The comprehensive expression analysis of circular RNAs in gastric cancer and its association with field cancerization

Vidal, Amanda Ferreira; Ribeiro-dos-Santos, Ândrea; Vinasco-Sandoval, Tatiana; Magalhães, Leandro; Pinto, Pablo; Anaissi, Ana Karyssa Mendes; Demachki, Sâmia; Assumpção, Paulo Pimentel de; Santos, Sidney Emanuel Batista dos

doi:10.1038/s41598-017-15061-w

Cited by 33 publications

(35 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The circRNA expression pro les in GC further con rmed that circRNAs were closely associated with GC. However, only few circRNAs were ascertained to regulate carcinogenesis in GC [34][35][36]. In the present study, hsa_circ_000780 was selected as a targeted circRNA to validate the accuracy of the microarray results.…”

Section: Discussionmentioning

confidence: 98%

Circular RNA hsa_circ_000780 has been identified by genomic expression profile analysis as a potential diagnostic marker for gastric cancer

Song

Zhong

et al. 2020

Preprint

View full text Add to dashboard Cite

Background : The present study attempted to detect a specific circular RNA (circRNA) for the early diagnosis of gastric cancer (GC). Methods: We selected four patients with GC for this study. The total RNA of the malignant and adjacent tissues was extracted, and the circRNA was screened. The eight most upregulated and downregulated circRNAs with a statistically significant relation to GC and paired adjacent nontumorous tissues were identified using real-time fluorescent quantitative polymerase chain reaction (PCR). CircRNA expression was identified by quantitative reverse transcriptase PCR in 78 cases of GC and adjacent tissues, and in the gastric fluids of 30 patients with chronic nonatrophic gastritis, 30 patients with chronic atrophic gastritis, 21 with early GC, and 57 with advanced GC. Results: A total of 445 circRNAs, including 69 upregulated and 376 downregulated circRNAs, showed significant aberrant expression in GC tissues. A majority of the differentially expressed circRNAs originated from chr1, chr3, chr4, chr6, and chr11. Hsa_circ_000780 was significantly downregulated in 80.77% of GC tissues, and its level in GC tissues correlated with the tumor size, tumor stage, T stage, venous invasion, carcinoembryonic antigen, and carbohydrate antigen 19-9 expression. A crucial observation was the presence of this circRNA in the gastric fluid of patients with early and advanced GC. Conclusions: The present study uncovered a new hsa_circRNA expression profile in human GC, of which hsa_circ_000780 was significantly downregulated in GC tissues and in gastric fluid. It can be potentially used as a novel biomarker for early GC screening.

show abstract

Section: Discussionmentioning

confidence: 98%

Circular RNA hsa_circ_000780 has been identified by genomic expression profile analysis as a potential diagnostic marker for gastric cancer

Song

Zhong

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Considering that epigenetic alterations could potentially be detected in the early stages of carcinogenesis [ 9 , 40 , 52 ], our analysis, comparing the NC and ADJ tissues, allows for better comprehension of tumor progression and highlights alterations that could be used as prognostic biomarkers. Although a few studies have demonstrated some discrepancies of piRNA expression between blood and cancer tissues, their potential as cancer biomarkers is remarkable [ 43 , 53 ]. In this study, we found eight possible piRNAs and some that are exclusive to GC and ADJ, such as piR-31355* ( Figure 2 B and Figure 3 B).…”

Section: Discussionmentioning

confidence: 99%

Global Analyses of Expressed Piwi-Interacting RNAs in Gastric Cancer

Vinasco-Sandoval

Moreira

Vidal

et al. 2020

IJMS

Self Cite

View full text Add to dashboard Cite

Gastric cancer (GC) represents a notable amount of morbidity and mortality worldwide. Understanding the molecular basis of CG will offer insight into its pathogenesis in an attempt to identify new molecular biomarkers to early diagnose this disease. Therefore, studies involving small non-coding RNAs have been widely explored. Among these, PIWI-interacting RNAs (piRNAs) are an emergent class that can play important roles in carcinogenesis. In this study, small-RNA sequencing was used to identify the global piRNAs expression profile (piRNome) of gastric cancer patients. We found 698 piRNAs in gastric tissues, 14 of which were differentially expressed (DE) between gastric cancer (GC), adjacent to gastric cancer (ADJ), and non-cancer tissues (NC). Moreover, three of these DE piRNAs (piR-48966*, piR-49145, piR-31335*) were differently expressed in both GC and ADJ samples in comparison to NC samples, indicating that the tumor-adjacent tissue was molecularly altered and should not be considered as a normal control. These three piRNAs are potential risk biomarkers for GC, especially piR-48966* and piR-31335*. Furthermore, an in-silico search for mRNAs targeted by the differentially expressed piRNAs revealed that these piRNAs may regulate genes that participate in cancer-related pathways, suggesting that these small non-coding RNAs may be directly and indirectly involved in gastric carcinogenesis.

show abstract

“…The expression profiles of circRNAs in GC further confirmed that circRNAs were closely associated with GC. However, only a small number of circRNAs were ascertained to regulate carcinogenesis in GC [25][26][27]. In this study, hsa_circ_000780 was selected as a targeted circRNA to validate the accuracy of microarray results.…”

Section: Discussionmentioning

confidence: 99%

Genomic circular RNA expression profile analysis indicated hsa_circRNA_000780 as a diagnostic marker for gastric cancer

Song

Zhong

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: This study aimed to find the specific circular RNA (circRNA) for gastric cancer (GC) and lay the foundation for the early diagnosis of GC.Methods: Four patients with GC were selected for this study. The total RNA of their cancer tissues and adjacent tissues was extracted, and the circRNA was screened. The top eight upregulated and downregulated circRNAs with statistical significance between GC and paired adjacent nontumorous tissues were identified using real-time fluorescent quantitative polymerase chain reaction (PCR). The expression level of circRNA was identified by quantitative reverse transcription PCR in 78 cases of GC and its adjacent tissues, and in the gastric juice of 30 patients with chronic nonatrophic gastritis, 30 with chronic atrophic gastritis, 21 with early GC, and 57 with advanced GC.Results: A total of 445 circRNAs, including 69 upregulated and 376 downregulated circRNAs, were found to be significantly aberrantly expressed in GC tissues. Most of the differentially expressed circRNAs originated from chr1, chr3, chr4, chr6, and chr11. Hsa_circRNA_000780 was significantly downregulated in 80.77% of GC tissues. Its level in GC tissues correlated with the tumor size, tumor stage, T stage, venous invasion, carcinoembryonic antigen, and carbohydrate antigen 19-9 expression. More importantly, hsa_circRNA_000780 was found in the gastric juice of early and advanced GC.Conclusions: This study uncovered the new hsa_circRNA expression profile in human GC. Among them, hsa_circRNA_000780 was significantly downregulated in GC tissues and gastric juice. It had the potential to be used as a novel biomarker for the screening of early GC.

show abstract

The comprehensive expression analysis of circular RNAs in gastric cancer and its association with field cancerization

Cited by 33 publications

References 53 publications

Circular RNA hsa_circ_000780 has been identified by genomic expression profile analysis as a potential diagnostic marker for gastric cancer

Circular RNA hsa_circ_000780 has been identified by genomic expression profile analysis as a potential diagnostic marker for gastric cancer

Global Analyses of Expressed Piwi-Interacting RNAs in Gastric Cancer

Genomic circular RNA expression profile analysis indicated hsa_circRNA_000780 as a diagnostic marker for gastric cancer

Contact Info

Product

Resources

About