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 2022
  • - Article ID 5994800
  • - Research Article

Comprehensive Analysis of Enhancer RNAs Identifies LINC00689 and ELFN1-AS1 as Novel Prognostic Biomarkers in Uveal Melanoma

Su Zhao | Hao Jiang | ... | Hao Gu
  • Special Issue
  • - Volume 2022
  • - Article ID 2639470
  • - Research Article

Screening of Potential Biomarkers in the Peripheral Serum for Steroid-Induced Osteonecrosis of the Femoral Head Based on WGCNA and Machine Learning Algorithms

Jian Zhang | Chi Huang | ... | Jianyu Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 8307975
  • - Research Article

[Retracted] Identification of Atrial Fibrillation-Related lncRNA Based on Bioinformatic Analysis

Liangzhen Xie | GuanShen Huang | ... | Yunjun Ruan
  • Special Issue
  • - Volume 2022
  • - Article ID 9899548
  • - Research Article

hsa_circ_0139402 Promotes Bladder Cancer Progression by Regulating hsa-miR-326/PAX8 Signaling

Bo Wei | Zunxian Wang | ... | Shuxia Ma
  • Special Issue
  • - Volume 2022
  • - Article ID 2687867
  • - Research Article

Comprehensive Analysis of CRIP1 in Patients with Ovarian Cancer, including ceRNA Network, Immune-Infiltration Pattern, and Clinical Benefit

Bingli Qi | Shikai Liu | ... | Ruixue Yan
  • Special Issue
  • - Volume 2022
  • - Article ID 5188006
  • - Research Article

Clinical Significance of Circulating Tumor Cells (CTCs) and Survivin on Predicting Prognosis in Thyroid Cancer Patients

Xun Weng | YangYang | Yujiao Cai
  • Special Issue
  • - Volume 2022
  • - Article ID 7631456
  • - Research Article

Identification of Driver Genes and Interaction Networks Related to Brain Metastasis in Breast Cancer Patients

Haojie Zhang | Xiaohong Wang | ... | Zhenlin Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 7994074
  • - Research Article

An Integrative Bioinformatic Analysis of Microbiome and Transcriptome for Predicting the Risk of Colon Adenocarcinoma

Jieyang Yu | Cuizhen Nong | ... | Jian Song
  • Special Issue
  • - Volume 2022
  • - Article ID 2602812
  • - Research Article

Identification of Novel Subtypes in Lung Adenocarcinoma: Evidence from Gene Set Variation Analysis in Tumor and Adjacent Nontumor Samples

Feng Li | Bin Wan | ... | Xiaoqing Li
  • Special Issue
  • - Volume 2022
  • - Article ID 9621701
  • - Research Article

Prognostic Value and Immune-Infiltration Pattern of KIF4A in Patients with Endometrial Carcinoma

Zhujuan Yang | Xiaoqing Shen | ... | Yi Li
Disease Markers
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Acceptance rate6%
Submission to final decision131 days
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CiteScore3.700
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