Evidence map›Paper›PMID 38229430›Full record

ArticleJournal of pathology and translational medicine2024

Tumor-infiltrating T lymphocytes evaluated using digital image analysis predict the prognosis of patients with diffuse large B-cell lymphoma.

Yunjoo Cho, Jiyeon Lee, Bogyeong Han, Sang Eun Yoon, Seok Jin Kim, Won Seog Kim, Junhun Cho

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Article in Journal of pathology and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yunjoo ChoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jiyeon LeeDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Bogyeong HanDepartment of Pathology, Seoul National University, Seoul National College of Medicine, Seoul, Korea.
Sang Eun YoonDivision of Hematology and Oncology, Department of Internal Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seok Jin KimDivision of Hematology and Oncology, Department of Internal Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea.
Won Seog KimDivision of Hematology and Oncology, Department of Internal Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea.
Junhun ChoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implication of the presence of tumor-infiltrating T lymphocytes (TIL-T) in diffuse large B-cell lymphoma (DLBCL) is yet to be elucidated. We aimed to investigate the effect of TIL-T levels on the prognosis of patients with DLBCL.

methodsNinety-six patients with DLBCL were enrolled in the study. The TIL-T ratio was measured using QuPath, a digital pathology software package. The TIL-T ratio was investigated in three foci (highest, intermediate, and lowest) for each case, resulting in TIL-T-Max, TIL-T-Intermediate, and TIL-T-Min. The relationship between the TIL-T ratios and prognosis was investigated.

resultsWhen 19% was used as the cutoff value for TIL-T-Max, 72 (75.0%) and 24 (25.0%) patients had high and low TIL-T-Max, respectively. A high TIL-T-Max was significantly associated with lower serum lactate dehydrogenase levels (p < .001), with patient group who achieved complete remission after RCHOP therapy (p < .001), and a low-risk revised International Prognostic Index score (p < .001). Univariate analysis showed that patients with a low TIL-T-Max had a significantly worse prognosis in overall survival compared to those with a high TIL-T-Max (p < .001); this difference remained significant in a multivariate analysis with Cox proportional hazards (hazard ratio, 7.55; 95% confidence interval, 2.54 to 22.42; p < .001).

conclusionsPatients with DLBCL with a high TIL-T-Max showed significantly better prognosis than those with a low TIL-T-Max, and the TIL-T-Max was an independent indicator of overall survival. These results suggest that evaluating TIL-T ratios using a digital pathology system is useful in predicting the prognosis of patients with DLBCL.

Indexed as

Diffuse large B-cell lymphomaDigital pathologyT lymphocytesTumor infiltrating lymphocytes

Identifiers

PMID38229430
PMCPMC10792279

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