Evidence map›Paper›PMID 40809245›Full record

ArticleJournal of thoracic disease2025

Predictive role of tumor-infiltrating lymphocytes and immune phenotype for pembrolizumab in relapsed or refractory thymic carcinoma.

Dong Hyun Kim, Yoojoo Lim, Sanghoon Song, Chan-Young Ock, Jeonghwan Youk, Miso Kim, Tae Min Kim, Dong-Wan Kim, Hak Jae Kim, Jiwon Koh and 4 more

Abstract read
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Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

14 authors.

Dong Hyun KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0369-5763
Yoojoo LimLunit, Seoul, Republic of Korea.
Sanghoon SongLunit, Seoul, Republic of Korea.
Chan-Young OckLunit, Seoul, Republic of Korea.
Jeonghwan YoukDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Miso KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Tae Min KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Dong-Wan KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hak Jae KimDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
Jiwon KohCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyeong Cheon JungDepartment of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.
Kwon Joong NaDepartment of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea.
Chang Hyun KangDepartment of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Republic of Korea.
Bhumsuk KeamDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pembrolizumab is a promising treatment option for platinum-failed thymic carcinoma; however, the lack of established predictive biomarkers remains a challenge. Therefore, this study aimed to assess the predictive value of artificial intelligence (AI)-powered tumor-infiltrating lymphocyte (TIL) analysis of pembrolizumab for thymic carcinoma. Methods: Patients with platinum-failed, advanced thymic carcinoma treated with pembrolizumab between January 2016 and December 2021 were included. Hematoxylin and eosin-stained sections from the samples closest to the time before pembrolizumab treatment were analyzed using an AI-powered TIL analyzer. Intratumoral TIL (iTILs) and stromal TIL (sTILs) were quantified, and their immune phenotypes (IP) were identified. Results: In total, 10 patients were included in this study. The best response was complete response in 1 patient (10%) and partial response in 1 patient (10%). The median progression-free survival (PFS) was 5.0 months. Patients with higher iTIL (>27.23/mm Conclusions: Increased infiltration of both iTIL and sTIL is associated with longer PFS and OS. Additionally, an inflamed IP is associated with longer PFS. Thus, TIL density and IP may be promising predictive biomarkers for pembrolizumab in patients with platinum-failed thymic carcinoma.

Indexed as

artificial intelligence (AI)immune phenotypepembrolizumabThymic carcinomatumor-infiltrating lymphocyte (TIL)

Identifiers

PMID40809245
PMCPMC12340269

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