Association of long-chain non-coding RNA GAS5 gene polymorphisms with prostate cancer risk and prognosis in Chinese Han population

The rs72613567:TA polymorphism in HSD17B13 is associated with survival benefit after development of hepatocellular carcinoma

BACKGROUND

The influence of genetic factors on survival following a diagnosis of hepatocellular carcinoma (HCC) remains unclear.

AIM

To assess whether genetic polymorphisms influencing the susceptibility to develop HCC are also associated with HCC prognosis.

METHODS

We included United Kingdom Biobank (UKB) participants diagnosed with HCC after study enrolment. The primary outcome was all-cause mortality. Patients were followed from the date of HCC diagnosis to death or the registry completion date. Five HCC susceptibility loci were investigated: rs738409 (PNPLA3), rs58542926 (TM6SF2); rs72613567 (HSD17B13); rs2242652 (TERT) and rs708113 (WNT3A). The associations between these genetic variants and HCC mortality risk were assessed using Cox regression, adjusted for age, sex, ethnicity, aetiology, severity of the underlying liver disease and receipt of curative HCC treatment.

RESULTS

The final sample included 439 patients; 74% had either non-alcoholic fatty liver disease or alcohol-related liver disease. There were 321 deaths during a mean follow-up of 1.9 years per participant. Kaplan-Meier survival estimates at 1, 3 and 5 years were 53.2%, 31.2% and 22.6% respectively. In multivariate analysis, rs72613567:TA (HSD17B13) was the only genetic susceptibility variant significantly associated with all-cause mortality risk (aHR: 0.74; 95% CI: 0.61-0.90; p = 0.003). Other associated factors were Baveno stage 3-4 (aHR: 1.65; 95% CI: 1.05-2.59; p = 0.03) and HCC treatment with curative intent (aHR: 0.25; 95% CI: 0.17-0.37; p < 0.001).

CONCLUSIONS

The rs72613567:TA polymorphism in HSD17B13 is not only associated with a reduction in the risk of developing HCC but with a survival benefit in HCC once established. Therapeutic inhibition of HSD17B13 may augment survival in individuals with HCC.

Importance of long non-coding RNAs in the pathogenesis, diagnosis, and treatment of prostate cancer

Long non-coding RNAs (lncRNAs) are regulatory transcripts with essential roles in the pathogenesis of almost all types of cancers, including prostate cancer. They can act as either oncogenic lncRNAs or tumor suppressor ones in prostate cancer. Small nucleolar RNA host genes are among the mostly assessed oncogenic lncRNAs in this cancer. PCA3 is an example of oncogenic lncRNAs that has been approved as a diagnostic marker in prostate cancer. A number of well-known oncogenic lncRNAs in other cancers such as DANCR, MALAT1, CCAT1, PVT1, TUG1 and NEAT1 have also been shown to act as oncogenes in prostate cancer. On the other hand, LINC00893, LINC01679, MIR22HG, RP1-59D14.5, MAGI2-AS3, NXTAR, FGF14-AS2 and ADAMTS9-AS1 are among lncRNAs that act as tumor suppressors in prostate cancer. LncRNAs can contribute to the pathogenesis of prostate cancer via modulation of androgen receptor (AR) signaling, ubiquitin-proteasome degradation process of AR or other important signaling pathways. The current review summarizes the role of lncRNAs in the evolution of prostate cancer with an especial focus on their importance in design of novel biomarker panels and therapeutic targets.

Variations in genomic regions encoding long non-coding RNA genes associated with increased prostate cancer risk

From a single restriction fragment length polymorphism analysis to next generation sequencing analysis that screens the entire human genome, testing for genomic variations provides a great and robust approach to cancer testing. Non-coding RNAs have been shown to have a major impact on the development and progression of human cancers, including prostate cancer. However, the low stability of these molecules under laboratory conditions has made their clinical utility challenging, as in the case of PCA3 long non-coding RNA. Since testing for variations in genomic regions encoding non-coding RNAs offers a promising approach for cancer testing, identification and interpretation of single nucleotide polymorphisms associated with prostate cancer susceptibility is of great interest. Accordingly, here, for the first time, we review and discuss current available knowledge about genomic variation of long non-coding RNA molecules in prostate cancer.

LncRNA polymorphisms and urologic cancer risk

Urologic cancers involve nearly one-quarter of all cancers and include the prostate, bladder, and kidney cancers. Long non-coding RNAs (LncRNAs) are expressed in a tissue-specific manner and affect cell proliferation, apoptosis, and differentiation. LncRNAs expression is misregulated in urologic cancers, as their aberrant expression may make them capable of being utilized in the diagnosis, prognosis, and treatment of cancers. LncRNAs polymorphisms can affect their structure, expression, and function by interfering with the associated target mRNAs. As a result, lncRNA polymorphisms may be linked to the mechanism driving cancer susceptibility. Therefore, SNPs in lncRNAs may be a beneficial biomarker for early diagnosis and prognosis of cancers, as they affect lncRNA role in tumorigenesis and cancer progression. Moreover, the genetic heredity of lncRNA SNPs affects the personal therapeutic response to drugs. In this study, the lncRNAs polymorphism is summarized in relation to urologic cancers. It is proposed that lncRNA-related polymorphisms, as an individual or combined genotypes, can predict urologic cancer risk, even clinical and prognostic outcomes. However, large-scale population-based prospective studies and comprehensive meta-analyses should be conducted to validate and use these lncRNAs SNPs as the indicators of urologic cancers. Future research should examine the function of these SNPs to explain their associations with urologic cancers.

Long Noncoding RNA GAS5: A New Factor Involved in Bone Diseases

Long noncoding RNAs (lncRNAs), as an important type of RNA encoded in the human transcriptome, have shown to regulate different genomic processes in human cells, altering cell type and function. These factors are associated with carcinogenesis, cancer metastasis, bone diseases, and immune system diseases, among other pathologies. Although many lncRNAs are involved in various diseases, the molecular mechanisms through which lncRNAs contribute to regulation of disease are still unclear. The lncRNA growth arrest-specific 5 (GAS5) is a key player that we initially found to be associated with regulating cell growth, differentiation, and development. Further work has shown that GAS5 is involved in the occurrence and prognosis of bone diseases, such as osteoporosis, osteosarcoma, and postosteoporotic fracture. In this review, we discuss recent progress on the roles of GAS5 in bone diseases to establish novel targets for the treatment of bone diseases.

Role of Long Non-Coding RNA Polymorphisms in Cancer Chemotherapeutic Response

Genetic polymorphisms are defined as the presence of two or more different alleles in the same locus, with a frequency higher than 1% in the population. Since the discovery of long non-coding RNAs (lncRNAs), which refer to a non-coding RNA with a length of more than 200 nucleotides, their biological roles have been increasingly revealed in recent years. They regulate many cellular processes, from pluripotency to cancer. Interestingly, abnormal expression or dysfunction of lncRNAs is closely related to the occurrence of human diseases, including cancer and degenerative neurological diseases. Particularly, their polymorphisms have been found to be associated with altered drug response and/or drug toxicity in cancer treatment. However, molecular mechanisms are not yet fully elucidated, which are expected to be discovered by detailed studies of RNA–protein, RNA–DNA, and RNA–lipid interactions. In conclusion, lncRNAs polymorphisms may become biomarkers for predicting the response to chemotherapy in cancer patients. Here we review and discuss how gene polymorphisms of lncRNAs affect cancer chemotherapeutic response. This knowledge may pave the way to personalized oncology treatments.