Evidence map›Paper›PMID 38393391›Full record

ArticleCancer discovery2024

Early Changes in Tumor-Naive Cell-Free Methylomes and Fragmentomes Predict Outcomes in Pembrolizumab-Treated Solid Tumors.

Eric Y Stutheit-Zhao, Enrique Sanz-Garcia, Zhihui Amy Liu, Derek Wong, Kayla Marsh, Albiruni R Abdul Razak, Anna Spreafico, Philippe L Bedard, Aaron R Hansen, Stephanie Lheureux and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
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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

22 authors at 3 institutions in 1 country.

Eric Y Stutheit-Zhao *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-1277-6335
Enrique Sanz-Garcia *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-3119-3832
Zhihui Amy LiuPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Derek WongPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-2607-5265
Kayla MarshOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0000-0003-2483-7166
Albiruni R Abdul RazakPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-7657-9950
Anna SpreaficoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-3034-3042
Philippe L BedardPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-6771-2999
Aaron R HansenPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-2363-8707
Stephanie LheureuxPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-4405-5890
Dax TortiOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0000-0002-9000-5803
Bernard LamOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0000-0002-6437-6491
Shih Yu Cindy YangPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0009-0008-8412-2166
Justin BurgenerDepartment of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-9522-8865
Ping LuoPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-0039-747X
Yong ZengPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-5719-1272
Nicholas ChengOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0009-0007-9174-1099
Philip AwadallaOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0000-0001-9946-6393
Scott V BratmanPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-8610-4908
Pamela S OhashiPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-2915-9317
Trevor J Pugh *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-8073-5888
Lillian L Siu *Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-3500-0540
University Health Network · CAOntario Institute for Cancer Research · CAUniversity of Toronto · CA

Funding

BMO Chair in Precision Oncology
6 · The paper itself

Abstract

Early kinetics of circulating tumor DNA (ctDNA) in plasma predict response to pembrolizumab but typically requires sequencing of matched tumor tissue or fixed gene panels. We analyzed genome-wide methylation and fragment-length profiles using cell-free methylated DNA immunoprecipitation and sequencing (cfMeDIP-seq) in 204 plasma samples from 87 patients before and during treatment with pembrolizumab from a pan-cancer phase II investigator-initiated trial (INSPIRE). We trained a pan-cancer methylation signature using independent methylation array data from The Cancer Genome Atlas to quantify cancer-specific methylation (CSM) and fragment-length score (FLS) for each sample. CSM and FLS are strongly correlated with tumor-informed ctDNA levels. Early kinetics of CSM predict overall survival and progression-free survival, independently of tumor type, PD-L1, and tumor mutation burden. Early kinetics of FLS are associated with overall survival independently of CSM. Our tumor-naïve mutation-agnostic ctDNA approach integrating methylomics and fragmentomics could predict outcomes in patients treated with pembrolizumab. SIGNIFICANCE: Analysis of methylation and fragment length in plasma using cfMeDIP-seq provides a tumor-naive approach to measure ctDNA with results comparable with a tumor-informed bespoke ctDNA. Early kinetics within the first weeks of treatment in methylation and fragment quantity can predict outcomes with pembrolizumab in patients with various advanced solid tumors. This article is featured in Selected Articles from This Issue, p. 897.

Indexed as

Antibodies, Monoclonal, HumanizedCirculating Tumor DNADNA MethylationNeoplasmsAntineoplastic Agents, ImmunologicalBiomarkers, TumorEpigenomeFemaleHumansMalePrognosisTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBiomarkers, TumorCirculating Tumor DNApembrolizumab

Identifiers

PMID38393391
PMCPMC11145176
OpenAlexW4392097077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.