Evidence map›Paper›PMID 29517810›Full record

ArticleCancer2018

Characterization of metastatic urothelial carcinoma via comprehensive genomic profiling of circulating tumor DNA.

Neeraj Agarwal, Sumanta K Pal, Andrew W Hahn, Roberto H Nussenzveig, Gregory R Pond, Sumati V Gupta, Jue Wang, Mehmet A Bilen, Gurudatta Naik, Pooja Ghatalia and 13 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
14.7field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 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

23 authors at 16 institutions in 2 countries.

Neeraj AgarwalDivision of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Sumanta K PalDepartment of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, California.
Andrew W HahnDivision of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.ORCID 0000-0002-4153-205X
Roberto H NussenzveigDivision of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Gregory R PondDepartment of Oncology, McMaster University, Hamilton, Ontario, Canada.
Sumati V GuptaDivision of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Jue WangGenitourinary Oncology Section, University of Arizona Cancer Center at Dignity Health, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.
Mehmet A BilenDepartment of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia.
Gurudatta NaikDepartment of Oncology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-7265-6605
Pooja GhataliaDepartment of Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Christopher J HoimesDivision of Hematology/Oncology, Case Western Reserve University, Seidman Cancer Center, Cleveland, Ohio.
Dharmesh GopalakrishnanDepartment of Hospital Medicine, Cleveland Clinic, Cleveland, Ohio.
Pedro C BarataDivision of Oncology, Department of Medicine, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Alexandra DrakakiDepartment of Hematology/Oncology, University of California at Los Angeles Medical Center, Los Angeles, California.
Bishoy M FaltasDepartment of Medical Oncology, Weill-Cornell Medical College, New York City, New York.
Lesli A KiedrowskiGuardant Health Inc, Redwood, California.
Richard B LanmanGuardant Health Inc, Redwood, California.ORCID 0000-0001-8122-4329
Rebecca J NagyGuardant Health Inc, Redwood, California.
Nicholas J VogelzangDepartment of Oncology, Comprehensive Cancer Centers of Nevada, Las Vegas, Nevada.
Kenneth M BoucherDivision of Biostatistics, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Ulka N VaishampayanDepartment of Oncology, Karmanos Cancer Institute, Detroit, Michigan.
Guru SonpavdeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Petros GrivasDivision of Oncology, Department of Medicine, University of Washington, Fred Hutchinson Cancer Research Center, Seattle, Washington.
University of Utah · USGuardant (United States) · USUniversity of Washington · USCity of Hope · USCleveland Clinic · USComprehensive Cancer Centers of Nevada · USCornell University · USDana-Farber Cancer Institute · USEmory University · USFox Chase Cancer Center · USMcMaster University · CASt. Joseph's Hospital and Medical Center · USThe Barbara Ann Karmanos Cancer Institute · USUniversity Hospitals Seidman Cancer Center · USUniversity of Alabama at Birmingham · USUniversity of California, Los Angeles · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

backgroundBiomarker-guided clinical trials are increasingly common in metastatic urothelial carcinoma (mUC), yet patients for whom contemporary tumor tissue is not available are not eligible. Technological advancements in sequencing have made cell-free circulating DNA (cfDNA) next-generation sequencing (NGS) readily available in the clinic. The objective of the current study was to determine whether the genomic profile of mUC detected by NGS of cfDNA is similar to historical tumor tissue NGS studies. A secondary objective was to determine whether the frequency of genomic alterations (GAs) differed between lower tract mUC (mLTUC) and upper tract mUC (mUTUC).

methodsPatients from 13 academic medical centers in the United States who had a diagnosis of mUC between 2014 and 2017 and for whom cfDNA NGS results were available were included. cfDNA profiling was performed using a commercially available platform (Guardant360) targeting 73 genes.

resultsOf 369 patients with mUC, 294 were diagnosed with mLTUC and 75 with mUTUC. A total of 2130 GAs were identified in the overall mUC cohort: 1610 and 520, respectively, in the mLTUC and mUTUC cohorts. In the mLTUC cohort, frequently observed GAs were similar between cfDNA NGS and historical tumor tissue studies, including tumor protein p53 (TP53) (P = 1.000 and .115, respectively), AT-rich interaction domain 1A (ARID1A) (P = .058 and .058, respectively), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) (P = .058 and .067, respectively), erb-b2 receptor tyrosine kinase 2 (ERBB2) (P = .565 and .074, respectively), and fibroblast growth factor receptor 3 (FGFR3) (P = .164 and .014, respectively). No significant difference was observed with regard to the frequency of GAs between patients with mLTUC and mUTUC.

conclusionsAmong patients with mUC for whom no tumor tissue was available, cfDNA NGS was able to identify a similar profile of GAs for biomarker-driven clinical trials compared with tumor tissue. Despite the more aggressive clinical course, cases of mUTUC demonstrated a circulating tumor DNA genomic landscape that was similar to that of mLTUC. Cancer 2018;124:2115-24. © 2018 American Cancer Society.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Transitional CellCirculating Tumor DNADNA Mutational AnalysisFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMaleMiddle AgedMutationUrologic NeoplasmsBiomarkers, TumorCirculating Tumor DNAbladder cancercirculating tumor DNAmetastatic urothelial carcinomanext-generation sequencingupper tract urothelial carcinoma

Identifiers

PMID29517810
PMCPMC6857169
OpenAlexW2790396840

What OpenQuestion holds

Textmetadata
LicenceTDM
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.