Circulating microRNA‑103a‑3p could be a diagnostic and prognostic biomarker for breast cancer
- Authors:
- Published online on: December 3, 2021 https://doi.org/10.3892/ol.2021.13156
- Article Number: 38
-
Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Breast cancer (BC) is the second most common malignancy worldwide and the most frequent cancer in women (1), contributing to an estimated 25% of all new cancer cases and ~0.5 million cancer-related deaths each year (2). Despite progress in the current BC therapies, including surgery, radiotherapy, chemotherapy and endocrinotherapy, almost 30% patients with BC, diagnosed at early-stages, may develop distant metastasis, leading to death (3,4). So far, a number of clinicopathological features, including tumor size, histological grade, lymph node status, hormone receptor (HR) status and human epidermal growth factor receptor type 2 (HER2) status, have been used for the diagnosis and prognostic prediction in patients with BC (5); however, the value of these traditional markers in predicting the prognosis of BC is limited (6). Therefore, additional diagnostic or prognostic biomarkers for early surveillance in patients with BC is required.
MicroRNAs (miRNAs/miR) are a family of endogenous small non-coding RNAs, which are 18–23 nucleotides in length, and are considered to regulate numerous biological processes, including cell differentiation, proliferation, apoptosis and metastasis (7–9). To date, miRNA expression signatures have been found to play a tumor suppressive or oncogenic role in cancer using translational repression or target degradation and gene silencing (10). In addition, miRNAs have been shown to be promising biomarkers for BC as they can be readily detected in both tumor tissues and body fluids (as circulating miRNAs), including in plasma, serum or saliva (11–13).
Numerous studies have demonstrated that miR-103a-3p is an oncomiR in various types of cancer, including thyroid cancer (14), colorectal cancer (15), gastric cancer (16), oral squamous cell carcinoma (17), malignant mesothelioma (18) and salivary adenoid cystic carcinoma (19). In contrast, Ge et al (20) reported that downregulation of miR-103a-3p could inhibit the proliferation and invasion of prostate cancer. However, the role of miR-103a-3p in BC has not been elucidated.
The aim of the present study was to detect the expression level of serum miR-103a-3p in patients with BC, analyze the association between miR-103a-3p expression and clinicopathological features, and evaluate the ability of circulating miR-103a-3p to predict and diagnose BC.
Materials and methods
Clinical samples
A total of 112 women with BC, who were admitted and received treatment at the Cangzhou Central Hospital (Hebei, China) between January 2009 and December 2014 were recruited into the present study. All the patients with BC underwent modified radical mastectomy or breast-conserving surgery. The serum samples were collected one day prior to and following surgery. Patients were included if they were i) histologically confirmed as having invasive ductal breast carcinoma (IDC) type; ii) had no other associated malignancies; iii) had complete follow-up clinicopathological information; and iv) who were disease-free and followed up for at least 5 years. Patients with any neoadjuvant treatment prior to surgery or with bilateral or inflammatory BC were excluded. In addition, a group of 59 age- and sex-matched healthy volunteers were enrolled as a control group, at the same institution between January 2013 and December 2014, and serum samples were also obtained during routine physical examinations. The mean age was 54.1±9.8 years for patients with BC and 53.9±9.3 years for healthy controls. The peripheral blood samples were collected from all participants in serum gel separator tubes. Each sample was centrifuged at 3,000 × g for 10 min at 4°C to separate serum, then stored at −80°C until further use.
Clinical data, including age, tumor size, pathological type, lymph-node status, histological grading, metastasis and TNM stage, were also collected. The tumors were staged according to the 8th edition of the American Joint Committee on Cancer (21). Postoperative routine pathological examination, hormonal estrogen receptors (ER), progesterone receptors (PR), and HER2 were tested using immunohistochemistry by two pathologists in a blinded manner at Department of Pathology, Cangzhou Central Hospital (Cangzhou, China) independently. All enrolled patients provided written informed consent for the use of their tissue samples and clinical information in the present study. The Ethics Committee of Cangzhou Central Hospital (Hebei, China; approval no. 20210013) approved the study and was conducted in accordance with the Declaration of Helsinki.
