PRNCR1: a long non-coding RNA with a pivotal oncogenic role in cancer

Bardhan, Abhishek; Banerjee, Anwesha; Basu, Keya; Pal, Dilip Kumar; Ghosh, Amlan

doi:10.1007/s00439-021-02396-8

Cited by 17 publications

(11 citation statements)

References 117 publications

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“…Our data analysis was also able to report about numerous oncogenes as well as tumor suppressor genes that are seen present in the 8p and 8q arm of the chromosome in oral cancers. Significant non-coding RNAs such as PCAT1 which were found to be highly altered in chromosome 8 led us to believe that a high number of genes were altered in the chromosome 8 region (21) . It has been earlier reported in numerous articles about gains and losses in chromosome 8 (22,23) among various other cancers like breast, colorectal, and prostate cancer.…”

Section: Resultsmentioning

confidence: 99%

A Transcriptomic Analysis to Identify Prevalent lncRNAs in Gingivobuccal Oral Cancer

Haldar¹,

Singh²

2023

IJST

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Objective: Gingivobuccal cancer is a subtype of oral cancer, prevalent in developing countries where the use of tobacco and Areca (betel) nut is rampant. This study aims to search through the publically available NCBI data to find comparisons between the normal and cancer-affected transcripts of RNA, which are molecules that copied the genetic information from DNA and that will be "read" as instructions to produce other molecules in the body. Using bioinformatic tools, we analyzed the variations in the transcripts and examined how they were correlated with other molecular processes in the body. We specifically investigated the role of "long noncoding RNAs (lncRNAs)" because it is speculated that they play an active role in the causality of cancer. Our analysis found a correlation of CTA-384D8.35 lncRNA with gingivobuccal cancer after analyzing the Hazard Ratio using the Cox Proportional-Hazard Model and is expected to pave the way for future studies. Methods: In this study, transcriptomic analysis was performed on a publicly available gingivobuccal cancer dataset obtained from NCBI. We developed a novel method for identification of annotated lncRNAs, which helped us select and correlate the lncRNA transcripts with the gingivobuccal cancer disease. Furthermore, the results were validated using the GEPIA2 tool for integrated analysis of co-lncRNA and GEPIA databases. Findings: From 24 RNA-Seq samples (12 normal samples and 12 tumor samples), a total of 16,065 potential lncRNA transcripts were recognized. From these 16,065 lncRNA transcripts, 1201 lncRNA transcripts were further filtered out based on a threshold adjusted p value of <0.01. We were able to for the first time identify these 1201 lncRNA transcripts, which were not annotated for gingivobuccal squamous cell carcinoma previously. Integrated analysis of co-lncRNA and GEPIA databases revealed that a total of 11 lncRNAs were upregulated, whereas 29 lncRNAs were downregulated. Furthermore, CTA-384D8.35 showed a significant correlation with disease-free survival time in HNSC. CTA-384D8.35 which is downregulated in gingivobuccal cancer has been correlated with tumor stage, metastasis, cancer status, clinical stage, and grade. Novelty: In this report we are for the first time correlating the CTA-384D8.35 lncRNA with the gingivobuccal cancer disease with the help of statistical and survival analysis. Furthermore, https://www.indjst.org/

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Section: Resultsmentioning

confidence: 99%

A Transcriptomic Analysis to Identify Prevalent lncRNAs in Gingivobuccal Oral Cancer

Haldar¹,

Singh²

2023

IJST

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“…In addition, we identified two novel independent SNPs PCa cells significantly enhances ligand-dependent and ligandindependent androgen receptor (AR) activation. [41][42][43] Knockdown of PRNCR1 inhibits PCa cell proliferation and reduces AR-mediated gene expression. 42 We found a SNP (rs1456315) located inside the PRNCR1 gene that exhibits one of the strongest associations (OR = 1.79, p = 4.33 × 10 −42 ).…”

Section: Discussionmentioning

confidence: 99%

“…PCAT1 also activates AKT and NF‐kappaB signaling in PCa development 40 . PRNCR1 (Prostate cancer‐associated Non‐Coding RNA 1) is another well‐established oncogenic lncRNA involved in PCa development 41 . PRNCR1 is overexpressed in PCa tissues and cells, and its overexpression in PCa cells significantly enhances ligand‐dependent and ligand‐independent androgen receptor (AR) activation 41–43 .…”

Section: Discussionmentioning

confidence: 99%

Genetic susceptibility to prostate cancer in Taiwan: A genome‐wide association study

