ArticleThe Journal of pathology2023
A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary.
Article in The Journal of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges.Briefings in bioinformatics · 2024Pooled it
- A prospective national precision medicine trial evaluating the feasibility of blood-based molecular profiling in patients with Cancer of Unknown Primary (CUP-COMP).British journal of cancer · 2026Article
- Soft multiclass feature augmented deep learning to predict tumor origins using cytology or histology whole slide images.NPJ digital medicine · 2026Article
- Management and survival of patients with cancer of unknown primary discussed by a French national multidisciplinary tumour board: a retrospective analysis.The Lancet regional health. Europe · 2026Article
- Pathologist-initiated whole genome and transcriptome sequencing demonstrates diagnostic utility in resolving difficult-to-diagnose tumors.Genome medicine · 2025Article
- Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.Nature reviews. Clinical oncology · 2025Review
- Large language models enable tumor-type classification and localization of cancers of unknown primary from genomic data.Cell reports. Medicine · 2025Article
- A Hybrid Ensemble Equilibrium Optimizer Gene Selection Algorithm for Microarray Data.Biomimetics (Basel, Switzerland) · 2025Article
- Whole genome sequencing improves tissue-of-origin diagnosis and treatment options for cancer of unknown primary.Nature communications · 2025Article
- Advancements in Diagnostics and Therapeutics for Cancer of Unknown Primary in the Era of Precision Medicine.MedComm · 2025Review
- Impact of whole genome sequencing on the care pathway for patients with cancer of unknown primary.ESMO open · 2025Article
- A cfDNA methylation-based tissue-of-origin classifier for cancers of unknown primary.Nature communications · 2024Article
- Advances in Cancer Research: Current and Future Diagnostic and Therapeutic Strategies.Biosensors · 2024Review
- The practical utility of AI-assisted molecular profiling in the diagnosis and management of cancer of unknown primary: an updated review.Virchows Archiv : an international journal of pathology · 2024Review
- Baseline mutational profiles of patients with carcinoma of unknown primary origin enrolled in the CUPISCO study.ESMO open · 2023Article
- New era: prospects for managing cancer of unknown primary.Cancer biology & medicine · 2023Article
- Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary.Nature medicine · 2023Article
- Six-year experience of Australia's first dedicated cancer of unknown primary clinic.British journal of cancer · 2023Article
- Immune and genomic biomarkers of immunotherapy response in cancer of unknown primary.Journal for immunotherapy of cancer · 2023Article
Corrections and comments
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Authors and funding
34 authors at 14 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer of unknown primary (CUP) is a syndrome defined by clinical absence of a primary cancer after standardised investigations. Gene expression profiling (GEP) and DNA sequencing have been used to predict primary tissue of origin (TOO) in CUP and find molecularly guided treatments; however, a detailed comparison of the diagnostic yield from these two tests has not been described. Here, we compared the diagnostic utility of RNA and DNA tests in 215 CUP patients (82% received both tests) in a prospective Australian study. Based on retrospective assessment of clinicopathological data, 77% (166/215) of CUPs had insufficient evidence to support TOO diagnosis (clinicopathology unresolved). The remainder had either a latent primary diagnosis (10%) or clinicopathological evidence to support a likely TOO diagnosis (13%) (clinicopathology resolved). We applied a microarray (CUPGuide) or custom NanoString 18-class GEP test to 191 CUPs with an accuracy of 91.5% in known metastatic cancers for high-medium confidence predictions. Classification performance was similar in clinicopathology-resolved CUPs - 80% had high-medium predictions and 94% were concordant with pathology. Notably, only 56% of the clinicopathology-unresolved CUPs had high-medium confidence GEP predictions. Diagnostic DNA features were interrogated in 201 CUP tumours guided by the cancer type specificity of mutations observed across 22 cancer types from the AACR Project GENIE database (77,058 tumours) as well as mutational signatures (e.g. smoking). Among the clinicopathology-unresolved CUPs, mutations and mutational signatures provided additional diagnostic evidence in 31% of cases. GEP classification was useful in only 13% of cases and oncoviral detection in 4%. Among CUPs where genomics informed TOO, lung and biliary cancers were the most frequently identified types, while kidney tumours were another identifiable subset. In conclusion, DNA and RNA profiling supported an unconfirmed TOO diagnosis in one-third of CUPs otherwise unresolved by clinicopathology assessment alone. DNA mutation profiling was the more diagnostically informative assay. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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