Evidence map›Paper›PMID 35184335›Full record

ArticleInternational journal of urology : official journal of the Japanese Urological Association2022

Early dynamics of circulating tumor DNA predict clinical response to immune checkpoint inhibitors in metastatic renal cell carcinoma.

Yoko Koh, Kosuke Nakano, Kotoe Katayama, Gaku Yamamichi, Satoru Yumiba, Eisuke Tomiyama, Makoto Matsushita, Yujiro Hayashi, Yoshiyuki Yamamoto, Taigo Kato and 9 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of urology : official journal of the Japanese Urological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
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

19 authors at 3 institutions in 2 countries.

Yoko KohDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0001-9976-6994
Kosuke NakanoDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Kotoe KatayamaDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
Gaku YamamichiDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Satoru YumibaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Eisuke TomiyamaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0002-0056-9446
Makoto MatsushitaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Yujiro HayashiDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Yoshiyuki YamamotoDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Taigo KatoDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0002-8681-1407
Koji HatanoDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Atsunari KawashimaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0001-9369-4264
Takeshi UjikeDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Ryoichi ImamuraDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Rui YamaguchiDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan.
Yukimasa ShiotsuGuardant Health Inc., Redwood City, California, USA.
Norio NonomuraDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Motohide UemuraDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
The University of Osaka · JPTokyo Medical University · JPGuardant (United States) · US

Funding

Japan Society for the Promotion of Science JP20H03815Japan Society for the Promotion of Science JP20K18113
6 · The paper itself

Abstract

objectivesDetection of genomic alterations in circulating tumor deoxyribonucleic acid of peripheral blood can guide the selection of systemic therapy in cancer patients. The predictive significance of circulating tumor deoxyribonucleic acid in metastatic renal cell carcinoma remains unclear, especially for patients treated with immune checkpoint inhibitors.

methodsIn this study, we collected plasma samples before and 1 month after commencing nivolumab monotherapy or nivolumab plus ipilimumab therapy from 14 metastatic renal cell carcinoma patients. We performed circulating tumor deoxyribonucleic acid genomic profiling in plasma cell-free deoxyribonucleic acid by next-generation sequencing using a commercially available pan-cancer panel (Guardant360 CDx). Additionally, we also performed whole exome sequencing of tumor tissues and compared the concordance of genomic profiles with circulating tumor deoxyribonucleic acid.

resultsNine patients had circulating tumor deoxyribonucleic acid in pretreatment plasma samples with a total of 20 mutations (15 single nucleotide variants, three insertions/deletions, and two copy number amplification). VHL (30.0%) was the most frequently mutated gene, followed by TP53 (20.0%), and 45.0% of circulating tumor deoxyribonucleic acid mutations were concordant with somatic mutations in tumor tissues. Patients with decreasing circulating tumor deoxyribonucleic acid mutant allele frequency had better progression free survival when compared to those with increasing mutant allele frequency (P = 0.0441).

conclusionsOur findings revealed that early circulating tumor deoxyribonucleic acid dynamics can serve as a predictive biomarker for response to immune checkpoint inhibitors in metastatic renal cell carcinoma patients.

Indexed as

Carcinoma, Renal CellCirculating Tumor DNAKidney NeoplasmsBiomarkers, TumorFemaleHumansImmune Checkpoint InhibitorsMaleNivolumabBiomarkers, TumorCirculating Tumor DNAImmune Checkpoint InhibitorsNivolumabbiomarkercirculating tumor DNAclear cell renal cell carcinomaimmune checkpoint inhibitornext-generation sequencing

Identifiers

PMID35184335
PMCPMC9306972
OpenAlexW4212816193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.