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The biomarkers of hyperprogressive disease in PD-1/PD-L1 blockage therapy
Xueping Wang1, Fang Wang1, Mengjun Zhong1
1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China.
Abstract:
Immune checkpoint inhibitors (ICIs), such as PD-1/PD-L1 antibodies (Abs) and anti-cytotoxic T lymphocyte antigen 4 (CTLA-4) Abs, are effective for patients with various cancers. However, low response rates to ICI monotherapies and even hyperprogressive disease (HPD) have limited the clinical application of ICIs. HPD is a novel pattern of progression, with an unexpected and fast progression in tumor volume and rate, poor survival of patients and early fatality. Considering the limitations of ICI due to HPD incidence, valid biomarkers are urgently needed to predict the occurrence of HPD and the efficacy of ICI. Here, we reviewed and summarized the known biomarkers of HPD, including tumor cell biomarkers, tumor microenvironment biomarkers, laboratory biomarkers and clinical indicators, which provide a potential effective approach for selecting patients sensitive to ICI cancer treatments.
Insights
Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can cause hyperprogressive disease (HPD). Identifying biomarkers for HPD and ICI efficacy is crucial for patient selection and improved outcomes.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Discovery
Background:
- Immune checkpoint inhibitors (ICIs), including PD-1/PD-L1 and CTLA-4 antibodies, are utilized in cancer therapy.
- Limited response rates and the occurrence of hyperprogressive disease (HPD) hinder the widespread clinical application of ICIs.
- HPD is characterized by rapid tumor progression, poor patient survival, and early mortality.
Purpose of the Study:
- To review and summarize known biomarkers associated with HPD.
- To identify potential biomarkers for predicting HPD occurrence and ICI efficacy.
- To facilitate the selection of patients who are most likely to benefit from ICI treatments.
Main Methods:
- Literature review and synthesis of existing research on HPD biomarkers.
- Categorization of biomarkers into tumor cell, tumor microenvironment, laboratory, and clinical indicators.
- Analysis of the predictive value of identified biomarkers for HPD and ICI response.
Main Results:
- Several categories of biomarkers, including tumor cell markers, tumor microenvironment factors, laboratory tests, and clinical indicators, have been associated with HPD.
- These biomarkers offer potential for predicting HPD and guiding ICI therapy selection.
- The identified biomarkers provide a basis for developing strategies to mitigate HPD and enhance ICI effectiveness.
Conclusions:
- Biomarkers are essential for predicting hyperprogressive disease (HPD) and immune checkpoint inhibitor (ICI) efficacy.
- A comprehensive understanding of various biomarker types can aid in patient stratification for cancer immunotherapy.
- Further research into these biomarkers can optimize the use of ICIs and improve patient outcomes in oncology.
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