RNA extraction and reverse transcription-quantitative PCR (RT-qPCR)
Total RNA was extracted from the prepared serum samples using the RNA Isolation kit (Qiagen, Inc.), and the cDNA was synthesized using the RevertAid First Strand cDNA Synthesis kit (Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. RT-qPCR was subsequently performed using the TaqMan miR assay system (cat. no. A25576; Applied Biosystems; Thermo Fisher Scientific, Inc.) on an FTC-3000™ System (Funglyn Biotech Inc.). The thermocycling conditions for RT-qPCR were: Initial denaturation at 95°C for 1 min, followed by 40 cycles of 95°C for 10 sec and 60°C for 35 sec. Relative expression of miR-103a-3p was normalized to that of U6 using the 2−∆∆Cq method (22). The following primers (Shanghai GenePharma Co., Ltd) were used: miR-103a-3p forward, 5′-ATCCAGTGCGTGTCGTG-3′ and reverse, 5′-TGCTAGCAGCATTGTACAGG-3′; U6 forward, 5′-CGCTTCGGCAGCACATATAC-3′ and reverse, 5′-TTCACGAATTTGCGTGTCAT-3′.
Statistical analysis
The data are expressed as the mean ± SD from at least three independent experiments. Statistical evaluations were performed using SPSS v20.0 (IBM Corp.). Differences between two groups were analyzed using an unpaired Student's t-test, while the expression of miR-103a-3p in BC serum tissues before and after surgery was compared using a paired Student's t-test. Comparisons of multiple groups were performed using ANOVA followed by Tukey's post hoc test. Categorical data were compared using either a χ2 test or a Fisher's exact test. Based on the median values of miR-103a-3p expression, patients with BC were classified into either miR-103a-3p low (n=56) or high expression (n=56) groups. Receiver operating characteristic (ROC) curves were utilized to calculate diagnostic accuracy. The survival outcomes, including overall survival (OS) and recurrence-free survival (RFS) times, were evaluated using Kaplan-Meier curves and compared using a log-rank test. OS time was calculated from the date of surgery to the date of the patient's death or to the date of last follow-up. RFS time was defined between the date of surgery to the date of BC recurrence. Prognostic factors were analyzed using Cox regression proportional hazards analysis. P<0.05 was considered to indicate a statistically significant difference.
Results
Study population
As shown in Table I, 112 patients with BC were recruited into the study, and a total of 59 age-matched healthy female volunteers were used as the control group. There were 81 (72.3%) patients with lymph-node involvement and 28 patients (25.0%) with distant metastasis. With respect to TNM stage, 54 patients with BC (48.2%) were at stage II, 30 patients (26.8%) at stage III, and 28 patients (25.0%) at stage IV. All other clinicopathological data are shown in Table I.
 | Table I.Association between miR-103a-3p expression level and clinicopathological features in patients with breast cancer. |
miR-103a-3p is upregulated in patients with BC
To primarily investigate the expression level of miR-103a-3p in BC tissues, sera from 112 patients with BC and 59 healthy controls were collected for RT-qPCR analysis. The results showed that miR-103a-3p expression was significantly upregulated in patients with BC compared with that in the controls (P<0.001; Fig. 1A). In addition, serum miR-103a-3p expression was significantly reduced in patients with BC following surgery (P<0.001; Fig. 1B). The miR-103a-3p expression level in patients with positive HER2 status was significantly higher compared with those who are HER2 negative (P<0.001; Fig. 2A). In addition, miR-103a-3p expression level in patients with BC and metastasis was significantly higher compared with that in those without metastasis (P<0.001; Fig. 2B). Comparison of miR-103a-3p expression level between patients with BC and different TNM stages showed statistically significant differences between stages II, III and IV (III vs. II, P<0.001; IV vs. II, P<0.001; IV vs. III, P<0.001; Fig. 2C). Furthermore, there was no significant difference between miR-103a-3p expression levels with respect to the molecular subtypes of BC (Luminal B vs. Luminal A, P=0.732; HER2 enriched vs. Luminal A, P=0.840; Triple negative vs. Luminal A, P=0.501; HER2 enriched vs. Luminal B, P=0.667; Triple negative vs. Luminal B, P=0.341; Triple negative vs. HER2 enriched, P=0.829; Fig. 2D).
