MiR-598-5p inhibits breast cancer tumor growth and lung metastasis by targeting PPAPDC1A.

This study aimed to explore the effects of PPAPDC1A on the malignant phenotype of breast cancer (BC) in vivo and in vitro. PPAPDC1A expression was examined in BC tissues and cell lines by real-time polymerase chain reaction and Western blot. In this article, cell proliferation was evaluated by Cell Counting Kit-8 assay and colony formation assay, and cell migration and invasion were evaluated by wound healing assay and transwell assays. Furthermore, in vivo cell growth and pulmonary metastasis experiments were also performed using nude mice. The results showed that compared with normal tissues and cells, the PPAPDC1A expression in BC tissues and cell lines were both significantly increased. The PPAPDC1A targeting sequence significantly inhibited the PPAPDC1A expression and cell proliferation, migration, and invasion. The results of xenograft showed that knockdown of PPAPDC1A inhibited tumor growth and lung metastasis of BC. Then, the Dual-Luciferase Reporter Assay confirmed that miR-598-5p targeted the regulation of PPAPDC1A expression. In addition, the miR-598-5p expression in BC tissues was lower than that in the normal tissues. The rescue experiment showed that PPAPDC1A overexpression reversed the inhibitory effect of miR-598-5p mimic on cell proliferation, migration, and invasion. In conclusion, PPAPDC1A was highly expressed in BC tissues and cell lines, and miR-598-5p inhibited the malignant phenotype of BC by targeting PPAPDC1A.

SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer.

Background: The clinical outcome of triple-negative breast cancer (TNBC) is poor. Finding more targets for the treatment of TNBC is an urgent need. SENPs are SUMO-specific proteins that play an important role in SUMO modification. Among several tumor types, SENPs have been identified as relevant biomarkers for progression and prognosis. The role of SENPs in TNBC is not yet clear. Methods: The expression and prognosis of SENPs in TNBC were analyzed by TCGA and GEO data. SENP3 coexpression regulatory networks were determined by weighted gene coexpression network analysis (WGCNA). Least absolute shrinkage and selection operator (LASSO) and Cox univariate analyses were used to develop a risk signature based on genes associated with SENP3. A time-dependent receiver operating characteristic (ROC) analysis was employed to evaluate a risk signature's predictive accuracy and sensitivity. Moreover, a nomogram was constructed to facilitate clinical application. Results: The prognostic and expression effects of SENP family genes were validated using the TCGA and GEO databases. SENP3 was found to be the only gene in the SENP family that was highly expressed and associated with an unfavorable prognosis in TNBC patients. Cell functional experiments showed that knockdown of SENP3 leads to growth, invasion, and migration inhibition of TNBC cells in vitro. By using WGCNA, 273 SENP3-related genes were identified. Finally, 11 SENP3-related genes were obtained from Cox univariate analysis and LASSO regression. Based on this, a prognostic risk prediction model was established. The risk signature of SENP3-related genes was verified as an independent prognostic marker for TNBC patients. Conclusion: Among SENP family genes, we found that SENP3 was overexpressed in TNBC and associated with a worse prognosis. SENP3 knockdown can inhibit tumor proliferation, invasion, and migration. In TNBC patients, a risk signature based on the expression of 11 SENP3-related genes may improve prognosis prediction. The established risk markers may be promising prognostic biomarkers that can guide the individualized treatment of TNBC patients.

TLR4/MyD88 signaling determines the metastatic potential of breast cancer cells.

The influence of Toll­like receptor (TLR)4/myeloid differentiation factor (MyD)88 signaling on the invasion and metastasis of cancer cells has been previously reported. The purpose of the present study was to determine the role of TLR4/MyD88 in breast cancer cell migration and invasion, and to discover novel therapeutic targets for breast cancer treatment. TLR4, MyD88 and high mobility group box 1 (HMGB1) mRNA expression levels were assessed in highly invasive human MDA­MB­231 breast cancer cells, breast cancer cells with a low rate of invasion (MCF­7) and normal human MDA­Kb2 mammary gland cells by reverse transcription­quantitative polymerase chain reaction. The protein expression levels of these markers were detected by western blotting and immunofluorescence. Randomly selected breast cancer and paracarcinoma tissues were used to measure TLR4 and MyD88 protein expression levels by immunohistochemistry. The mRNA and protein expression levels of TLR4 and MyD88 were significantly higher in MDA­MB­231 cells compared with either MCF­7 cells or MDA­Kb2 cells. The mRNA and protein expression levels of HMGB1 were comparable in the two breast cancer cell lines, with no statistical difference (P>0.05). TLR4 and MyD88 protein expression levels were also significantly higher in breast cancer tissues compared with paracarcinoma tissues (P<0.05). TLR4 and MyD88 protein expression levels were positively correlated with axillary lymph node metastasis and histological grade (P<0.05). TLR4/MyD88 expression levels were positively correlated with the metastasis of breast cancer cells. TLR4/MyD88 may be useful as a novel biomarker to evaluate the prognosis and treatment of patients with breast cancer.