Cancer cells employ alternative splicing (AS) to acquire splicing isoforms favouring their survival. However, the causes of aberrant AS in breast cancer are poorly understood. In this study, the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) data were analysed with univariate feature selection. Of 122 analysed spliceosome components, U2SURP, PUF60, DDX41, HNRNPAB, EIF4A3, and PPIL3 were significantly associated with breast cancer survival. The top 4 four genes, U2SURP, PUF60, DDX41, and HNRNPAB, were chosen for further analyses. Their expression was significantly associated with cancer molecular subtype, tumour stage, tumour grade, overall survival (OS), and cancer-specific survival in the METABRIC data. These results were verifiable using other cohorts. The Cancer Genome Atlas data unveiled the elevated expression of PUF60, DDX41, and HNRNPAB in tumours compared with the normal tissue and confirmed the differential expression of the four genes among cancer molecular subtypes, as well as the associations of U2SURP, PUF60, and DDX41 expression with tumour stage. A meta-analysis data verified the associations of U2SURP, PUF60, and HNRNPAB expression with tumour grade, the associations of PUF60, DDX41, and HNRNPAB expression with OS and distant metastasis-free survival, and the associations of U2SURP and HNRNPAB expression with relapsefree survival. Experimentally, we demonstrated that inhibiting the expression of the four genes separately suppressed cell colony formation and slowed down cell growth considerably in breast cancer cells, but not in immortal breast epithelial cells. In conclusion, we have identified U2SURP, PUF60, DDX41, and HNRNPAB are spliceosome-related genes pivotal for breast cancer survival.

Small object detection has been a research hotspot in the field of computer vision. Especially in complex backgrounds (CBs), SOD faces various challenges, including inconspicuous small object features, object distortion due to CBs interference, and inaccurate object localization due to various noises. So far, many methods have been proposed to improve the SOD content in CBs. In this paper, based on an extensive study of related literature, we first outline the current challenges and some cutting-edge solutions for SOD, and then introduce the complex background interference types present in small object images and the imaging characteristics of different types of images, as well as the characteristics of small objects. Next, the image pre-processing methods are summarized. Based on this, machine learning-based SOD methods and traditional SOD methods are focused on. Finally, the future development direction is given.

BACKGROUND: Alternative splicing is a mechanism to produce different proteins with diverse functions from one gene. Many splicing factors play an important role in cancer progression. PRPF8 is a core protein component of the spliceosome complex, U4/U6-U5 tri-snRNP. OBJECTIVE: However, PRPF8 involved in mRNA alternative splicing are rarely included in the prognosis. METHODS: We found that PRPF8 was expressed in all examined cancer types. Further analyses found that PRPF8 expression was significantly different between the breast cancer and paracancerous tissues. RESULTS: Survival analyses showed that PRPF8-high patients had a poor prognosis, and the expression of PRPF8 is associated with distant metastasis-free survival (DMFS) and post progression survival (PPS). Gene Set Enrichment Analysis (GSEA) has revealed that PRPF8 expression is correlated with TGF-β, JAK-STAT, and cell cycle control pathways. Consistent with these results, upon PRPF8 silencing, the growth of MCF-7 cells was reduced, the ability of cell clone formation was weakened, and p⁢21 expression was increased. CONCLUSIONS: These results have revealed that PRPF8 is a significant factor for splicing in breast cancer progression.

Papillary Thyroid Carcinoma (PTC) is a common endocrine malignancy and mostly is found in women. Different pathological types of PTC have different biological behaviors. The hidden onset results in difficulties to diagnose the early PTC. With the development of the molecular biology, increasing the number of researchers is a focus on tumor markers. The sensitivity and specificity of these tumor markers are helpful for early diagnosis and therapy of PTC. This review is oriented towards the finding of the potent thyroid cancer markers have enhanced sensitivity and specificity, with diagnostic, prognostic and therapeutic efficiency.