Skip to main content
Genes logoLink to Genes
. 2021 Apr 19;12(4):598. doi: 10.3390/genes12040598

piRNA-823 Is a Unique Potential Diagnostic Non-Invasive Biomarker in Colorectal Cancer Patients

Norhan A Sabbah 1,*, Wael M Abdalla 2, Walid A Mawla 2, Nagla AbdAlMonem 3, Amal F Gharib 4, Ahmed Abdul-Saboor 5, Abdallah S Abdelazem 6, Nermin Raafat 1
Editor: Deborah J Good
PMCID: PMC8074037  PMID: 33921704

Abstract

Early detection of colorectal cancer (CRC) is the most important factor in deciding its prognosis, so the need to develop an accurate screening test is a must. P-element induced wimpy testis (PIWI) RNA-823 (piR-823) is one of the first piRNAs recognized to be linked to malignancy. We aimed to investigate the expression levels of piR-823 in both serum and tissues of colorectal cancer patients and the ability to use its serum level as a non-invasive diagnostic biomarker to detect colorectal cancer. We determined piR-823 expression levels in 84 serum samples of CRC patients, 75 serum samples of healthy controls, and biological specimens obtained from the 84 patients with colorectal cancer from both the tumor tissues and the normal neighboring tissues using quantitative real-time reverse transcriptase-PCR. We showed that piR-823 had significantly higher serum and tissue expression levels in CRC patients compared to the controls. We observed a significant positive correlation between piR-823 serum levels and the staging of CRC, with significantly higher levels exhibiting advanced stages of CRC (III and IV). This translates into poorer differentiation and lymph node metastasis. The receiver operating characteristic curve (ROC curve) test showed 83.3% sensitivity and 89.3% specificity at a cut-off value of >5.98-fold change, with an area under the curve of 0.933 (p < 0.0001) concerning the ability of piR-823 in diagnosing patients with colorectal carcinoma. piR-823 expression is upregulated in colorectal cancer patients’ serum and tissues, and it can be used as a diagnostic noninvasive biomarker for CRC.

Keywords: colorectal, cancer, piR-823, biomarkers, CRC, piRNAs

1. Introduction

One of the most common causes of death in patients with cancer is colorectal cancer (CRC) [1]. It is the third most diagnosed cancer in men and the second in women [1]. The prevalence of CRC is different all over the world, with a higher incidence in more developed countries (40%) [1]. New Zealand and Australia had reported the highest incidence rates (44.8% in the male and 32.2% in the female) but Western Africa was reported the lowest one (4.5% in the male and 3.8% in the female) [1]. The incidence rate of CRC in Egypt is 5.8% in males and 6.2% in females [2]. Egypt is considered the highest country worldwide regarding the early beginning of CRC, as 35% of CRC patients in Egypt were under forty years. CRC Egyptian patients below the age of 30 years were reported to have three times increased risk to die within five years when compared to CRC patients with the age over fifty years [3]. Patients’ prognosis mostly depends on the TNM staging at the start of the diagnosis besides the feasibility of any possible surgical solution, which is likely to occur only if the disease is localized [4].

To reduce the mortality rate and make the treatment more successful, we must detect CRC as early as possible [1]. Despite all the progress achieved in the screening of CRC, its prognosis is still bad. The standard screening method to detect CRC early is colonoscopy [5]. Colonoscopy is an invasive procedure, so some people avoid doing it because they fear its complications [6]. The other CRC screening investigations such as computed tomography colonography (CT colonography) and fecal occult blood test (FOBT) either have low specificity, sensitivity, or an elevated cost [7]. Hence, the development of an accurate, simple noninvasive blood-based test is of great need that could improve the screening rates.

New molecular markers such as DNA [8], proteins [9], mRNA [10], or microRNAs [11,12] have shown a great potential to be an accurate screening test.

Small non-coding RNAs (ncRNAs) function as key regulators of gene expression and can be simply measured in blood samples [13,14]. One of the small ncRNAs molecules is P-element induced wimpy testis (PIWI)-interacting RNAs (piRNAs), with 24–32 nucleotides long, and are associated with PIWI proteins, which are from Argonaut proteins subfamily [15]. Within the eukaryotic genome over 20,000 piRNAs have been identified [16,17]. piRNAs are expressed in the germline [18] and somatic tissues [19]. PIWI/piRNA complex formed by binding of piRNAs to PIWI proteins, where piRNAs apply for a silencing role in the PIWI-dependent transposon, genome rearrangement, gene and protein regulation, germ stem-cell maintenance, and epigenetic regulation [20]. piRNAs and PIWI proteins were proved to have an important role in the control, prognosis, and treatment of many types of tumors. Making them eligible to be used as therapeutic and diagnostic tools for various types of cancer [21].

Many studies showed that a variety of cancers have an aberrant expression of piRNA or PIWI protein including gastric cancer [22], multiple myeloma [23], liver cancer [24], lung cancer [25], breast cancer [26], and bladder cancer [27] correlating it with tumorigenesis.

