Evidence map›Paper›PMID 37099071›Full record

Observational studyMolecular diagnosis & therapy2023

Dynamic ctDNA Mutational Complexity in Patients with Melanoma Receiving Immunotherapy.

Sandra Fitzgerald, Cherie Blenkiron, Rosalie Stephens, Jon A Mathy, Tiffany Somers-Edgar, Gill Rolfe, Richard Martin, Christopher Jackson, Michael Eccles, Tamsin Robb and 5 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Molecular diagnosis & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

15 authors at 6 institutions in 1 country.

Sandra FitzgeraldWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Cherie BlenkironWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Rosalie StephensCancer and Blood Service, Te Whatu Ora Te Toka Tumai (previously Auckland City Hospital), Auckland, New Zealand.
Jon A MathyWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Tiffany Somers-EdgarWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Gill RolfeMelanoma NZ, Auckland, New Zealand.
Richard MartinTe Whatu Ora Wāitemata (previously Waitemata District Health Board, New Zealand), Auckland, New Zealand.
Christopher JacksonTe Whatu Ora Southern (previously Southern District Health Board, New Zealand), Dunedin, New Zealand.
Michael EcclesMaurice Wilkins Centre, Auckland, New Zealand.
Tamsin RobbWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Euan RodgerMaurice Wilkins Centre, Auckland, New Zealand.
Ben LawrenceWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Parry GuilfordUniversity of Otago, Dunedin, New Zealand.
Annette LashamWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand.
Cristin G PrintWaipapa Taumata Rau, University of Auckland, Auckland, New Zealand. c.print@auckland.ac.nz.ORCID http://orcid.org/0000-0001-8345-7812
University of Auckland · NZMaurice Wilkins Centre · NZAuckland City Hospital · NZSouthern District Health Board · NZUniversity of Otago · NZWaitemata District Health Board · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumour DNA (ctDNA) analysis promises to improve the clinical care of people with cancer, address health inequities and guide translational research. This observational cohort study used ctDNA to follow 29 patients with advanced-stage cutaneous melanoma through multiple cycles of immunotherapy.

methodA melanoma-specific ctDNA next-generation sequencing (NGS) panel, droplet digital polymerase chain reaction (ddPCR) and mass spectrometry analysis were used to identify ctDNA mutations in longitudinal blood plasma samples from Aotearoa New Zealand (NZ) patients receiving immunotherapy for melanoma. These technologies were used in conjunction to identify the breadth and complexity of tumour genomic information that ctDNA analysis can reliably report.

resultsDuring the course of immunotherapy treatment, a high level of dynamic mutational complexity was identified in blood plasma, including multiple BRAF mutations in the same patient, clinically relevant BRAF mutations emerging through therapy and co-occurring sub-clonal BRAF and NRAS mutations. The technical validity of this ctDNA analysis was supported by high sample analysis-reanalysis concordance, as well as concordance between different ctDNA measurement technologies. In addition, we observed > 90% concordance in the detection of ctDNA when using cell-stabilising collection tubes followed by 7-day delayed processing, compared with standard EDTA blood collection protocols with rapid processing. We also found that the undetectability of ctDNA at a proportion of treatment cycles was associated with durable clinical benefit (DCB).

conclusionWe found that multiple ctDNA processing and analysis methods consistently identified complex longitudinal patterns of clinically relevant mutations, adding support for expanded clinical trials of this technology in a variety of oncology settings.

Indexed as

Circulating Tumor DNAMelanomaSkin NeoplasmsCutaneous Malignant MelanomaDNA, NeoplasmHumansImmunotherapyMutationProto-Oncogene Proteins B-rafCirculating Tumor DNADNA, NeoplasmProto-Oncogene Proteins B-raf

Identifiers

PMID37099071
PMCPMC10131510
OpenAlexW4367047608

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.