Clinical relevance of circulating <scp>MACC</scp>1 and S100A4 transcripts for ovarian cancer

Link, Theresa; Kuhlmann, Jan Dominik; Kobelt, Dennis; Herrmann, Pia; Vassileva, Y.; Kramer, Michael; Frank, Kerstin; Göckenjan, Maren; Wimberger, Pauline; Stein, Ulrike

doi:10.1002/1878-0261.12484

Cited by 37 publications

(40 citation statements)

References 42 publications

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“… 23 , 25 − 38 Moreover, additive overexpression of the two genes strongly correlates with tumor aggressiveness. 27 , 30 , 32 Therefore, an accurate quantification of the expression levels of these two genes may provide insight into the molecular events leading to the onset of metastasis.…”

Section: Resultsmentioning

confidence: 99%

Quantification of mRNA Expression Using Single-Molecule Nanopore Sensing

et al. 2020

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RNA quantification methods are broadly used in life science research and in clinical diagnostics. Currently, real-time reverse transcription polymerase chain reaction (RT-qPCR) is the most common analytical tool for RNA quantification. However, in cases of rare transcripts or inhibiting contaminants in the sample, an extensive amplification could bias the copy number estimation, leading to quantification errors and false diagnosis. Single-molecule techniques may bypass amplification but commonly rely on fluorescence detection and probe hybridization, which introduces noise and limits multiplexing. Here, we introduce reverse transcription quantitative nanopore sensing (RT-qNP), an RNA quantification method that involves synthesis and single-molecule detection of gene-specific cDNAs without the need for purification or amplification. RT-qNP allows us to accurately quantify the relative expression of metastasis-associated genes MACC1 and S100A4 in nonmetastasizing and metastasizing human cell lines, even at levels for which RT-qPCR quantification produces uncertain results. We further demonstrate the versatility of the method by adapting it to quantify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA against a human reference gene. This internal reference circumvents the need for producing a calibration curve for each measurement, an imminent requirement in RT-qPCR experiments. In summary, we describe a general method to process complicated biological samples with minimal losses, adequate for direct nanopore sensing. Thus, harnessing the sensitivity of label-free single-molecule counting, RT-qNP can potentially detect minute expression levels of RNA biomarkers or viral infection in the early stages of disease and provide accurate amplification-free quantification.

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Section: Resultsmentioning

confidence: 99%

Quantification of mRNA Expression Using Single-Molecule Nanopore Sensing

et al. 2020

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“…[ 13 – 23 ] Especially, Huang et al study contained 2 independent clinical cohorts. [ 15 ] Nine studies were conducted in China, [ 13 – 16 , 18 – 22 ] 1 study was conducted in Germany [ 17 ] and 1 study was conducted in Bosnia and Herzegovina. [ 19 ] The expression of MACC1 was detected using immunohistonchemistry in 6 studies, [ 13 – 16 , 20 , 22 ] real-time quantitative polymerase chain reaction in 3 studies [ 17 , 18 , 21 ] and other methods in 2 studies.…”

Section: Resultsmentioning

confidence: 99%

“…[ 15 ] Nine studies were conducted in China, [ 13 – 16 , 18 – 22 ] 1 study was conducted in Germany [ 17 ] and 1 study was conducted in Bosnia and Herzegovina. [ 19 ] The expression of MACC1 was detected using immunohistonchemistry in 6 studies, [ 13 – 16 , 20 , 22 ] real-time quantitative polymerase chain reaction in 3 studies [ 17 , 18 , 21 ] and other methods in 2 studies. [ 23 ] The sample was obtained from tumor tissue in 9 studies [ 13 – 16 , 18 – 22 ] and preoperative serum in 2 studies.…”