PIWI RNA-823 (piR-823) was one of the first piRNAs recognized to be linked to malignancy [22]. piR-823 was identified in white blood cells [28], cancer cell lines, and blood plasma [29,30]. It was reported to be involved in regulating tumor cell growth, and its level fluctuates in many cancers, including gastric cancer tissue and myeloma cells [22,23].

Because of the above evidence, we investigated the expression levels of piR-823 in both serum and tissues of CRC patients to assess its ability to use its serum level as a non-invasive diagnostic marker to detect colorectal cancer.

2. Materials and Methods

2.1. Study Design

This study was approved by the International Review Board (IRB) and the ethical committee, Faculty of Medicine, Zagazig University, the reference number is (Zu-IRB#3245/10-5-2019) and we received a signed written consent from all patients included in the study. Eighty-four CRC patients were recruited from the Department of General Surgery, between June 2019 and September 2020.

Clinicopathological characteristics are mentioned in Table 1. Patients included were undergoing colonoscopy and were proved to have adequate hepatic, renal, cardiac, and respiratory functions. Colorectal adenomas (CRAs) and CRCs were confirmed histopathologically. Tumor typing and grading were based on the published criteria of the WHO 2010 [31]. We based the staging of CRC cases on the TNM staging systems [32]. Patients with inflammatory bowel diseases, history of other tumors in the previous or consistent periods, preoperative chemotherapy or radiotherapy, or refusal of the patients or their guardians to take part were excluded from the study.

Table 1.

Clinicopathological features of the studied groups.

Parameter Cases Control
No. 84(%) No. 75(%)
Age ± (Mean SD) 59.12 ± 2.61 61.22 ± 3.31
Gender number (%)
- Male 47 (56) 40 (53.3)
- Female 37 (44) 35 (46.7)
Tumor location number (%)
- Distal 52 (62)
- Proximal 32 (38)
TNM staging number (%)
- Stage I 19 (22.62)
- Stage II 25(29.76)
- Stage III 21 (25)
- Stage IV 19 (22.62)
Tumor grading number (%)
- Grade 1 24 (28.57)
- Grade 2 43 (51.19)
- Grade 3 17 (20.24)
Tumor differentiation number (%)
- Well 22 (26.19)
- Moderate 38 (45.24)
- Poor 24 (28.57)
Lymph node metastasis number (%)
- Negative 21 (25)
- Positive 63 (75)
CEA number (%)
- Negative 25 (29.76)
- Positive 59 (70.24)
CA 19-9, number (%)
- Negative 44 (52.38)
- Positive 40 (47.62)

Seventy-five healthy subjects were included in our study, who were both sex and age matched with CRC cases and were considered the control group in case of the blood samples. They were selected randomly from different departments with no family history and no cancer discovered recently or in the past and after undergoing colonoscopy for any other causes or after taking their consents.

2.2. Sampling

Five ml of whole blood were collected in sterilized tubes from patients and controls, then were left to complete clot and centrifuged at 3000× g to separate the serum, then the samples were stored at −20 °C.

We carried this case-control study in the Department of Medical Biochemistry and the ZSMRC (Zagazig scientific medical research center, Zagazig, Egypt).

2.3. Serum Carcinoembryonic Antigen (CEA) Level and Carbohydrate Antigen 19-9 (CA19-9) Level

Serum CA19-9 was measured by using commercial Eliza kit (Abbott Laboratories, Chicago, IL, USA) Catalog No. ab108642 while measurement of serum CEA levels was performed by electro-chemiluminescence immunoassay (Roche, Mannheim, Germany) Catalog NO. E1-207 using a double-antibody sandwich enzyme-linked immunosorbent assay, cut-off values used were 5 μg/L for CEA and 35 U/mL for CA19-9. A result was deemed positive when the marker serum level was higher than the cut-off value.

2.4. Total RNA Extraction

Serum total RNA was extracted using the miRNeasy Serum\Plasma kit (Catalog no. 217184; Qiagen, Hilden, Germany).

In tissue samples, the previously frozen specimen was homogenized by the homogenizer. Total RNA was extracted using miRNeasy Mini kit (Catalog no. 217004; Qiagen, Germany). For evaluating the RNA quality, the A260/A280 ratio was measured and analyzed using the Nano Drop® ND–1000 Spectrophotometer (Nano Drop Technologies, Wilmington, DE, USA).

2.5. Quantitative Real-Time Polymerase Chain Reaction Expression of piR-823

The total RNA was reverse transcribed using miScript RT Kit (Qiagen, Germany) where a mixture of 1 μL miScript Reverse Transcriptase Mix, 4 μL miScript RT buffer, and 2 μg total RNA was formed, then incubated at 37 °C for 60 min.

