Literature DB >> 32400145

A New Era of Endoscopic Ultrasound-Guided Tissue Acquisition for Next-Generation Sequencing for Pancreatic Cancer.

Tae Jun Song1.   

Abstract

Entities:  

Year:  2020        PMID: 32400145      PMCID: PMC7234890          DOI: 10.5009/gnl20130

Source DB:  PubMed          Journal:  Gut Liver        ISSN: 1976-2283            Impact factor:   4.519


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Over the past decade, genomics and bioinformatics have markedly evolved and has allowed the identification of numerous biomarkers of many malignancies.1 Especially, the development of next-generation sequencing (NGS) has enabled the fast and precise identification of various mutations. Genomic data generated by NGS might eventually lead to the identification of novel biomarkers that can be used to screen for malignancy and to develop a new treatment.1 The role of NGS for both the development of new treatments and precision medicine is getting more and more attention.2 Precision medicine refers to the tailoring of therapy based on an individual patient’s genetics, lifestyle, and environment. Characterizing genomic mutation in tumors for predictive and prognostic purposes by NGS has become an essential part of precision medicine. The NGS can provide a comprehensive view of an individual malignancy, which can help real-time clinical decision-making. In patients with pancreatic cancer (PCa), precision medicine has not been well established. Notably, the possible reason for the poor prognosis of PCa is the lack of ideal biomarkers for early diagnosis and therapeutic stratification. Therefore, NGS was expected to provide a new turning point in the diagnosis and treatment of PCa. Recently, the studies on the role of NGS in the diagnosis of PCa have been rapidly growing. However, NGS for PCa is still in its infancy. Many potential targets have been identified, but no definitive biomarker was developed yet. Endoscopic ultrasound-guided tissue acquisition (EUS-TA) is the primary method to obtain tissue samples from PCa.2 Although EUS-TA has already been proven to be highly accurate in the diagnosis of PCa, inconclusive results are not uncommon in cytopathologic diagnosis. NGS may enable the sequencing of multiple genes in a limited number of samples obtained by EUS-TA for PCa and identification of potential mutations as diagnostic and therapeutic targets. About 90% of PCa are pancreatic ductal adenocarcinomas (PDAC), and the KRAS mutation has been found in over 95% of PDAC.3 So, many studies validated NGS using KRAS mutation as a reference gene. Until now, there has been no prospective study evaluating the success rate of NGS for PCa using EUS-TA samples. Several retrospective studies have reported that the success rates of NGS using EUS-TA samples are between 60% and 100%.4 Kameta et al.5 showed that KRAS mutations were detected in 26 of 27 PDAC (96%) and none of the 11 non-PDAC by NGS using EUS-TA samples. De Biase et al.6 founded out the KRAS mutations of 60 EUS-guided fine needle aspiration (EUS-FNA) samples and compared the results of Sanger sequencing, NGS, and allele specific locked nucleic acid quantitative polymerase chain reaction (PCR). They reported that the sensitivity for detecting the KRAS mutation was higher in NGS (73.7%) compared with those in Sanger sequencing (42.1%) or in allele specific locked nucleic acid quantitative PCR (52.8%). Several factors might influence the successful NGS for PCa using EUS-TA. For successful NGS, cellularity and tumor fraction in EUS-TA samples are essential. Samples with low cellularity and low tumor fraction have an increased risk of unsuccessful NGS.2 Generally, NGS requires a tumor fraction of ≥20%. Since PCa also contains stromal cells, hematopoietic cells and desmoplastic fibroblasts besides tumor cells, the NGS may be unsuccessful due to the possible contamination of these non-tumor cells. Although EUS-TA shows high diagnostic accuracy, the total amount of the obtained sample may be limited. Therefore, the acquisition of a large amount of samples with good quality is an integral part of NGS using EUS-TA. The most crucial issue regarding sampling for NGS may be an adequate selection of EUS-TA methods between EUS-FNA and EUS-guided fine needle biopsy (FNB). Theoretically, the EUS-FNB needle can obtain more samples and may be optimal for NGS. Several studies reported that the success rate of NGS was higher when using EUS-FNB. Larson et al.7 evaluated the success rate of NGS using 61 PCa samples, which were obtained by EUS-FNA (n=7) or EUS-FNB (n=54). They reported the success rate of NGS using EUS-FNB (70.4%) was higher than that of EUS-FNA (42.9%). Elhanafi et al.8 evaluated the adequacy of 167 EUS-TA samples of PCa for NGS. The success rate for NGS using EUS-FNB samples (90.9%) was higher than that using EUS-FNA (66.9%; p<0.05). This study showed EUS-FNB could provide enough samples for NGS compared with EUS-FNA, especially in tumors ≤3 cm. However, the available literature comparing EUS-FNA and EUS-FNB are from the retrospective studies with limited numbers of samples, requiring further prospective study. At present, different sizes of needles for EUS-TA are available from 19- to 25-gauge needles. Theoretically, larger needles can obtain a more significant amount of samples. However, there is no increase in diagnostic yield with larger needles compared with smaller needles.9 This result may be due to that larger needles may have more blood contamination compared with smaller needles, which may affect cytological diagnosis. Since large amounts of DNA or RNA are required for successful NGS, a larger needle may have a beneficial effect rather than a smaller needle for NGS. Park et al.10 performed this study to find out the optimal approach for NGS using EUS-TA. In this study, the yield of NGS for PCa using EUS-TA samples was 57.4%. They showed that the needle size for EUS-TA was an independent factor associated with successful NGS by multivariate analysis. It is significant in that this study showed EUS-TA with larger needles has advantages in NGS for PCa. However, because of the retrospective nature of this study, they used remaining fresh frozen samples, which were collected without intention for NGS after a clinical diagnostic examination. As a result, some of the patients had a too-small amount of DNA for NGS. DNA amounts of remaining samples obtained by 25-gauge needle were significantly lower than those obtained by 19- or 22-gauge needles. Thus, further prospective study using recently developed new EUS-FNB needles, which potentially increase tissue core procurement and reduce blood contamination is expected. The advances in NGS for PCa using EUS-TA samples will eventually improve the early diagnosis and treatment outcomes of this most lethal disease.
  10 in total

