Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1 This meta-analysis aims to identify the diagnostic accuracy of mutations in the Kirsten Rat Sarcoma (KRAS) oncogene in the diagnosis of pancreatic ductal adenocarcinoma (PDAC). + 2394 word(s) 2394 2020-08-21 09:48:43 |
2 format correct Meta information modification 2394 2020-08-26 10:41:58 |

Video Upload Options

Do you have a full video?

Confirm

Are you sure to Delete?
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Patel, N.; Petrinic, T.; Silva, M.; Soonawalla, Z.; Reddy, S.; Gordon-Weeks, A. KRAS in diagnosis of PDAC. Encyclopedia. Available online: https://encyclopedia.pub/entry/1768 (accessed on 17 June 2024).
Patel N, Petrinic T, Silva M, Soonawalla Z, Reddy S, Gordon-Weeks A. KRAS in diagnosis of PDAC. Encyclopedia. Available at: https://encyclopedia.pub/entry/1768. Accessed June 17, 2024.
Patel, Nikhil, Tatjana Petrinic, Michael Silva, Zahir Soonawalla, Srikanth Reddy, Alex Gordon-Weeks. "KRAS in diagnosis of PDAC" Encyclopedia, https://encyclopedia.pub/entry/1768 (accessed June 17, 2024).
Patel, N., Petrinic, T., Silva, M., Soonawalla, Z., Reddy, S., & Gordon-Weeks, A. (2020, August 21). KRAS in diagnosis of PDAC. In Encyclopedia. https://encyclopedia.pub/entry/1768
Patel, Nikhil, et al. "KRAS in diagnosis of PDAC." Encyclopedia. Web. 21 August, 2020.
KRAS in diagnosis of PDAC
Edit

This meta-analysis aims to identify the diagnostic accuracy of mutations in the Kirsten Rat Sarcoma (KRAS) oncogene in the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The survival of PDAC remains poor often due to the fact that disease is advanced at diagnosis. We analysed 22 studies, with a total of 2156 patients, to identify if the detection of KRAS mutations from pancreatic exocrine secretions yields sufficient specificity and sensitivity to detect patients with PDAC amongst healthy individuals. The majority of the studies were retrospective, samples were obtained endoscopically or surgically, and included comparator populations of patients with chronic pancreatitis and pre-malignant pancreatic lesions (PanIN) as well as healthy controls. We performed several analyses to identify the diagnostic accuracy for PDAC among these patient populations. Our results highlighted that the diagnostic accuracy of KRAS mutation for PDAC was of variable sensitivity and specificity when compared with PanINs and chronic pancreatitis, but had a higher specificity among healthy individuals. The sensitivity of this test must be improved to prevent missing early PDAC or PanINs. This could be achieved with rigorous prospective cohort studies, in which high-risk patients with normal cross-sectional imaging undergo surveillance following KRAS mutation testing.

Pancreatic cancer KRAS mutation mucus diagnosis test

This meta-analysis aims to identify the diagnostic accuracy of mutations in the Kirsten Rat Sarcoma (KRAS) oncogene in the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The survival of PDAC remains poor often due to the fact that disease is advanced at diagnosis. We analysed 22 studies, with a total of 2156 patients, to identify if the detection of KRAS mutations from pancreatic exocrine secretions yields sufficient specificity and sensitivity to detect patients with PDAC amongst healthy individuals. The majority of the studies were retrospective, samples were obtained endoscopically or surgically, and included comparator populations of patients with chronic pancreatitis and pre-malignant pancreatic lesions (PanIN) as well as healthy controls. We performed several analyses to identify the diagnostic accuracy for PDAC among these patient populations. Our results highlighted that the diagnostic accuracy of KRAS mutation for PDAC was of variable sensitivity and specificity when compared with PanINs and chronic pancreatitis, but had a higher specificity among healthy individuals. The sensitivity of this test must be improved to prevent missing early PDAC or PanINs. This could be achieved with rigorous prospective cohort studies, in which high-risk patients with normal cross-sectional imaging undergo surveillance following KRAS mutation testing.