We used the miScript SYBR Green PCR Kit (Qiagen, Germany) for performing the polymerase chain reaction (PCR) on Stratagene, MX3000P quantitative PCR System (Agilent Technologies) and analyzed using the MxPro QPCR Software (Agilent Technologies). The PCR mixture (20 μL) was formed of 2×QuantiTect SYBR Green PCR Master Mix (10 μL), RT product (4 μL), 10×miScript Universal Primer (1.5 μL) (downstream PCR primer for small RNA; Qiagen), 10× piR-823 (GenBank: DQ571031.1) upstream PCR primer (1 μL), piR-823 upstream primer sequence 5′-AGCGTTGGTGGTATAGTGGT-3′, and distilled water (3.5 μL) [33]. The conditions of the PCR reaction were: 15 min at 95 °C, then 40 cycles of (94 °C for 15 s, 60 °C for 30 s, and 70 °C for 30 s). piR-823 expression level was normalized by using U6 as an internal control. The amount of piR-823 expression change, in patients relative to controls, was evaluated by the ΔΔCt method [34].

3. Statistical Analysis

Data analysis was conducted with SPSS version 15.0 (Statistical Package for the Social Science, Chicago, IL, USA). Quantitative data were presented as mean ± SD (parametric variable), median (non-parametric), frequency and percent (categorical variable), chi-squared test, Student’s t-test, and one-way analysis of variance were applied when needed. A difference was significant if the p-value is <0.05. p-value was adjusted after Bonferroni correction. The capability of piR-823 expression to differentiate between case and control was calculated by plotting the receiver operating characteristics curve (ROC curve), which relates the true positive (sensitivity) to the false positive (specificity) and by the computing area under the curve (AUC).

4. Results

All the clinicopathological characteristics of the patients and the controls were listed in Table 1, where there were no significant differences concerning age and gender, with CEA levels the number of positive cases was 59 (70.24% of the cases) while the number of positive cases of CA 19-9 was 40 (47.62%).

We determined piR-823 expression levels in the serum samples of 47 male and 37 female CRC patients of age 59.12 ± 2.61, 40 male and 35 female healthy controls of age 61.22 ± 3.31, and in biological tissues specimens obtained from the 84 patients with colorectal cancer including core tumor tissues and neighboring normal healthy tissues to detect the expression level of piR-823 and test the feasibility of using it as a tumor marker.

We found that piR-823 is significantly upregulated in the serum of patients with CRC 6.2 ± 2.3-fold-change when compared to healthy controls (1.0 ± 0.2) (p < 0.001). We observed also a highly significant difference in piR-823 expression levels between tumors 3.4 ± 1.9-fold-change and their corresponding adjacent normal tissue samples (1.0 ± 0.4) (p < 0.001) (Table 2).

Table 2.

P-element induced wimpy testis (PIWI) RNA-823 (piR-823) expression in colorectal cancer cases (CRC) and control subjects.

Parameter piR-823 Level p Value
Serum of healthy control 1.0 ± 0.2 <0.001 *
Serum of CRC cases 6.2 ± 2.3
Adjacent normal tissues of CRC cases 1.0 ± 0.4 <0.001 #
Tumor tissues of CRC cases 3.4 ± 1.9

piR-823 level is in fold change relative to control, statistically highly significant difference (p ≤ 0.001), p-value for t test, * when serum of CRC cases compared to control, and # when tumor tissue compared to normal tissues.

When we investigate the association of piR-823 expression with the clinicopathological features of the CRC cases, we found that its expression in tissues showed no association with gender, tumor size, tumor location, and lymph node metastasis (p > 0.05); however, it associated with the staging of tumors and the differentiation degree, with a significantly elevated expression in poorly differentiated tumor tissues (3.9 ± 1.4) (p < 0.05) and stages III and IV (4.4 ± 1.5) (p < 0.001) (Table 3).

Table 3.

Association between piR-823 expression and clinicopathological characteristics in colorectal cancer cases.

Tumor Tissue of CRC Cases Serum of CRC Cases
Parameter No. of Cases (%) piR-823 (Mean ± SD) p Value piR-823 (Mean ± SD) p Value
Gender 0.35 0.438
- Male 47 (56) 3.3 ± 1.8 6.0 ± 2.2
- Female 37 (44) 3.7 ± 2.1 6.4 ± 2.5
Tumor Location 0.51 0.334
- Distal 52 (62) 3.3 ± 1.9 5.8 ± 2.4
- Proximal 32 (38) 3.6 ± 2.2 6.3 ± 2.1
TNM staging. ** <0.001 ** <0.001
-Stage I, II 44 (52.38) 2.2 ± 2.9 5.3 ± 3.1
-Stage III, IV 40 (47.62) 4.4 ± 1.5 7.5 ± 1.5
Tumor Grading 0.771 0.653
- Grade 1, 2 67 (79.76) 3.4 ± 2.7 6.1 ± 2.5
- Grade 3 17 (20.24) 3.6 ± 1.6 6.4± 2.2
Differentiation * 0.042 ** <0.001
-Well, Moderate 60 (71.43) 2.9 ± 2.2 3.5 ± 2.7
-Poor 24 (28.57) 3.9 ± 1.4 9.2 ± 1.9
Lymph node metastasis 0.454 * 0.031
- Negative
- Positive 21 (25) 3.2 ± 1.8 5.5 ±2.2
63 (75) 3.6 ± 2.2 6.8 ± 2.4
CEA 0.525 0.7
- Negative 25 (29.76) 3.6 ± 1.9 6.1 ±2.7
- Positive 59 (70.24) 3.3 ± 2.0 6.3 ± 1.9
CA 19-9 0.39 0.118
- Negative 44 (52.38) 3.7 ± 1.2 5.8 ± 2.4
- Positive 40 (47.62) 3.3 ± 2.8 6.6 ± 2.2

piR-823 level is in fold change, p-value for t-test, * statistically significant difference (p ≤ 0.05), ** statistically highly significant difference (p ≤ 0.001).

