An In Vivo CRISPR Screen Identifies That SNRPC Promotes Triple-Negative Breast Cancer Progression.

Dysregulation of RNA-binding proteins (RBP) is one of the characteristics of cancer. Investigating the biological functions and molecular mechanisms of abnormal RBPs can help uncover new cancer biomarkers and treatment strategies. To identify oncogenic RBPs in triple-negative breast cancer (TNBC), we employed an in vivo CRISPR screen and a TNBC progression model, which revealed small nuclear ribonucleoprotein polypeptide C (SNRPC), a subunit of the U1 small nuclear ribonucleoprotein particle (U1 snRNP), as a key modulator of TNBC progression. SNRPC was frequently upregulated, which corresponded to poor prognosis in patients with TNBC. SNRPC ablation significantly impaired the proliferation, migration, and invasion of TNBC cells in vitro and in vivo. In addition, SNRPC was essential for the stability of U1 snRNP and contributed to the RNA Pol II-controlled transcriptional program. Knockdown of SNRPC decreased RNA Pol II enrichment on a subset of oncogenes (TNFAIP2, E2F2, and CDK4) and reduced their expression levels. Furthermore, SNRPC deletion was confirmed to inhibit TNBC progression partially through regulation of the TNFAIP2-Rac1-ß-catenin signaling pathway. Taken together, this data suggests that SNRPC plays an oncogenic role in TNBC, is a marker of poor prognosis, and may be a valuable therapeutic target for patients with intractable TNBC. SIGNIFICANCE: A functional CRISPR screen identifies SNRPC as an RNA-binding protein that promotes the aggressiveness of breast cancer by facilitating Pol II-controlled transcription of oncogenes.

Effects of postmastectomy radiotherapy on survival in different age groups for patients with T3N0M0 breast cancer.

BACKGROUND: Postmastectomy radiotherapy (PMRT), as an important regional treatment, improves the survival rate of patients with T3N0M0 breast cancers. However, the therapeutic effect of PMRT on T3N0M0 patients in different age groups is unclear. METHODS: Using Surveillance, Epidemiology, and End Results database, we identified 4840 T3N0M0 patients between 2000 and 2015. The primary and secondary outcomes were overall survival (OS) and breast cancer-specific survival (BCSS). Survival outcomes were compared using Kaplan-Meier survival test, COX regression analysis, propensity score matching and forest plot, which present the relationship between age and PMRT. RESULTS: Survival analysis demonstrated that for young patients (aged 18-45 and 46-55), there was no significant difference in OS between with and without PMRT. However, for patients older than 65 years, PMRT could significantly improve survival time (P < 0.001). Multivariate Cox analysis of OS showed older patients with PMRT had a lower hazard ratio (HR) than those without PMRT (aged 56-65: HR = 0.67, P = 0.014; aged >65: HR = 0.60, P < 0.001), and little benefit for young patients. The consistent results were also observed in 1:1 matched cohort. Subgroup analysis revealed the survival HRs of with versus without PMRT for patients older than 65 years were significant in most subgroups. CONCLUSION: The effect of PMRT in T3N0M0 patients is related to the age. PMRT is associated with improved survival in older patients with T3N0M0 breast cancer, especially those older than 65 years. While the benefit of PMRT is limited in T3N0M0 patients of young age. The observation suggests the importance of age for T3N0M0 patients when individualized treatment is made.

PDSS1-Mediated Activation of CAMK2A-STAT3 Signaling Promotes Metastasis in Triple-Negative Breast Cancer.

