Evidence map›Paper›PMID 33230567›Full record

ArticleCancer immunology, immunotherapy : CII2021

Pan-cancer methylation analysis reveals an inverse correlation of tumor immunogenicity with methylation aberrancy.

Changhee Park, Kyeonghun Jeong, Joon-Hyeong Park, Sohee Jung, Jeong Mo Bae, Kwangsoo Kim, Chan-Young Ock, Miso Kim, Bhumsuk Keam, Tae Min Kim and 7 more

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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

17 authors at 4 institutions in 2 countries.

Changhee Park *Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Kyeonghun Jeong *Division of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Joon-Hyeong ParkDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Sohee JungDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Jeong Mo BaeDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Kwangsoo KimTransdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea. kksoo716@gmail.com.
Chan-Young OckDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. ock.chanyoung@gmail.com.ORCID http://orcid.org/0000-0002-6755-9728
Miso KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Bhumsuk KeamDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Tae Min KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Yoon Kyung JeonDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Se-Hoon LeeDivision of Hematology/Oncology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ju-Seog LeeDepartment of Systems Biology, Division of Basic Sciences, MD Anderson Cancer Center, Houston, TX, USA.
Dong-Wan KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Gyeong Hoon KangDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Doo Hyun ChungDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Dae Seog HeoDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Seoul National University Hospital · KRSeoul National University · KRSamsung Medical Center · KRThe University of Texas MD Anderson Cancer Center · US

Funding

Korea Health Industry Development Institute HI17C0048
6 · The paper itself

Abstract

Tumor immunogenicity is driven by various genomic and transcriptomic factors but the association with the overall status of methylation aberrancy is not well established. We analyzed The Cancer Genome Atlas pan-cancer database to investigate whether the overall methylation aberrancy links to the immune evasion of tumor. We created the definitions of hypermethylation burden, hypomethylation burden and methylation burden to establish the values that represent the degree of methylation aberrancy from human methylation 450 K array data. Both hypermethylation burden and hypomethylation burden significantly correlated with global methylation level as well as methylation subtypes defined in previous literatures. Then we evaluated whether methylation burden correlates with tumor immunogenicity and found that methylation burden showed a significant negative correlation with cytolytic activity score, which represent cytotoxic T cell activity, in pan-cancer (Spearman rho = - 0.37, p < 0.001) and 30 of 33 individual cancer types. Furthermore, this correlation was independent of mutation burden and chromosomal instability in multivariate regression analysis. We validated the findings in the external cohorts and outcomes of patients who were treated with immune checkpoint inhibitors, which showed that high methylation burden group had significantly poor progression-free survival (Hazard ratio 1.74, p = 0.038). Overall, the degree of methylation aberrancy negatively correlated with tumor immunogenicity. These findings emphasize the importance of methylation aberrancy for tumors to evade immune surveillance and warrant further development of methylation biomarker.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticMutationPromoter Regions, GeneticBiomarkers, TumorCpG IslandsEpigenesis, GeneticHumansNeoplasmsPrognosisSurvival RateTranscriptomeBiomarkers, TumorImmune evasionImmunotherapyMethylationTumor immunogenicity

Identifiers

PMID33230567
PMCPMC10992373
OpenAlexW3108428336

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.