breast cancer have been identified in studies, leading to therapeutic advances. Resistance, on the other hand, is one of clinical practice's limitations. In this paper, we use Nonnegative Matrix Factorization to automatically extract two gene signatures from gene expression profiles of wild-type and resistance MCF-7 cells, which were then investigated further using pathways analysis and proved useful in relating resistance pathways to breast cancer regardless of the stimulus that caused it. A few extracted genes (including MAOA, IL4I1, RRM2, DUT, NME4, and SUMO3) represent new elements in the functional network for resistance in MCF-7 ER+ breast cancer. As a result of this research, a better understanding of how resistance occurs or the pathways that contribute to it may allow more effective therapies to be developed.