Review 1.  Next-Generation Sequencing in Pancreatic Cancer.

Authors:  Gong-Qing Shen; Essa M Aleassa; R Matthew Walsh; Gareth Morris-Stiff
Journal:  Pancreas       Date:  2019-07       Impact factor: 3.327

Review 2.  Needle size has only a limited effect on outcomes in EUS-guided fine needle aspiration: a systematic review and meta-analysis.

Authors:  Kajsa E Affolter; Robert L Schmidt; Anna P Matynia; Douglas G Adler; Rachel E Factor
Journal:  Dig Dis Sci       Date:  2012-10-21       Impact factor: 3.199

3.  Utility of Endoscopic Ultrasound-Guided Biopsy for Next-Generation Sequencing of Pancreatic Exocrine Malignancies.

Authors:  Brent K Larson; Richard Tuli; Laith H Jamil; Simon K Lo; Nan Deng; Andrew E Hendifar
Journal:  Pancreas       Date:  2018-09       Impact factor: 3.327

4.  The Role of Next-Generation Sequencing in the Cytologic Diagnosis of Pancreatic Lesions.

Authors:  Dario de Biase; Michela Visani; Giorgia Acquaviva; Adele Fornelli; Michele Masetti; Carlo Fabbri; Annalisa Pession; Giovanni Tallini
Journal:  Arch Pathol Lab Med       Date:  2018-04       Impact factor: 5.534

5.  Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes.

