Evidence map›Paper›PMID 34470851›Full record

ArticleCold Spring Harbor molecular case studies2021

Intra- and intertumoral heterogeneity of liver metastases in a patient with uveal melanoma revealed by single-cell RNA sequencing.

Weitao Lin, Aaron B Beasley, Nima Mesbah Ardakani, Elena Denisenko, Leslie Calapre, Matthew Jones, Benjamin A Wood, Lydia Warburton, Alistair R R Forrest, Elin S Gray

Open access · diamondAbstract read
In one paragraph

Article in Cold Spring Harbor molecular case studies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Detection of metastases using circulating tumour DNA in uveal melanoma.Journal of cancer research and clinical oncology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Weitao LinCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia 6027, Australia.ORCID 0000-0003-4385-9897
Aaron B BeasleyCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia 6027, Australia.ORCID 0000-0001-5727-7463
Nima Mesbah ArdakaniDepartment of Anatomical Pathology, PathWest, QEII Medical Centre, Nedlands, Western Australia 6009, Australia.ORCID 0000-0001-9477-8291
Elena DenisenkoHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, the University of Western Australia, Nedlands, Western Australia 6009, Australia.ORCID 0000-0001-6358-526X
Leslie CalapreSchool of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia 6027, Australia.ORCID 0000-0001-7595-6523
Matthew JonesHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, the University of Western Australia, Nedlands, Western Australia 6009, Australia.
Benjamin A WoodDepartment of Anatomical Pathology, PathWest, QEII Medical Centre, Nedlands, Western Australia 6009, Australia.
Lydia WarburtonCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia 6027, Australia.ORCID 0000-0001-9417-1596
Alistair R R ForrestHarry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, the University of Western Australia, Nedlands, Western Australia 6009, Australia.ORCID 0000-0003-4543-1675
Elin S GrayCentre for Precision Health, Edith Cowan University, Joondalup, Western Australia 6027, Australia.ORCID 0000-0002-8613-3570
Edith Cowan University · AUThe University of Western Australia · AUMurdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor heterogeneity is a major obstacle to the success of cancer treatment. An accurate understanding and recognition of tumor heterogeneity is critical in the clinical management of cancer patients. Here, we utilized single-cell RNA sequencing (scRNA-seq) to uncover the intra- and intertumoral heterogeneity of liver metastases from a patient with metastatic uveal melanoma. The two metastases analyzed were largely infiltrated by noncancerous cells with significant variability in the proportion of different cell types. Analysis of copy-number variations (CNVs) showed gain of 8q and loss of 6q in both tumors, but loss of Chromosome 3 was only detected in one of the tumors. Single-nucleotide polymorphism (SNP) array revealed a uniparental isodisomy 3 in the tumor with two copies of Chromosome 3, indicating a regain of Chromosome 3 during the development of the metastatic disease. In addition, both tumors harbored subclones with additional CNVs. Pathway enrichment analysis of differentially expressed genes revealed that cancer cells in the metastasis with isodisomy 3 showed up-regulation in epithelial-mesenchymal transition and myogenesis related genes. In contrast, up-regulation in interferon signaling was observed in the metastasis with monosomy 3 and increased T-cell infiltrate. This study highlights the complexity and heterogeneity of different metastases within an individual case of uveal melanoma.

Indexed as

Liver NeoplasmsMelanomaUveal NeoplasmsHumansSequence Analysis, RNAUveal Melanomachoroidal melanoma

Identifiers

PMID34470851
PMCPMC8559622
OpenAlexW3197459147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.