Disease Markers

The Discovery of Nucleotide and Nucleic Acid-Associated Biomarkers and Cancer Personalized Therapies


Publishing date
01 May 2022
Status
Closed
Submission deadline
31 Dec 2021

Lead Editor

1Xi'an Jiaotong University, Xi'an, China

2Jinan University, Guangzhou, China

3Augusta University, Augusta, USA

4University of Chicago, Chicago, USA

5University of Virginia, Charlottesville, USA

This issue is now closed for submissions.

The Discovery of Nucleotide and Nucleic Acid-Associated Biomarkers and Cancer Personalized Therapies

This issue is now closed for submissions.

Description

For half a century, cancer physicians have mainly relied on three primary treatment modalities: surgery, radiation therapy, and chemotherapy. Over that time, enormous progress has been made in understanding cancer biology. Targeted anti-cancer drugs have emerged, and thousands of clinical trials have taught us how to best craft treatment combinations that improve clinical outcomes.

However, each case of cancer exhibits a unique pathological signature and can be highly heterogeneous in response to the targeted therapeutic agents. Therefore, precise therapy is essential to improve cancer treatment. The development of personalized and rationalized therapy relies on the identification of the specific biomarkers, the validation of therapeutic targets, and the development of drugs against the validated targets. Nucleotide and Nucleic acid-associated biomarkers cover nucleotides, circulating cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), mRNA, microRNAs (miRNAs), circular RNA (circRNA), exosomal RNAs (exRNAs), and long non-coding RNAs (IncRNAs) in tumor cells and serum. They are playing vital roles as diagnostic or therapeutic agents for cancer theranostics and can be used for cancer risk assessment, diagnosis, prognosis, and for the prediction of treatment efficacy and recurrence. In addition, the sensitive biomarkers can be also used as therapeutic targets for various tumors. Therefore, there is an urgent need to identify novel biomarkers and explore the biological functions of these biomarkers in order to greatly improve the clinical targeted therapies and immunotherapies of cancers.

This Special Issue aims to focus on the advances in the discoveries of nucleotide and nucleic acid-associated cancer biomarkers that inform treatment outcomes, including technologies and experimental approaches, as well as clinical validations and applications. We welcome the submission of original research and review articles.

Potential topics include but are not limited to the following:

  • New technologies or methods employed in characterizing molecular features of nucleotide and nucleic acid-associated biomarkers
  • cfDNA or ctDNA as biomarkers for cancer theranostics
  • circRNA, lncRNA, miRNA, or exRNAs as biomarkers for cancer theranostics
  • Regulatory roles of IncRNAs in tumorigenesis
  • The molecular mechanisms involved in the dysregualtion of nucleotide and nucleic acid-associated biomarkers in normal and pathological conditions
  • Nucleic acid-related biomarkers to predict the chemotherapy or immunotherapy response in cancer patients
  • Nucleotide regulation and metabolism in cancers
  • Other new emerging areas involving in nucleotide and nucleic acid-associated biomarkers, such as cross-analysis of biomarkers with nanomedicine, molecular imaging, omics data, etc.

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 1769635
  • - Research Article

Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining

Pan Wang | Wei-sheng Xiao | ... | Ye-ru Tan
  • Special Issue
  • - Volume 2021
  • - Article ID 7423101
  • - Research Article

[Retracted] To Explore the Haemostatic Effect of Compression Haemostasis Using an Ultrasonic Probe under the Guidance of Ultrasound after Radial Artery Puncture

Xianwei Jin | Qiaoling Weng | Jia Min
  • Special Issue
  • - Volume 2021
  • - Article ID 2385406
  • - Research Article

A Novel Ferroptosis-Related Gene Risk Signature for Predicting Prognosis and Immunotherapy Response in Gastric Cancer

Shi-jin Liu | Ya-bing Yang | ... | Jing-hua Pan
  • Special Issue
  • - Volume 2021
  • - Article ID 7190301
  • - Research Article

Identification of SOX6 and SOX12 as Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma: A Retrospective Study Based on TCGA Database

Xiao Lyu | Xi Zhang | ... | Xu-hui Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 4846683
  • - Research Article

Identification of a Novel Ferroptosis-Related Gene Prediction Model for Clinical Prognosis and Immunotherapy of Colorectal Cancer

Ya-bing Yang | Jia-xin Zhou | ... | Yun-long Pan
  • Special Issue
  • - Volume 2021
  • - Article ID 5917506
  • - Research Article

Comprehensive Analysis of the Immune and Prognostic Implication of MMP14 in Lung Cancer

Chun-long Zheng | Qiang Lu | ... | Gui-zhen Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5424623
  • - Research Article

MALAT-1 Expression Correlates with Prognosis in Non-Small-Cell Lung Carcinoma: A Systematic Review and Meta-analysis

Ran Ran | Jian-wei Jin | Wei-ping Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 4495489
  • - Research Article

Derivation of a Novel CIHI in Patients with Lung Adenocarcinoma for Estimating Tumor Microenvironment and Clinical Prognosis

Liang Zhou | Guangyan Xu | ... | Weimin Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5350232
  • - Research Article

Prognostic and Immunological Significance of CXCR2 in Ovarian Cancer: A Promising Target for Survival Outcome and Immunotherapeutic Response Assessment

Haizhou Ji | Mi Ren | ... | Yang Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 6144476
  • - Research Article

Construction and Comprehensive Analysis of a Stratification System Based on AGTRAP in Patients with Hepatocellular Carcinoma

Li Wang | Wenjun Zhang | ... | Jiaxi Lu
Disease Markers
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