Authors:  Andrew V Biankin; Nicola Waddell; Karin S Kassahn; Marie-Claude Gingras; Lakshmi B Muthuswamy; Amber L Johns; David K Miller; Peter J Wilson; Ann-Marie Patch; Jianmin Wu; David K Chang; Mark J Cowley; Brooke B Gardiner; Sarah Song; Ivon Harliwong; Senel Idrisoglu; Craig Nourse; Ehsan Nourbakhsh; Suzanne Manning; Shivangi Wani; Milena Gongora; Marina Pajic; Christopher J Scarlett; Anthony J Gill; Andreia V Pinho; Ilse Rooman; Matthew Anderson; Oliver Holmes; Conrad Leonard; Darrin Taylor; Scott Wood; Qinying Xu; Katia Nones; J Lynn Fink; Angelika Christ; Tim Bruxner; Nicole Cloonan; Gabriel Kolle; Felicity Newell; Mark Pinese; R Scott Mead; Jeremy L Humphris; Warren Kaplan; Marc D Jones; Emily K Colvin; Adnan M Nagrial; Emily S Humphrey; Angela Chou; Venessa T Chin; Lorraine A Chantrill; Amanda Mawson; Jaswinder S Samra; James G Kench; Jessica A Lovell; Roger J Daly; Neil D Merrett; Christopher Toon; Krishna Epari; Nam Q Nguyen; Andrew Barbour; Nikolajs Zeps; Nipun Kakkar; Fengmei Zhao; Yuan Qing Wu; Min Wang; Donna M Muzny; William E Fisher; F Charles Brunicardi; Sally E Hodges; Jeffrey G Reid; Jennifer Drummond; Kyle Chang; Yi Han; Lora R Lewis; Huyen Dinh; Christian J Buhay; Timothy Beck; Lee Timms; Michelle Sam; Kimberly Begley; Andrew Brown; Deepa Pai; Ami Panchal; Nicholas Buchner; Richard De Borja; Robert E Denroche; Christina K Yung; Stefano Serra; Nicole Onetto; Debabrata Mukhopadhyay; Ming-Sound Tsao; Patricia A Shaw; Gloria M Petersen; Steven Gallinger; Ralph H Hruban; Anirban Maitra; Christine A Iacobuzio-Donahue; Richard D Schulick; Christopher L Wolfgang; Richard A Morgan; Rita T Lawlor; Paola Capelli; Vincenzo Corbo; Maria Scardoni; Giampaolo Tortora; Margaret A Tempero; Karen M Mann; Nancy A Jenkins; Pedro A Perez-Mancera; David J Adams; David A Largaespada; Lodewyk F A Wessels; Alistair G Rust; Lincoln D Stein; David A Tuveson; Neal G Copeland; Elizabeth A Musgrove; Aldo Scarpa; James R Eshleman; Thomas J Hudson; Robert L Sutherland; David A Wheeler; John V Pearson; John D McPherson; Richard A Gibbs; Sean M Grimmond
Journal:  Nature       Date:  2012-10-24       Impact factor: 49.962

6.  Comparison of endoscopic ultrasound tissue acquisition methods for genomic analysis of pancreatic cancer.

Authors:  Sherif Elhanafi; Nadim Mahmud; Norge Vergara; Michael L Kochman; Koushik K Das; Gregory G Ginsberg; Michael Rajala; Vinay Chandrasekhara
Journal:  J Gastroenterol Hepatol       Date:  2018-12-10       Impact factor: 4.369

7.  Next generation sequencing improves the accuracy of KRAS mutation analysis in endoscopic ultrasound fine needle aspiration pancreatic lesions.

Authors:  Dario de Biase; Michela Visani; Paola Baccarini; Anna Maria Polifemo; Antonella Maimone; Adele Fornelli; Adriana Giuliani; Nicola Zanini; Carlo Fabbri; Annalisa Pession; Giovanni Tallini
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

8.  Diagnosis of pancreatic lesions collected by endoscopic ultrasound-guided fine-needle aspiration using next-generation sequencing.

Authors:  Eri Kameta; Kazuya Sugimori; Takashi Kaneko; Tomohiro Ishii; Haruo Miwa; Takeshi Sato; Yasuaki Ishii; Soichiro Sue; Tomohiko Sasaki; Yuki Yamashita; Wataru Shibata; Naomichi Matsumoto; Shin Maeda
Journal:  Oncol Lett       Date:  2016-09-21       Impact factor: 2.967

Review 9.  New Era of Endoscopic Ultrasound-Guided Tissue Acquisition: Next-Generation Sequencing by Endoscopic Ultrasound-Guided Sampling for Pancreatic Cancer.

Authors:  Hiroshi Imaoka; Mitsuhito Sasaki; Yusuke Hashimoto; Kazuo Watanabe; Masafumi Ikeda
Journal:  J Clin Med       Date:  2019-08-05       Impact factor: 4.241

10.  Factors of Endoscopic Ultrasound-Guided Tissue Acquisition for Successful Next-Generation Sequencing in Pancreatic Ductal Adenocarcinoma.

Authors:  Jae Keun Park; Ji Hyeon Lee; Dong Hyo Noh; Joo Kyung Park; Kyu Taek Lee; Jong Kyun Lee; Kwang Hyuck Lee; Kee-Taek Jang; Juhee Cho
Journal:  Gut Liver       Date:  2020-05-15       Impact factor: 4.519

  10 in total

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