Rapid estimation of tumor cell percentage in brain tissue biopsy samples using inline cartridge extraction mass spectrometry

被引:14
作者
Pekov, Stanislav I. [1 ,2 ]
Bormotov, Denis S. [2 ]
Nikitin, Pavel V. [3 ]
Sorokin, Anatoly A. [2 ]
Shurkhay, Vsevolod A. [2 ,3 ]
Eliferov, Vasiliy A. [2 ]
Zavorotnyuk, Denis S. [2 ]
Potapov, Alexander A. [3 ]
Nikolaev, Eugene N. [1 ]
Popov, Igor A. [2 ]
机构
[1] Skolkovo Inst Sci & Technol, Skolkovo 143026, Moscow Region, Russia
[2] Moscow Inst Phys & Technol, Dolgoprudnyi 141701, Moscow Region, Russia
[3] NN Burdenko Natl Sci & Pract Ctr Neurosurg, Moscow 125047, Russia
基金
俄罗斯科学基金会;
关键词
Tumor cell percentage; Brain tumor; Ambient ionization; Inline cartridge extraction; LIPID-METABOLISM; AUTOPSY BRAIN; NEURONAVIGATION; REPRODUCIBILITY; GLIOBLASTOMA; INFILTRATION; IKNIFE; MS;
D O I
10.1007/s00216-021-03220-y
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Tumor cell percentage (TCP) is an essential characteristic of biopsy samples that directly affects the sensitivity of molecular testing in clinical practice. Apart from clarifying diagnoses, rapid evaluation of TCP combined with various neuronavigation systems can be used to support decision making in neurosurgery. It is known that ambient mass spectrometry makes it possible to rapidly distinguish healthy from malignant tissues. In connection with this, here we demonstrate the possibility of using non-imaging ambient mass spectrometry to evaluate TCP in glial tumor tissues with a high degree of confidence. Molecular profiles of histologically annotated human glioblastoma tissue samples were obtained using the inline cartridge extraction ambient mass spectrometry approach. XGBoost regressors were trained to evaluate tumor cell percentage. Using cross-validation, it was estimated that the TCP was determined by the regressors with a precision of approximately 90% using only low-resolution data. This result demonstrates that ambient mass spectrometry provides an accurate method todetermine TCP in dissected tissues even without implementing mass spectrometry imaging. The application of such techniques offers the possibility to automate routine tissue screening and TCP evaluation to boost the throughput of pathology laboratories.
引用
收藏
页码:2913 / 2922
页数:10
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