Association between serum miR-103a-3p expression level and clinicopathological features of BC
The association between the miR-103a-3p expression level and the clinicopathological features in patients with BC was further analyzed. It was found that miR-103a-3p expression was significantly associated with HER2 status (P=0.018), metastasis (P=0.002) and TNM stage (P=0.028) (Table I).
Diagnostic value of miR-103a-3p in patients with BC
To evaluate the diagnostic value of miR-103a-3p in patients with BC, the performance of serum miR-103a-3p level in distinguishing between patients with BC and the controls was performed using ROC analysis. As shown in Fig. 3A, the optimal diagnostic cut-off value for miR-103a-3p was 3.01, and the AUC value for miR-103a-3p was 0.697 [95% confidence interval (CI), 0.615-0.778], with a sensitivity and specificity of 78.2 and 74.7%, respectively. Furthermore, ROC analysis also demonstrated that the optimal diagnostic cut-off value for miR-103a-3p was 3.4, and the AUC value for miR-103a-3p was 0.936 (95% CI, 0.892–0.980), with a sensitivity and specificity of 88.6 and 84.0%, respectively, in distinguishing patients with BC and metastasis from those without metastasis (Fig. 3B).
Prognostic value of miR-103a-3p in patients with BC
Next, using Kaplan-Meier curves to analyze OS time, the results showed that patients with BC and a high expression level of miR-103a-3p was associated with worse OS (P=0.016) (Fig. 4A) and RFS times (P=0.033) (Fig. 4B) compared with that in patients with a low expression level of miR-103a-3p. Univariate Cox regression analyses demonstrated that HER2 status [hazard ratio (HR), 2.141; 95% CI, 1.254-3.274; P=0.002), metastasis (HR, 2.841; 95% CI, 1.542-3.984; P=0.001), TNM stage (III vs. II, HR, 2.547; 95% CI, 1.564-3.854; P<0.001; and IV vs. II, HR, 2.951; 95% CI, 1.785-3.641; P<0.001) and high miR-103a-3p expression (HR, 1.774; 95% CI, 1.452-2.051; P=0.005) were independent indicators for poor OS time in patients with BC (Table II). Multivariate Cox regression analyses showed that HER2 status [HR, 1.952; 95% CI, 1.112-2.874; P=0.012), metastasis (HR, 2.412; 95% CI, 1.214-3.174; P=0.005), TNM stage (III vs. II, HR, 2.471; 95% CI, 1.384-3.641; P=0.001; and IV vs. II, HR, 2.814; 95% CI, 1.541-3.285; P<0.001) and high miR-103a-3p expression (HR, 1.612; 95% CI, 1.314-1.854; P=0.023) were independent indicators for poor OS time in patients with BC (Table II). In addition, univariate Cox regression analyses showed that HER2 status (HR, 2.325; 95% CI, 1.653-3.018; P=0.001), metastasis (HR, 3.145; 95% CI, 2.521-3.954; P<0.001), TNM stage (III vs. II, HR, 2.154; 95% CI, 1.621-2.963; P<0.001; and IV vs. II, HR, 2.335; 95% CI, 1.841-3.115; P<0.001) and high miR-103a-3p expression (HR, 1.684; 95% CI, 1.351-1.997; P=0.002) were independent indicators for poor RFS (Table III). Multivariate Cox regression analyses revealed that HER2 status (HR, 2.010; 95% CI; 1.532-2.991; P=0.009), metastasis (HR, 2.888; 95% CI, 2.113-3.208; P=0.001), TNM stage (III vs. II, HR, 1.997; 95% CI, 1.554-2.563; P=0.003; and IV vs. II, HR, 2.117; 95% CI; 1.609-3.695; P<0.001) and high miR-103a-3p expression (HR, 1.333; 95% CI, 1.241-1.763; P=0.029) were independent indicators of poor RFS time (Table III). Taken together, the results indicated that miR-103a-3p was an independent unfavorable prognostic factor in patients with BC.
