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  5. Data from Integration of Host-Related Signatures with Cancer Cell–Derived Predictors for the Optimal Management of Anticancer Chemotherapy

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Preprint
en
2023

Data from Integration of Host-Related Signatures with Cancer Cell–Derived Predictors for the Optimal Management of Anticancer Chemotherapy

0 Datasets

0 Files

en
2023
DOI: 10.1158/0008-5472.c.6501149.v1

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Guido Guido Kroemer
Guido Guido Kroemer

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Laurence Zitvogel
Oliver Kepp
Laetitia Aymeric
+5 more

Abstract

<div>Abstract<p>Current cancer management aims to integrate molecular signatures into the design of personalized therapies. Recent advances in “omics” done on tumor specimens have led to the identification of factors that either recognize cancers of dismal prognosis or pinpoint “druggable” signaling pathways, which can be interrupted by targeted therapies. However, accumulating evidence underscores the biological and clinical significance of immune predictors in several compartments (blood, serum, tumor) in a variety of malignancies. An additional aspect that has been overlooked is the bidirectional, tumor-host interaction during therapeutic intervention, suggesting that dynamic molecular, biochemical, and metabolic signatures should be developed in the future. We review immune parameters of prognostic or predictive value during cancer therapy, and highlight existing “descriptive-prognostic” and “functional-therapeutic” molecular signatures, with the hindsight of designing appropriate compensatory therapies. <i>Cancer Res; 70(23); 9538–43. ©2010 AACR</i>.</p></div>

How to cite this publication

Laurence Zitvogel, Oliver Kepp, Laetitia Aymeric, Yuting Ma, Clara Locher, Nicolas F. Delahaye, Fabrice André, Guido Guido Kroemer (2023). Data from Integration of Host-Related Signatures with Cancer Cell–Derived Predictors for the Optimal Management of Anticancer Chemotherapy. , DOI: https://doi.org/10.1158/0008-5472.c.6501149.v1.

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Publication Details

Type

Preprint

Year

2023

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1158/0008-5472.c.6501149.v1

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