Evidence map›Paper›PMID 32162812›Full record

ArticleThe oncologist2020

Guardant360 Circulating Tumor DNA Assay Is Concordant with FoundationOne Next-Generation Sequencing in Detecting Actionable Driver Mutations in Anti-EGFR Naive Metastatic Colorectal Cancer.

Rohan Gupta, Tamer Othman, Chen Chen, Jaideep Sandhu, Ching Ouyang, Marwan Fakih

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Rohan GuptaDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, California, USA.
Tamer OthmanDepartment of Internal Medicine, Harbor-UCLA Medical Center, Torrance, California, USA.
Chen ChenCenter for Informatics, City of Hope National Medical Center, Duarte, California, USA.
Jaideep SandhuDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, California, USA.
Ching OuyangCenter for Informatics, City of Hope National Medical Center, Duarte, California, USA.
Marwan FakihDepartment of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, California, USA.
City Of Hope National Medical Center · USUCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDirect comparisons between Guardant360 (G360) circulating tumor DNA (ctDNA) and FoundationOne (F1) tumor biopsy genomic profiling in metastatic colorectal cancer (mCRC) are limited. We aim to assess the concordance across overlapping genes tested in both F1 and G360 in patients with mCRC. MATERIALS AND

methodsWe retrospectively analyzed 75 patients with mCRC who underwent G360 and F1 testing. We evaluated the concordance among gene mutations tested by both G360 and F1 among three categories of patients: untreated, treated without, and treated with EGFR inhibitors, while considering the clonal and/or subclonal nature of each genomic alteration.

resultsThere was a high rate of concordance in APC, TP53, KRAS, NRAS, and BRAF mutations in the treatment-naive and non-anti-EGFR-treated cohorts. There was increased discordance in the anti-EGFR treated patients in three drivers of anti-EGFR resistance: KRAS, NRAS, and EGFR somatic mutations. Based on percentage of ctDNA, discordant somatic mutations were mostly subclonal instead of clonal and may have limited clinical significance. Most discordant amplifications noted on G360 showed the magnitude below the top decile, occurred in all three cohorts of patients, and were of unknown clinical significance. Serial ctDNA in anti-EGFR treated patients showed the emergence of multiple new alterations that affected the EGFR pathway: EGFR and RAS mutations and MET, RAS, and BRAF amplifications.

conclusionG360 Next-Generation Sequencing platform may be used as an alternative to F1 to detect targetable somatic alterations in non-anti-EGFR treated mCRC, but larger prospective studies are needed to further validate our findings. IMPLICATIONS FOR PRACTICE: Genomic analysis of tissue biopsy is currently the optimal method for identifying DNA genomic alterations to help physicians target specific genes but has many disadvantages that may be mitigated by a circulating free tumor DNA (ctDNA) assay. This study showed a high concordance rate in certain gene mutations in patients who were treatment naive and treated with non-anti-EGFR therapy prior to ctDNA testing. This suggests that ctDNA genomic analysis may potentially be used as an alternative to tumor biopsy to identify appropriate patients for treatment selection in mCRC, but larger prospective studies are needed to further validate concordance among tissue and ctDNA tumor profiling.

Indexed as

Circulating Tumor DNAColonic NeoplasmsColorectal NeoplasmsBiomarkers, TumorHigh-Throughput Nucleotide SequencingHumansMutationProspective StudiesRetrospective StudiesBiomarkers, TumorCirculating Tumor DNACirculating tumor DNAColorectal cancerConcordanceEGFRNGS

Identifiers

PMID32162812
PMCPMC7066697
OpenAlexW2983584265

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.