Evidence map›Paper›PMID 32379795›Full record

ArticlePloS one2020

Liquid biopsy-based tumor profiling for metastatic colorectal cancer patients with ultra-deep targeted sequencing.

Jun-Kyu Kang, Sunghoon Heo, Hwang-Phill Kim, Sang-Hyun Song, Hongseok Yun, Sae-Won Han, Gyeong Hoon Kang, Duhee Bang, Tae-You Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Liquid Biopsy and Colorectal Cancer.South Asian journal of cancer · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Presence of ConcurrentCancers · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Jun-Kyu KangDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Sunghoon HeoDepartment of Chemistry, Yonsei University, Seoul, Republic of Korea.
Hwang-Phill KimDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Sang-Hyun SongDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Hongseok YunCenter for Precision Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Sae-Won HanCancer Research Institute, Seoul National University, Seoul, Republic of Korea.
Gyeong Hoon KangCancer Research Institute, Seoul National University, Seoul, Republic of Korea.
Duhee BangDepartment of Chemistry, Yonsei University, Seoul, Republic of Korea.
Tae-You KimDepartment of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-9986-2684
Seoul National University · KRYonsei University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing cell-free DNA (cfDNA) as a source of circulating tumor DNA is useful for diagnosing or monitoring patients with cancer. However, the concordance between cfDNA within liquid biopsy and genomic DNA (gDNA) within tumor tissue biopsy is still under debate. To evaluate the concordance in a clinical setting, we enrolled 54 patients with metastatic colorectal cancer and analyzed their plasma cfDNA, gDNA from peripheral blood mononuclear cells (PBMC), and gDNA from available matched tumor tissues using ultra-deep sequencing targeting 10 genes (38-kb size) recurrently mutated in colorectal cancer. We first established a highly reliable cut-off value using reference material. The sensitivity of detecting KRAS hotspot mutations in plasma was calculated as 100%, according to digital droplet PCR. We could selectively detect clinically important somatic alterations with a variant allele frequency as low as 0.18%. We next compared somatic mutations of the 10 genes between cfDNA and genomic DNA from tumor tissues and observed an overall 93% concordance rate between the two types of samples. Additionally, the concordance rate of patients with the time interval between liquid biopsy and tumor tissue biopsy within 6 months and no prior exposure to chemotherapy was much higher than those without. The patients with KRAS mutant fragments in plasma had poor prognosis than those without the mutant fragments (33 months vs. 63 months; p<0.05). Consequently, the profiling with our method could achieve highly concordant results and may facilitate the surveillance of the tumor status with liquid biopsy in CRC patients.

Indexed as

AdultAgedCell-Free Nucleic AcidsCirculating Tumor DNAColorectal NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyLiver NeoplasmsLung NeoplasmsMaleMiddle AgedMutationNeoplasm MetastasisProto-Oncogene Proteins p21(ras)Cell-Free Nucleic AcidsCirculating Tumor DNAKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID32379795
PMCPMC7205246
OpenAlexW3021582099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.