Integrative molecular characterization of Chinese prostate cancer specimens

Histone methyltransferase KMT2D promotes prostate cancer progression through paracrine IL-6 signaling

Histone methyltransferase KMT2D plays a critical role as a human oncogene in prostate cancer (PCa). Dysregulated inflammatory responses and cytokine signaling are implicated in cancer progression. Furthermore, interleukin 6 (IL-6) is a pleiotropic cytokine that contributes to PCa progression; however, the association between KMT2D and IL-6 in PCa remains unclear. PCa cell proliferative potential, migratory potential, and apoptosis in vitro were determined using cell counting kit-8 (CCK-8), EdU incorporation, wound healing, and apoptosis assays. Proliferation and migratory potential were impaired and apoptosis was induced in PCa cells cultured with the conditioned medium from KMT2D-depleted cells. Cytokine array analysis showed that IL-6 was the most affected cytokine in the conditioned media. KMT2D knockdown significantly downregulated the expression of IL-6 in PCa cells. What's more, proliferation and migration were also impaired and apoptosis was also induced by silencing IL-6R expression. Immunohistochemistry (IHC) and quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were performed to validate the positive correlation between KMT2D and IL-6 in PCa tissue samples. Chromatin immunoprecipitation (ChIP)-PCR demonstrated that KMT2D and H3K4me1 occupied IL-6 enhancer regions and therefore, directly regulated IL-6 expression. The present study revealed that the KMT2D knockdown suppressed prostate cancer progression through the downregulation of paracrine IL-6 signaling. These results suggest that KMT2D could be regarded as a potential new target for PCa therapy.

Prognostic and clinicopathological value of CDK12 mutation in prostate cancer: a meta-analysis

BACKGROUND

Cyclin-dependent kinase 12 (CDK12) mutation has been shown to be associated with the prognosis and clinicopathological characteristics of various tumors. The aim of this meta-analysis was to investigate the role of mutations in prostate cancer (PCa).

RESEARCH DESIGN AND METHODS

PubMed/Medline, EMBASE, Cochrane Library, and Web of Science database were searched for relevant articles. Meta-analysis was performed by using RevMan5.3 software, and the quality of the included literature was evaluated according to the Newcastle-Ottawa scale (NOS).

RESULTS

A total of 13 studies comprising 5182 participants were enrolled in this meta-analysis. The frequency of CDK12 mutation in PCa was 7.26%. CDK12 mutation was significantly correlated with poor OS/PFS and had a shorter time to progress to CRPC. CDK12 mutant was associated with high-grade Gleason scores, while no relationships were found among CDK12 mutant, age, and the PSA level at diagnosis.

CONCLUSION

This meta-analysis indicates that patients with CDK12 mutation have poor prognosis in PCa. CDK12 may be used as a biomarker for molecular subtype and a potential therapeutic target of PCa.

Pan-Cancer Analysis of Histone Methyltransferase KMT2D with Potential Implications for Prognosis and Immunotherapy in Human Cancer

BACKGROUND

Pan-cancer analysis is an efficient tool to obtain a panoramic view of cancer- related genes and identify their oncogenic processes, facilitating the development of new therapeutic targets. Lysine methyltransferase 2D (KMT2D), acting as a major enhancer coactivator for mammalian cells, is one of the most frequently mutated genes across various cancer types and is considered an oncogene and a rationale for epigenetic therapeutic targets.

OBJECTIVE

This study was designed to explore the potential role of KMT2D in human cancer through a pan-cancer analysis.

METHODS

The expression of KMT2D was assessed in normal tissues and cell lines, and pancancers from The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), and Genotype-Tissue Expression (GTE) datasets were used to explore its correlation with prognosis, immune cell infiltration, tumor mutation burden, microsatellite instability, and mismatch repair.

RESULTS

KMT2D expression was heterogeneous across different cancer types. Increased KMT2D indicated a worse prognosis in adrenocortical carcinoma (ACC), brain lower-grade glioma (LGG), and mesothelioma (MESO), while patients with high KMT2D expression showed better outcomes in renal clear cell carcinoma (KIRC). Moreover, KMT2D expression was positively correlated with immune cell infiltration and negative tumor mutation burden in multiple cancers. In addition, a significant correlation between KMT2D and immune checkpoint-related genes or mismatch repair genes was identified.