Genomic alterations are crucial for the development and progression of human cancers. Copy-number gains found in genes encoding metabolic enzymes may induce triple-negative breast cancer (TNBC) adaptation. However, little is known about how metabolic enzymes regulate TNBC metastasis. Using our previously constructed multiomic profiling of a TNBC cohort, we identified decaprenyl diphosphate synthase subunit 1 (PDSS1) as an essential gene for TNBC metastasis. PDSS1 expression was significantly upregulated in TNBC tissues compared with adjacent normal tissues and was positively associated with poor survival among patients with TNBC. PDSS1 knockdown inhibited TNBC cell migration, invasion, and distant metastasis. Mechanistically, PDSS1, but not a catalytically inactive mutant, positively regulated the cellular level of coenzyme Q10 (CoQ10) and intracellular calcium levels, thereby inducing CAMK2A phosphorylation, which is essential for STAT3 phosphorylation in the cytoplasm. Phosphorylated STAT3 entered the nucleus, promoting oncogenic STAT3 signaling and TNBC metastasis. STAT3 phosphorylation inhibitors (e.g., Stattic) effectively blocked PDSS1-induced cell migration and invasion in vitro and tumor metastasis in vivo. Taken together, our study highlights the importance of targeting the previously uncharacterized PDSS1/CAMK2A/STAT3 oncogenic signaling axis, expanding the repertoire of precision medicine in TNBC. SIGNIFICANCE: A novel metabolic gene PDSS1 is highly expressed in triple-negative breast cancer tissues and contributes to metastasis, serving as a potential therapeutic target for combating metastatic disease.

Large-scale genomic sequencing reveals adaptive opportunity of targeting mutated-PI3Kα in early and advanced HER2-positive breast cancer.

BACKGROUND: Few studies have discussed the contradictory roles of mutated-PI3Kα in HER2-positive (HER2+) breast cancer. Thus, we characterised the adaptive roles of PI3Kα mutations among HER2+ tumour progression. METHODS: We conducted prospective clinical sequencing of 1923 Chinese breast cancer patients and illustrated the clinical significance of PIK3CA mutations in locally advanced and advanced HER2+ cohort. A high-throughput PIK3CA mutations-barcoding screen was performed to reveal impactful mutation sites in tumour growth and drug responses. RESULTS: PIK3CA mutations acted as a protective factor in treatment-naïve patients; however, advanced/locally advanced patients harbouring mutated-PI3Kα exhibited a higher progressive disease rate (100% vs. 15%, p = .000053) and a lower objective response rate (81.7% vs. 95.4%, p = .0008) in response to trastuzumab-based therapy. Meanwhile, patients exhibiting anti-HER2 resistance had a relatively high variant allele fraction (VAF) of PIK3CA mutations; we defined the VAF > 12.23% as a predictor of poor anti-HER2 neoadjuvant treatment efficacy. Pooled mutations screen revealed that specific PI3Kα mutation alleles mediated own biological effects. PIK3CA functional mutations suppressed the growth of HER2+ cells, but conferred anti-HER2 resistance, which can be reversed by the PI3Kα-specific inhibitor BYL719. CONCLUSIONS: We proposed adaptive treatment strategies that the mutated PIK3CA and amplified ERBB2 should be concomitantly inhibited when exposing to continuous anti-HER2 therapy, while the combination of anti-HER2 and anti-PI3Kα treatment was not essential for anti-HER2 treatment-naïve patients. These findings improve the understanding of genomics-guided treatment in the different progressions of HER2+ breast cancer.

Characterization of the genomic landscape and actionable mutations in Chinese breast cancers by clinical sequencing.

The remarkable advances in next-generation sequencing technology have enabled the wide usage of sequencing as a clinical tool. To promote the advance of precision oncology for breast cancer in China, here we report a large-scale prospective clinical sequencing program using the Fudan-BC panel, and comprehensively analyze the clinical and genomic characteristics of Chinese breast cancer. The mutational landscape of 1,134 breast cancers reveals that the most significant differences between Chinese and Western patients occurred in the hormone receptor positive, human epidermal growth factor receptor 2 negative breast cancer subtype. Mutations in p53 and Hippo signaling pathways are more prevalent, and 2 mutually exclusive and 9 co-occurring patterns exist among 9 oncogenic pathways in our cohort. Further preclinical investigation partially suggests that NF2 loss-of-function mutations can be sensitive to a Hippo-targeted strategy. We establish a public database (Fudan Portal) and a precision medicine knowledge base for data exchange and interpretation. Collectively, our study presents a leading approach to Chinese precision oncology treatment and reveals potentially actionable mutations in breast cancer.