We detected highly significant levels of serum piR-823 expression associated with advanced clinical stages of CRC (III and IV) (7.5± 1.5) (p < 0.001), poor differentiation (9.2 ± 1.9) (p < 0.001), and lymph node metastasis (6.8 ± 2.4) (p < 0.05) (Table 3).

When we plotted the ROC curve to investigate the ability of piR-823 in diagnosing patients with colorectal carcinoma. The test showed 83.3% sensitivity and 89.3% specificity at a cut-off value of >5.98-fold change, with an area under the curve of 0.933 (Figure 1).

Figure 1.

Figure 1

Receiver operating characteristics curve (ROC curve) of performance of piR-823 in diagnosing patients with colorectal carcinoma. The test shows 83.3% sensitivity and 89.3% specificity at a cut-off value of >5.98-fold change, with an area under the curve of 0.933 (p < 0.0001).

Correlation study of the relationship between expression of piR-823 in serum of colorectal carcinoma patients and the affected tissue shows a strong positive correlation, with a correlation coefficient of 0.9285, p < 0.0001 (Figure 2), proving that increased piR-823 in tissues correlated with its increase in serum so there is no need to the invasive colonoscopy which can be replaced by noninvasive blood sampling.

Figure 2.

Figure 2

Correlation between serum and tissue expression of piR-823 measured in fold change. The curve shows a strong positive correlation with a correlation coefficient of 0.9285, p < 0.0001.

These results proved that piR-823 is upregulated in colorectal cancer, and its serum level can act as a diagnostic biomarker in CRC patients.

5. Discussion

Colorectal cancer ranks third in morbidity and second in mortality among different cancers worldwide [35]. The development in using colonoscopy has improved the outcome of detection and resection of colorectal polyps. Still, no significant improvement has been observed in the prognosis of colorectal cancer since 1997 [36]. For an improvement to occur, we should rethink conventional detection and treatment methods and instead use more selective therapies guided by new discoveries in tumor biomarkers.

One of those new discoveries is the significant link between piRNA and PIWI expression levels and tumors ongoing research is still assessing its usefulness in targeted therapy [23,24,25,27].

piRNAs promising outlook as an early tumor biomarker can be attributed to its relative stability compared to miRNAs because of the presence of PIWI protein, which is thought to have a protective function [37]. piR-823 was among the first piRNAs reported having this link, directing many studies to test its usefulness as a biomarker, including this one [22,23,28,29].

We showed that piR-823 had a higher serum level in CRC patients compared to healthy controls moreover we observed a correlation between piR-823 serum levels and the staging of CRC, with higher levels exhibiting advanced stages of CRC (III and IV), this translates into a poorer differentiation and lymph node metastasis. As far as we know, we were the first to measure piR-823 in CRC patients’ serum and correlate it with its diagnosis, however our results are in line with other studies which focused mainly on piR-823 tissue level in CRC patients, notably Yin et al. in 2017 [38] who was the first study to point out the piR-823 upregulation in CRC tissues compared to its normal counterparts. We found that piR-823 expression in tissues, like its serum level, was correlated with differentiation and staging of colorectal cancer. A correlation study of the relationship between expression of piR-823 in serum of colorectal carcinoma patients and the affected tissue shows a strong positive correlation. Proving that increased piR-823 in tissues correlated with its increase in serum, emphasizing that monitoring the expression of piR-823 in blood could be a non-invasive and easy diagnostic procedure.

Few mentions of altered piRNAs levels in CRC were found in the scientific literature, with some promoting tumor growth and others having a suppressor role. CRC cell growth had significantly sped up with high levels of piR-1245 [39]. The expression of piR-1245 is higher in colorectal tumor tissues with lymph node metastasis, poor differentiation, distant metastasis, advanced T stage, and low overall survival (OS), and piR-1245 increase the growth of CRC cell by promoting invasion, migration, and preventing apoptosis however, it was not measured in serum [39]. While piR-54265 was found to aid CRC cell proliferation and metastasis and meanwhile upregulated in CRC tissues [40]. It was higher in shorter progression-free survival and OS, its increase caused chemoresistance by increasing 5-FU and oxaliplatin half maximal inhibitory concentrations. The same as piR-1245, it promoted CRC growth by inhibiting apoptosis mainly by PIWIL2/STAT3/p- SRC complex creation, but its serum level was not measured [40].