Bau,

Tsai,

Chang

et al. 2024

Molecular Carcinogenesis

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We conducted the first genome‐wide association study (GWAS) of prostate cancer (PCa) in Taiwan with 1844 cases and 80,709 controls. Thirteen independent single‐nucleotide polymorphisms (SNPs) reached genome‐wide significance (p < 5 × 10−8). Among these, three were distinct from previously identified loci: rs76072851 in CORO2B gene (15q23), odds ratio (OR) = 1.54, 95% confidence interval (CI), 1.36–1.76, p = 5.30 × 10−11; rs7837051, near two long noncoding RNA (lncRNA) genes, PRNCR1 and PCAT2 (8q24.21), OR = 1.41 (95% CI, 1.31–1.51), p = 8.77 × 10−21; and rs56339048, near an lncRNA gene, CASC8 (8q24.21), OR = 1.25 (95% CI, 1.16–1.35), p = 2.14 × 10−8. We refined the lead SNPs for two previously identified SNPs in Taiwanese: rs13255059 (near CASC8), p = 9.02 × 10−43, and rs1456315 (inside PRNCR1), p = 4.33 × 10−42. We confirmed 35 out of 49 GWAS‐identified East Asian PCa susceptibility SNPs. In addition, we identified two SNPs more specific to Taiwanese than East Asians: rs34295433 in LAMC1 (1q25.3) and rs6853490 in PDLIM5 (4q22.3). A weighted genetic risk score (GRS) was developed using the 40 validated SNPs and the area under the receiver‐operating characteristic curve for the GRS to predict PCa was 0.67 (95% CI, 0.63–0.71). These identified SNPs provide valuable insights into the molecular mechanisms of prostate carcinogenesis in Taiwan and underscore the significant role of genetic susceptibility in regional differences in PCa incidence.

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“…Knockdown of ARLNC1 caused the suppression of AR expression and inhibition of AR-dependent PCa growth in vitro and in vivo [ 43 ]. Moreover, prostate cancer-associated non-coding RNA1 (PRNCR1, a lncRNA) and prostate cancer gene expression marker 1 (PCGEM1, a lncRNA) were highly expressed in CRPC cells and reported to be involved in AR signaling pathway, while knockdown of either PRNCR1 or PCGEM1 would suppress in vivo tumor growth of CRPC [ 44 , 45 , 46 ].…”

Section: Non-coding Rnas and Crpcmentioning

confidence: 99%

The Crosstalk of Long Non-Coding RNA and MicroRNA in Castration-Resistant and Neuroendocrine Prostate Cancer: Their Interaction and Clinical Importance

Lin

et al. 2021

IJMS

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Prostate cancer is featured by its heterogeneous nature, which indicates a different prognosis. Castration-resistant prostate cancer (CRPC) is a hallmark of the treatment-refractory stage, and the median survival of patients is only within two years. Neuroendocrine prostate cancer (NEPC) is an aggressive variant that arises from de novo presentation of small cell carcinoma or treatment-related transformation with a median survival of 1–2 years from the time of diagnosis. The epigenetic regulators, such as long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), have been proven involved in multiple pathologic mechanisms of CRPC and NEPC. LncRNAs can act as competing endogenous RNAs to sponge miRNAs that would inhibit the expression of their targets. After that, miRNAs interact with the 3’ untranslated region (UTR) of target mRNAs to repress the step of translation. These interactions may modulate gene expression and influence cancer development and progression. Otherwise, epigenetic regulators and genetic mutation also promote neuroendocrine differentiation and cancer stem-like cell formation. This step may induce neuroendocrine prostate cancer development. This review aims to provide an integrated, synthesized overview under current evidence to elucidate the crosstalk of lncRNAs with miRNAs and their influence on castration resistance or neuroendocrine differentiation of prostate cancer. Notably, we also discuss the mechanisms of lncRNA–miRNA interaction in androgen receptor-independent prostate cancer, such as growth factors, oncogenic signaling pathways, cell cycle dysregulation, and cytokines or other transmembrane proteins. Conclusively, we underscore the potential of these communications as potential therapeutic targets in the future.

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PRNCR1: a long non-coding RNA with a pivotal oncogenic role in cancer

Cited by 17 publications

References 117 publications

A Transcriptomic Analysis to Identify Prevalent lncRNAs in Gingivobuccal Oral Cancer

A Transcriptomic Analysis to Identify Prevalent lncRNAs in Gingivobuccal Oral Cancer

Genetic susceptibility to prostate cancer in Taiwan: A genome‐wide association study

The Crosstalk of Long Non-Coding RNA and MicroRNA in Castration-Resistant and Neuroendocrine Prostate Cancer: Their Interaction and Clinical Importance

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