1. Introduction

Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis. Despite the enhanced understanding of PDAC biology [1], developments in pre-operative imaging [2], adjuvant/neoadjuvant chemotherapy [3][4], and image-guided surgery [5], there have been only marginal improvements in survival over the last two decades [6][7]. Resection of PDAC with clear surgical margins (R0) [8][9] and negative lymph nodes [10][11] predicts survivorship, indicating that early disease detection could improve outcomes. Currently, a significant proportion of patients present with advanced disease and so the development of diagnostic tests to identify pre-malignant or early-stage PDAC is vital.

PDAC develops through the step-wise accumulation of mutations in tumour suppressor and oncogenes [12] accompanied by histological progression from benign precursor lesions (PanIN) to invasive malignancy and metastases [13][14]. Mutations in the Kirsten Rat Sarcoma (KRAS) oncogene are present in over 90% of resected PDAC specimens[15][16]. Most of these mutations are in KRAS codon 12, with rare mutations in codons 13 and 61 [15]. KRAS mutation is one of the earliest genetic events in PDAC evolution [15], being present in PanIN lesions prior to the development of invasive disease. Distant, incurable metastases occur much later; between 10–15 years following the acquisition of the initial KRAS mutation[17], indicating that there is a long period between the development of PanIN lesions which are not visible using cross-sectional imaging and incurable disease. Identification of KRAS mutation in at-risk individuals could therefore serve as a useful screening tool for the detection of curative disease, or pre-invasive lesions prior to appearance using conventional imaging modalities.

The past decade has seen burgeoning interest in the detection of cell-free DNA (cfDNA) for early cancer diagnosis [18]. Routinely used techniques to detect KRAS mutation include restriction-fragment length polymorphism (RFLP) analysis [19], qPCR-based techniques [20] or next-generation sequencing [21]. These techniques are highly sensitive and able to detect mutant KRAS present in 1% of cells within PDAC tissue [22]. However, the detection of circulating KRAS-mutant cfDNA has a sensitivity for the diagnosis of PDAC of only 20–25% [23][24]. This may result from the relatively low mutant allele fraction seen in PDAC [25], or because a PDAC needs to be relatively advanced before sufficient mutant DNA is released into the circulation. Sampling of pancreatic exocrine secretions may offer higher sensitivity because PDAC originates from the ductal epithelium and therefore mutant KRAS might be expected to be present in pancreatic secretions earlier in PDAC evolution than the point at which it enters the blood. The specificity of KRAS mutant cfDNA detection in pancreatic exocrine secretions may also be higher than blood, as mutation detected in the blood may develop from cancers at sites other than the pancreas. These include cancers of the lung or colon which frequently display KRAS mutation [26][27].[28][29][30]

2. Discussion

In this studywe assessed the utility of detecting KRAS mutation in pancreatic secretions for the diagnosis of PDAC. If this technique can detect PDAC with adequate sensitivity and specificity then it may be applicable to screen high-risk individuals.

We identified a large number of studies that investigated KRAS mutation testing in the pancreatic secretions of PDAC patients, healthy controls and those with benign pancreatic pathology. First, it is clear that mutant KRAS is detectable in secretions from either the duodenum via standard endoscopy or the pancreaticobiliary system via ERCP. We did not identify sufficient studies comparing these approaches to enable understanding as to which provides optimal test accuracy. Studies using endoscopic methods to obtain samples used a single endoscopic modality alone; if sufficient samples could not be obtained via the single modality for a patient, that particular patient was excluded from the study. KRAS mutation was detected in PDAC patients, but also in a significant proportion of patients with pancreatitis or benign pancreatic tumours across multiple studies using a range of biochemical methodologies. Our findings show that KRAS mutation testing demonstrates a high degree of specificity once patients with pancreatitis or benign pancreatic tumours are excluded. This would, therefore, be applicable to a patient population at high risk of PDAC but with normal cross-sectional imaging. Several studies demonstrated that a high level of specificity was possible without appreciable loss of sensitivity [31][32]. High specificity is a useful feature of a screening test, as it ensures few patients receive unnecessary subsequent investigation or treatment that risk morbidity, or in the case of pancreatic resection, potential mortality.

Despite demonstrating promising specificity for the detection of PDAC in an otherwise healthy population, the sensitivity varied dramatically between studies, and in some, was too low to be of clinical use [33]. Heterogeneity of sensitivity estimates is an important finding and is likely multifactorial. Potential causes include variation in population demographics, differences in methods for exocrine secretion sampling or KRAS mutation detection and introduction of bias. We felt that the pooling of diagnostic accuracy estimates would have been misleading and methodologically unsound given the heterogeneity in study methodology and variability in diagnostic accuracy estimates between studies. Instead, we chose to display estimates as HSROC curves to aid understanding of estimate heterogeneity and identify potential links between this and study methodology.