piR-015551 has abnormal expression in CRC tissues according to its variants, while its rs11776042 variant (thymine to cytosine; T > C) alters piRNA’s secondary structure, which changes piRNA influences on colorectal cancer development [41], meanwhile piR-5937 is downregulated in CRC and is used to identify cancer patients from healthy ones [42].

piR-823 has been observed to have roles in cancers other than CRC albeit with different mechanisms, one study concluded that piR-823 may have a tumor suppressive role in gastric cancer as it was markedly downregulated [22], similarly it was found to be downregulated in renal cell carcinoma (RCC), but paradoxically it was positively correlated with worse prognosis, suggesting a more complex mechanism in RCC than previously thought [43]. On the contrary, extracellular vesicles associated with multiple myeloma exhibited higher levels of piR-823 than normal, and was positively correlated with the clinical stages of myeloma [37].

piR-823 role in CRC development is complex and includes different mechanisms, it alters heat shock factor 1 (HSF1) by a post translational mechanism leading to a suppression in cell apoptosis as well as an enhancement in proliferation [38]. piR-823 promotes HSF1 phosphorylation at Ser326 leading to increased expression of heat shock proteins which may explain its role as a strong driver for oncogenesis [38]. Another mechanism is the phosphorylation of STAT3 by PIWI/piRNA complex2 and the activation of STAT3/BCL-xl/cyclinD1 signaling pathway, which may induce cyclin-dependent kinase inhibitor (CDKI) expression and control G1 phase progression [44]. This has therapeutic implications as piR-823 inhibitor leads to G1 phase stagnation and downregulate cyclin D1 and CDK4 [45], consequently reversing piR-823 role in CRC cell proliferation, and thus it inhibits CRC proliferation and induces cell apoptosis, further cementing piR-823 role in targeted therapy [38]. The downstream targets of piRNA-823 include DNA methyltransferases (DNMTs) genes as DNMT1, DNMT3A, and DNMT3B which maintain methylation of DNA leading to regulation of gene expression, DNMTs gene expression is increased by piR-823, which encouraged adenomatous polyposis coli (APC) gene methylation thus causing Wnt signaling activation and provoking cancer cell stemness, on the other hand piRNA-823 was proved to promote carcinogenesis by regulating cancer stem cells [46].

Sellitto et al. studied the PIWIL/piRNA pathway in COLO 205 colorectal cancer cells, which express significant levels of this protein, they demonstrated PIWIL1 is in a Nuage-like assembly found in the cell perinuclear part where a noteworthy portion of methylated piRNAs was expressed in an active form. They revealed also that many piRNAs can be found loaded into PIWIL1 forming complexes comprising their target mRNAs. The matured transcripts linked to the PIWIL/piRNA complex coded molecular mechanisms’ key regulatory proteins which took part in CRC tumorigenesis, implying that the PIWI/piRNA complex can take part in establishing or maintaining the CRC clinico-pathological features [47].

As piRNAs mechanisms include mainly the upstream of multiple signaling pathways and regulatory networks, they represent a new opportunity in early cancer screening and subsequent treatment [37].

piR-823 show promise as novel complementary tumor markers for cancer if further confirmed by different expression of piRNA in serum of cancer patients compared to controls, and its significant association with clinical tumor stages and aggressive biological behavior. It also represents a convenient screening tool, as blood sampling is a non-invasive diagnostic method and is already used in clinical settings. Several studies deduced the feasibility of using piR-823 as a preferential biomarker for screening cancer using blood samples as in gastric cancer [22], RCC [43], and multiple myeloma [37]. They all agreed that piR-823 is a brilliant cancer biomarker which not only used for diagnosis but also for screening and prognosis.

6. Conclusions

piR-823 expression is upregulated in colorectal cancer patients’ serum and tissues and it can be used as a diagnostic biomarker for CRC however further studies are needed to confirm this and reveal its mechanism of action to be used in future therapy.

Acknowledgments

We acknowledged all subjects included in our study.

Author Contributions

N.A.S. designed the study and preformed the experiments with A.S.A. and N.R. Ahmed A.A.-S. analyzed the data. N.A., W.A.M. and W.M.A. recruited the cases and asses their clinical stages while W.A.M. and W.M.A. performed the surgical procedures. A.F.G. revised the paper and funded it All the authors wrote the paper. All authors have read and agreed to the published version of the manuscript.

Funding

No funding was received.

