Upregulation of CENPM promotes breast carcinogenesis by altering immune infiltration.

BACKGROUND: The involvement of centromere protein M (CENPM) in various types of cancer has been established, however, its impact on breast cancer and immune infiltration remains unknown. METHODS: We examined the expression of CENPM in different cancer types by utilizing the Cancer Genome Atlas (TCGA) and Genotype Tissue Expression Pan-Cancer (GEO) databases. Using data from the TCGA, we examined the correlation between the expression of CENPM, the prognosis, and the clinicopathological features of individuals diagnosed with breast cancer. We conducted an enrichment analysis of CENPM using the clusterProfiler R software tool, utilizing data obtained from breast cancer patients and specimens at our institution. In addition to examining the correlation between CENPM expression and genes associated with immune checkpoints, the TIDE algorithm was employed to explore the potential of CENPM as a biomarker for immunotherapy in breast cancer. The impact of CENPM on the growth of breast cancer cells was evaluated through the utilization of the CCK8 test and the colony formation assay. The effect of CENPM on the migration of breast cancer cells was assessed using scratch and transwell assays. RESULTS: Research findings indicate that elevated levels of CENPM are linked to patient outcomes in breast cancer and various clinicopathological features. Furthermore, elevated levels of CENPM expression correlated with decreased levels of CD8 + T cells and mast cells, increased levels of Tregs and Th2, and reduced levels of CD8 + T cells. Additionally, the coexpression of CENPM with the majority of genes related to immune checkpoints indicates its potential to forecast the effectiveness of treatment in breast cancer. Suppression of CENPM hampers the growth and movement of breast tumor cells. CONCLUSIONS: In summary, our study findings indicate that CENPM may serve as a cancer-causing gene in breast cancer and also as a biomarker for predicting the efficacy of immunotherapy. The oncogene CENPM is associated with breast cancer and is involved in cell proliferation and immune infiltration.

A series of methods incorporating deep learning and computer vision techniques in the study of fruit fly (Diptera: Tephritidae) regurgitation.

In this study, we explored the potential of fruit fly regurgitation as a window to understand complex behaviors, such as predation and defense mechanisms, with implications for species-specific control measures that can enhance fruit quality and yield. We leverage deep learning and computer vision technologies to propose three distinct methodologies that advance the recognition, extraction, and trajectory tracking of fruit fly regurgitation. These methods show promise for broader applications in insect behavioral studies. Our evaluations indicate that the I3D model achieved a Top-1 Accuracy of 96.3% in regurgitation recognition, which is a notable improvement over the C3D and X3D models. The segmentation of the regurgitated substance via a combined U-Net and CBAM framework attains an MIOU of 90.96%, outperforming standard network models. Furthermore, we utilized threshold segmentation and OpenCV for precise quantification of the regurgitation liquid, while the integration of the Yolov5 and DeepSort algorithms provided 99.8% accuracy in fruit fly detection and tracking. The success of these methods suggests their efficacy in fruit fly regurgitation research and their potential as a comprehensive tool for interdisciplinary insect behavior analysis, leading to more efficient and non-destructive insect control strategies in agricultural settings.

Myeloid bodies caused by COQ2 mutation: a case of concurrent COQ2 nephropathy and IgA nephropathy.

Immunoglobulin A (IgA) nephropathy, in the presence of myeloid bodies, has been reported in Fabry disease (FD). In this case, we excluded the diagnosis of FD by demonstrating the absence of mutation in the α-galactosidase A（GLA）gene. Our patient also denied any history of use of cationic amphiphilic drugs. Interestingly, we identified a novel missense mutation for Coenzyme Q2（COQ2） , which is known to cause COQ2 mutation-associated nephropathy. We also found heteromorphic mitochondria and good treatment response in our patient following coenzyme Q10 supplementation. In light of our findings, our patient was diagnosed with COQ2 nephropathy and IgA nephropathy. To our knowledge, this is the first case report of COQ2 nephropathy with pathologic manifestations of myeloid bodies in podocytes.

LncRNA SPINT1-AS1 promotes breast cancer proliferation and metastasis by sponging let-7 a/b/i-5p.

BACKGROUND: A growing number of studies have shown that long non-coding RNAs (lncRNAs) play an important role in the occurrence and development of tumors. In this study, we explored the function and molecular mechanism of lncRNA SPINT1-AS1 in breast cancer progression. METHODS: A total of 30 patients and 25 healthy controls were enrolled to detect the expression of SPINT1-AS1 in the serum by RT-qPCR. CCK-8 assay, clone formation assay, EdU assay, Transwell assay, Flow cytometry for apoptosis assay and wound healing assays were used to explore the effects of SPINT1-AS1 on the proliferation and migration of breast cancer cells. Bioinformatics analysis were used to enrich the downstream target genes and related pathways of miRNAs interacting with SPINT1-AS1, construct a competitive endogenous RNA (ceRNA) network diagram. RESULTS: SPINT1-AS1 is up-regulated in the serum of breast cancer patients and breast cancer cell lines. The proliferation and migration ability of breast cancer cells were decreased significantly after SPINT1-AS1 knockdown, and it may inhibit its expression by sponging miR-let-7a/b/i-5p, thereby promoting breast cancer progression. CONCLUSIONS: SPINT1-AS1 can promote the proliferation and migration of breast cancer cells by regulating miR-let-7a/b/i-5p, suggesting that it may be an important regulator of breast cancer progression.