Skip to main content

EDITORIAL article

Front. Oncol., 26 September 2023
Sec. Cancer Genetics
This article is part of the Research Topic 365 Days of Progress In Cancer Genetics View all 5 articles

Editorial: 365 days of progress in cancer genetics

  • 1Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
  • 2Department of Biology and Medical Genetics, Medical University of Gdansk, Gdansk, Poland
  • 3Department of Neuroscience, Section of Human Anatomy, University of the Sacred Hearth, Rome, Italy
  • 4Gemelli Science and Technology Park (GSTeP)-Organoids Research Core Facility, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy

Editorial on the Research Topic
365 days of progress in cancer genetics

Progress in cancer research continues to advance rapidly, with significant developments in understanding the genetic basis of cancer, identification of new cancer-associated genes, and the development of targeted therapies based on genetic profiling. Advances are accelerating on many fronts due in large part to increased robustness of high throughput technologies and improvements in biospecimen acquisition and management. Notable key areas of progress in cancer genetics include cancer genomics, liquid biopsies, immunotherapy and biomarkers, precision medicine and cancer risk assessment.

Cancer genomics: Advances in sequencing technologies (including at the single-cell level) have enabled researchers to identify genetic aberrations that drive cancer development and progression (1). Large-scale genomic and transcriptomic studies continue to uncover numerous new cancer-associated genes and molecular pathways, with increasing appreciation for the significance of the impact of intratumoural complexity on disease progression (2). Importantly, it has become a requirement for bioinformatically-derived discoveries to include molecular, functional and/or clinical validation of findings to facilitate novel observations to gain traction in clinical research and enable advances in patient management and prognostication.

Liquid biopsies: Liquid biopsies, which involve analysing tumour-derived DNA and other biomarkers from blood samples, have shown promise in non-invasively detecting cancer, monitoring treatment response, and identifying molecular genetic changes associated with drug resistance (3).

Immunotherapy and biomarkers: Genetic profiling has been crucial in predicting responses to immunotherapies. Identifying specific genetic features of tumours can help determine which patients are more likely to benefit from immune checkpoint inhibitors and other immunotherapies (4).

Precision medicine: Personalized treatment approaches based on the genetic characteristics of an individual’s tumour is becoming mainstream where cancer centre infrastructure and funding permits. Targeted therapeutic approaches to specifically addressing the unique genetic alterations present in a patient’s cancer are leading to improved treatment outcomes and reduced side effects across a broad spectrum of neoplasms (5).

Cancer risk assessment: Genetic testing and screening for inherited cancer predisposition (including syndromes) has become more accessible, allowing for early detection and prevention strategies in individuals with a higher risk of developing certain types of cancer.

This editorial summarises four recent articles highlighting important progress in Cancer Genetics in diverse neoplastic disease contexts. Firstly, Zhang et al. reported an interesting study evaluating an association between two microRNA polymorphisms, miR-671 rs1870238 and miR-671 rs2446065, with susceptibility to soft tissue sarcomas (STSs). STSs are a highly heterogeneous group of tumours, presenting ambiguous clinical and histopathological features making diagnosis and therapy challenging. Notably, at present, there are no useful biomarkers for prevention measures or effective treatment follow-up. It is widely accepted that miRNAs are differentially expressed in STSs, with utility for clinically relevant STS subclassification. Therefore, screening for potential SNPs that might alter miRNAs and their role in the cell is an interesting approach when looking for a predisposition to STSs. Zhang and colleagues genotyped 169 patients diagnosed with different STSs and 170 healthy controls for 17 SNPs in six miRNAs and demonstrated a significant association between miR-671 rs1870238 and miR-671 rs2446065 and the risk of developing STSs. Specifically, rs1870238 (GC/CC) and rs2446065 (CG+GG) had 1.963- and 1.838-fold increased risk of developing STSs. These exciting results indicate a potential role of rs1870238 and rs2446065 in the predisposition to STSs and should be considered for further validation.

