Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging
Background: Neoadjuvant chemotherapy (NAC) improves survival in responder patients. However, for non-responders, the treatment represents an ineffective exposure to chemotherapy and its potential adverse events. Predicting the response to treatment is a major issue in the therapeutic management of p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/14/1/21 |
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| author | Camille Mazza Vincent Gaydou Jean-Christophe Eymard Philippe Birembaut Valérie Untereiner Jean-François Côté Isabelle Brocheriou David Coeffic Philippe Villena Stéphane Larré Vincent Vuiblet Olivier Piot |
| author_facet | Camille Mazza Vincent Gaydou Jean-Christophe Eymard Philippe Birembaut Valérie Untereiner Jean-François Côté Isabelle Brocheriou David Coeffic Philippe Villena Stéphane Larré Vincent Vuiblet Olivier Piot |
| author_sort | Camille Mazza |
| collection | DOAJ |
| description | Background: Neoadjuvant chemotherapy (NAC) improves survival in responder patients. However, for non-responders, the treatment represents an ineffective exposure to chemotherapy and its potential adverse events. Predicting the response to treatment is a major issue in the therapeutic management of patients, particularly for patients with muscle-invasive bladder cancer. Methods: Tissue samples of trans-urethral resection of bladder tumor collected at the diagnosis time, were analyzed by mid-infrared imaging. A sequence of spectral data processing was implemented for automatic recognition of informative pixels and scoring each pixel according to a continuous scale (from 0 to 10) associated with the response to NAC. The ground truth status of the responder or non-responder was based on histopathological examination of the samples. Results: Although the TMA spots of tumors appeared histologically homogeneous, the infrared approach highlighted spectral heterogeneity. Both the quantification of this heterogeneity and the scoring of the NAC response at the pixel level were used to construct sensitivity and specificity maps from which decision criteria can be extracted to classify cancerous samples. Conclusions: This proof-of-concept appears as the first to evaluate the potential of the mid-infrared approach for the prediction of response to neoadjuvant chemotherapy in MIBC tissues. |
| first_indexed | 2024-03-10T03:48:49Z |
| format | Article |
| id | doaj.art-f16264b847974410af48099fbc6b363f |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T03:48:49Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-f16264b847974410af48099fbc6b363f2023-11-23T11:14:48ZengMDPI AGCancers2072-66942021-12-011412110.3390/cancers14010021Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-ImagingCamille Mazza0Vincent Gaydou1Jean-Christophe Eymard2Philippe Birembaut3Valérie Untereiner4Jean-François Côté5Isabelle Brocheriou6David Coeffic7Philippe Villena8Stéphane Larré9Vincent Vuiblet10Olivier Piot11Jean Godinot Institute, 51100 Reims, FranceBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, FranceJean Godinot Institute, 51100 Reims, FranceDepartment of Biopathology, University Hospital of Reims, 51100 Reims, FranceCellular and Tissular Imaging Platform (PICT), Université de Reims Champagne-Ardenne, 51100 Reims, FranceDepartment of Biopathology, Hôpital de la Pitié-Salpêtrière, APHP, 51100 Paris, FranceDepartment of Biopathology, Hôpital de la Pitié-Salpêtrière, APHP, 51100 Paris, FrancePolyclinique Courlancy, 51100 Reims, FrancePolyclinique Courlancy, 51100 Reims, FranceBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, FranceBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, FranceBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, FranceBackground: Neoadjuvant chemotherapy (NAC) improves survival in responder patients. However, for non-responders, the treatment represents an ineffective exposure to chemotherapy and its potential adverse events. Predicting the response to treatment is a major issue in the therapeutic management of patients, particularly for patients with muscle-invasive bladder cancer. Methods: Tissue samples of trans-urethral resection of bladder tumor collected at the diagnosis time, were analyzed by mid-infrared imaging. A sequence of spectral data processing was implemented for automatic recognition of informative pixels and scoring each pixel according to a continuous scale (from 0 to 10) associated with the response to NAC. The ground truth status of the responder or non-responder was based on histopathological examination of the samples. Results: Although the TMA spots of tumors appeared histologically homogeneous, the infrared approach highlighted spectral heterogeneity. Both the quantification of this heterogeneity and the scoring of the NAC response at the pixel level were used to construct sensitivity and specificity maps from which decision criteria can be extracted to classify cancerous samples. Conclusions: This proof-of-concept appears as the first to evaluate the potential of the mid-infrared approach for the prediction of response to neoadjuvant chemotherapy in MIBC tissues.https://www.mdpi.com/2072-6694/14/1/21muscle-invasive bladder cancerneoadjuvant chemotherapymid-infrared imagingchemometric algorithmspredictive response to treatment |
| spellingShingle | Camille Mazza Vincent Gaydou Jean-Christophe Eymard Philippe Birembaut Valérie Untereiner Jean-François Côté Isabelle Brocheriou David Coeffic Philippe Villena Stéphane Larré Vincent Vuiblet Olivier Piot Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging Cancers muscle-invasive bladder cancer neoadjuvant chemotherapy mid-infrared imaging chemometric algorithms predictive response to treatment |
| title | Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging |
| title_full | Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging |
| title_fullStr | Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging |
| title_full_unstemmed | Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging |
| title_short | Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging |
| title_sort | identification of neoadjuvant chemotherapy response in muscle invasive bladder cancer by fourier transform infrared micro imaging |
| topic | muscle-invasive bladder cancer neoadjuvant chemotherapy mid-infrared imaging chemometric algorithms predictive response to treatment |
| url | https://www.mdpi.com/2072-6694/14/1/21 |
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