Identification of @entity320 cells and lymphocyte subpopulations in lymph node XXXX by FTIR imaging histopathology.

@entity1 @entity5 @entity320 @entity3
UNASSIGNED: While early stages of @entity320 are usually cured by surgery, metastatic @entity320 are difficult to treat because the widely available options have low response rates. Careful and precise diagnosis and staging are essential to determine @entity1 's risk and to select appropriate treatments. Fortunately, the recent progress in immunotherapy is very encouraging. In this context, it is important to characterize the intratumoral infiltration of immune cells in each @entity1 , which is however not done routinely due to the lack of standardized methods. In this study, we used Fourier transform infrared (FTIR) imaging combined with multivariate statistical analyses to investigate non-metastatic and metastatic lymph nodes from @entity320 @entity1 . Our results show that the different cell types have different infrared spectral features allowing automated identification of these cell types. High recognition rates were obtained using a supervised partial least square discriminant analysis (PLS-DA) model. @entity320 cells were recognized with 87.1% sensitivity and 85.7% specificity, showing that FTIR spectroscopy has similar detection power as immunohistochemistry. Besides, FTIR imaging could also distinguish lymphocyte subpopulations (B and T cells). Finally, we investigated the changes in lymphocytes due to the presence of @entity3 . Interestingly, specific features of spectra of lymphocytes present in metastatic or @entity5 -free lymph nodes could be evidenced by PCA. A PLS-DA model was capable of predicting whether lymphocytes originated from invaded or non-invaded lymph nodes. These data demonstrate that FTIR imaging is capable to distinguish known and also novel biological features in @entity1 tissues, with potential practical relevance for histopathological diagnosis and biomarker assessment.
