Jump to content

User:Clfeider/sandbox

From Wikipedia, the free encyclopedia

Hello editors. I am requesting to edit a majority of this Wikipedia page on behalf of Genio Technologies, Inc., the company developing the MasSpec Pen technology, to better reflect the current state of development of the device and correct previous inaccuracies that have occurred on the page. Due to my COI with the company I will not be editing the page directly, and would greatly appreciate the help in editing the page. As I am new to editing, I am open to any discussions and requests from editors and I ask for patients from potential editors. Below are the desired edits:

Information to be added:

[edit]

Lead

[edit]

The MasSpec Pen, or the precìso MasSpec Pen System, is a mass spectrometry (MS) based cancer detection and and diagnosis system that can be used for ex vivo[1] and in vivo[2] tissue sample analysis. The system collects biological molecules from a tissue sample surface via a solid-liquid extraction mechanism and transports the molecules to a mass spectrometer for analysis. The composition of the extracted molecules can then be used to predict if the tissue sample analyzed contains cancerous cells using machine learning algorithms and statistical models. In early-stage clinical research, the MasSpec Pen system was able to distinguish various cancer tissues, including thyroid, breast, lung, and ovarian tumor tissues, from their normal counterparts with an overall accuracy of 96.3%.[1] A follow-up study in illustrating the use of the device for detection of serous ovarian carcinoma in ex vivo tissue biopsies allowed for the discrimination of normal and cancerous ovarian samples with a clinical sensitivity and specificity of 94.0% and 94.4%, respectively.[3]

NEW SECTION: Development History

[edit]

Livia S. Eberlin, Ph.D., an Assistant Professor of Chemistry at the University of Texas at Austin and MacArthur "Genius" Fellowship recipient, first reported the invention of the MasSpec Pen in 2017. Within her laboratory, the device has been used to analyze more than 800 ex vivo human tissue biopsies, including normal and cancerous brain, breast, lung, ovarian, pancreas, and thyroid samples.[4] The MasSpec Pen is currently being evaluated for use in oncology surgeries at the Texas Medical Center in Houston, Texas.[5]

The MasSpec Pen, which has been renamed as the precìso MasSpec Pen System, is currently being developed by Genio Technologies, Inc., a medical device and diagnostics company. The device is currently for research use only and is not been approved by the FDA as a medical device.

NEW SECTION: Principle of operation

[edit]

Ambient ionization mass spectrometry for disease diagnosis

[edit]

The MasSpec Pen technology is based on the principles of ambient ionization, in which ions are generated directly from a sample without need for extensive sample preparation or chromatographic separations.[6][7] The MasSpec Pen can further be categorized as a solid-liquid extraction based ambient ionization method, described as methods that utilize a solvent system to gently extract molecules from a sample surface that are subsequently analyzed by a mass spectrometer.[8] Desorption electrospray ionization (DESI) was the first liquid-based ambient ionization MS method.[6] DESI employed a spray of charged solvent droplets to bombard a sample surface to desorb and ionize molecules from the sample surface, which are then directed towards and analyzed by a mass spectrometer. DESI-MS and other solvent-based ambient ionization MS methods has been widely employed for the analysis of small molecules, primarily metabolites and lipids, directly from biological tissue specimens to determine their molecular composition and leverage the mass spectral data acquired for diagnostic purposes.[9][10][11][12] These methods have been deployed for the discrimination of normal and cancerous regions of tissue samples for many solid tumor indications, including breast[13][14], brain[15][16][17], prostate[18][19], ovarian[20][21], and colorectal[22], among others.[23][24][25] Multivariate statistical analysis methods are often utilized to generate statistical models from the mass spectral data acquired from direct analysis of tissue samples to distinguish between healthy and diseased tissues.

MasSpec Pen analysis mechanism

[edit]

The MasSpec Pen, initially described in 2017, is a solvent-based ambient ionization technique but differs from its predecessors due to the handheld nature of the device, allowing analysis of samples distant from the mass spectrometer in a geometry independent manner.[1] The MasSpec Pen used a probe that can manipulated by hand to direct the analysis. To use the system, the tip of the 'pen' is placed in contact with the surface to be sampled and the user triggers the initiation of a sampling procedure by pressing an integrated foot pedal. This signal a syringe pump to deliver a small aliquot of solvent through a polymer tube to a reservoir at the tip of the 'pen' that remains in contact with the sample. Analytes are then extracted from the sample into the solvent droplet by a solid-liquid extraction mechanism. After a 3 second extraction period, the droplet is aspirated into the mass spectrometer using the vacuum from the mass spectrometer as the vacuum source. Once inside the mass spectrometer, the analytes within the solvent droplet are de-solvated and ionized via an inlet ionization mechanism. The ionized molecules are then analyzed by the mass spectrometer analyzer and the mass spectrum resulting is generated.