| Table II.Univariate and multivariate analyses of prognostic factors associated with overall survival. |
| Table III.Univariate and multivariate analyses of prognostic factors associated with recurrence-free survival. |
Discussion
BC is an aggressive cancer and commonly diagnosed at a late stage, with a risk of developing metastasis (23). Recently, a spectrum of miRNAs has been determined to be of great importance during the progression of BC, which may benefit BC diagnosis and prognosis (24). For example, Li et al (25) identified a panel of five plasma miRNAs (let-7b-5p, miR-122-5p, miR-146b-5p, miR-210-3p and miR-215-5p) to detect BC with high sensitivity and specificity. Zhang et al (26) screened a panel of 3 miRNAs (miR-199a, miR-29c and miR-424) for differentiating patients with BC from controls, with the highest diagnostic accuracy.
Various studies have associated miR-103a-3p in tumor progression. As reported, miR-103a-3p expression levels were increased in gastric cancer tissues and enhanced overexpression of miR-103a-3p promoted gastric cancer cell proliferation (16). Zhang et al (14) reported that miR-103a-3p was overexpressed in thyroid cancer tissues and knocking down its expression could inhibit cell proliferation, migration and invasion, and promote thyroid cancer cell apoptosis. In addition, knocking down miR-103a-3p expression in oral squamous cell carcinoma could repress cell proliferation and induce apoptosis (17). Analysis of the clinical samples in the present study revealed that miR-103a-3p was upregulated in patients with BC and was also significantly associated with advanced features of BC, including positive HER2 status, metastasis and a more advanced TNM stage. High expression of miR-103a-3p was also associated with poor survival outcomes. miR-103a-3p may represent a potential diagnostic biomarker and therapeutic target in patients with BC at different TNM stages. Notably, tumor metastasis is the main obstacle to prognosis in patients with BC. It was found that serum miR-103a-3p expression was markedly elevated in patients with BC and tumor metastasis, which furthers the understanding into the potential role of miR-103a-3p during BC metastasis.
Numerous studies have discussed the critical role of circulating miRNA expression as a non-invasive biomarker for early detection of numerous types of cancer (27–29), as serum samples are stable, and easily accessible for testing using RT-qPCR. However, some studies have recently reported that hemolysis during blood collection or sample processing can alter the levels of certain proposed miRNAs, such as miR-106a, miR-16 and miR-17 (30). To avoid having misleading results, it is vital to investigate whether hemolysis could affect the expression level of each miRNA in future studies. Notably, neither miR-103a-3p or U6 have been reported to be affected by hemolysis (30,31). Recently, circulating miR-103a-3p has become an important area as a potential non-invasive biomarker for the diagnosis and prognosis of multiple types of cancer. For example, Zhang et al (15) established a panel of seven miRNAs in plasma, including miR-103a-3p, to predict the occurrence of colorectal cancer. In addition, Weber et al (18) demonstrated that the combination of mesothelin and miR-103a-3p in plasma could mutually enhance the diagnostic performance in the detection of malignant mesothelioma. However, the diagnostic function of miR-103a-3p has not been elucidated in BC. In the present study, the results indicated that circulating serum miR-103a-3p expression could discriminate patients with BC from control subjects prior to surgery. In addition, miR-103a-3p expression had a high ability to distinguish patients with BC and metastasis from those without metastasis. Traditionally, some important predictive or prognostic biomarkers, including tumor size, tumor grade, lymph node involvement, ER status and HER2 status have been used for patients with BC (32). However, tumor tissue is required for the evaluation of all the aforementioned biomarkers, which limits their clinical applications. In the present study, miR-103a-3p was detected easily and stably in peripheral blood, and could be a new prognostic and predictive marker in patients with BC. In addition, miR-103a-3p may be a potential therapeutic target in patients with BC due to its association with tumor metastasis and stage. For patients with BC and a high expression level of miR-103a-3p, more precision treatment should be utilized to reduce the rate of tumor metastasis and improve patient prognosis as well.
There are some limitations in the present study. First, there is a lack of an external cohort to validate the diagnostic and prognostic ability of miR-103a-3p. In addition, the biological role of miR-103a-3p and its underlying mechanism during BC initiation and progression remain to be clarified.
