Evidence map›Paper›PMID 35008184›Full record

ArticleCancers2021

Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging.

Camille Mazza, Vincent Gaydou, Jean-Christophe Eymard, Philippe Birembaut, Valérie Untereiner, Jean-François Côté, Isabelle Brocheriou, David Coeffic, Philippe Villena, Stéphane Larré and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Camille MazzaJean Godinot Institute, 51100 Reims, France.
Vincent GaydouBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, France.
Jean-Christophe EymardJean Godinot Institute, 51100 Reims, France.
Philippe BirembautDepartment of Biopathology, University Hospital of Reims, 51100 Reims, France.
Valérie UntereinerCellular and Tissular Imaging Platform (PICT), Université de Reims Champagne-Ardenne, 51100 Reims, France.ORCID 0000-0002-3360-0171
Jean-François CôtéDepartment of Biopathology, Hôpital de la Pitié-Salpêtrière, APHP, 51100 Paris, France.
Isabelle BrocheriouDepartment of Biopathology, Hôpital de la Pitié-Salpêtrière, APHP, 51100 Paris, France.
David CoefficPolyclinique Courlancy, 51100 Reims, France.
Philippe VillenaPolyclinique Courlancy, 51100 Reims, France.
Stéphane LarréBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, France.
Vincent VuibletBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, France.
Olivier PiotBioSpecT (Translational BioSpectroscopy) EA 7506, SFR Santé, Université de Reims Champagne-Ardenne, 51100 Reims, France.ORCID 0000-0001-7869-5242
Centre Hospitalier Universitaire de Reims · FRBioSpectroscopie TranslationnelleInstitut Jean Godinot · FRSorbonne Université · FRUniversité de Reims Champagne-Ardenne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeoadjuvant 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.

methodsTissue 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.

resultsAlthough 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.

conclusionsThis 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.

Indexed as

chemometric algorithmsmid-infrared imagingmuscle-invasive bladder cancerneoadjuvant chemotherapypredictive response to treatment

Identifiers

PMID35008184
PMCPMC8750189
OpenAlexW4200347002

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.