Institutional Review Board Statement

Ethical committee of Zagazig University and the International Review Board (IRB), Faculty of Medicine approved this study (Zu-IRB#3245/10-5-2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data available on request due to privacy/ethical restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Ferlay J., Colombet M., Soerjomataram I., Parkin D.M., Piñeros M., Znaor A., Bray F. Cancer statistics for the year 2020: An overview. Int. J. Cancer. 2021 doi: 10.1002/ijc.33588. [DOI] [PubMed] [Google Scholar]
  • 2.World Health Organization (WHO) WHO Mortality Database. Health Statistics and Information Systems. Geneva, Switzerland. [(accessed on 9 April 2021)]; Available online: https://www.who.int/data/data-collection-tools/who-mortality-database.
  • 3.Gado A., Ebeid B., Abdelmohsen A., Axon A. Colorectal cancer in Egypt is commoner in young people: Is this cause for alarm? Alex. J. Med. 2014;50:197–201. doi: 10.1016/j.ajme.2013.03.003. [DOI] [Google Scholar]
  • 4.Siegel R.L., Miller K.D., Fedewa S.A., Ahnen D.J., Meester R.G.S., Barzi A., Jemal A. Colorectal cancer statistics, 2017. CA A Cancer J. Clin. 2017;67:177–193. doi: 10.3322/caac.21395. [DOI] [PubMed] [Google Scholar]
  • 5.Ransohoff D.F. How much does colonoscopy reduce colon cancer mortality? Ann. Intern. Med. 2009;150:50–52. doi: 10.7326/0003-4819-150-1-200901060-00308. [DOI] [PubMed] [Google Scholar]
  • 6.Wang S., Xiang J., Li Z., Lu S., Hu J., Gao X., Yu L., Wang L., Wang J., Wu Y., et al. A plasma microRNA panel for early detection of colorectal cancer. Int. J. Cancer. 2013;136:152–161. doi: 10.1002/ijc.28136. [DOI] [PubMed] [Google Scholar]
  • 7.Mandel J.S. Screening for colorectal cancer. Gastroenterol. Clin. N. Am. 2008;37:97–115. doi: 10.1016/j.gtc.2007.12.007. [DOI] [PubMed] [Google Scholar]
  • 8.Bailey J.R., Aggarwal A., Imperiale T.F. Colorectal Cancer Screening: Stool DNA and Other Noninvasive Mo-dalities. Gut Liver. 2016;10:204–211. doi: 10.5009/gnl15420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Uppara M., Adaba F., Askari A., Clark S., Hanna G., Athanasiou T., Faiz O. A systematic review and meta-analysis of the diagnostic accuracy of pyruvate kinase M2 isoenzymatic assay in diagnosing colorectal cancer. World J. Surg. Oncol. 2015;13:48. doi: 10.1186/s12957-015-0446-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Takai T., Kanaoka S., Yoshida K.-I., Hamaya Y., Ikuma M., Miura N., Sugimura H., Kajimura M., Hishida A. Fecal Cyclooxygenase 2 Plus Matrix Metalloproteinase 7 mRNA Assays as a Marker for Colorectal Cancer Screening. Cancer Epidemiol. Biomark. Prev. 2009;18:1888–1893. doi: 10.1158/1055-9965.EPI-08-0937. [DOI] [PubMed] [Google Scholar]
  • 11.Okugawa Y., Toiyama Y., Goel A. An update on microRNAs as colorectal cancer biomarkers: Where are we and what’s next? Expert Rev. Mol. Diagn. 2014;14:999–1021. doi: 10.1586/14737159.2014.946907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Calin G.A., Croce C.M. MicroRNA Signatures in Human Cancers. Nat. Rev. Cancer. 2006;6:857–866. doi: 10.1038/nrc1997. [DOI] [PubMed] [Google Scholar]
  • 13.Hur K., Toiyama Y., Okugawa Y., Ide S., Imaoka H., Boland C.R., Goel A. Circulating microRNA-203 pre-dicts prognosis and metastasis in human colorectal cancer. Gut. 2017;66:654–665. doi: 10.1136/gutjnl-2014-308737. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Girard A., Sachidanandam R., Hannon G.J., Carmell M.A. A germline-specific class of small RNAs binds mammalian Piwi proteins. Nature. 2006;442:199–202. doi: 10.1038/nature04917. [DOI] [PubMed] [Google Scholar]
  • 15.Vagin V.V., Sigova A., Li C., Seitz H., Gvozdev V., Zamore P.D. A Distinct Small RNA Pathway Silences Selfish Genetic Elements in the Germline. Science. 2006;313:320–324. doi: 10.1126/science.1129333. [DOI] [PubMed] [Google Scholar]