Cancer diagnosis with the MasSpec Pen

[edit]

The MasSpec Pen was designed to assist in the detection of positive surgical margins during solid tumor debulking procedures to assist in the complete excision of cancer surgeries. The device was initially used to analyze 253 human tissue biopsies, including normal and cancerous breast, lung, ovary, and thyroid tissues.[1] The mass spectra obtained for each sample contained metabolites, lipids, and some proteins that were representative of the molecular composition of the tissue analyzed. The collected data for each tissue type was then used to develop statistical models that could discriminate between the normal and cancer samples of each tissue type. Leave-one-patient-out cross validation was used to evaluate the accuracy of the models for distinguishing the normal and cancer tissues based on their molecular profiles. The method allowed for diagnosis of the breast tissues with 95.6% accuracy, lung with 96.8% accuracy, and ovary with 94.7% accuracy. Statistical models also allowed for the discrimination of normal thyroid from papillary thyroid carcinomas with 97.8% accuracy and from follicular thyroid adenomas with 94.7% accuracy. The report also demonstrated the ability of the MasSpec Pen technology to detect cancer within regions of mixed tissue containing both normal and cancerous cells from an ovarian cancer sample. Finally, the authors demonstrated the use of this method for in vivo analysis of tumor tissues using an anesthetized murine model.

Performance of the MasSpec Pen for ovarian cancer diagnosis was further evaluated in a report published in 2019.[3] The authors analyzed 160 human ovarian tissue samples, including 78 normal ovary and 82 serous carcinomas, with the MasSpec Pen and developed classification models to discriminate between the normal and cancer samples. The model was able to distinguish between the normal and cancerous ovarian samples with 98.3%, 100.0%, and 92.3% overall accuracy on a training, validation, and test set of samples. Further, the report evaluated the ability of the MasSpec Pen system to distinguish ovarian cancer from fallopian tube and peritoneum tissue, two of the most common sites for ovarian cancer metastasis. Accuracies of 87.9% and 92.6% were achieved for the discrimination of cancer from fallopian tube and peritoneum tissues, respectively.

