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Cancers
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Application of Large-Scale Genome Data in Identifying Clinically Actionable Targets...
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Application of Large-Scale Genome Data in Identifying Clinically Actionable Targets in Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Molecular Cancer Biology".

Deadline for manuscript submissions: 15 June 2025 | Viewed by 1419

Special Issue Editor

Dr. Arezou A. Ghazani

E-Mail Website
Guest Editor
Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
Interests: precision oncology; clinical genomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Large-scale data analysis has contributed tremendously to precision oncology. Genome data analysis has enabled the identification of signature tumor profiles in selective cancers. Many of these targets (e.g., tumor burden or MSI) have therapeutic or diagnostic applications. Separately, large-scale data analysis in constitutional cancer has enabled the identification of alterations related to cancer risk and familial cancer.

This Special Issue provides a platform for studies that utilize large-scale genome data to investigate clinically actionable targets in tumors (i.e., somatic) or germline (i.e., constitutional) cancer. We welcome manuscripts that include large data analysis to present novel methods to identify validated clinical targets in the genome, novel actional variants in selected cancer types (somatic or inherited cancer), functional analysis of genomics and genome targets, analysis of multi-omics data, cancer cohort analysis, variant pattern recognition analysis, and applications of machine learning and AI in identifying actional clinical targets.

Dr. Arezou A. Ghazani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • genome
  • cancers
  • oncology

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Published Papers (1 paper)

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Research

16 pages, 3890 KiB  
Article
A TaqMan-Based qRT-PCR Assay for Accurate Evaluation of the Oncogenic TrkAIII Splice Variant in Tumor cDNAs
by Maddalena Sbaffone, Antonietta Rosella Farina, Ilaria Martelli, Eugenio Pontieri, Stefano Guadagni, Andrew Reay Mackay, Lucia Cappabianca and Veronica Zelli
Cancers 2025, 17(3), 471; https://doi.org/10.3390/cancers17030471 - 30 Jan 2025
Viewed by 1118
Abstract
Background: Alternative NTRK1/TrkA splicing resulting in TrkAIII expression, originally discovered in advanced-stage metastatic neuroblastomas, is also pronounced in prostate, medullary thyroid, glioblastoma multiforme, MCPyV-positive Merkel cell, cutaneous malignant melanoma, and pituitary neuroendocrine tumor subsets. In tumor models, TrkAIII exhibits actionable oncogenic activity equivalent [...] Read more.
Background: Alternative NTRK1/TrkA splicing resulting in TrkAIII expression, originally discovered in advanced-stage metastatic neuroblastomas, is also pronounced in prostate, medullary thyroid, glioblastoma multiforme, MCPyV-positive Merkel cell, cutaneous malignant melanoma, and pituitary neuroendocrine tumor subsets. In tumor models, TrkAIII exhibits actionable oncogenic activity equivalent to the TrkT3-fused oncogene, and in tumor cell lines, alternative TrkAIII splicing is promoted by hypoxia, nutrient deprivation, endoplasmic reticulum stress, and SV40 large T antigen, implicating tumor microenvironmental conditions and oncogenic polyoma viruses in tumor-associated TrkAIII expression. Collectively, these observations characterize TrkAIII as a potentially frequent, actionable oncogenic alternative to TrkA gene fusion in different tumor types. Currently, therapeutic approval for efficacious Trk inhibitors is restricted to Trk-fused gene positive tumors and not for tumors potentially driven by TrkAIII. Methods: With the therapeutically relevant aim of improving the identification of tumors potentially driven by TrkAIII, we have developed a TaqMan-based qRT-PCR assay for evaluating TrkAIII expression in tumor cDNAs. Results: This assay, validated using gel-purified fs-TrkA and TrkAIII cDNAs alone and in complex cDNA mixtures, employs primers and probes designed from fs-TrkA and TrkAIII sequences, with specificity provided by a TaqMan probe spanning the TrkAIII exon 5–8 splice junction. It is highly efficient, reproducible, and specific and can detect as few as 10 TrkAIII copies in complex RNAs extracted from either fresh or FFPE tumor tissues. Conclusions: Inclusion of this assay into precision oncology algorithms, when paired with fs-TrkA qRT-PCR and TrkA immune histochemistry, will make it easier to identify patients with therapy-resistant, advanced-stage metastatic Trk-fused gene-negative tumors potentially driven by TrkAIII, for whom approval of third-line effective Trk inhibitors could be extended. Full article
(This article belongs to the Special Issue Application of Large-Scale Genome Data in Identifying Clinically Actionable Targets in Cancer)
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