Next Generation Sequencing Analyses in Cancer Research, Diagnosis and Treatment

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Oncology".

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 4439

Special Issue Editor


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Guest Editor
Istituto Nazionale Genetica Molecolare “Romeo ed Enrica Invernizzi”, Via Francesco Sforza 35, 20122 Milan, Italy
Interests: microRNAs; biomarkers; systems biology; functional genomics; enrichment analyses; integrative omics methods; trancriptomics; gene expression; RNA sequencing

Special Issue Information

Dear Colleagues,

Next-generation sequencing has had a huge impact on cancer research in the past decade, accelerating the discovery of unknown culprits and widening the spectrum of what can be investigated and the resolution of the obtainable results. Some of these results have been translated into actionable knowledge, leading to diagnostic and treatment opportunities.

Cancer research benefits from a wide array of NGS-related methods. The Cancer Genome Atlas (TCGA) enables the discovery of novel oncogenic mechanisms, leveraging results from NGS screenings; tumor mutational burden (TMB) is an effective biomarker for immunotherapy response prediction, and this is made possible by the myriad mutations discovered by NGS. When cancers release sufficient cell-free circulating tumor DNA (ctDNA) into the bloodstream or other bodily fluids, it is now detectable with sensitive NGS methods on liquid biopsies, and single-cell sequencing allows us to tackle tumor-infiltrating lymphocytes.

Finally, and more recently, third-generation sequencing (long reads) is increasingly used for clinical research purposes, for instance in structural variation detection, leukemia, or minimal residue disease.

These are examples of an articulated ecosystem of evidence-based resources and methods applied to basic or clinical research in oncology. As can be expected from any powerful new method, the advantages of working with NGS come with initially unforeseeable challenges that need to be addressed now.

In this Special Issue, we want to put a spotlight on recent sequencing achievements, and we invite original contributions leveraging sequencing methods in cancer research, both in basic and clinical research settings. We also encourage contributions reflecting on the current challenges and pitfalls of these methods, such as efficiencies, power, resolution, and practices to lower noise given by the omics nature of the sequencing approach, both on the analytic side (bioinformatics) and the bench lab side (experimental design, libraries preparation).

A look can also be given to the impact of national sequencing initiatives on cancer research: 1000 Genomes, Genomics England, and other nationally sponsored efforts and to their impact on the health system. We welcome studies and/or commentaries at different resolution scales: from single nucleotide polymorphisms to gene panels and from exome to whole genome sequencing, and for all scales, we are interested in the different approaches used: experimental, brute-force sequencing and computational and data-integrative meta-analyses.

Dr. Riccardo Rossi
Guest Editor

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Keywords

  • whole genome sequencing
  • exome sequencing
  • variant calling
  • biomarker discovery
  • cell-free DNA sequencing
  • polygenic risk scores
  • minimal residue disease
  • long-read sequencing
  • tumor-infiltrating lymphocytes
  • sequenced biobanks

Published Papers (2 papers)

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Research

16 pages, 4554 KiB  
Article
Plasma Exosomal miRNA Levels after Radiotherapy Are Associated with Early Progression and Metastasis of Cervical Cancer: A Pilot Study
by Oyeon Cho, Do-Wan Kim and Jae-Youn Cheong
J. Clin. Med. 2021, 10(10), 2110; https://doi.org/10.3390/jcm10102110 - 13 May 2021
Cited by 9 | Viewed by 2241
Abstract
Plasma exosomal miRNAs are key regulators of cell-cell interactions associated with several biological functions in patients with cancer. This pilot study aimed to investigate the log2 fold change (log2FC) of the expression of exosomal miRNAs and related mRNAs in the [...] Read more.
Plasma exosomal miRNAs are key regulators of cell-cell interactions associated with several biological functions in patients with cancer. This pilot study aimed to investigate the log2 fold change (log2FC) of the expression of exosomal miRNAs and related mRNAs in the blood of patients with cervical cancer to identify prognostic markers better than those currently available. We sequenced plasma exosomal RNA from 56 blood samples collected from 28 patients with cervical cancer, who had been treated with concurrent chemoradiotherapy (CCRT). Changes in the expression of miRNAs and mRNAs before and after CCRT were represented as log2FC. Their biological functions were studied by miRNA-mRNA network analysis, using ingenuity pathway analysis, after the selection of two groups of miRNAs, each associated with early progression (EP) and metastasis, also described as initial stage. Seven patients experienced EP, three of whom died within four months after progression. Reduced levels of miR-1228-5p, miR-33a-5p, miR-3200-3p, and miR-6815-5p and increased levels of miR-146a-3p in patients with EP revealed unresolved inflammation, with accompanying increased expression of PCK1 and decreased expression of FCGR1A. Increased levels of miR-605-5p, miR-6791-5p, miR-6780a-5p, and miR-6826-5p and decreased levels of miR-16-1-3p (or 15a-3p) were associated with the degree of metastasis and led to the systemic activation of myeloid, endothelial, and epithelial cells, as well as neurons, phagocytes, and platelets. Log2FCs in the expression of miRNAs and mRNAs from plasma exosomes after CCRT are associated with EP and metastasis, reflecting unresolved inflammation and systemic microenvironmental factors, respectively. However, this study, supported by preliminary data insufficient to reach clear conclusions, should be verified in larger prospective cohorts. Full article
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12 pages, 2864 KiB  
Article
Differences in Somatic Mutation Profiles between Korean Gastric Cancer and Gastric Adenoma Patients
by Seung Woo Lee, Taekyu Lee, Hae Jung Sul, Ki Cheol Park and Joonhong Park
J. Clin. Med. 2021, 10(9), 2038; https://doi.org/10.3390/jcm10092038 - 10 May 2021
Viewed by 1798
Abstract
Background: We aimed to investigate molecular factors potentially related to the progression of gastric adenoma (GA) to gastric cancer (GC) and compare the mutation characteristics between GC and GA. Methods: We conducted custom gene panel sequencing for 135 GC-related genes and estimated the [...] Read more.
Background: We aimed to investigate molecular factors potentially related to the progression of gastric adenoma (GA) to gastric cancer (GC) and compare the mutation characteristics between GC and GA. Methods: We conducted custom gene panel sequencing for 135 GC-related genes and estimated the difference in somatic mutation profiles between 20 GC and 20 GA cases. Results: A total of 31 somatic mutations, including 22 missense, 3 nonsense, and 6 frameshift mutations, were detected in 17 samples. We estimated an average of 1.8 mutations per sample (range, 1 to 3 mutations), with 12 in GC and 5 in GA. GC tended to have one or more mutated genes (p = 0.0217), as well as higher allele frequencies of mutated genes (p = 0.0003), compared to GA. Likewise, known driver mutations associated with GC tumorigenesis (TP53, ERBB2, PIK3CA, and RNF43) were identified in half of the GC cases (50%, 10/20; p = 0.0002). Only the mutant burden, regardless of gene type, was retained, with an odds ratio of 1.8392 (95% confidence interval (CI), 1.0071 to 3.3588; p = 0.0474). Conclusion: Our study demonstrates that the accumulation of mutant burden contributes to tumorigenesis progression from GA to GC in Korean patients, regardless of the kind of genes. These findings may elucidate the molecular pathogenesis of gastric carcinogenesis and malignant progression. Full article
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