  1. ^ a b c d Zhang, Jialing; Rector, John; Lin, John Q.; Young, Jonathan H.; Sans, Marta; Katta, Nitesh; Giese, Noah; Yu, Wendong; Nagi, Chandandeep; Suliburk, James; Liu, Jinsong; Bensussan, Alena; DeHoog, Rachel J.; Garza, Kyana Y.; Ludolph, Benjamin; Sorace, Anna G.; Syed, Anum; Zahedivash, Aydin; Milner, Thomas E.; Eberlin, Livia S. (6 September 2017). "Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system". Science Translational Medicine. 9 (406): eaan3968. doi:10.1126/scitranslmed.aan3968.
  2. ^ Keating, Michael F.; Zhang, Jialing; Feider, Clara L.; Retailleau, Sascha; Reid, Robert; Antaris, Alexander; Hart, Bradly; Tan, Gina; Milner, Thomas E.; Miller, Kyle; Eberlin, Livia S. (2020-09-01). "Integrating the MasSpec Pen to the da Vinci Surgical System for In Vivo Tissue Analysis during a Robotic Assisted Porcine Surgery". Analytical Chemistry. 92 (17): 11535–11542. doi:10.1021/acs.analchem.0c02037.
  3. ^ a b Sans, Marta; Zhang, Jialing; Lin, John Q.; Feider, Clara L.; Giese, Noah; Breen, Michael T.; Sebastian, Katherine; Liu, Jinsong; Sood, Anil K.; Eberlin, Livia S. (2019-05-01). "Performance of the MasSpec Pen for Rapid Diagnosis of Ovarian Cancer". Clinical Chemistry. 65 (5): 674–683. doi:10.1373/clinchem.2018.299289.
  4. ^ American Chemical Society. "'MasSpec Pen' for accurate cancer detection during surgery". ScienceDaily. Retrieved 2020-12-03.
  5. ^ Hall, Christine. "Solutions: A Pen that Detects Cancer in Real Time". www.tmc.edu. Retrieved 3 December 2020.
  6. ^ a b Cooks, R. G. (2006-03-17). "Ambient Mass Spectrometry". Science. 311 (5767): 1566–1570. doi:10.1126/science.1119426. ISSN 0036-8075.
  7. ^ Domin, Marek; Cody, Robert, eds. (2014). Ambient Ionization Mass Spectrometry:. New Developments in Mass Spectrometry. Cambridge: Royal Society of Chemistry. doi:10.1039/9781782628026. ISBN 978-1-84973-926-9.
  8. ^ Laskin, Julia; Lanekoff, Ingela (2016-01-05). "Ambient Mass Spectrometry Imaging Using Direct Liquid Extraction Techniques". Analytical Chemistry. 88 (1): 52–73. doi:10.1021/acs.analchem.5b04188. ISSN 0003-2700. PMC 5767520. PMID 26566087.{{cite journal}}: CS1 maint: PMC format (link)
  9. ^ Eberlin, Livia S.; Ferreira, Christina R.; Dill, Allison L.; Ifa, Demian R.; Cooks, R. Graham (2011-11-19). "Desorption electrospray ionization mass spectrometry for lipid characterization and biological tissue imaging". Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1811 (11): 946–960. doi:10.1016/j.bbalip.2011.05.006. PMC 3205348. PMID 21645635.{{cite journal}}: CS1 maint: PMC format (link)
  10. ^ Cabral, Elaine C.; Ifa, Demian R. (2015), He, Lin (ed.), "DESI Imaging of Small Molecules in Biological Tissues", Mass Spectrometry Imaging of Small Molecules, vol. 1203, New York, NY: Springer New York, pp. 63–77, doi:10.1007/978-1-4939-1357-2_7, ISBN 978-1-4939-1356-5, retrieved 2020-12-03
  11. ^ Ifa, Demian R; Eberlin, Livia S (2016-01-01). "Ambient Ionization Mass Spectrometry for Cancer Diagnosis and Surgical Margin Evaluation". Clinical Chemistry. 62 (1): 111–123. doi:10.1373/clinchem.2014.237172. ISSN 0009-9147. PMC 5315420. PMID 26555455.{{cite journal}}: CS1 maint: PMC format (link)
  12. ^ Li, Na; Nie, Honggang; Jiang, Liping; Ruan, Guihua; Du, Fuyou; Liu, Huwei (2020-08-23). "Recent advances of ambient ionization mass spectrometry imaging in clinical research". Journal of Separation Science. 43 (15): 3146–3163. doi:10.1002/jssc.202000273. ISSN 1615-9306.
  13. ^ Porcari, Andreia M.; Zhang, Jialing; Garza, Kyana Y.; Rodrigues-Peres, Raquel M.; Lin, John Q.; Young, Jonathan H.; Tibshirani, Robert; Nagi, Chandandeep; Paiva, Geisilene R.; Carter, Stacey A.; Sarian, Luis Otávio (2018-10-02). "Multicenter Study Using Desorption-Electrospray-Ionization-Mass-Spectrometry Imaging for Breast-Cancer Diagnosis". Analytical Chemistry. 90 (19): 11324–11332. doi:10.1021/acs.analchem.8b01961. ISSN 0003-2700. PMC 7433752. PMID 30170496.{{cite journal}}: CS1 maint: PMC format (link)
  14. ^ Calligaris, David; Caragacianu, Diana; Liu, Xiaohui; Norton, Isaiah; Thompson, Christopher J.; Richardson, Andrea L.; Golshan, Mehra; Easterling, Michael L.; Santagata, Sandro; Dillon, Deborah A.; Jolesz, Ferenc A. (2014-10-21). "Application of desorption electrospray ionization mass spectrometry imaging in breast cancer margin analysis". Proceedings of the National Academy of Sciences. 111 (42): 15184–15189. doi:10.1073/pnas.1408129111. ISSN 0027-8424. PMC 4210338. PMID 25246570.{{cite journal}}: CS1 maint: PMC format (link)