Importantly, the study demonstrating the lowest sensitivity utilised DNA sequencing technology to detect KRAS mutation [34] and it is well recognised that this technique has a lower sensitivity than methods such as RFLP [35]. A second study demonstrating low sensitivity was that of Trumper et al. [36]; one of the few prospective studies identified. In this well-conducted study, the researchers went to lengths to reduce the false-positive rate and collected pancreatic juice following the injection of contrast into the biliary tree which diluted pancreatic secretions; both factors would have reduced test sensitivity. Finally, in the study by Kiesel et al. [37], which demonstrated high specificity but a sensitivity of only 54%, a real-time PCR-based mutation detection assay (QuARTS) was utilised. The sensitivity for this method is dependent upon a number of factors including PCR primer design, thermocycler settings, reagent chemistry and cut-off threshold. Any one or more of these factors may have contributed to the relatively low sensitivity demonstrated in this study.

Poor reporting, retrospective data collection, non-consecutive recruitment and analysis of a non-clinically relevant population with inflated disease prevalence all significantly over-estimate diagnostic test accuracy [38][39]. Several of the studies demonstrating the highest sensitivity fit several of these characteristics [40] and so are likely to have over-estimated test accuracy. Indeed, all included studies had a significantly higher disease prevalence (Table 2) than the general population, where approximately only four to six persons per 100,000 of the population will develop PDAC [41]. Therefore, its diagnostic performance in a population of high-risk individuals may be significantly lower than indicated here and this is obviously the predominant weakness of our approach. Further investigation in high-risk populations is therefore required.

Before being considered of clinical use for the screening of high-risk patients, test sensitivity would need to be improved to prevent false reassurance and miss underlying early PDAC or pre-malignant PanIN lesions. Sensitivity could be improved through a number of methods including repeated testing, improvements in pancreatic secretion capture and technological innovations that enable detection of mutation in lesser amounts of DNA. Because of the high rate of KRAS mutation in PDAC tumours and pre-neoplastic lesions, a combination of the perfect sampling method and mutation detection technology should allow for a sensitivity approaching 90% for discrimination between PDAC and the healthy state. Pancreatic secretion sampling is better suited to smaller, early pancreatic tumours or PanIN lesions, as duct obstruction prevents washout of pancreatic mucous and a reduction in the sensitivity with which mutant cfDNA is detected [33]. For the studies included here, there was relatively poor reporting of the PDAC disease stage, degree of ductal obstruction or anatomical location of the tumour within the pancreas and so it is difficult to understand the degree to which this affected sensitivity estimates.

Alternative methods for pancreatic secretion collection that may improve sensitivity include stool sampling, which has the benefit of remote sampling and is of a less invasive nature than endoscopic sampling. This method has a reported sensitivity of up to 82% for the detection of KRAS mutation in PDAC patients [42][43], however, it is likely to have a lower specificity given the propensity for mucus to be generated by benign or malignant colorectal polyps which also frequently harbour KRAS mutation. The development of more advanced KRAS mutant detection methods will also improve test sensitivity [44]. This is the case for droplet digital PCR [45], a method ideally suited to the detection of mutations existing in samples such as pancreatic secretions which contain low levels of nucleic acid and suffer from abundant protein contamination. Alternatively, incorporation of multiple genetic indicators such as panels of mutations, DNA methylation status [[43] or simultaneous tumour marker assessment [42]could be used to improve sensitivity.

Finally, we were able to assess the role of mutant KRAS testing for distinguishing between PDAC and benign or pre-malignant pancreatic tumours. Our data indicate that the test specificity is too low to be used alone for this purpose; a finding supported by analyses of tissue from benign pancreatic lesions, which frequently display KRAS mutation [34]. It is possible that patients with benign tumours and KRAS mutation from pancreatic exocrine secretions go on to develop PDAC, however, there was insufficient long-term follow-up in the included studies to enable this to be investigated.

