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 2026 | Viewed by 1992

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Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
Interests: precision oncology; clinical genomics
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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

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Keywords

  • genome
  • cancers
  • oncology

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Published Papers (2 papers)

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Research

23 pages, 2905 KiB  
Article
Advancing the Landscape of Clinical Actionability in Von Hippel–Lindau Syndrome: An Evidence-Based Framework from the INT2GRATE Oncology Consortium
by Diane R. Koeller, McKenzie Walker, Busra Unal, Anu Chittenden, Alison Schwartz Levine, Connor P. Hayes, Paul C. Oramasionwu, Monica D. Manam, Ryan M. Buehler, Israel Gomy, Wilson Araujo Silva, Jr., Jordan Lerner-Ellis, Selina Casalino, Radhika Mahajan, Nicholas Watkins, Nihat Bugra Agaoglu, Danielle K. Manning, Justine A. Barletta, Jason L. Hornick, Neal I. Lindeman, Lynette M. Sholl, Huma Q. Rana, Judy E. Garber and Arezou A. Ghazaniadd Show full author list remove Hide full author list
Cancers 2025, 17(13), 2173; https://doi.org/10.3390/cancers17132173 - 27 Jun 2025
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Abstract
Background/Objectives: An accurate evaluation of variant actionability is essential in cancer management. In Von Hippel–Lindau Syndrome (VHL), the interpretation of the germline variants is confounded by the presence of non-syndromic component tumors, such as clear cell renal cell carcinoma (ccRCC), hemangioblastoma, pheochromocytoma, and [...] Read more.
Background/Objectives: An accurate evaluation of variant actionability is essential in cancer management. In Von Hippel–Lindau Syndrome (VHL), the interpretation of the germline variants is confounded by the presence of non-syndromic component tumors, such as clear cell renal cell carcinoma (ccRCC), hemangioblastoma, pheochromocytoma, and neuroendocrine tumors. These tumors frequently occur sporadically, without any association with VHL syndrome. The presence of these tumors in a patient with a germline VHL variant could lead to inaccurate attribution of these tumors to the germline variant and VHL syndrome. In our previous INT2GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes) programs, we demonstrated that integrating tumor-derived and germline evidence offers a comprehensive approach for the accurate assessment of the germline variants in cancer syndromes. Methods/Results: Here, we present a novel INT2GRATE variant evidence framework (VEF) for evaluating the clinical actionability of the germline variants in VHL syndrome, offering an integrated approach that incorporates both constitutional and tumor data. We analyzed 2672 variants in the VHL gene and their associated tumors and clinical evidence to effectively distinguish between constitutional, sporadic, VHL differentials, and VHL allelic genetic conditions. The germline INT2GRATE variants, along with their comprehensive associated evidence, were made accessible in the first open-access INT2GRATE Variant data Portal. Conclusions: This novel and integrated approach to variant assessment and data sharing in hereditary cancer syndromes is essential in the clinical evaluation of genomic variants, advancing precision oncology, and improving patient care. Full article
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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
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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
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