Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging

• Published in: PLoS medicine Vol. 13; no. 8; p. e1002108
• Main Authors: Eberlin, Livia S, Margulis, Katherine, Planell-Mendez, Ivette, Zare, Richard N, Tibshirani, Robert, Longacre, Teri A, Jalali, Moe, Norton, Jeffrey A, Poultsides, George A
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.08.2016; Public Library of Science (PLoS)
• Subjects: Agreements; Bioengineering; Biology and Life Sciences; Cancer; Cancer surgery; Care and treatment; Clinical medicine; Excision (Surgery); Human health and pathology; Humans; Imaging; Ions; Life Sciences; Margins of Excision; Mass spectrometry; Medicine and Health Sciences; Methods; Molecular Imaging; Pancreas - pathology; Pancreas - surgery; Pancreatectomy - methods; Pancreatic cancer; Pancreatic Neoplasms - pathology; Pancreatic Neoplasms - surgery; Physical Sciences; Prospective Studies; Scientific imaging; Spectrometry, Mass, Electrospray Ionization; Studies; Surgery; Cancer Surgical Resection; Cancer
• ISSN: 1549-1676; 1549-1277; 1549-1676
• DOI: 10.1371/journal.pmed.1002108

Surgical resection with microscopically negative margins remains the main curative option for pancreatic cancer; however, in practice intraoperative delineation of resection margins is challenging. Ambient mass spectrometry imaging has emerged as a powerful technique for chemical imaging and real-time diagnosis of tissue samples. We applied an approach combining desorption electrospray ionization mass spectrometry imaging (DESI-MSI) with the least absolute shrinkage and selection operator (Lasso) statistical method to diagnose pancreatic tissue sections and prospectively evaluate surgical resection margins from pancreatic cancer surgery. Our methodology was developed and tested using 63 banked pancreatic cancer samples and 65 samples (tumor and specimen margins) collected prospectively during 32 pancreatectomies from February 27, 2013, to January 16, 2015. In total, mass spectra for 254,235 individual pixels were evaluated. When cross-validation was employed in the training set of samples, 98.1% agreement with histopathology was obtained. Using an independent set of samples, 98.6% agreement was achieved. We used a statistical approach to evaluate 177,727 mass spectra from samples with complex, mixed histology, achieving an agreement of 81%. The developed method showed agreement with frozen section evaluation of specimen margins in 24 of 32 surgical cases prospectively evaluated. In the remaining eight patients, margins were found to be positive by DESI-MSI/Lasso, but negative by frozen section analysis. The median overall survival after resection was only 10 mo for these eight patients as opposed to 26 mo for patients with negative margins by both techniques. This observation suggests that our method (as opposed to the standard method to date) was able to detect tumor involvement at the margin in patients who developed early recurrence. Nonetheless, a larger cohort of samples is needed to validate the findings described in this study. Careful evaluation of the long-term benefits to patients of the use of DESI-MSI for surgical margin evaluation is also needed to determine its value in clinical practice. Our findings provide evidence that the molecular information obtained by DESI-MSI/Lasso from pancreatic tissue samples has the potential to transform the evaluation of surgical specimens. With further development, we believe the described methodology could be routinely used for intraoperative surgical margin assessment of pancreatic cancer.