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A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors
Response Evaluation Criteria in Solid Tumors (RECIST 1.1) is classical and popular for public. However, there are some problems recently. For example, partial response ranges from 30% to 99%, objective response is dichotomous, so there may be some heterogeneity. New metrics for evaluating the effica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797946/ https://www.ncbi.nlm.nih.gov/pubmed/35116438 http://dx.doi.org/10.21037/tcr-20-2547 |
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author | Xie, Xiaohui Li, Xin Yao, Wenxiu |
author_facet | Xie, Xiaohui Li, Xin Yao, Wenxiu |
author_sort | Xie, Xiaohui |
collection | PubMed |
description | Response Evaluation Criteria in Solid Tumors (RECIST 1.1) is classical and popular for public. However, there are some problems recently. For example, partial response ranges from 30% to 99%, objective response is dichotomous, so there may be some heterogeneity. New metrics for evaluating the efficacy have been investigating, such as early tumor shrinkage, time to response and depth of response (DpR). DpR has been used in hematologic malignancies and is considered as a predictor of efficiency. In solid tumors, DpR was firstly proposed by Mansmann et al. in metastatic colorectal cancer (mCRC) and defined as the percentage of tumor shrinkage, which is a continuous metric, and could avoid the information loss due to dichotomization of responses that has been widely applied to several kinds of solid tumors. Some authors have found associations between DpR and OS, DpR is a valuable surrogate endpoint for mCRC, metastatic breast cancer, metastatic melanoma and advanced pancreatic cancer. However, the predictive value of DpR is still uncertain in the research of lung cancer and gastric cancer. Which indicating that a mature and unified application standard has not yet been formed for DpR. This article summarizes researches on the DpR as a predictor of the long-term outcomes for solid tumors, it also discusses the challenges and limitations in the applications of DpR. |
format | Online Article Text |
id | pubmed-8797946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-87979462022-02-02 A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors Xie, Xiaohui Li, Xin Yao, Wenxiu Transl Cancer Res Review Article Response Evaluation Criteria in Solid Tumors (RECIST 1.1) is classical and popular for public. However, there are some problems recently. For example, partial response ranges from 30% to 99%, objective response is dichotomous, so there may be some heterogeneity. New metrics for evaluating the efficacy have been investigating, such as early tumor shrinkage, time to response and depth of response (DpR). DpR has been used in hematologic malignancies and is considered as a predictor of efficiency. In solid tumors, DpR was firstly proposed by Mansmann et al. in metastatic colorectal cancer (mCRC) and defined as the percentage of tumor shrinkage, which is a continuous metric, and could avoid the information loss due to dichotomization of responses that has been widely applied to several kinds of solid tumors. Some authors have found associations between DpR and OS, DpR is a valuable surrogate endpoint for mCRC, metastatic breast cancer, metastatic melanoma and advanced pancreatic cancer. However, the predictive value of DpR is still uncertain in the research of lung cancer and gastric cancer. Which indicating that a mature and unified application standard has not yet been formed for DpR. This article summarizes researches on the DpR as a predictor of the long-term outcomes for solid tumors, it also discusses the challenges and limitations in the applications of DpR. AME Publishing Company 2021-02 /pmc/articles/PMC8797946/ /pubmed/35116438 http://dx.doi.org/10.21037/tcr-20-2547 Text en 2021 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/. |
spellingShingle | Review Article Xie, Xiaohui Li, Xin Yao, Wenxiu A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title | A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title_full | A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title_fullStr | A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title_full_unstemmed | A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title_short | A narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
title_sort | narrative review: depth of response as a predictor of the long-term outcomes for solid tumors |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797946/ https://www.ncbi.nlm.nih.gov/pubmed/35116438 http://dx.doi.org/10.21037/tcr-20-2547 |
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