Evidence map›Paper›PMID 35046520›Full record

ArticleBritish journal of cancer2022

Serial ctDNA analysis predicts clinical progression in patients with advanced urothelial carcinoma.

Kyrillus S Shohdy, Dario M Villamar, Yen Cao, Janson Trieu, Kristin S Price, Rebecca Nagy, Scott T Tagawa, Ana M Molina, Cora N Sternberg, David M Nanus and 6 more

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

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  11. The role of circulating tumor DNA (ctDNA) in urothelial cancers.Exploration of targeted anti-tumor therapy · 2025
    Article
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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

16 authors at 6 institutions in 3 countries.

Kyrillus S ShohdyDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Dario M VillamarDepartment of Medicine, Weill Cornell Medicine, New York, NY, USA.
Yen CaoDepartment of Medical Oncology, Comprehensive Cancer Centers of Nevada, Las Vegas, NV, USA.
Janson TrieuDepartment of Medical Oncology, Comprehensive Cancer Centers of Nevada, Las Vegas, NV, USA.
Kristin S PriceGuardant Health, Inc, Redwood City, CA, USA.ORCID http://orcid.org/0000-0003-4300-6413
Rebecca NagyGuardant Health, Inc, Redwood City, CA, USA.
Scott T TagawaDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-2777-8587
Ana M MolinaDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Cora N SternbergDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
David M NanusDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA.
Juan Miguel MosqueraCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0003-4666-6476
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0002-8061-9617
Guru P SonpavdeDepartment of Medical Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1010-9611
Petros GrivasDepartment of Medical Oncology, University of Washington, Seattle, WA, USA.
Nicholas J VogelzangDepartment of Medical Oncology, Comprehensive Cancer Centers of Nevada, Las Vegas, NV, USA. nicholas.vogelzang@usoncology.com.ORCID http://orcid.org/0000-0002-7665-6079
Bishoy Morris FaltasDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA. bmf9003@med.cornell.edu.ORCID http://orcid.org/0000-0002-6432-1693
Cornell University · USComprehensive Cancer Centers of Nevada · USGuardant (United States) · USCairo University · EGHarvard University · USUniversity of Washington Medical Center · US

Funding

BASIC RESEARCH TRAINING IN MEDICAL ONCOLOGYT32CA009566 · NCI · UNIVERSITY OF CHICAGO · PI OLUFUNMILAYO F. OLOPADE · 1987 to 2026
$10.5M
NCI NIH HHS T32 CA009566
6 · The paper itself

Abstract

backgroundTargeted sequencing of circulating tumour DNA (ctDNA) is a promising tool to monitor dynamic changes in the variant allele frequencies (VAF) of genomic alterations and predict clinical outcomes in patients with advanced urothelial carcinoma (UC).

methodsWe performed targeted sequencing of 182 serial ctDNA samples from 53 patients with advanced UC.

resultsSerial ctDNA-derived metrics predicted the clinical outcomes in patients with advanced UC. Combining serial ctDNA aggregate VAF (aVAF) values with clinical factors, including age, sex, and liver metastasis, improved the performance of prognostic models. An increase of the ctDNA aVAF by ≥1 in serial ctDNA samples predicted disease progression within 6 months in 90% of patients. The majority of patients with aVAFs ≤0.7 in three consecutive ctDNA samples achieved durable clinical responses (≥6 months).

conclusionsSerial ctDNA analysis predicts disease progression and enables dynamic monitoring to guide precision medicine in patients with advanced UC.

Indexed as

MutationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Transitional CellCirculating Tumor DNADisease ProgressionFemaleHigh-Throughput Nucleotide SequencingHumansLongitudinal StudiesMaleMiddle AgedPrecision MedicinePrognosisBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID35046520
PMCPMC8810988
OpenAlexW4206811393

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.