  • 16.Lakshmi S.S., Agrawal S. piRNABank: A web resource on classified and clustered Piwi-interacting RNAs. Nucleic Acids Res. 2007;36:D173–D177. doi: 10.1093/nar/gkm696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zhang P., Si X., Skogerbø G., Wang J., Cui D., Li Y., Sun X., Liu L., Sun B., Chen R., et al. piRBase: A web resource assisting piRNA functional study. Database. 2014;2014:bau110. doi: 10.1093/database/bau110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Grivna S.T., Beyret E., Wang Z., Lin H. A novel class of small RNAs in mouse spermatogenic cells. Genes Dev. 2006;20:1709–1714. doi: 10.1101/gad.1434406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yan Z., Hu H.Y., Jiang X., Maierhofer V., Neb E., He L., Hu Y., Hu H., Li N., Chen W., et al. Widespread expression of piRNA-like molecules in somatic tissues. Nucleic Acids Res. 2011;39:6596–6607. doi: 10.1093/nar/gkr298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aravin A.A., Sachidanandam R., Girard A., Fejes-Toth K., Hannon G.J. Developmentally Regulated piRNA Clusters Implicate MILI in Transposon Control. Science. 2007;316:744–747. doi: 10.1126/science.1142612. [DOI] [PubMed] [Google Scholar]
  • 21.Balmeh N., Mahmoudi S., Karabedianhajiabadi A. piRNAs and PIWI proteins: From biogenesis to their role in cancer. Gene Rep. 2021;22:101013. doi: 10.1016/j.genrep.2020.101013. [DOI] [Google Scholar]
  • 22.Cheng J., Deng H., Xiao B., Zhou H., Zhou F., Shen Z., Guo J. piR-823, a novel non-coding small RNA, demonstrates in vitro and in vivo tumor suppressive activity in human gastric cancer cells. Cancer Lett. 2012;315:12–17. doi: 10.1016/j.canlet.2011.10.004. [DOI] [PubMed] [Google Scholar]
  • 23.Yan H., Wu Q.-L., Sun C.-Y., Ai L.-S., Deng J., Zhang L., Chen L., Chu Z.-B., Tang B., Wang K., et al. piRNA-823 contributes to tumorigenesis by regulating de novo DNA methylation and angiogenesis in multiple myeloma. Leukemia. 2014;29:196–206. doi: 10.1038/leu.2014.135. [DOI] [PubMed] [Google Scholar]
  • 24.Law P.T.-Y., Qin H., Ching A.K.-K., Lai K.P., Na Co N., He M., Lung R.W.-M., Chan A.W.-H., Chan T.-F., Wong N. Deep sequencing of small RNA transcriptome reveals novel non-coding RNAs in hepatocellular carcinoma. J. Hepatol. 2013;58:1165–1173. doi: 10.1016/j.jhep.2013.01.032. [DOI] [PubMed] [Google Scholar]
  • 25.Peng L., Song L., Liu C., Lv X., Li X., Jie J., Zhao D., Li D. piR-55490 inhibits the growth of lung carcinoma by suppressing mTOR signaling. Tumor Biol. 2015;37:2749–2756. doi: 10.1007/s13277-015-4056-0. [DOI] [PubMed] [Google Scholar]
  • 26.Hashim A., Rizzo F., Marchese G., Ravo M., Tarallo R., Nassa G., Giurato G., Santamaria G., Cordella A., Cantarella C., et al. RNA sequencing identifies specific PIWI-interacting small non-coding RNA ex-pression patterns in breast cancer. Oncotarget. 2014;5:9901–9910. doi: 10.18632/oncotarget.2476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Chu H., Hui G., Yuan L., Shi D., Wang Y., Du M., Zhong D., Ma L., Tong N., Qin C., et al. Identification of novel piRNAs in bladder cancer. Cancer Lett. 2015;356:561–567. doi: 10.1016/j.canlet.2014.10.004. [DOI] [PubMed] [Google Scholar]
  • 28.Cui L., Lou Y., Zhang X., Zhou H., Deng H., Song H., Yu X., Xiao B., Wang W., Guo J. Detection of circulating tumor cells in peripheral blood from patients with gastric cancer using piRNAs as markers. Clin. Biochem. 2011;13:1050–1057. doi: 10.1016/j.clinbiochem.2011.06.004. [DOI] [PubMed] [Google Scholar]
  • 29.Yang X., Cheng Y., Lu Q., Wei J., Yang H., Gu M. Detection of stably expressed piRNAs in human blood. Int. J. Clin. Exp. Med. 2015;8:13353–13358. [PMC free article] [PubMed] [Google Scholar]
  • 30.Freedman J.E., Gerstein M., Mick E., Rozowsky J., Levy D., Kitchen R., Das S., Shah R., Danielson K., Beau-lieu L., et al. Diverse human extracellular RNAs are widely detected in human plasma. Nat. Commun. 2016;7:11106. doi: 10.1038/ncomms11106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Hamilton S., Bosman F., Boffetta P. Carcinoma of the colon and rectum. In: Bosman F., Carneiro F., Hruban R., Theise N., editors. WHO Classification of Tumors of the Digestive System. 4th ed. IARC; Lyon, France: 2010. pp. 134–146. [Google Scholar]
  • 32.Edge S.B., Compton C.C. The American Joint Committee on Cancer: The 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM. Ann. Surg. Oncol. 2010;17:1471–1474. doi: 10.1245/s10434-010-0985-4. [DOI] [PubMed] [Google Scholar]
  • 33.Guo J., Miao Y., Xiao B., Huan R., Jiang Z., Meng D., Wang Y. Differential expression of microRNA species in human gastric cancer versus non-tumorous tissues. J. Gastroenterol. Hepatol. 2009;24:652–657. doi: 10.1111/j.1440-1746.2008.05666.x. [DOI] [PubMed] [Google Scholar]