  15. ^ Eberlin, L. S.; Norton, I.; Orringer, D.; Dunn, I. F.; Liu, X.; Ide, J. L.; Jarmusch, A. K.; Ligon, K. L.; Jolesz, F. A.; Golby, A. J.; Santagata, S. (2013-01-29). "Ambient mass spectrometry for the intraoperative molecular diagnosis of human brain tumors". Proceedings of the National Academy of Sciences. 110 (5): 1611–1616. doi:10.1073/pnas.1215687110. ISSN 0027-8424. PMC 3562800. PMID 23300285.{{cite journal}}: CS1 maint: PMC format (link)
  16. ^ Pirro, Valentina; Jarmusch, Alan K.; Ferreira, Christina R.; Cooks, R. Graham (2017), Wood, Paul (ed.), "Ambient Lipidomic Analysis of Brain Tissue Using Desorption Electrospray Ionization (DESI) Mass Spectrometry", Lipidomics, vol. 125, New York, NY: Springer New York, pp. 187–210, doi:10.1007/978-1-4939-6946-3_14, ISBN 978-1-4939-6944-9, retrieved 2020-12-03
  17. ^ Agar, Nathalie Y.R.; Golby, Alexandra J.; Ligon, Keith L.; Norton, Isaiah; Mohan, Vandana; Wiseman, Justin M.; Tannenbaum, Allen; Jolesz, Ferenc A. (2011-02-01). "Development of Stereotactic Mass Spectrometry for Brain Tumor Surgery". Neurosurgery. 68 (2): 280–290. doi:10.1227/neu.0b013e3181ff9cbb. ISSN 0148-396X. PMC 3678259. PMID 21135749.{{cite journal}}: CS1 maint: PMC format (link)
  18. ^ Kerian, K. S.; Jarmusch, A. K.; Pirro, V.; Koch, M. O.; Masterson, T. A.; Cheng, L.; Cooks, R. G. (2015-02-02). "Differentiation of prostate cancer from normal tissue in radical prostatectomy specimens by desorption electrospray ionization and touch spray ionization mass spectrometry". Analyst. 140 (4): 1090–1098. doi:10.1039/C4AN02039A. ISSN 1364-5528. PMC 4314440. PMID 25521825.{{cite journal}}: CS1 maint: PMC format (link)
  19. ^ Banerjee, Shibdas; Zare, Richard N.; Tibshirani, Robert J.; Kunder, Christian A.; Nolley, Rosalie; Fan, Richard; Brooks, James D.; Sonn, Geoffrey A. (2017-03-28). "Diagnosis of prostate cancer by desorption electrospray ionization mass spectrometric imaging of small metabolites and lipids". Proceedings of the National Academy of Sciences. 114 (13): 3334–3339. doi:10.1073/pnas.1700677114. ISSN 0027-8424. PMC 5380053. PMID 28292895.{{cite journal}}: CS1 maint: PMC format (link)
  20. ^ Sans, Marta; Gharpure, Kshipra; Tibshirani, Robert; Zhang, Jialing; Liang, Li; Liu, Jinsong; Young, Jonathan H.; Dood, Robert L.; Sood, Anil K.; Eberlin, Livia S. (2017-06-01). "Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging". Cancer Research. 77 (11): 2903–2913. doi:10.1158/0008-5472.CAN-16-3044. ISSN 0008-5472. PMC 5750373. PMID 28416487.{{cite journal}}: CS1 maint: PMC format (link)
  21. ^ Dória, Maria Luisa; McKenzie, James S.; Mroz, Anna; Phelps, David L.; Speller, Abigail; Rosini, Francesca; Strittmatter, Nicole; Golf, Ottmar; Veselkov, Kirill; Brown, Robert; Ghaem-Maghami, Sadaf (2016-12-15). "Epithelial ovarian carcinoma diagnosis by desorption electrospray ionization mass spectrometry imaging". Scientific Reports. 6 (1): 39219. doi:10.1038/srep39219. ISSN 2045-2322. PMC 5156945. PMID 27976698.{{cite journal}}: CS1 maint: PMC format (link)
  22. ^ Gerbig, Stefanie; Golf, Ottmar; Balog, Julia; Denes, Julia; Baranyai, Zsolt; Zarand, Attila; Raso, Erzsebet; Timar, Jozsef; Takats, Zoltan (2012-06-01). "Analysis of colorectal adenocarcinoma tissue by desorption electrospray ionization mass spectrometric imaging". Analytical and Bioanalytical Chemistry. 403 (8): 2315–2325. doi:10.1007/s00216-012-5841-x. ISSN 1618-2650.
  23. ^ DeHoog, Rachel J.; Zhang, Jialing; Alore, Elizabeth; Lin, John Q.; Yu, Wendong; Woody, Spencer; Almendariz, Christopher; Lin, Monica; Engelsman, Anton F.; Sidhu, Stan B.; Tibshirani, Robert (2019-10-22). "Preoperative metabolic classification of thyroid nodules using mass spectrometry imaging of fine-needle aspiration biopsies". Proceedings of the National Academy of Sciences. 116 (43): 21401–21408. doi:10.1073/pnas.1911333116. ISSN 0027-8424. PMC 6815148. PMID 31591199.{{cite journal}}: CS1 maint: PMC format (link)
  24. ^ Eberlin, Livia S.; Margulis, Katherine; Planell-Mendez, Ivette; Zare, Richard N.; Tibshirani, Robert; Longacre, Teri A.; Jalali, Moe; Norton, Jeffrey A.; Poultsides, George A. (2016-08-30). "Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging". PLOS Medicine. 13 (8): e1002108. doi:10.1371/journal.pmed.1002108. ISSN 1549-1676. PMC 5019340. PMID 27575375.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  25. ^ Eberlin, Livia S.; Tibshirani, Robert J.; Zhang, Jialing; Longacre, Teri A.; Berry, Gerald J.; Bingham, David B.; Norton, Jeffrey A.; Zare, Richard N.; Poultsides, George A. (2014-02-18). "Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging". Proceedings of the National Academy of Sciences. 111 (7): 2436–2441. doi:10.1073/pnas.1400274111. ISSN 0027-8424. PMC 3932851. PMID 24550265.{{cite journal}}: CS1 maint: PMC format (link)
Retrieved from "https://en.wikipedia.org/w/index.php?title=User:Clfeider/sandbox&oldid=992885764"