Literature DB >> 31687863

Beyond tumor mutational burden: potential and limitations in using exosomes to predict response to immunotherapy.

Jennifer Crow1, Glenson Samuel2, Andrew K Godwin1,3.   

Abstract

Introduction: Immune checkpoint blockade (ICB) has ushered in a new era of cancer therapeutics. The standard for determining which patients might benefit from ICB-based therapies is through the assessment of tumor mutational burden using formalin-fixed paraffin-embedded (FFPE) tumor tissue samples; however, this strategy is imperfect. The discovery of exosomal PD-L1 has placed these nano-vesicles to the forefront of immunotherapy biomarker development. Exosomes and other extracellular vesicles contain proteins and nucleic acids specific to their cell of origin and their production is increased in disease state such as cancer and can be isolated from most types of liquid biopsy. Given this opportunity, a large-scale bioengineering effort has centered on developing technologies capable of isolating distinct subsets of exosomes and interrogating their content for biomarker discovery.Areas covered: This review investigates the current state of small extracellular vesicles (sEVs), focusing on exosomes, as they relate to biomarkers of IBC. We will discuss technologies being developed to both capture and evaluate exosomal cargo and as some of the challenges they face.Expert opinion: The advancement of microfluidic technologies, along with rapidly evolving methodologies in RNAseq and proteomics, are making the potential of utilizing exosomes as prognostic and diagnostic biomarkers of ICB into a likely reality.

Entities:  

Keywords:  Extracellular vesicle; exosomes; tumor mutational burden

Mesh:

Substances:

Year:  2019        PMID: 31687863     DOI: 10.1080/14737159.2020.1688144

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  9 in total

1.  Development and validation of an MRI-based nomogram for the preoperative prediction of tumor mutational burden in lower-grade gliomas.

Authors:  En-Tao Liu; Shuqin Zhou; Yingwen Li; Siwei Zhang; Zelan Ma; Junbiao Guo; Lei Guo; Yue Zhang; Quanlai Guo; Li Xu
Journal:  Quant Imaging Med Surg       Date:  2022-03

2.  Cuproptosis-related lncRNAs predict the prognosis and immune response in hepatocellular carcinoma.

Authors:  Qiongyue Zhang; Yan Huang; Yu Xia; Yumeng Liu; Jianhe Gan
Journal:  Clin Exp Med       Date:  2022-09-24       Impact factor: 5.057

3.  Editorial: Molecular Characterization of Thyroid Lesions in the Era of "Next-Generation" Techniques.

Authors:  Claudio Bellevicine; Alessia Ciarrocchi; Alex Friedlaender; Umberto Malapelle; Dario de Biase
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-29       Impact factor: 6.055

4.  Ewing sarcoma family of tumors-derived small extracellular vesicle proteomics identify potential clinical biomarkers.

Authors:  Glenson Samuel; Jennifer Crow; Jon B Klein; Michael L Merchant; Emily Nissen; Devin C Koestler; Kris Laurence; Xiaobo Liang; Kathleen Neville; Vincent Staggs; Atif Ahmed; Safinur Atay; Andrew K Godwin
Journal:  Oncotarget       Date:  2020-08-04

5.  Anti-PD-1 Therapy Response Predicted by the Combination of Exosomal PD-L1 and CD28.

Authors:  Chaoxu Zhang; Yibo Fan; Xiaofang Che; Min Zhang; Zhi Li; Ce Li; Shuo Wang; Ti Wen; Kezuo Hou; Xinye Shao; Yunpeng Liu; Xiujuan Qu
Journal:  Front Oncol       Date:  2020-05-27       Impact factor: 6.244

Review 6.  Bioactive DNA from extracellular vesicles and particles.

Authors:  Ethan Z Malkin; Scott V Bratman
Journal:  Cell Death Dis       Date:  2020-07-27       Impact factor: 8.469

Review 7.  Exosomes and Their Role in Cancer Progression.

Authors:  Yang Liu; Ke Shi; Yong Chen; Xianrui Wu; Zheng Chen; Ke Cao; Yongguang Tao; Xiang Chen; Junlin Liao; Jianda Zhou
Journal:  Front Oncol       Date:  2021-03-22       Impact factor: 6.244

Review 8.  Exosomal PD-L1: New Insights Into Tumor Immune Escape Mechanisms and Therapeutic Strategies.

Authors:  Kaijian Zhou; Shu Guo; Fei Li; Qiang Sun; Guoxin Liang
Journal:  Front Cell Dev Biol       Date:  2020-10-15

9.  Tumor Mutation Burden Predicts Relapse in Papillary Thyroid Carcinoma With Changes in Genes and Immune Microenvironment.

Authors:  Mengli Guo; Zhen Chen; Yayi Li; Sijin Li; Fei Shen; Xiaoxiong Gan; Jianhua Feng; Wensong Cai; Qingzhi Liu; Bo Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-23       Impact factor: 5.555

  9 in total

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