Evidence map›Paper›PMID 41364878›Full record

ArticleBlood advances2026

Microbiome and metabolite biomarkers of CAR T-cell therapy outcomes in relapsed/refractory diffuse large B-cell lymphoma.

Sang Eun Yoon, Woorim Kang, Junhun Cho, Hyeon Ji Cho, Mauricio Chalita, Hyun-Seok Oh, Dong-Wook Hyun, Sujeong Han, Hyun Kim, Hojun Sung and 7 more

Abstract read
In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
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  4. Review
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.

Sang Eun YoonDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-0379-5297
Woorim KangCJ Bioscience Inc, Seoul, Korea.
Junhun ChoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyeon Ji ChoDepartment of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.ORCID 0009-0006-8606-0283
Mauricio ChalitaCJ Bioscience Inc, Seoul, Korea.
Hyun-Seok OhCJ Bioscience Inc, Seoul, Korea.ORCID 0000-0001-8560-7132
Dong-Wook HyunCJ Bioscience Inc, Seoul, Korea.
Sujeong HanDepartment of Artificial Intelligence, Chung-Ang University, Seoul, Korea.ORCID 0009-0002-9444-6240
Hyun KimCJ Bioscience Inc, Seoul, Korea.
Hojun SungDepartment of Biology and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Korea.ORCID 0000-0003-0500-3131
Jae-Yun LeeDepartment of Biology and Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Korea.
Bon ParkDepartment of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.
Kyung Ju RyuDepartment of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.
Hyun-Young KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Duck ChoDepartment of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea.ORCID 0000-0001-6861-3282
Won Seog KimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seok Jin KimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-2776-4401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractCD19 chimeric antigen receptor (CAR) T-cell therapy has revolutionized treatment for relapsed/refractory diffuse large B-cell lymphoma (R/R-DLBCL), but challenges such as posttreatment failure and immune-related adverse events (AEs) persist. This study explores the gut microbiome as a predictive biomarker for CAR T-cell therapy outcomes and toxicity. Stool and serum samples from patients with R/R-DLBCL were analyzed at apheresis (47 samples) and 1 month after infusion (32 samples) using whole-genome sequencing metagenomics. When compared with healthy controls and newly-diagnosed DLBCL, R/R-DLBCL showed significant gut dysbiosis, characterized by increased Proteobacteria and Enterobacteriaceae. Responders had higher levels of Bacteroides fragilis, whereas nonresponders exhibited higher levels of Faecalibacterium prausnitzii. Functional metagenomic analysis suggested enrichment of inosine biosynthesis pathways in responders, and elevated serum inosine demonstrated an exploratory association with improved progression-free survival. Distinct microbial taxa and serum fatty acid profiles were also linked to CAR T-cell-related AEs, with higher acetate and butyrate levels in patients without AEs and increased isovalerate in those with AEs. These findings indicate that gut microbiome features-particularly Bacteroides fragilis and inosine metabolism-may serve as candidate biomarkers for CAR T-cell therapy outcomes and toxicity. However, given the exploratory nature of these analyses and the limited cohort size, results should be interpreted cautiously. Larger, prospective studies will be required to validate these observations and to assess the potential of microbiome-based strategies to optimize CAR T-cell therapy in R/R-DLBCL.

Indexed as

Gastrointestinal MicrobiomeImmunotherapy, AdoptiveLymphoma, Large B-Cell, DiffuseAdultAgedBiomarkersFemaleHumansMaleMiddle AgedRecurrenceTreatment OutcomeBiomarkers

Identifiers

PMID41364878
PMCPMC12955626

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Registered trials

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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.