The utilisation of digital droplet PCR to enhance the diagnosis of bladder and pancreaticobiliary tumours in cytology specimens

Digital droplet PCR (ddPCR) is a relatively new technique used to detect molecular alterations with unprecedented precision and accuracy. It is particularly useful for detecting point mutations and copy number variation (CNV) in samples with small amounts of target DNA.

[1]  E. Weiderpass,et al.  TERT Promoter Mutations as Simple and Non-Invasive Urinary Biomarkers for the Detection of Urothelial Bladder Cancer in a High-Risk Region , 2022, International journal of molecular sciences.

[2]  L. Layfield,et al.  Molecular features of pancreaticobiliary neoplasms: Implications for diagnosis, prognostication, and therapy selection , 2022, Diagnostic cytopathology.

[3]  N. Normanno,et al.  Genomic alterations in cholangiocarcinoma: clinical significance and relevance to therapy , 2022, Exploration of targeted anti-tumor therapy.

[4]  Jing Wu,et al.  Detection of BRAF V600E in Fine-Needle Aspiration Samples of Thyroid Nodules by Droplet Digital PCR , 2022, International journal of endocrinology.

[5]  Chung-Ji Liu,et al.  Droplet digital polymerase chain reaction for detection and quantification of cell-free DNA TP53 target somatic mutations in oral cancer , 2021, Cancer biomarkers : section A of Disease markers.

[6]  Á. Ayuso-Sacido,et al.  Clinical Utility of Liquid Biopsy-Based Actionable Mutations Detected via ddPCR , 2021, Biomedicines.

[7]  A. Brandes,et al.  Molecular alterations in pancreatic tumors , 2021, World journal of gastroenterology.

[8]  N. Jiang,et al.  The potential diagnosis role of TP53 mutation in advanced bladder cancer: A meta‐analysis , 2021, Journal of clinical laboratory analysis.

[9]  G. Byrnes,et al.  Development of Sensitive Droplet Digital PCR Assays for Detecting Urinary TERT Promoter Mutations as Non-Invasive Biomarkers for Detection of Urothelial Cancer , 2020, Cancers.

[10]  A. Maitra,et al.  Diagnostic value of digital droplet polymerase chain reaction and digital multiplexed detection of single nucleotide varients in pancreatic cytology specimens collected by EUS-guided FNA. , 2020, Gastrointestinal endoscopy.

[11]  Chun Chen,et al.  Urine biopsy technologies: Cancer and beyond , 2020, Theranostics.

[12]  M. Knowles,et al.  Monitoring of urothelial cancer disease status after treatment by digital droplet PCR liquid biopsy assays. , 2020, Urologic oncology.

[13]  P. Soares,et al.  Biomarkers for Bladder Cancer Diagnosis and Surveillance: A Comprehensive Review , 2020, Diagnostics.

[14]  Guangzhen Wu,et al.  Significance of TP53 mutation in bladder cancer disease progression and drug selection , 2019, PeerJ.

[15]  J. Barrett,et al.  Optimisation of robust singleplex and multiplex droplet digital PCR assays for high confidence mutation detection in circulating tumour DNA , 2019, Scientific Reports.

[16]  Shinsuke Suzuki,et al.  Comprehensive validation of liquid-based cytology specimens for next-generation sequencing in cancer genome analysis , 2019, PloS one.

[17]  C. Chai,et al.  YWHAZ amplification/overexpression defines aggressive bladder cancer and contributes to chemo‐/radio‐resistance by suppressing caspase‐mediated apoptosis , 2019, The Journal of pathology.

[18]  M. Pitman,et al.  Pancreatic Cytology. , 2018, Surgical pathology clinics.

[19]  Valérie Taly,et al.  Development of digital PCR molecular tests for clinical practice: principles, practical implementation and recommendations. , 2018, Annales de biologie clinique.

[20]  J. Bellmunt.  Stem-Like Signature Predicting Disease Progression in Early Stage Bladder Cancer. The Role of E2F3 and SOX4 , 2018, Biomedicines.

[21]  Yaxia Zhang,et al.  Molecular Testing of Non-Small Cell Lung Carcinoma Diagnosed by Endobronchial Ultrasound-Guided Transbronchial Fine-Needle Aspiration: The Cleveland Clinic Experience. , 2018, Archives of pathology & laboratory medicine.

[22]  D. García-Olmo,et al.  Current and Emerging Applications of Droplet Digital PCR in Oncology , 2017, Molecular Diagnosis & Therapy.

[23]  Mark W. Ball,et al.  The Landscape of Whole-genome Alterations and Pathologic Features in Genitourinary Malignancies: An Analysis of the Cancer Genome Atlas. , 2017, European urology focus.

[24]  H. Tseng,et al.  Digital PCR Improves Mutation Analysis in Pancreas Fine Needle Aspiration Biopsy Specimens , 2017, PloS one.

[25]  T. Ørntoft,et al.  Genomic Alterations in Liquid Biopsies from Patients with Bladder Cancer. , 2016, European urology.

[26]  P. Hui,et al.  Endoscopic ultrasound-guided fine-needle aspiration biopsy of autoimmune pancreatitis: diagnostic clues and pitfalls. , 2015, Journal of the American Society of Cytopathology.

[27]  J. Kench,et al.  Whole genomes redefine the mutational landscape of pancreatic cancer , 2015, Nature.

[28]  D. Link,et al.  Determining lower limits of detection of digital PCR assays for cancer-related gene mutations , 2014, Biomolecular detection and quantification.

[29]  M. Tsao,et al.  Sample Features Associated with Success Rates in Population-Based EGFR Mutation Testing , 2014, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

[30]  C. Sander,et al.  Prevalence and co-occurrence of actionable genomic alterations in high-grade bladder cancer. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[31]  A. Sepulveda,et al.  Evaluation of EGFR mutation status in cytology specimens: An institutional experience , 2013, Diagnostic cytopathology.

[32]  Benjamin E. Gross,et al.  The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. , 2012, Cancer discovery.

[33]  Alexandra S. Whale,et al.  Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation , 2012, Nucleic acids research.

[34]  Shengle Zhang,et al.  Accuracy of Cytology Specimen and Needle Core Biopsies for Detection of KRAS Mutation in Non-Small Cell Carcinoma: Comparison With Resection Specimen , 2011, World journal of oncology.

[35]  S. Mccarroll,et al.  Analyzing Copy Number Variation with Droplet Digital PCR. , 2018, Methods in molecular biology.

[36]  V. Taly,et al.  Droplet-Based Digital PCR: Application in Cancer Research. , 2017, Advances in clinical chemistry.

[37]  The Cancer Genome Atlas Research Network,et al.  Comprehensive molecular characterization of urothelial bladder carcinoma , 2014, Nature.