Evidence map›Paper›PMID 41537163›Full record

ArticleMolecular therapy. Oncology2026

Novel syngeneic model of anti-mouse CLDN18.2 CAR -T therapy for gastric cancer demonstrates a synergy with TGF-β and PD-L1 inhibitors.

Min-Jung Seo, Jin Hue Jeong, Han Na Park, In-Pyo Baek, Jun Won Park, Seo Young Kim, Yu Ri Choi, Seulki Choi, Seung Min Ham, Dongmin Park and 3 more

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Min-Jung SeoNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Jin Hue JeongNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Han Na ParkNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
In-Pyo BaekDepartment of Bioinformatics & Life Science, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul 06978, Republic of Korea.
Jun Won ParkNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Seo Young KimNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Yu Ri ChoiNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Seulki ChoiNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Seung Min HamNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Dongmin ParkNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Hye-Ran KimNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Ho Kyung SeoNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.
Hark Kyun KimNational Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are very few syngeneic mouse cell line models available for gastric cancer owing to the rarity of stomach epithelium-specific promoter. Mouse cell line models are useful to study an immunologically intact tumor microenvironment, especially in the setting of CAR-T studies that often use immunocompromised mice. To establish a mouse cell line faithfully recapitulating human gastric cancer, we generated the S6M cell line from an autochthonous gastric cancer formed in the stomach of a female mouse deficient in

Indexed as

CAR-Tclaudingastric cancermouseMT: Regular Issuetransforming growth factor

Identifiers

PMID41537163
PMCPMC12796737

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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.