Section: Resultsmentioning

confidence: 99%

“…[ 23 ] The sample was obtained from tumor tissue in 9 studies [ 13 – 16 , 18 – 22 ] and preoperative serum in 2 studies. [ 17 , 23 ] Four types of cancer were investigated, including ovarian cancer, [ 16 , 17 , 20 , 21 ] breast cancer, [ 15 , 19 , 23 ] cervical cancer [ 14 , 18 , 22 ] and endometrial cancer. [ 13 ] The FIGO stage was reported in all included studies.…”

Section: Resultsmentioning

confidence: 99%

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Prognostic significance of the expression of metastasis-associated in colon cancer-1 in gynecologic cancers and breast cancer

Wang

Fan

et al. 2021

Medicine

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Background: The prognostic role of the expression of metastasis-associated in colon cancer-1 (MACC1) in gynecologic cancers and breast cancer remains unclear. The aim of this systematic review and meta-analysis was to determine the prognostic significance of MACC1 expression in gynecologic cancers and breast cancer. Materials and methods: PubMed, Web of Science and Embase were comprehensively searched up to February 9, 2020. Studies focusing on the relationship between the expression of MACC1 and prognosis in gynecologic cancers and breast cancer were included into the analysis. Pooled hazard ratio (HR) or odd ratio with 95% confidence interval (CI) was used to estimate the prognostic value of the expression of MACC1. Results: A total of 1,811patients with gynecologic cancers or breast cancer were included into the analysis. Patients with high expression of MACC1 tended to suffer a shorter overall survival (HR = 2.76, 95%CI = 2.12–3.59, P < .01) and recurrence-free survival (HR = 2.37, 95%CI = 1.44–3.90, P < .01) compared to those with low expression of MACC1. High expression of MACC1 was significantly associated with worse tumor differentiation (P = .04), more advanced FIGO stage (P < .01) and earlier lymph node metastasis (P < .01) compared to low expression of MACC1. Conclusion: Compared to low expression of MACC1, high expression of MACC1 predicts a worse prognosis of gynecologic cancers and breast cancer. The expression of MACC1 can serve as a prognostic indicator of gynecologic cancers and breast cancer.

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“…In their approach, reverse transcription PCR and DMF technology were integrated for monitoring prostate cancer-related RNA from single-cell encapsulated droplets. ddPCR has been proven useful with numerous examples in the detection of circulating tumor DNA (ctDNA) in blood, urine and also solid tumor samples [26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41]. Joensson and coworkers integrated ddPCR with fluorescent color-coded Luminex®beads for multiplex detection of pathogen DNA biomarkers [42].…”

Section: Droplet-based Microfluidics For Genomicsmentioning

confidence: 99%

Recent Advances in Droplet-based Microfluidic Technologies for Biochemistry and Molecular Biology

2019

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Recently, droplet-based microfluidic systems have been widely used in various biochemical and molecular biological assays. Since this platform technique allows manipulation of large amounts of data and also provides absolute accuracy in comparison to conventional bioanalytical approaches, over the last decade a range of basic biochemical and molecular biological operations have been transferred to drop-based microfluidic formats. In this review, we introduce recent advances and examples of droplet-based microfluidic techniques that have been applied in biochemistry and molecular biology research including genomics, proteomics and cellomics. Their advantages and weaknesses in various applications are also comprehensively discussed here. The purpose of this review is to provide a new point of view and current status in droplet-based microfluidics to biochemists and molecular biologists. We hope that this review will accelerate communications between researchers who are working in droplet-based microfluidics, biochemistry and molecular biology.

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Clinical relevance of circulating MACC1 and S100A4 transcripts for ovarian cancer

Cited by 37 publications

References 42 publications

Quantification of mRNA Expression Using Single-Molecule Nanopore Sensing

Quantification of mRNA Expression Using Single-Molecule Nanopore Sensing

Prognostic significance of the expression of metastasis-associated in colon cancer-1 in gynecologic cancers and breast cancer

Recent Advances in Droplet-based Microfluidic Technologies for Biochemistry and Molecular Biology

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