Prognostic impact of count of extratumoral lymphatic permeation in lung adenocarcinoma and its relation to the immune microenvironment

Niimi, Takahiro; Nakai, Tokiko; Aokage, Keiju; Tane, Kenta; Miyoshi, Tomohiro; Samejima, Joji; Miyazaki, Saori; Taki, Tetsuro; Sakamoto, Naoya; Sakashita, Shingo; Watanabe, Reiko; Kojima, Masaru; Suzuki, Kenji; Tsuboi, Masahiro; Yamazaki, Shota

doi:10.1111/cas.15267

Cited by 4 publications

(4 citation statements)

References 30 publications

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“…The study demonstrated the prognostic value of FOXP3+ and CD8+ for stage IA LUAD. The number of FOXP3+ cells in TILs within the primary lesion was associated with number of extratumoral lymphatic permeation (ly-ext) foci that has been reported as an independent poor prognostic factor for LUAD [62]. The group of Niimi et al observed a significantly higher number of FOXP+ T cells in LUAD patients with an abundance of ly-ext foci [62].…”

Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 96%

“…The number of FOXP3+ cells in TILs within the primary lesion was associated with number of extratumoral lymphatic permeation (ly-ext) foci that has been reported as an independent poor prognostic factor for LUAD [62]. The group of Niimi et al observed a significantly higher number of FOXP+ T cells in LUAD patients with an abundance of ly-ext foci [62]. Hence, an immunosuppressive environment in LUAD might be additionally defined by extratumoral ly-ext foci.…”

Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 98%

“…Tumor-infiltrating lymphocytes have crucial prognostic values in solid tumors, considering the ability of the immune response and predicting patients' response to anticancer therapy. The association between the presence of FOXP3+ CD4+ T cells in TILs has been extensively studied in all subtypes of lung cancer [60][61][62][63].…”

Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 99%

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FOXP3: A Player of Immunogenetic Architecture in Lung Cancer

Ziółkowska-Suchanek,

Żurawek

2024

Genes

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The transcription factor forkhead box protein 3 (FOXP3) is considered to be a prominent component of the immune system expressed in regulatory T cells (Tregs). Tregs are immunosuppressive cells that regulate immune homeostasis and self-tolerance. FOXP3 was originally thought to be a Tregs-specific molecule, but recent studies have pinpointed that FOXP3 is expressed in a diversity of benign tumors and carcinomas. The vast majority of the data have shown that FOXP3 is correlated with an unfavorable prognosis, although there are some reports indicating the opposite function of this molecule. Here, we review recent progress in understanding the FOXP3 role in the immunogenetic architecture of lung cancer, which is the leading cause of cancer-related death. We discuss the prognostic significance of tumor FOXP3 expression, tumor-infiltrating FOXP3-lymphocytes, tumor FOXP3 in tumor microenvironments and the potential of FOXP3-targeted therapy.

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Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 96%

Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 98%

Section: Prognostic Significance Of Tumor-infiltrating Foxp3+ T Lymph...mentioning

confidence: 99%

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FOXP3: A Player of Immunogenetic Architecture in Lung Cancer

Ziółkowska-Suchanek,

Żurawek

2024

Genes

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“…PDT has a poor prognosis and is predisposed to relapse and metastasis, probably attributed to the peritumoral stroma, inflammation level, lymphatic infiltration, vascular infiltration, etc. (16)(17)(18). Nevertheless, the spatial heterogeneity above is tough to be observed in CT images.…”

Section: Introductionmentioning

confidence: 99%

A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study

Yang,

Dong,

et al. 2024

Front. Oncol.

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BackgroundThe novel International Association for the Study of Lung Cancer (IASLC) grading system suggests that poorly differentiated invasive pulmonary adenocarcinoma (IPA) has a worse prognosis. Therefore, prediction of poorly differentiated IPA before treatment can provide an essential reference for therapeutic modality and personalized follow-up strategy. This study intended to train a nomogram based on CT intratumoral and peritumoral radiomics features combined with clinical semantic features, which predicted poorly differentiated IPA and was tested in independent data cohorts regarding models’ generalization ability.MethodsWe retrospectively recruited 480 patients with IPA appearing as subsolid or solid lesions, confirmed by surgical pathology from two medical centers and collected their CT images and clinical information. Patients from the first center (n =363) were randomly assigned to the development cohort (n = 254) and internal testing cohort (n = 109) in a 7:3 ratio; patients (n = 117) from the second center served as the external testing cohort. Feature selection was performed by univariate analysis, multivariate analysis, Spearman correlation analysis, minimum redundancy maximum relevance, and least absolute shrinkage and selection operator. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the model performance.ResultsThe AUCs of the combined model based on intratumoral and peritumoral radiomics signatures in internal testing cohort and external testing cohort were 0.906 and 0.886, respectively. The AUCs of the nomogram that integrated clinical semantic features and combined radiomics signatures in internal testing cohort and external testing cohort were 0.921 and 0.887, respectively. The Delong test showed that the AUCs of the nomogram were significantly higher than that of the clinical semantic model in both the internal testing cohort(0.921 vs 0.789, p< 0.05) and external testing cohort(0.887 vs 0.829, p< 0.05).ConclusionThe nomogram based on CT intratumoral and peritumoral radiomics signatures with clinical semantic features has the potential to predict poorly differentiated IPA manifesting as subsolid or solid lesions preoperatively.

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