In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma
Background: Although there is consensus that the optimal safe margin is ≥ 5mm, obtaining clear margins (≥5 mm) intraoperatively seems to be the major challenge. We applied a molecular diagnostic method at the lipidomic level to determine the safe surgical resection margin of OSCC by desorption elect...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
|
Series: | EBioMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396421003224 |
id |
doaj-17f68190200648c689a8c20c036233eb |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xihu Yang, Dr. Xiaowei Song Xiaoxin Zhang Vishnu Shankar Shuai Wang Yan Yang Sheng Chen Lei Zhang Yanhong Ni, Dr. Richard N. Zare, Dr. Qingang Hu, Dr. |
spellingShingle |
Xihu Yang, Dr. Xiaowei Song Xiaoxin Zhang Vishnu Shankar Shuai Wang Yan Yang Sheng Chen Lei Zhang Yanhong Ni, Dr. Richard N. Zare, Dr. Qingang Hu, Dr. In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma EBioMedicine OSCC DESI-MSI Lipidomics Surgical margin Surgical resection distance |
author_facet |
Xihu Yang, Dr. Xiaowei Song Xiaoxin Zhang Vishnu Shankar Shuai Wang Yan Yang Sheng Chen Lei Zhang Yanhong Ni, Dr. Richard N. Zare, Dr. Qingang Hu, Dr. |
author_sort |
Xihu Yang, Dr. |
title |
In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
title_short |
In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
title_full |
In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
title_fullStr |
In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
title_full_unstemmed |
In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
title_sort |
in situ desi-msi lipidomic profiles of mucosal margin of oral squamous cell carcinoma |
publisher |
Elsevier |
series |
EBioMedicine |
issn |
2352-3964 |
publishDate |
2021-08-01 |
description |
Background: Although there is consensus that the optimal safe margin is ≥ 5mm, obtaining clear margins (≥5 mm) intraoperatively seems to be the major challenge. We applied a molecular diagnostic method at the lipidomic level to determine the safe surgical resection margin of OSCC by desorption electrospray ionisation mass spectrometry imaging (DESI-MSI). Methods: By overlaying mass spectrometry images with hematoxylin-eosin staining (H&E) from 18 recruited OSCC participants, the mass spectra of all pixels across the diagnosed tumour and continuous mucosal margin regions were extracted to serve as the training and validation datasets. A Lasso regression model was used to evaluate the test performance. Findings: By leave-one-out validation, the Lasso model achieved 88.6% accuracy in distinguishing between tumour and normal regions. To determine the safe surgical resection distance and margin status of OSCC, a set of 14 lipid ions that gradually decreased from tumour to normal tissue was assigned higher weight coefficients in the Lasso model. The safe surgical resection distance of OSCC was measured using the developed 14 lipid ion molecular diagnostic model for clinical reference. The overall accuracy of predicting tumours, positive margins, and negative margins was 92.6%. Interpretation: The spatial segmentation results based on our diagnostic model not only clearly delineated the tumour and normal tissue, but also distinguished the different status of surgical margins. Meanwhile, the safe surgical resection margin of OSCC on frozen sections can also be accurately measured using the developed diagnostic model. Funding: This study was supported by Nanjing Municipal Key Medical Laboratory Constructional Project Funding (since 2016) and the Centre of Nanjing Clinical Medicine Tumour (since 2014). |
topic |
OSCC DESI-MSI Lipidomics Surgical margin Surgical resection distance |
url |
http://www.sciencedirect.com/science/article/pii/S2352396421003224 |
work_keys_str_mv |
AT xihuyangdr insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT xiaoweisong insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT xiaoxinzhang insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT vishnushankar insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT shuaiwang insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT yanyang insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT shengchen insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT leizhang insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT yanhongnidr insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT richardnzaredr insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma AT qinganghudr insitudesimsilipidomicprofilesofmucosalmarginoforalsquamouscellcarcinoma |
_version_ |
1721207734424043520 |
spelling |
doaj-17f68190200648c689a8c20c036233eb2021-08-14T04:31:04ZengElsevierEBioMedicine2352-39642021-08-0170103529In situ DESI-MSI lipidomic profiles of mucosal margin of oral squamous cell carcinomaXihu Yang, Dr.0Xiaowei Song1Xiaoxin Zhang2Vishnu Shankar3Shuai Wang4Yan Yang5Sheng Chen6Lei Zhang7Yanhong Ni, Dr.8Richard N. Zare, Dr.9Qingang Hu, Dr.10Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 210008, China; Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, China; Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000, China; Department of Chemistry, Stanford University, Stanford, California 94305 USA; Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210000, ChinaDepartment of Chemistry, Fudan University, Shanghai, 200438, ChinaCentral Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaDepartment of Chemistry, Stanford University, Stanford, California, 94305, USADepartment of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaDepartment of Oral Pathology, Stomatological hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaDepartment of Oral Pathology, Stomatological hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaDepartment of Oral Pathology, Stomatological hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaCentral Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaDepartment of Chemistry, Fudan University, Shanghai, 200438, China; Department of Chemistry, Stanford University, Stanford, California, 94305, USADepartment of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210000, ChinaBackground: Although there is consensus that the optimal safe margin is ≥ 5mm, obtaining clear margins (≥5 mm) intraoperatively seems to be the major challenge. We applied a molecular diagnostic method at the lipidomic level to determine the safe surgical resection margin of OSCC by desorption electrospray ionisation mass spectrometry imaging (DESI-MSI). Methods: By overlaying mass spectrometry images with hematoxylin-eosin staining (H&E) from 18 recruited OSCC participants, the mass spectra of all pixels across the diagnosed tumour and continuous mucosal margin regions were extracted to serve as the training and validation datasets. A Lasso regression model was used to evaluate the test performance. Findings: By leave-one-out validation, the Lasso model achieved 88.6% accuracy in distinguishing between tumour and normal regions. To determine the safe surgical resection distance and margin status of OSCC, a set of 14 lipid ions that gradually decreased from tumour to normal tissue was assigned higher weight coefficients in the Lasso model. The safe surgical resection distance of OSCC was measured using the developed 14 lipid ion molecular diagnostic model for clinical reference. The overall accuracy of predicting tumours, positive margins, and negative margins was 92.6%. Interpretation: The spatial segmentation results based on our diagnostic model not only clearly delineated the tumour and normal tissue, but also distinguished the different status of surgical margins. Meanwhile, the safe surgical resection margin of OSCC on frozen sections can also be accurately measured using the developed diagnostic model. Funding: This study was supported by Nanjing Municipal Key Medical Laboratory Constructional Project Funding (since 2016) and the Centre of Nanjing Clinical Medicine Tumour (since 2014).http://www.sciencedirect.com/science/article/pii/S2352396421003224OSCCDESI-MSILipidomicsSurgical marginSurgical resection distance |