Analysis of pancreatic exocrine secretions may be improved by the inclusion of other mutations known to be associated with particular tumour subtypes including GNAS mutations in intraductal papillary neoplasms of the bile ducts (IPNBs), or von Hippel -Lindau (VHL) mutation in serous cystic neoplasms [46]. Equally, in patients with a visible cyst on cross-sectional imaging, the use of endoscopic ultrasound and cyst aspiration as a means of sampling cfDNA is likely to be the best approach for differentiating between pre-malignant tumour subtypes [47][48][49]. Here, we chose to exclude studies utilising Endoscopic Ultrasound (EUS) as the technical expertise required to perform this investigation are unlikely to be available at the volume required for a screen-based investigative strategy and our primary interest was to determine whether KRAS mutation is detectable through simple endoscopic means. Furthermore, in the high-risk populations, because diabetes or pancreatitis is more likely rather than the presence of a cystic neoplasm on cross-sectional imaging due to family history, EUS is less likely to be diagnostically useful.

The limitations of our meta-analysis arise from the overall moderate risk of bias of the studies included, as well as the high level of heterogeneity between the studies which limits the amount of between-study comparisons that can be made. Furthermore, most studies were low power, retrospective in data collection and non-consecutive in recruitment which limits the conclusions that can be drawn. The analysis of publication bias is an important component of meta-analysis, however, robust methods for its analysis in diagnostic accuracy studies have not yet been developed, and as such, we were unable to assess for this [48]. It should also be recognised that there will be variation in the sensitivity/specificity of the test within each included study, resulting from demographic variation between subjects, disease stage, variability in the way the test is performed and the specific definition of a true positive test. Because individual patient-level data were not accessible, an understanding of this variation could not be reached in our analysis. A total of 19 articles were excluded because they were not published in English; these may have been high-quality studies that could have yielded interesting findings to contribute towards our meta-analysis. However, highly accurate translations would be required to ensure the studies can be reliably incorporated into our meta-analysis. Additionally, two studies were excluded because the full-text articles were not available. Despite our attempts at contacting the authors, we were not able to access these articles and therefore were unable to include potentially useful data into our study.

3. Conclusions

In summary, this meta-analysis indicates that the sensitivity of KRAS mutation testing in endoscopically sampled pancreatic mucus varies considerably and is not currently ready to be used as a diagnostic biomarker. This study identified that positive KRAS mutation has utility in discriminating PDAC from healthy controls due to its high specificity. There remains significant scope for future work in this field and the focus should be on performing rigorous prospective cohort studies, in which high-risk patients with normal cross-sectional imaging undergo surveillance following KRAS mutation testing.

