Journal of Oncology

Exploration of Genetic and Genomic Features Associated with Tumor Immunity and Immunotherapy Response


Publishing date
01 Mar 2021
Status
Closed
Submission deadline
30 Oct 2020

Lead Editor
Guest Editors

1China Pharmaceutical University, Nanjing, China

2University Health Network, Ontario, Canada

3Shanghai Jiao Tong University, Shanghai, China

This issue is now closed for submissions.

Exploration of Genetic and Genomic Features Associated with Tumor Immunity and Immunotherapy Response

This issue is now closed for submissions.

Description

Recently, immunotherapeutic strategies, such as immune checkpoint blockade and Chimeric Antigen Receptor T-Cell (CAR-T), have achieved success in treating various cancers. In particular, immune checkpoint inhibitors, which inhibit CTLA-4 (cytotoxic T-lymphocyte-associated protein 4), PD-1 (programmed cell death protein 1), or PD-L1 (programmed cell death 1 ligand), have been used for the therapy of many advanced malignancies. Nevertheless, currently only a small proportion of cancer patients can respond to such therapies. To this end, a wealth of studies have identified certain genetic or genomic features that are associated with cancer immunotherapy response, such as PD-L1 expression, DNA mismatch repair deficiency or microsatellite instability, and tumor mutation burden. In addition, tumor heterogeneity and stemness may confer cancer immunotherapy resistance.

In general, immunotherapy often exhibits better efficiency for “hot” tumors (with high immune infiltration) than for “cold” tumors (with low immune infiltration). Therefore, to enhance the immunotherapy response in “cold” tumors, the combination of multiple treatment strategies to convert “cold” tumors into “hot” tumors has been explored, including the combination of different immunotherapies and the combination of immunotherapy with other therapeutic strategies such as chemotherapy, radiotherapy, and targeted therapies.

The aim of this Special Issue is to collate papers with a focus on uncovering new genetic and genomic features associated with tumor immunity and immunotherapy response, as well as predictive biomarkers or therapeutic targets for improving immunotherapy response. Both original research and comprehensive review papers are welcome. Especially welcome research involving at least two classes of data among computational, experimental, and clinical data. New perspectives and methods are also welcome.

Potential topics include but are not limited to the following:

  • New biomarkers associated with tumor immunity
  • New biomarkers for predicting immunotherapy response
  • New interventional targets for improving immunotherapy response
  • Discovery of neoantigens or molecular targets for cancer immunotherapy
  • Tumor immune microenvironment
  • Immunogenomics
  • Correlation between tumor immunity and immunological disease

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6698969
  • - Research Article

Assessment of Immune Status in Dynamics for Patients with Cancer Undergoing Immunotherapy

Bacinschi Xenia Elena | Laurentia Nicoleta Gales | ... | Bogdan Haineala
  • Special Issue
  • - Volume 2021
  • - Article ID 6649412
  • - Research Article

Analysis of Immune Gene Expression Subtypes Reveals Osteosarcoma Immune Heterogeneity

Ben Wan | Renxian Wang | ... | Dafu Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 6657013
  • - Research Article

Identification of a Prognostic Risk Signature of Kidney Renal Clear Cell Carcinoma Based on Regulating the Immune Response Pathway Exploration

Guangzhen Wu | Yingkun Xu | ... | Xiangyu Che
  • Special Issue
  • - Volume 2020
  • - Article ID 6645340
  • - Research Article

Recurrent Pleomorphic Adenoma of the Parotid Gland: Experience of 128 Patients with First Recurrence

Liyuan Dai | Weihua Lou | ... | Xu Zhang
  • Special Issue
  • - Volume 2020
  • - Article ID 8847687
  • - Research Article

Upregulated Long Noncoding RNA UCA1 Enhances Warburg Effect via miR-203/HK2 Axis in Esophagal Cancer

Hai-E Liu | Hao-Hong Shi | Xing-Jing Luo
  • Special Issue
  • - Volume 2020
  • - Article ID 2572048
  • - Research Article

Mining Database for the Expression and Clinical Significance of NF-κB Family in Hepatocellular Carcinoma

Xu Chen | Yufan Zhou | ... | Zhiming Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 2503790
  • - Research Article

Computational Identification of Tumor Suppressor Genes Based on Gene Expression Profiles in Normal and Cancerous Gastrointestinal Tissues

Qingrong Sun | Md. Nazim Uddin | ... | Maode Lai
Journal of Oncology
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