CONCLUSIONS

These findings support the hypothesis that KMT2D is not only a potential biomarker for prognosis and immunotherapy response prediction but also an essential immune regulator in human cancer.

Prostate cancer treatment - China's perspective

Prostate cancer (PCa) incidence and mortality have rapidly increased in China. Notably, unique epidemiological characteristics of PCa are found in the Chinese PCa population, including a low but rising incidence and an inferior but improving disease prognosis. Consequently, the current treatment landscape of PCa in China demonstrates distinct features. Establishing a more thorough understanding of the characteristics of Chinese patients may help provide novel insights into potential treatment strategies for PCa patients. Herein, we review the epidemiological status and differences in treatment modalities of Chinese PCa patients. In addition, we discuss the underlying socioeconomic and biological factors that contribute to such diversity and further propose directions for future efforts in optimizing the PCa treatment in China.

Prioritising positively selected variants in whole-genome sequencing data using FineMAV

Background

In population genomics, polymorphisms that are highly differentiated between geographically separated populations are often suggestive of Darwinian positive selection. Genomic scans have highlighted several such regions in African and non-African populations, but only a handful of these have functional data that clearly associates candidate variations driving the selection process. Fine-Mapping of Adaptive Variation (FineMAV) was developed to address this in a high-throughput manner using population based whole-genome sequences generated by the 1000 Genomes Project. It pinpoints positively selected genetic variants in sequencing data by prioritizing high frequency, population-specific and functional derived alleles.

Results

We developed a stand-alone software that implements the FineMAV statistic. To graphically visualise the FineMAV scores, it outputs the statistics as bigWig files, which is a common file format supported by many genome browsers. It is available as a command-line and graphical user interface. The software was tested by replicating the FineMAV scores obtained using 1000 Genomes Project African, European, East and South Asian populations and subsequently applied to whole-genome sequencing datasets from Singapore and China to highlight population specific variants that can be subsequently modelled. The software tool is publicly available at https://github.com/fadilla-wahyudi/finemav.

Conclusions

The software tool described here determines genome-wide FineMAV scores, using low or high-coverage whole-genome sequencing datasets, that can be used to prioritize a list of population specific, highly differentiated candidate variants for in vitro or in vivo functional screens. The tool displays these scores on the human genome browsers for easy visualisation, annotation and comparison between different genomic regions in worldwide human populations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12859-021-04506-9.

Targeting CDK12 for Cancer Therapy: Function, Mechanism, and Drug Discovery

Cyclin-dependent kinase 12 (CDK12) is a member of the CDK family of proteins (CDK) and is critical for cancer development. Years of study into CDK12 have generated much information regarding the intricacy of its function and mechanism as well as inhibitors against it for oncological research. However, there remains a lack of understanding regarding the role of CDK12 in carcinogenesis and cancer prevention. An exhaustive comprehension of CDK12 will highly stimulate the development of new strategies for treating and preventing cancer. Here, we review the literature of CDK12, with a focus on its function, its role in signaling, and how to use it as a target for discovery of novel drugs for cancer prevention and therapy.

Loss of KMT2D induces prostate cancer ROS-mediated DNA damage by suppressing the enhancer activity and DNA binding of antioxidant transcription factor FOXO3

Histone methyltransferase KMT2D has diverse functions and distinct mechanisms in different cancers. Although we have previously found KMT2D serves as an oncogene that promotes tumor growth and metastasis in prostate cancer (PCa), the functions and mechanisms of KMT2D are complicated and most remain undefined. Here, the function of KMT2D regarding DNA damage in PCa and the underlying mechanisms of KMT2D in epigenetic regulation were explored in a series of studies. Knockdown of KMT2D sensitized cells to DNA damage through the disturbance of antioxidative gene expression and increased levels of intracellular reactive oxygen species, which led to cell apoptosis and senescence. The loss of KMT2D reduced the abundance of enhancer activity markers H3K4me1 and H3K27ac, which blocked the DNA binding of FOXO3, a critical mediator of the cellular response to oxidative stress, and suppressed antioxidative gene transcription. Moreover, KMT2D deletion in PCa cells also increased their sensitivity to genotoxic anticancer drugs and a PARP inhibitor, which suggested that lower levels of KMT2D may mediate the response of PCa to particular treatments. These findings further highlighted the important role of KMT2D in PCa progression and suggested that targeting KMT2D might be therapeutically beneficial for advanced PCa treatment.