Evidence map›Paper›PMID 34962023›Full record

ArticleCancer science2022

A modified MethyLight assay predicts the clinical outcomes of anti-epidermal growth factor receptor treatment in metastatic colorectal cancer.

Kota Ouchi, Shin Takahashi, Akira Okita, Yasuhiro Sakamoto, Osamu Muto, Kenji Amagai, Takaho Okada, Hisatsugu Ohori, Eiji Shinozaki, Chikashi Ishioka

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Characteristics of gut microbiota in high-methylated colorectal cancer.International journal of clinical oncology · 2025
    Article
  6. Review
  7. Current Status of Precision Medicine in Colorectal Cancer in Japan.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

10 authors at 7 institutions in 3 countries.

Kota OuchiDepartment of Clinical Oncology, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Miyagi, Japan.ORCID https://orcid.org/0000-0002-5572-1337
Shin TakahashiDepartment of Clinical Oncology, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Miyagi, Japan.ORCID https://orcid.org/0000-0001-6695-3099
Akira OkitaDepartment of Clinical Oncology, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Miyagi, Japan.
Yasuhiro SakamotoDepartment of Medical Oncology, Osaki Citizen Hospital, Miyagi, Japan.
Osamu MutoDepartment of Medical Oncology, Akita Red Cross Hospital, Akita, Japan.
Kenji AmagaiDepartment of Gastroenterology, Ibaraki Prefectural Central Hospital, Ibaraki Cancer Center, Ibaraki, Japan.
Takaho OkadaDepartment of Digestive Surgery, Sendai Open Hospital, Miyagi, Japan.
Hisatsugu OhoriDepartment of Medical Oncology, Ishinomaki Red Cross Hospital, Miyagi, Japan.
Eiji ShinozakiGastrointestinal Oncology Department, The Cancer Institute Hospital of JFCR, Tokyo, Japan.
Chikashi IshiokaDepartment of Clinical Oncology, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Miyagi, Japan.ORCID https://orcid.org/0000-0002-3023-1227
Tohoku University · JPAkita Red Cross Hospital · JPIbaraki Prefectural Central Hospital · JPOsaki Citizen Hospital · JPRed Cross Hospital · GRSendai Shakai Hoken Hospital · JPThe Cancer Institute Hospital · JP

Funding

Cancer Research and Therapeutic Evolution (P-CREATE)Japan Agency for Medical Research and Development 16770660Project for Development of Innovative Research on Cancer Therapeutics (P-DIRECT) 11110018
6 · The paper itself

Abstract

DNA methylation status correlates with clinical outcomes of anti-epidermal growth factor receptor (EGFR) treatment. There is a strong need to develop a simple assay for measuring DNA methylation status for the clinical application of drug selection based on it. In this study, we collected data from 186 patients with metastatic colorectal cancer (mCRC) who had previously received anti-EGFR treatment. We modified MethyLite to develop a novel assay to classify patients as having highly methylated colorectal cancer (HMCC) or low-methylated colorectal cancer (LMCC) based on the methylation status of 16 CpG sites of tumor-derived genomic DNA in the development cohort (n = 30). Clinical outcomes were then compared between the HMCC and LMCC groups in the validation cohort (n = 156). The results showed that HMCC had a significantly worse response rate (4.2% vs 33.3%; P = .004), progression-free survival (median: 2.5 vs 6.6 mo, P < .001, hazard ratio [HR] = 0.22), and overall survival (median: 5.6 vs 15.5 mo, P < .001, HR = 0.23) than did LMCC in patients with RAS wild-type mCRC who were refractory or intolerable to oxaliplatin- and irinotecan-based chemotherapy (n = 101). The DNA methylation status was an independent predictive factor and a more accurate biomarker than was the primary site of anti-EGFR treatment. In conclusion, our novel DNA methylation measurement assay based on MethyLight was simple and useful, suggesting its implementation as a complementary diagnostic tool in a clinical setting.

Indexed as

DNA MethylationAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorColorectal NeoplasmsCpG IslandsErbB ReceptorsFemaleHumansMaleMiddle AgedNeoplasm MetastasisOligonucleotide Array Sequence AnalysisProgression-Free SurvivalAntineoplastic AgentsBiomarkers, TumorErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)anti-EGFR antibodiesDNA methylationmetastatic CRCMethyLightpredictive biomarker

Identifiers

PMID34962023
PMCPMC8898715
OpenAlexW4200530161

What OpenQuestion holds

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LicenceCC BY-NC
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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.