Sakai et al. presented a case report of a 12-year-old boy with a phosphaturic mesenchymal tumour (PMT) with a novel fusion gene NIPBL-BEND2. PMTs are rare tumours, secreting FGF23, leading to hypophosphatemia and tumour-induced osteomalacia. To date, PMTs have been reported with two different FN1 gene fusions, FN1-FGFR1 and FN1-FGF1; however, these alterations were present in less than 50% of cases. Therefore, the pathobiology of the remaining PMTs remains unclear. The patient had no history of metabolic bone disease, yet he presented with a deficiency of bone mineralisation similar to that observed in patients with rickets and gait difficulties. On initial biochemical examination, the patient had a markedly high serum FGF23 level, which started decreasing immediately after tumour resection and had normalised 3 hours post surgery. Muscle weakness gradually improved, and gait disturbance normalised two months post surgery. RNA-seq analysis of the resected tumour did not reveal any FN1 fusions but detected a novel NIPBL-BEND2 fusion. Interestingly, the NIPBL-BEND2 fusion gene, when cloned into HEK293T cells (to enable production of recombinant proteins), induced cell proliferation and upregulation of the MYC pathway, suggesting a potential new aetiology of PMT.

The study presented by Li et al. aimed to determine the utility of lncRNA AP004608.1 as an independent predictive marker of survival for patients diagnosed with prostate cancer (PCa).

The authors performed an initial in silico analysis using The Cancer Genome Atlas (TCGA) database (https://www.cancer.gov/tcga) and then validated their results using a second, independent dataset (6). Li et al. identified significantly lower expression of AP004608.1 in normal prostatic tissue compared to PCa, and also showed that the level of AP004608.1was an independent predictor of patient overall survival (taking TNM stage into consideration), especially for short follow-up (ROC 0.982 for follow-up up to 12 months). The predictive value of AP004608.1 decreased with extension of the observation time, reaching 0.795 and 0.568 for five and ten years of observation, respectively. These findings are consistent with literature supporting links between abnormal lncRNA expression and PCa prognosis. With PCa being characterized by high disease burden, potential biomarkers that might improve patient management are of great importance, making the result of Li et al. an exciting finding and worthy of further verification.

Finally, Lao et al. investigated genomic alterations and neoantigen characteristics of gastroesophageal tumours (ACGEJ) to identify novel therapeutic targets, a risk model to predict patient survival. Whole exome sequencing was performed on 55 paired samples from ACGEJ patients to identify somatic mutations and copy number aberrations. Findings were compared with their previous RNAseq data, and data available via TCGA, to predict neoantigens and to evaluate genes significantly associated with the presence of T-cell infiltrates. Recurrent aberrations were identified in MAP2K7, RNF43, RHOA, CCNE1 and VEGFA genes, and a distinct neoantigen landscape. In addition, several infiltration-related Hub genes identified by RNAseq. This study provides important new insight for neoantigen-based immunotherapeutic targets for ACGEJ treatment and effective disease prognosis biomarkers.

Author contributions

MR: Writing – original draft, Writing – review & editing. CS: Writing – review & editing. HC: Writing – review & editing, Writing – original draft.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Morganti S, Tarantino P, Ferraro E, D’Amico P, Duso BA, Curigliano G. Next generation sequencing (NGS): A revolutionary technology in pharmacogenomics and personalized medicine in cancer. Adv Exp Med Biol (2019) 1168:9–30. doi: 10.1007/978-3-030-24100-1_2

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Dentro SC, Leshchiner I, Haase K, Tarabichi M, Wintersinger J, Deshwar AG, et al. Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes. Cell (2021) 184:2239–2254 e2239. doi: 10.1016/j.cell.2021.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Jiang S, Liu Y, Xu Y, Sang X, Lu X. Research on liquid biopsy for cancer: A bibliometric analysis. Heliyon (2023) 9:e14145. doi: 10.1016/j.heliyon.2023.e14145

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Johnson DB, Nebhan CA, Moslehi JJ, Balko JM. Immune-checkpoint inhibitors: long-term implications of toxicity. Nat Rev Clin Oncol (2022) 19:254–67. doi: 10.1038/s41571-022-00600-w

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Middleton G, Robbins H, Andre F, Swanton C. A state-of-the-art review of stratified medicine in cancer: towards a future precision medicine strategy in cancer. Ann Oncol (2022) 33:143–57. doi: 10.1016/j.annonc.2021.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets–update. Nucleic Acids Res (2013) 41:D991–995. doi: 10.1093/nar/gks1193

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cancer genetics, genomics, neoantigens, immunotherapy, prognosis biomarkers

Citation: Ratajska M, Sette C and Cunliffe HE (2023) Editorial: 365 days of progress in cancer genetics. Front. Oncol. 13:1270902. doi: 10.3389/fonc.2023.1270902

Received: 01 August 2023; Accepted: 16 August 2023;
Published: 26 September 2023.

Edited and Reviewed by:

Giuseppe Giaccone, Amgen, United States

Copyright © 2023 Ratajska, Sette and Cunliffe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Heather E. Cunliffe, Heather.cunliffe@otago.ac.nz

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.