Clinical importance of PLA2R1 and RASSF9 in thyroid cancer and their inhibitory roles on the Wnt/β-catenin pathway and thyroid cancer cell malignant behaviors

TREM1 promotes cancer associated malignant phenotype through activated MAPK signaling pathway and predicts poor prognosis in gastric cancer

Background

CD molecules plays a vital role in gastric cancer (GC). We used bioinformatics analysis methods to develop prognosis related CD molecules risk signature; On the other hand, we used the experiments to further explore the function and mechanism of differentially expressed prognostic CD molecules (TREM1) in GC.

Methods

Kaplan-Meier survival and univariate Cox regression analysis were used to evaluate the overall survival of CD molecule genes in gastric cancer. ROC curve and Kaplan-Meier curves were used to analyze the predictive value of CD molecule related genes risk signature by "survival and timeROC" R packages. GSEA, and Cibersortx software were used to analyze the functional enrichment. Finally, we verified the function and mechanism of TREM1 in GC by gene silencing and MAPK inhibitor (SB203580) in vitro and vivo.

Results

A total of 41 prognosis related risk factors in gastric cancer were identified based on CD molecules, including TREM1 and ect. The high-risk patients had higher risk score and shorter survival time. ROC curves revealed that this risk signature accurately predicted survival times of gastric cancer patients at the 1-, 2-, 3-, 4- and 5-year. The frequency of T cells follicular helper and NK cells activated were added in low-risk group. Next, differentially expressed prognostic CD molecules analysis revealed that TREM1 was identified as key genes in GC progression based on TCGA and GES158662 and GSE15459 datasets of GC. In vitro experiments, TREM1 silencing significantly inhibited GC cell proliferation and migration, induced cell apoptosis. GSEA revealed that TREM1 activated cancer related signaling pathway, including MAPK signaling pathway and ect. High expression of TREM1 was related Macrophages M2 and Mast cells resting in GC tissues. Moreover, knockdown of TREM1 inhibited tumor growth through downregulated MAPK signaling pathway in vivo.

Conclusion

These results identified that CD molecule related genes as a novel prognostic and diagnostic biomarker in gastric cancer. TREM1 acts as an oncogene role in GC by activated MAPK signaling pathway.

CENPA knockdown restrains cell progression and tumor growth in breast cancer by reducing PLA2R1 promoter methylation and modulating PLA2R1/HHEX axis

BACKGROUND

Breast cancer is a lethal malignancy affecting females worldwide. It has been reported that upregulated centromere protein A (CENPA) expression might indicate unfortunate prognosis and can function as a prognostic biomarker in breast cancer. This study aimed to investigate the accurate roles and downstream mechanisms of CENPA in breast cancer progression.

METHODS

CENPA protein levels in breast cancer tissues and cell lines were analyzed by Western blot and immunohistochemistry assays. We used gain/loss-of-function experiments to determine the potential effects of CENPA and phospholipase A2 receptor (PLA2R1) on breast cancer cell proliferation, migration, and apoptosis. Co-IP assay was employed to validate the possible interaction between CENPA and DNA methyltransferase 1 (DNMT1), as well as PLA2R1 and hematopoietically expressed homeobox (HHEX). PLA2R1 promoter methylation was determined using methylation-specific PCR assay. The biological capabilities of CENPA/PLA2R1/HHEX axis in breast cancer cells was determined by rescue experiments. In addition, CENPA-silenced MCF-7 cells were injected into mice, followed by measurement of tumor growth.

RESULTS

CENPA level was prominently elevated in breast cancer tissues and cell lines. Interestingly, CENPA knockdown and PLA2R1 overexpression both restrained breast cancer cell proliferation and migration, and enhanced apoptosis. On the contrary, CENPA overexpression displayed the opposite results. Moreover, CENPA reduced PLA2R1 expression through promoting DNMT1-mediated PLA2R1 promoter methylation. PLA2R1 overexpression could effectively abrogate CENPA overexpression-mediated augment of breast cancer cell progression. Furthermore, PLA2R1 interacted with HHEX and promoted HHEX expression. PLA2R1 knockdown increased the rate of breast cancer cell proliferation and migration but restrained apoptosis, which was abrogated by HHEX overexpression. In addition, CENPA silencing suppressed tumor growth in vivo.

CONCLUSION

CENPA knockdown restrained breast cancer cell proliferation and migration and attenuated tumor growth in vivo through reducing PLA2R1 promoter methylation and increasing PLA2R1 and HHEX expression. We may provide a promising prognostic biomarker and novel therapeutic target for breast cancer.

Using Single-Cell RNA Sequencing and MicroRNA Targeting Data to Improve Colorectal Cancer Survival Prediction

Colorectal cancer has proven to be difficult to treat as it is the second leading cause of cancer death for both men and women worldwide. Recent work has shown the importance of microRNA (miRNA) in the progression and metastasis of colorectal cancer. Here, we develop a metric based on miRNA-gene target interactions, previously validated to be associated with colorectal cancer. We use this metric with a regularized Cox model to produce a small set of top-performing genes related to colon cancer. We show that using the miRNA metric and a Cox model led to a meaningful improvement in colon cancer survival prediction and correct patient risk stratification. We show that our approach outperforms existing methods and that the top genes identified by our process are implicated in NOTCH3 signaling and general metabolism pathways, which are essential to colon cancer progression.