References

  1. Fokas, E.; O’Neill, E.; Gordon-Weeks, A.; Mukherjee, S.; McKenna, W.G.; Muschel, R.J. Pancreatic ductal adenocarcinoma: From genetics to biology to radiobiology to oncoimmunology and all the way back to the clinic. Biochim. Biophys. Acta 2015, 1855, 61–82, doi:10.1016/j.bbcan.2014.12.001.
  2. Ghaneh, P.; Hanson, R.; Titman, A.; Lancaster, G.; Plumpton, C.; Lloyd-Williams, H.; Yeo, S.T.; Edwards, R.T.; Johnson, C.; Abu Hilal, M.; et al. PET-PANC: Multicentre prospective diagnostic accuracy and health economic analysis study of the impact of combined modality 18fluorine-2-fluoro-2-deoxy-d-glucose positron emission tomography with computed tomography scanning in the diagnosis and management of pancreatic cancer. Health Technol. Assess. 2018, 22, 1–114, doi:10.3310/hta22070.
  3. Klaiber, U.; Hackert, T.; Neoptolemos, J.P. Adjuvant treatment for pancreatic cancer. Transl. Gastroenterol. Hepatol. 2019, 4, 27.
  4. Chawla, A.; Ferrone, C.R. Neoadjuvant Therapy for Resectable Pancreatic Cancer: An Evolving Paradigm Shift. Front. Oncol. 2019, 9, 1085, doi:10.3389/fonc.2019.01085.
  5. Sirri, E.; Castro, F.A.; Kieschke, J.; Jansen, L.; Emrich, K.; Gondos, A.; Holleczek, B.; Katalinic, A.; Urbschat, I.; Vohmann, C.; et al. Recent Trends in Survival of Patients with Pancreatic Cancer in Germany and the United States. Pancreas 2016, 45, 908–914, doi:10.1097/MPA.0000000000000588.
  6. Saad, A.M.; Turk, T.; Al-Husseini, M.J.; Abdel-Rahman, O. Trends in pancreatic adenocarcinoma incidence and mortality in the United States in the last four decades; a SEER-based study. BMC Cancer 2018, 18, 688, doi:10.1186/s12885-018-4610-4.
  7. Ghaneh, P.; Kleeff, J.; Halloran, C.M.; Raraty, M.; Jackson, R.; Melling, J.; Jones, O.; Palmer, D.H.; Cox, T.F.; Smith, C.J.; et al. The Impact of Positive Resection Margins on Survival and Recurrence Following Resection and Adjuvant Chemotherapy for Pancreatic Ductal Adenocarcinoma. Ann. Surg. 2019, 269, 520–529, doi:10.1097/SLA.0000000000002557.
  8. Neoptolemos, J.P.; Stocken, D.D.; Dunn, J.A.; Almond, J.; Beger, H.G.; Pederzoli, P.; Bassi, C.; Dervenis, C.; Fernandez-Cruz, L.; Lacaine, F.; et al. Influence of resection margins on survival for patients with pancreatic cancer treated by adjuvant chemoradiation and/or chemotherapy in the ESPAC-1 randomized controlled trial. Ann. Surg. 2001, 234, 758–768, doi:10.1097/00000658-200112000-00007.
  9. Paniccia, A.; Hosokawa, P.; Henderson, W.; Schulick, R.D.; Edil, B.H.; McCarter, M.D.; Gajdos, C. Characteristics of 10-Year Survivors of Pancreatic Ductal Adenocarcinoma. JAMA Surg. 2015, 150, 701–710, doi:10.1001/jamasurg.2015.0668.
  10. Schnelldorfer, T.; Ware, A.L.; Sarr, M.G.; Smyrk, T.C.; Zhang, L.; Qin, R.; Gullerud, R.E.; Donohue, J.H.; Nagorney, D.M.; Farnell, M.B. Long-Term Survival After Pancreatoduodenectomy for Pancreatic Adenocarcinoma: Is Cure Possible? Ann. Surg. 2008, 247, 456–462, doi:10.1097/SLA.0b013e3181613142.
  11. Ying, H.; Dey, P.; Yao, W.; Kimmelman, A.C.; Draetta, G.F.; Maitra, A.; DePinho, R.A. Genetics and biology of pancreatic ductal adenocarcinoma. Genes Dev. 2016, 30, 355–385, doi:10.1101/gad.275776.115.
  12. Khan, M.A.; Azim, S.; Zubair, H.; Bhardwaj, A.; Patel, G.K.; Khushman, M.; Singh, S.; Singh, A.P. Molecular Drivers of Pancreatic Cancer Pathogenesis: Looking Inward to Move Forward. Int. J. Mol. Sci. 2017, 18, 779, doi:10.3390/ijms18040779.
  13. Hruban, R.H.; Takaori, K.; Klimstra, D.S.; Adsay, N.V.; Albores-Saavedra, J.; Biankin, A.V.; Biankin, S.A.; Compton, C.; Fukushima, N.; Furukawa, T.; et al. An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms. Am. J. Surg. Pathol. 2004, 28, 977–987, doi:10.1097/01.pas.0000126675.59108.80.
  14. Waters, A.M.; Der, C.J. KRAS: The Critical Driver and Therapeutic Target for Pancreatic Cancer. Cold Spring Harb. Perspect. Med. 2018, 8, a031435, doi:10.1101/cshperspect.a031435.
  15. The Cancer Genome Atlas Research Network. Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma. Cancer Cell 2017, 32, 185–203.e13, doi:10.1016/j.ccell.2017.07.007.
  16. Yachida, S.; Jones, S.; Bozic, I.; Antal, T.; Leary, R.; Fu, B.; Kamiyama, M.; Hruban, R.H.; Eshleman, J.R.; Nowak, M.A.; et al. Distant metastasis occurs late during the genetic evolution of pancreatic cancer. Nature 2010, 467, 1114–1117, doi:10.1038/nature09515.
  17. Urban, T.; Ricci, S.; Grange, J.-D.; Lacave, R.; Boudghene, F.; Breittmayer, F.; Languille, O.; Roland, J.; Bernaudin, J.-F. Detection of c-Ki-ras Mutation by PCR/RFLP Analysis and Diagnosis of Pancreatic Adenocarcinomas. J. Natl. Cancer Inst. 1993, 85, 2008–2012, doi:10.1093/jnci/85.24.2008.
  18. Bournet, B.; Buscail, C.; Muscari, F.; Cordelier, P.; Buscail, L. Targeting KRAS for diagnosis, prognosis, and treatment of pancreatic cancer: Hopes and realities. Eur. J. Cancer 2016, 54, 75–83, doi:10.1016/j.ejca.2015.11.012.
  19. Narayanan, V.; Konstantinov, S.R.; Peppelenbosch, M.P. Mutations in KRAS: Are they a valid biomarker for pancreatic ductal adenocarcinomas diagnosis? Transl. Cancer Res. 2017, 6, S72–S77, doi:10.21037/12234.
  20. Lang, A.H.; Drexel, H.; Geller-Rhomberg, S.; Stark, N.; Winder, T.; Geiger, K.; Muendlein, A. Optimized Allele-Specific Real-Time PCR Assays for the Detection of Common Mutations in KRAS and BRAF. J. Mol. Diagn. 2011, 13, 23–28, doi:10.1016/j.jmoldx.2010.11.007.
  21. Earl, J.; Garcia-Nieto, S.; Martinez-Avila, J.C.; Montans, J.; Sanjuanbenito, A.; Rodríguez-Garrote, M.; Lisa, E.; Mendía, E.; Lobo, E.; Malats, N.; et al. Circulating tumor cells (Ctc) and kras mutant circulating free Dna (cfdna) detection in peripheral blood as biomarkers in patients diagnosed with exocrine pancreatic cancer. BMC Cancer 2015, 15, 797, doi:10.1186/s12885-015-1779-7.
  22. Le Calvez-Kelm, F.; Foll, M.; Wozniak, M.B.; Delhomme, T.M.; Durand, G.; Chopard, P.; Pertesi, M.; Fabianova, E.; Adamcakova, Z.; Holcatova, I.; et al. KRAS mutations in blood circulating cell-free DNA: A pancreatic cancer case-control. Oncotarget 2016, 7, 78827–78840, doi:10.18632/oncotarget.12386.
  23. Wang, Z.-Y.; Ding, X.-Q.; Zhu, H.; Wang, R.-X.; Pan, X.-R.; Tong, J.-H. KRAS Mutant Allele Fraction in Circulating Cell-Free DNA Correlates with Clinical Stage in Pancreatic Cancer Patients. Front. Oncol. 2019, 9, 1295, doi:10.3389/fonc.2019.01295.
  24. Chan, T.L.; Zhao, W.; Project, C.G.; Leung, S.Y.; Yuen, S.T. BRAF and KRAS Mutations in Colorectal Hyperplastic Polyps and Serrated Adenomas. Cancer Res. 2003, 63, 4878–4881.
  25. Tímár, J. The clinical relevance of KRAS gene mutation in non-small-cell lung cancer. Curr. Opin. Oncol. 2014, 26, 138–144, doi:10.1097/CCO.0000000000000051.
  26. O’mahony, S.; Longfellow, M.; McMahon, M.J.; Axon, A.T.; Quirke, P. Detection of c-Ki-ras mutations in bile samples from patients with pancreatic and biliary cancers. Clin. Mol. Pathol. 1995, 48, M316–318, doi:10.1136/mp.48.6.m316.
  27. Iguchi, H.; Sugano, K.; Fukayama, N.; Ohkura, H.; Sadamoto, K.; Ohkoshi, K.; Seo, Y.; Tomoda, H.; Funakoshi, A.; Wakasugi, H. Analysis of Ki-ras codon 12 mutations in the duodenal juice of patients with pancreatic cancer. Gastroenterology 1996, 110, 221–226, doi:10.1053/gast.1996.v110.pm8536860.
  28. Uehara, H.; Nakaizumi, A.; Baba, M.; Iishi, H.; Tatsuta, M.; Kitamura, T.; Ohigashi, H.; Ishikawa, O.; Takenaka, A.; Ishiguro, S. Diagnosis of pancreatic cancer by K-ras point mutation and cytology of pancreatic juice. Am. J. Gastroenterol. 1996, 91, 1616–1621.
  29. Furuya, N.; Kawa, S.; Akamatsu, T.; Furihata, K. Long-term follow-up of patients with chronic pancreatitis and K-ras gene mutation detected in pancreatic juice. Gastroenterology 1997, 113, 593–598, doi:10.1053/gast.1997.v113.pm9247481.
  30. Fukushima, N.; Suzuki, M.; Fukayama, M. Analysis of K-ras oncogene mutation directly applied to atypical cell clusters on cytologic smear slides of bile and pancreatic juice. Pathol. Int. 1998, 48, 33–40, doi:10.1111/j.1440-1827.1998.tb03825.x.
  31. Yamaguchi, Y.; Watanabe, H.; Yrdiran, S.; Ohtsubo, K.; Motoo, Y.; Okai, T.; Sawabu, N. Detection of mutations of p53 tumor suppressor gene in pancreatic juice and its application to diagnosis of patients with pancreatic cancer: Comparison with K-ras mutation. Clin. Cancer Res. 1999, 5, 1147–1153.
  32. Futakawa, N.; Kimura, W.; Yamagata, S.; Zhao, B.; Ilsoo, H.; Inoue, T.; Sata, N.; Kawaguchi, Y.; Kubota, Y.; Muto, T. Significance of K-ras mutation and CEA level in pancreatic juice in the diagnosis of pancreatic cancer. J. Hepato-Biliary-Pancreat. Surg. 2000, 7, 63–71, doi:10.1007/s005340050156.
  33. Boadas, J.; Mora, J.; Urgell, E.; Puig, P.; Roca, M.; Cussó, X.; Capellà, G.; Lluís, F.; Farré, A. Clinical usefulness of K-ras gene mutation detection and cytology in pancreatic juice in the diagnosis and screening of pancreatic cancer. Eur. J. Gastroenterol. Hepatol. 2001, 13, 1153–1159, doi:10.1097/00042737-200110000-00006.
  34. Kisiel, J.B.; Raimondo, M.; Taylor, W.R.; Yab, T.C.; Mahoney, D.W.; Sun, Z.; Middha, S.; Baheti, S.; Zou, H.; Smyrk, T.C.; et al. New DNA Methylation Markers for Pancreatic Cancer: Discovery, Tissue Validation, and Pilot Testing in Pancreatic Juice. Clin. Cancer Res. 2015, 21, 4473–4481, doi:10.1158/1078-0432.CCR-14-2469.
  35. Lijmer, J.G.; Mol, B.W.; Heisterkamp, S.; Bonsel, G.J.; Prins, M.H.; van der Meulen, J.H.; Bossuyt, P.M. Empirical evidence of design-related bias in studies of diagnostic tests. JAMA 1999, 282, 1061–1066, doi:10.1001/jama.282.11.1061.
  36. Takano, S.; Fukasawa, M.; Maekawa, S.; Kadokura, M.; Miura, M.; Shindo, H.; Takahashi, E.; Sato, T.; Enomoto, N. Deep sequencing of cancer-related genes revealed GNAS mutations to be associated with intraductal papillary mucinous neoplasms and its main pancreatic duct dilation. PLoS ONE 2014, 9, e98718, doi:10.1371/journal.pone.0098718.
  37. Canto, M.I.; Harinck, F.; Hruban, R.H.; Offerhaus, G.J.; Poley, J.-W.; Kamel, I.; Nio, Y.; Schulick, R.S.; Bassi, C.; Kluijt, I.; et al. International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer. Gut 2013, 62, 339–347, doi:10.1136/gutjnl-2012-303108.
  38. Pourshams, A.; Sepanlou, S.G.; Ikuta, K.S.; Bisignano, C.; Safiri, S.; Roshandel, G.; Sharif, M.; Khatibian, M.; Fitzmaurice, C.; Nixon, M.R.; et al. The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol. Hepatol. 2019, 4, 934–947, doi:10.1016/S2468-1253(19)30347-4.