In conclusion, the results from the present study demonstrate that miR-103a-3p was upregulated in patients with BC, and miR-103a-3p could act as a promising diagnostic and prognostic biomarker in patients with BC. Further studies are warranted to validate the diagnostic and prognostic value of miR-103a-3p with larger sample sizes, and to investigate the biological roles of miR-103a-3p in BC growth and metastasis.
Acknowledgements
Not applicable.
Funding
Funding: No funding was received.
Availability of data and materials
All data generated and/or analyzed during the study are available from the corresponding author upon reasonable request.
Author's contributions
HL and HBC conceived and designed the present study. QZB and WZ collected clinical samples and analyzed the data. HL and HBC wrote the manuscript. HL and HBC confirm the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
All enrolled patients provided written informed consent for the use if their tissue samples and clinical information in the study. The Ethics Committee of Cangzhou Central Hospital (Hebei, China; approval no. 20210013) and was conducted in accordance with the Declaration of Helsinki.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
|
Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2016. CA Cancer J Clin. 66:7–30. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
O'Shaughnessy J: Extending survival with chemotherapy in metastatic breast cancer. Oncologist. 10 (Suppl 3):20–29. 2005. View Article : Google Scholar : PubMed/NCBI | |
|
Cardoso F, Spence D, Mertz S, Corneliussen-James D, Sabelko K, Gralow J, Cardoso MJ, Peccatori F, Paonessa D, Benares A, et al: Global analysis of advanced/metastatic breast cancer: Decade report (2005–2015). Breast. 39:131–138. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Viale G: The current state of breast cancer classification. Ann Oncol. 23 (Suppl 10):x207–x210. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Bertoli G, Cava C and Castiglioni I: MicroRNAs: New biomarkers for diagnosis, prognosis, therapy prediction and therapeutic tools for breast cancer. Theranostics. 5:1122–1143. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Tutar Y: miRNA and cancer; computational and experimental approaches. Curr Pharm Biotechnol. 15:4292014. View Article : Google Scholar : PubMed/NCBI | |
|
Mishra S, Yadav T and Rani V: Exploring miRNA based approaches in cancer diagnostics and therapeutics. Crit Rev Oncol Hematol. 98:12–23. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Li B, Zhang F and Li H: miR-1225-5p inhibits non-small cell lung cancer cell proliferation, migration and invasion, and may be a prognostic biomarker. Exp Ther Med. 20:1722020. View Article : Google Scholar : PubMed/NCBI | |
|
Acunzo M, Romano G, Wernicke D and Croce CM: MicroRNA and cancer - a brief overview. Adv Biol Regul. 57:1–9. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Hamam R, Hamam D, Alsaleh KA, Kassem M, Zaher W, Alfayez M, Aldahmash A and Alajez NM: Circulating microRNAs in breast cancer: Novel diagnostic and prognostic biomarkers. Cell Death Dis. 8:e30452017. View Article : Google Scholar : PubMed/NCBI | |
|
Chong ZX, Yeap SK and Ho WY: Roles of circulating microRNA(s) in human breast cancer. Arch Biochem Biophys. 695:1085832020. View Article : Google Scholar : PubMed/NCBI | |
|
Ozawa PM, Jucoski TS, Vieira E, Carvalho TM, Malheiros D and Ribeiro EM: Liquid biopsy for breast cancer using extracellular vesicles and cell-free microRNAs as biomarkers. Transl Res. 223:40–60. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang ML, Sun WH, Wu HQ, Liu ZD and Wang P: Knockdown of microRNA-103a-3p inhibits the malignancy of thyroid cancer cells through Hippo signaling pathway by upregulating LATS1. Neoplasma. 67:1266–1278. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang H, Zhu M, Shan X, Zhou X, Wang T, Zhang J, Tao J, Cheng W, Chen G, Li J, et al: A panel of seven-miRNA signature in plasma as potential biomarker for colorectal cancer diagnosis. Gene. 687:246–254. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Hu X, Miao J, Zhang M, Wang X, Wang Z, Han J, Tong D and Huang C: miRNA-103a-3p promotes human gastric cancer cell proliferation by targeting and suppressing ATF7 in vitro. Mol Cells. 41:390–400. 2018.PubMed/NCBI | |
