Evidence map›Paper›PMID 39030645›Full record

ArticleClinical epigenetics2024

Quantification method of ctDNA using cell-free DNA methylation profile for noninvasive screening and monitoring of colon cancer.

Hyojung Ryu, Ji-Hoon Kim, Yeo Jin Kim, Hahyeon Jeon, Byoung-Chul Kim, Yeonsu Jeon, Yeonkyung Kim, Hyebin Bak, Younghui Kang, Changjae Kim and 8 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. 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

18 authors.

Hyojung Ryu *Clinomics, Inc., Ulsan, 44919, Republic of Korea.
Ji-Hoon Kim *Clinomics, Inc., Ulsan, 44919, Republic of Korea.
Yeo Jin KimClinomics, Inc., Ulsan, 44919, Republic of Korea.
Hahyeon JeonClinomics, Inc., Ulsan, 44919, Republic of Korea.
Byoung-Chul KimClinomics, Inc., Ulsan, 44919, Republic of Korea.
Yeonsu JeonClinomics, Inc., Ulsan, 44919, Republic of Korea.
Yeonkyung KimClinomics, Inc., Ulsan, 44919, Republic of Korea.
Hyebin BakClinomics, Inc., Ulsan, 44919, Republic of Korea.
Younghui KangClinomics, Inc., Ulsan, 44919, Republic of Korea.
Changjae KimClinomics, Inc., Ulsan, 44919, Republic of Korea.
Hyojin UmClinomics, Inc., Ulsan, 44919, Republic of Korea.
Ji-Hye AhnClinomics, Inc., Ulsan, 44919, Republic of Korea.
Hwi HyunClinomics, Inc., Ulsan, 44919, Republic of Korea.
Byung Chul KimClinomics, Inc., Ulsan, 44919, Republic of Korea.
Inho SongDivision of Colorectal Surgery, Department of Surgery, Dongnam Institute of Radiological and Medical Sciences, Busan, 46033, Republic of Korea.
Sungwon JeonClinomics, Inc., Ulsan, 44919, Republic of Korea. jsw0061@gmail.com.
Jong BhakClinomics, Inc., Ulsan, 44919, Republic of Korea. jongbhak@genomics.org.
Eon Chul HanDivision of Colorectal Surgery, Department of Surgery, Dongnam Institute of Radiological and Medical Sciences, Busan, 46033, Republic of Korea. eonchulhan@dirams.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer ranks as the second most lethal form of cancer globally. In recent years, there has been active investigation into using the methylation profile of circulating tumor DNA (ctDNA), derived from blood, as a promising indicator for diagnosing and monitoring colon cancer.

resultsWe propose a liquid biopsy-based epigenetic method developed by utilizing 49 patients and 260 healthy controls methylation profile data to screen and monitor colon cancer. Our method initially identified 901 colon cancer-specific hypermethylated (CaSH) regions in the tissues of the 49 cancer patients. We then used these CaSH regions to accurately quantify the amount of circulating tumor DNA (ctDNA) in the blood samples of these same patients, utilizing cell-free DNA methylation profiles. Notably, the methylation profiles of ctDNA in the blood exhibited high sensitivity (82%) and specificity (93%) in distinguishing patients with colon cancer from the control group, with an area under the curve of 0.903. Furthermore, we confirm that our method for ctDNA quantification is effective for monitoring cancer patients and can serve as a valuable tool for postoperative prognosis.

conclusionsThis study demonstrated a successful application of the quantification of ctDNA among cfDNA using the original cancer tissue-derived CaSH region for screening and monitoring colon cancer.

Indexed as

Biomarkers, TumorCirculating Tumor DNAColonic NeoplasmsDNA MethylationAdultAgedCase-Control StudiesCell-Free Nucleic AcidsEarly Detection of CancerEpigenesis, GeneticFemaleHumansLiquid BiopsyMaleMiddle AgedPrognosisBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAColon cancerctDNAEpigenetic diagnosisLiquid biopsyPostoperative monitoring

Identifiers

PMID39030645
PMCPMC11264732

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.