  • 34.Livak K.J., Schmittgen T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT Method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  • 35.Bray F., Ferlay J., Soerjomataram I., Siegel R.L., Torre L.A., Jemal A. Global cancer statistics 2018: GLO-BOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 36.Ladabaum U., Mannalithara A., Meester R.G., Gupta S., Schoen R.E. Cost-Effectiveness and National Effects of Initiating Colorectal Cancer Screening for Average-Risk Persons at Age 45 Years Instead of 50 Years. Gastroenterology. 2019;157:137–148. doi: 10.1053/j.gastro.2019.03.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Li B., Hong J., Hong M., Wang Y., Yu T., Zang S., Wu Q. piRNA-823 delivered by multiple myeloma-derived extracellular vesicles promoted tumorigenesis through re-educating endothelial cells in the tumor environment. Oncogene. 2019;38:5227–5238. doi: 10.1038/s41388-019-0788-4. [DOI] [PubMed] [Google Scholar]
  • 38.Yin J., Jiang X., Qi W., Ji C., Xie X., Zhang D., Cui Z., Wang C., Bai Y., Wang J., et al. piR-823 contributes to colorectal tumorigenesis by enhancing the transcriptional activity of HSF 1. Cancer Sci. 2017;108:1746–1756. doi: 10.1111/cas.13300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Weng W., Liu N., Toiyama Y., Kusunoki M., Nagasaka T., Fujiwara T., Wei Q., Qin H., Lin H., Ma Y., et al. Novel evidence for a PIWI interacting RNA (piRNA) as an oncogenic me-diator of disease progression, and potential prognostic biomarker in colorectal cancer. Mol. Cancer. 2018;17:16. doi: 10.1186/s12943-018-0767-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Mai D., Ding P., Tan L., Zhang J., Pan Z., Bai R., Li C., Li M., Zhou Y., Tan W., et al. PIWI-interacting RNA-54265 is oncogenic and a potential therapeutic target in colorectal adenocarcinoma. Theranostics. 2018;8:5213–5230. doi: 10.7150/thno.28001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Chu H., Xia L., Qiu X., Gu D., Zhu L., Jin J., Hui G., Hua Q., Du M., Tong N., et al. Genetic variants in noncoding PIWI-interacting RNA and colorectal cancer risk. Cancer. 2015;121:2044–2052. doi: 10.1002/cncr.29314. [DOI] [PubMed] [Google Scholar]
  • 42.Vychytilova-Faltejskova P., Stitkovcova K., Radova L., Sachlova M., Kosarova Z., Slaba K., Kala Z., Svoboda M., Kiss I., Vyzula R., et al. Circulating PIWI-Interacting RNAs piR-5937 and piR-28876 Are Promising Diagnostic Biomarkers of Colon Cancer. Cancer Epidemiol. Biomark. Prev. 2018;27:1019–1028. doi: 10.1158/1055-9965.EPI-18-0318. [DOI] [PubMed] [Google Scholar]
  • 43.Iliev R., Fedorko M., Machackova T., Mlcochova H., Svoboda M., Pacik D., Dolezel J., Stanik M., Slaby O. Expression Levels of PIWI-interacting RNA, piR-823, Are Deregulated in Tumor Tissue, Blood Serum and Urine of Patients with Renal Cell Carcinoma. Anticancer. Res. 2016;36:6419–6424. doi: 10.21873/anticanres.11239. [DOI] [PubMed] [Google Scholar]
  • 44.Lee J.H., Schütte D., Wulf G., Füzesi L., Radzun H.J., Schweyer S., Engel W., Nayernia K. Stem-cell protein Piwil2 is widely expressed in tumors and inhibits apopto-sis through activation of Stat3/Bcl-XL pathway. Hum. Mol. Genet. 2006;15:201–211. doi: 10.1093/hmg/ddi430. [DOI] [PubMed] [Google Scholar]
  • 45.Lu Y., Zhang K., Li C., Yao Y., Tao D., Liu Y., Zhang S., Ma Y. Piwil2 suppresses p53 by inducing phos-phorylation of signal transducer and activator of transcription 3 in tumor cells. PLoS ONE. 2012;7:e3099945. doi: 10.1371/journal.pone.0030999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ding X., Li Y., Lü J., Zhao Q., Guo Y., Lu Z., Ma W., Liu P., Pestell R.G., Liang C., et al. piRNA-823 Is Involved in Cancer Stem Cell Regulation Through Altering DNA Methylation in Association with Luminal Breast Cancer. Front. Cell Dev. Biol. 2021;9:641052. doi: 10.3389/fcell.2021.641052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sellitto A., Geles K., D’Agostino Y., Conte M., Alexandrova E., Rocco D., Nassa G., Giurato G., Tarallo R., Weisz A., et al. Molecular and Functional Characterization of the Somatic PIWIL1/piRNA Pathway in Colorectal Cancer Cells. Cells. 2019;8:1390. doi: 10.3390/cells8111390. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data available on request due to privacy/ethical restrictions.


Articles from Genes are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES