Literature DB >> 34260388

Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology.

Mary E King1, Jialing Zhang1, John Q Lin1, Kyana Y Garza1, Rachel J DeHoog1, Clara L Feider1, Alena Bensussan1, Marta Sans1, Anna Krieger1, Sunil Badal1, Michael F Keating1, Spencer Woody2, Sadhna Dhingra3, Wendong Yu3, Christopher Pirko4, Kirtan A Brahmbhatt4, George Van Buren4, William E Fisher4, James Suliburk5, Livia S Eberlin6.   

Abstract

Intraoperative delineation of tumor margins is critical for effective pancreatic cancer surgery. Yet, intraoperative frozen section analysis of tumor margins is a time-consuming and often challenging procedure that can yield confounding results due to histologic heterogeneity and tissue-processing artifacts. We have previously described the development of the MasSpec Pen technology as a handheld mass spectrometry-based device for nondestructive tissue analysis. Here, we evaluated the usefulness of the MasSpec Pen for intraoperative diagnosis of pancreatic ductal adenocarcinoma based on alterations in the metabolite and lipid profiles in in vivo and ex vivo tissues. We used the MasSpec Pen to analyze 157 banked human tissues, including pancreatic ductal adenocarcinoma, pancreatic, and bile duct tissues. Classification models generated from the molecular data yielded an overall agreement with pathology of 91.5%, sensitivity of 95.5%, and specificity of 89.7% for discriminating normal pancreas from cancer. We built a second classifier to distinguish bile duct from pancreatic cancer, achieving an overall accuracy of 95%, sensitivity of 92%, and specificity of 100%. We then translated the MasSpec Pen to the operative room and predicted on in vivo and ex vivo data acquired during 18 pancreatic surgeries, achieving 93.8% overall agreement with final postoperative pathology reports. Notably, when integrating banked tissue data with intraoperative data, an improved agreement of 100% was achieved. The result obtained demonstrate that the MasSpec Pen provides high predictive performance for tissue diagnosis and compatibility for intraoperative use, suggesting that the technology may be useful to guide surgical decision-making during pancreatic cancer surgeries.

Entities:  

Keywords:  MasSpec Pen; mass spectrometry; pancreatic cancer; surgical margin evaluation

Mesh:

Year:  2021        PMID: 34260388      PMCID: PMC8285949          DOI: 10.1073/pnas.2104411118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  39 in total

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2.  Whipple made simple for surgical pathologists: orientation, dissection, and sampling of pancreaticoduodenectomy specimens for a more practical and accurate evaluation of pancreatic, distal common bile duct, and ampullary tumors.

Authors:  N Volkan Adsay; Olca Basturk; Burcu Saka; Pelin Bagci; Denizhan Ozdemir; Serdar Balci; Juan M Sarmiento; David A Kooby; Charles Staley; Shishir K Maithel; Rhonda Everett; Jeanette D Cheng; Duangpeng Thirabanjasak; Donald W Weaver
Journal:  Am J Surg Pathol       Date:  2014-04       Impact factor: 6.394

3.  Picosecond Infrared Laser Desorption Mass Spectrometry Identifies Medulloblastoma Subgroups on Intrasurgical Timescales.

Authors:  Michael Woolman; Claudia M Kuzan-Fischer; Isabelle Ferry; Taira Kiyota; Betty Luu; Megan Wu; David G Munoz; Sunit Das; Ahmed Aman; Michael D Taylor; James T Rutka; Howard J Ginsberg; Arash Zarrine-Afsar
Journal:  Cancer Res       Date:  2019-03-19       Impact factor: 12.701

4.  Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system.

Authors:  Jialing Zhang; John Rector; John Q Lin; Jonathan H Young; Marta Sans; Nitesh Katta; Noah Giese; Wendong Yu; Chandandeep Nagi; James Suliburk; Jinsong Liu; Alena Bensussan; Rachel J DeHoog; Kyana Y Garza; Benjamin Ludolph; Anna G Sorace; Anum Syed; Aydin Zahedivash; Thomas E Milner; Livia S Eberlin
Journal:  Sci Transl Med       Date:  2017-09-06       Impact factor: 17.956

5.  Diagnosis of prostate cancer by desorption electrospray ionization mass spectrometric imaging of small metabolites and lipids.

Authors:  Shibdas Banerjee; Richard N Zare; Robert J Tibshirani; Christian A Kunder; Rosalie Nolley; Richard Fan; James D Brooks; Geoffrey A Sonn
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-14       Impact factor: 11.205

6.  Pancreatoduodenectomy for ductal adenocarcinoma: implications of positive margin on survival.

Authors:  Javairiah Fatima; Thomas Schnelldorfer; Joshua Barton; Christina M Wood; Heather J Wiste; Thomas C Smyrk; Lizhi Zhang; Michael G Sarr; David M Nagorney; Michael B Farnell
Journal:  Arch Surg       Date:  2010-02

7.  Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging.

Authors:  Livia S Eberlin; Robert J Tibshirani; Jialing Zhang; Teri A Longacre; Gerald J Berry; David B Bingham; Jeffrey A Norton; Richard N Zare; George A Poultsides
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

8.  Intraoperative tissue identification using rapid evaporative ionization mass spectrometry.

Authors:  Júlia Balog; László Sasi-Szabó; James Kinross; Matthew R Lewis; Laura J Muirhead; Kirill Veselkov; Reza Mirnezami; Balázs Dezső; László Damjanovich; Ara Darzi; Jeremy K Nicholson; Zoltán Takáts
Journal:  Sci Transl Med       Date:  2013-07-17       Impact factor: 17.956

9.  Prospective metabolomics study identifies potential novel blood metabolites associated with pancreatic cancer risk.

Authors:  Xiang Shu; Wei Zheng; Danxia Yu; Hong-Lan Li; Qing Lan; Gong Yang; Hui Cai; Xiao Ma; Nathaniel Rothman; Yu-Tang Gao; Wei Jia; Yong-Bing Xiang; Xiao-Ou Shu
Journal:  Int J Cancer       Date:  2018-07-31       Impact factor: 7.396

10.  In vivo Real-Time Mass Spectrometry for Guided Surgery Application.

Authors:  Benoit Fatou; Philippe Saudemont; Eric Leblanc; Denis Vinatier; Violette Mesdag; Maxence Wisztorski; Cristian Focsa; Michel Salzet; Michael Ziskind; Isabelle Fournier
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

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