Evidence map›Paper›PMID 29931312›Full record

ReviewJournal of the National Cancer Institute2018

Circulating Tumor DNA Assays in Clinical Cancer Research.

Miguel R Ossandon, Lokesh Agrawal, Eric J Bernhard, Barbara A Conley, Sumana M Dey, Rao L Divi, Ping Guan, Tracy G Lively, Tawnya C McKee, Brian S Sorg and 1 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of the National Cancer Institute, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04752930 (Circulating Tumor DNA), which is not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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.

NCT04752930 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Circulating Tumor DNA (ctDNA) as a Assisted Diagnosis, Early Intervention and Prognostic Marker for Peritoneal Metastases From Colorectal Cancer: A Prospective, Open-label, Randomized Controlled Study

TypeinterventionalSponsorSixth Affiliated Hospital, Sun Yat-sen UniversityRan2020 to 2025Enrolled138ConditionsColorectal Cancer, Peritoneal MetastasesArmsctDNA monitoring, Imageology
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. NCI workshop on ctDNA in cancer treatment and clinical care.Journal of the National Cancer Institute · 2024
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. The Future of Precision Oncology.International journal of molecular sciences · 2023
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Properties and Application of Cell-Free DNA as a Clinical Biomarker.International journal of molecular sciences · 2021
    Review
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

11 authors.

Miguel R OssandonNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Lokesh AgrawalNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Eric J BernhardNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Barbara A ConleyNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Sumana M DeyNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Rao L DiviNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Ping GuanNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Tracy G LivelyNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Tawnya C McKeeNational Cancer Institute, National Institutes of Health, Bethesda, MD.
Brian S SorgNational Cancer Institute, National Institutes of Health, Bethesda, MD.
James V TricoliNational Cancer Institute, National Institutes of Health, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of circulating free DNA (cfDNA) in cancer clinical research was recognized in 1994 when a mutated RAS gene fragment was detected in a patient's blood sample. Up to 1% of the total circulating DNA in patients with cancer is circulating tumor DNA (ctDNA) that originates from tumor cells. As ctDNA is rapidly cleared from the blood stream and can be obtained by minimally invasive methods, it can be used as a dynamic cancer biomarker for cancer early detection, diagnosis, and treatment monitoring. Despite the potential for clinical use, few ctDNA assays have been cleared or approved by the US Food and Drug Administration. As tools for clinical and translational research, current ctDNA assays face some challenges, and more research is needed to advance use of these assays. On September 29-30, 2016, the Division of Cancer Treatment and Diagnosis at the National Cancer Institute convened a workshop entitled "Circulating Tumor DNA Assays in Clinical Cancer Research" to garner input from industry experts, academia, and government research and regulatory agencies to understand and promote the translation of ctDNA assays to clinical research, with potential to advance to use in clinical practice. This Commentary presents the topics of the workshop covered in the presentations and points made in the discussions that followed: 1) background on ctDNA, 2) potential clinical utility of ctDNA assays, 3) assay technology, 4) assay clinical and analytical validation, and 5) industry perspectives. Additional relevant information that has come to light since the workshop has been included.

Indexed as

Biomarkers, TumorCirculating Tumor DNADNA, NeoplasmEarly Detection of CancerHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyNeoplasm MetastasisNeoplasmsNeoplasm StagingReproducibility of ResultsResearchBiomarkers, TumorCirculating Tumor DNADNA, Neoplasm

Identifiers

PMID29931312
PMCPMC6136923

What OpenQuestion holds

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Registered trials

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.