|
Zhang G, Chen Z, Zhang Y, Li T, Bao Y and Zhang S: Inhibition of miR-103a-3p suppresses the proliferation in oral squamous cell carcinoma cells via targeting RCAN1. Neoplasma. 67:461–472. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Weber DG, Casjens S, Johnen G, Bryk O, Raiko I, Pesch B, Kollmeier J, Bauer TT and Brüning T: Combination of miR-103a-3p and mesothelin improves the biomarker performance of malignant mesothelioma diagnosis. PLoS One. 9:e1144832014. View Article : Google Scholar : PubMed/NCBI | |
|
Fu M, Chen CW, Yang LQ, Yang WW, Du ZH, Li YR, Li SL and Ge XY: MicroRNA 103a 3p promotes metastasis by targeting TPD52 in salivary adenoid cystic carcinoma. Int J Oncol. 57:574–586. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Ge J, Mao L, Xu W, Fang W, Wang N, Ye D, Dong Z, Guan H and Guan C: miR-103a-3p suppresses cell proliferation and invasion by targeting tumor protein D52 in prostate cancer. J Invest Surg. 34:984–992. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Zhou J, Lei J, Wang J, Lian CL, Hua L, Yang LC and Wu SG: Validation of the 8th edition of the American Joint Committee on Cancer Pathological Prognostic Staging for young breast cancer patients. Aging (Albany NY). 12:7549–7560. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI | |
|
Scully OJ, Bay BH, Yip G and Yu Y: Breast cancer metastasis. Cancer Genomics Proteomics. 9:311–320. 2012.PubMed/NCBI | |
|
Koi Y, Tsutani Y, Nishiyama Y, Ueda D, Ibuki Y, Sasada S, Akita T, Masumoto N, Kadoya T, Yamamoto Y, et al: Predicting the presence of breast cancer using circulating small RNAs, including those in the extracellular vesicles. Cancer Sci. 111:2104–2115. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Li M, Zou X, Xia T, Wang T, Liu P, Zhou X, Wang S and Zhu W: A five-miRNA panel in plasma was identified for breast cancer diagnosis. Cancer Med. 8:7006–7017. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang L, Xu Y, Jin X, Wang Z, Wu Y, Zhao D, Chen G, Li D, Wang X, Cao H, et al: A circulating miRNA signature as a diagnostic biomarker for non-invasive early detection of breast cancer. Breast Cancer Res Treat. 154:423–434. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Valihrach L, Androvic P and Kubista M: Circulating miRNA analysis for cancer diagnostics and therapy. Mol Aspects Med. 72:1008252020. View Article : Google Scholar : PubMed/NCBI | |
|
Usuba W, Urabe F, Yamamoto Y, Matsuzaki J, Sasaki H, Ichikawa M, Takizawa S, Aoki Y, Niida S, Kato K, et al: Circulating miRNA panels for specific and early detection in bladder cancer. Cancer Sci. 110:408–419. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Zhu XL, Ren LF, Wang HP, Bai ZT, Zhang L, Meng WB, Zhu KX, Ding FH, Miao L, Yan J, et al: Plasma microRNAs as potential new biomarkers for early detection of early gastric cancer. World J Gastroenterol. 25:1580–1591. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Kirschner MB, Edelman JJ, Kao SC, Vallely MP, van Zandwijk N and Reid G: The impact of hemolysis on cell-free microRNA biomarkers. Front Genet. 4:942013. View Article : Google Scholar : PubMed/NCBI | |
|
Iempridee T, Wiwithaphon S, Piboonprai K, Pratedrat P, Khumkhrong P, Japrung D, Temisak S, Laiwejpithaya S, Chaopotong P and Dharakul T: Identification of reference genes for circulating long noncoding RNA analysis in serum of cervical cancer patients. FEBS Open Bio. 8:1844–1854. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Barzaman K, Karami J, Zarei Z, Hosseinzadeh A, Kazemi MH, Moradi-Kalbolandi S, Safari E and Farahmand L: Breast cancer: Biology, biomarkers, and treatments. Int Immunopharmacol. 84:1065352020. View Article : Google Scholar : PubMed/NCBI |
