Unknown

Dataset Information

0

Stromal vapors for real-time molecular guidance of breast-conserving surgery.


ABSTRACT: Achieving radical tumor resection while preserving disease-free tissue during breast-conserving surgery (BCS) remains a challenge. Here, mass spectrometry technologies were used to discriminate stromal tissues reported to be altered surrounding breast tumors, and build tissue classifiers ex vivo. Additionally, we employed the approach for in vivo and real-time classification of breast pathology based on electrosurgical vapors. Breast-resected samples were obtained from patients undergoing surgery at MUMC+. The specimens were subsequently sampled ex vivo to generate electrosurgical vapors analyzed by rapid evaporative ionization mass spectrometry (REIMS). Tissues were processed for histopathology to assign tissue components to the mass spectral profiles. We collected a total of 689 ex vivo REIMS profiles from 72 patients which were analyzed using multivariate statistical analysis (principal component analysis-linear discriminant analysis). These profiles were classified as adipose, stromal and tumor tissues with 92.3% accuracy with a leave-one patient-out cross-validation. Tissue recognition using this ex vivo-built REIMS classification model was subsequently tested in vivo on electrosurgical vapors. Stromal and adipose tissues were classified during one BCS. Complementary ex vivo analyses were performed by REIMS and by desorption electrospray ionization mass spectrometry (DESI-MS) to study the potential of breast stroma to guide BCS. Tumor border stroma (TBS) and remote tumor stroma (RTS) were classified by REIMS and DESI-MS with 86.4% and 87.8% accuracy, respectively. We demonstrate the potential of stromal molecular alterations surrounding breast tumors to guide BCS in real-time using REIMS analysis of electrosurgical vapors.

SUBMITTER: Vaysse PM 

PROVIDER: S-EPMC7674429 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Stromal vapors for real-time molecular guidance of breast-conserving surgery.

Vaysse Pierre-Maxence PM   Kooreman Loes F S LFS   Engelen Sanne M E SME   Kremer Bernd B   Olde Damink Steven W M SWM   Heeren Ron M A RMA   Smidt Marjolein L ML   Porta Siegel Tiffany T  

Scientific reports 20201118 1


Achieving radical tumor resection while preserving disease-free tissue during breast-conserving surgery (BCS) remains a challenge. Here, mass spectrometry technologies were used to discriminate stromal tissues reported to be altered surrounding breast tumors, and build tissue classifiers ex vivo. Additionally, we employed the approach for in vivo and real-time classification of breast pathology based on electrosurgical vapors. Breast-resected samples were obtained from patients undergoing surger  ...[more]

Similar Datasets

| S-EPMC4975471 | biostudies-literature
| S-EPMC8187871 | biostudies-literature
| S-EPMC6158154 | biostudies-literature
| S-EPMC7210242 | biostudies-literature
| S-EPMC4636081 | biostudies-literature
| S-EPMC10137115 | biostudies-literature
| S-EPMC11002492 | biostudies-literature
| S-EPMC11364001 | biostudies-literature
| S-EPMC8650120 | biostudies-literature
| S-EPMC6291280 | biostudies-literature