Evidence map›Paper›PMID 42266151›Full record

ArticleThe Kobe journal of medical sciences2026

Prognostic Effect of TTF-1 Expression and Histopathology in the Patients with Advanced Lung Adenocarcinoma Treated with Immunochemotherapy.

Natsuhiko Iwamoto, Jun Yamada, Naoe Jimbo, Nanami Yamasaki, Yukihisa Hatakeyama, Tatsunori Kiriu, Kanoko Matsumura, Masahiro Katsurada, Keiko Okuno, Kyosuke Nakata and 1 more

Abstract readMulticenter Study
In one paragraph

Article in The Kobe journal of medical sciences, 2026. 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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5 · Who and what money

Authors and funding

11 authors.

Natsuhiko IwamotoDivision of Respiratory Medicine, Kobe University Hospital, Kobe, Japan.
Jun YamadaDivision of Respiratory Medicine, Kobe University Hospital, Kobe, Japan.
Naoe JimboDepartment of Diagnostic Pathology, Kobe University Hospital, Kobe, Japan.
Nanami YamasakiDivision of Respiratory Medicine, Akashi Medical Center, Hyogo, Japan.
Yukihisa HatakeyamaDivision of Respiratory Medicine, Akashi Medical Center, Hyogo, Japan.
Tatsunori KiriuDivision of Respiratory Medicine, Hyogo Prefectural Awaji Medical Center, Hyogo, Japan.
Kanoko MatsumuraDivision of Respiratory Medicine, Takatsuki General Hospital, Osaka, Japan.
Masahiro KatsuradaDivision of Respiratory Medicine, Hyogo Prefectural Tamba Medical Center, Hyogo, Japan.
Keiko OkunoDivision of Respiratory Medicine, Hyogo Prefectural Tamba Medical Center, Hyogo, Japan.
Kyosuke NakataDivision of Respiratory Medicine, Konan Medical Center, Kobe, Japan.
Motoko TachiharaDivision of Respiratory Medicine, Kobe University Hospital, Kobe, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe International Association for the Study of Lung Cancer (IASLC) proposed a grading system based on predominant histologic subtypes and reflecting prognosis. We previously reported that thyroid transcription factor-1 (TTF-1) expression levels and tumor cell proportion are useful predictors of immunochemotherapy for lung adenocarcinoma. Building upon our previous findings that TTF-1 negativity was associated with poorer outcomes in patients receiving immunochemotherapy, this study further investigated the relationship between TTF-1 expression and IASLC histologic subtypes, and analyzed progression-free survival (PFS) according to TTF-1 expression within each histologic subtype. MATERIALS AND

methodsWe used the same multicenter retrospective dataset as in our previous study, which was conducted between January 2019 and May 2023. TTF-1 was considered positive as a predictive factor of immunochemotherapy when staining showed high TTF-1 expression. The association between TTF-1 expression, histologic subtype, and mucus-producing components was evaluated.

resultsAmong 95 patients, the positivity rate for TTF-1 was 61.1%. The negative rate of TTF-1 in mucus-producing adenocarcinomas was significantly higher than that in non-mucus-producing adenocarcinomas (18/29 [62.1%] vs. 18/63 [28.6%]; p < 0.01). As per the analysis of IASLC grade 3, the median PFS of TTF-1 negative patients was significantly worse than that of positive patients (6.0 vs. 7.6 months, p = 0.035). Among patients with solid predominant patterns, the median PFS was significantly worse in the patients with TTF-1 negative than positive (5.2 vs. 8.5 months, p = 0.014).

conclusionThis study shows that the combination of histopathology and TTF-1 expression is a predictive factor in patients treated with combined immunochemotherapy.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorImmunotherapyLung NeoplasmsThyroid Nuclear Factor 1AgedFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesBiomarkers, TumorNKX2-1 protein, humanThyroid Nuclear Factor 1Advanced lung adenocarcinomaIASLCImmunochemotherapyTTF-1

Identifiers

PMID42266151
PMCPMC13286063

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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.