  39. Wang, X.; Wang, J.; Chen, F.; Zhong, Z.; Qi, L. Detection of K-ras gene mutations in feces by magnetic nanoprobe in patients with pancreatic cancer: A preliminary study. Exp. Med. 2018, 15, 527–531, doi:10.3892/etm.2017.5368.
  40. Wang, Y.; Yamaguchi, Y.; Watanabe, H.; Ohtsubo, K.; Motoo, Y.; Sawabu, N. Detection of p53 gene mutations in the supernatant of pancreatic juice and plasma from patients with pancreatic carcinomas. Pancreas 2004, 28, 13–19, doi:10.1097/00006676-200401000-00002.
  41. Kisiel, J.B.; Yab, T.C.; Taylor, W.R.; Chari, S.T.; Petersen, G.M.; Mahoney, D.W.; Ahlquist, D.A. Stool DNA testing for the detection of pancreatic cancer: Assessment of methylation marker candidates. Cancer 2012, 118, 2623–2631, doi:10.1002/cncr.26558.
  42. Choi, M.H.; Mejlænder-Andersen, E.; Manueldas, S.; El Jellas, K.; Steine, S.J.; Tjensvoll, K.; Sætran, H.A.; Knappskog, S.; Hoem, D.; Nordgård, O.; et al. Mutation analysis by deep sequencing of pancreatic juice from patients with pancreatic ductal adenocarcinoma. BMC Cancer 2019, 19, 11, doi:10.1186/s12885-018-5195-7.
  43. Taylor, S.C.; Laperriere, G.; Germain, H. Droplet Digital PCR versus qPCR for gene expression analysis with low abundant targets: From variable nonsense to publication quality data. Sci. Rep. 2017, 7, 1–8, doi:10.1038/s41598-017-02217-x.
  44. Reid, M.D.; Choi, H.; Balci, S.; Akkas, G.; Adsay, V. Serous cystic neoplasms of the pancreas: Clinicopathologic and molecular characteristics. Semin. Diagn. Pathol. 2014, 31, 475–483, doi:10.1053/j.semdp.2014.08.009.
  45. Nikiforova, M.N.; Khalid, A.; Fasanella, K.E.; McGrath, K.M.; Brand, R.E.; Chennat, J.S.; Slivka, A.; Zeh, H.J.; Zureikat, A.H.; Krasinskas, A.M.; et al. Integration of KRAS testing in the diagnosis of pancreatic cystic lesions: A clinical experience of 618 pancreatic cysts. Mod. Pathol. 2013, 26, 1478–1487, doi:10.1038/modpathol.2013.91.
  46. Singhi, A.D.; Nikiforova, M.N.; Fasanella, K.E.; McGrath, K.M.; Pai, R.K.; Ohori, N.P.; Bartholow, T.L.; Brand, R.E.; Chennat, J.S.; Lu, X.; et al. Preoperative GNAS and KRAS testing in the diagnosis of pancreatic mucinous cysts. Clin. Cancer Res. 2014, 20, 4381–4389, doi:10.1158/1078-0432.CCR-14-0513.
  47. Singhi, A.D.; McGrath, K.; Brand, R.E.; Khalid, A.; Zeh, H.J.; Chennat, J.S.; Fasanella, K.E.; Papachristou, G.I.; Slivka, A.; Bartlett, D.L.; et al. Preoperative next-generation sequencing of pancreatic cyst fluid is highly accurate in cyst classification and detection of advanced neoplasia. Gut 2018, 67, 2131–2141, doi:10.1136/gutjnl-2016-313586.
  48. van Enst, W.A.; Ochodo, E.; Scholten, R.J.; Hooft, L.; Leeflang, M.M. Investigation of publication bias in meta-analyses of diagnostic test accuracy: A meta-epidemiological study. BMC Med. Res. Methodol. 2014, 14, 70, doi:10.1186/1471-2288-14-70.
  49. Stroup, D.F.; Berlin, J.A.; Morton, S.C.; Olkin, I.; Williamson, G.D.; Rennie, D.; Moher, D.; Becker, B.J.; Sipe, T.A.; Thacker, S.B.; et al. Meta-analysis of Observational Studies in Epidemiology: A Proposal for Reporting. JAMA 2000, 283, 2008–2012, doi:10.1001/jama.283.15.2008.
More
Information
Subjects: Oncology
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register : , , , , ,
View Times: 311
Revisions: 2 times (View History)
Update Date: 26 Aug 2020
1000/1000
Video Production Service