Prognostic Significance of Tumor Immunity in Surgically Resected Pulmonary Pleomorphic Carcinoma.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 14 11 2019
revised: 24 11 2019
accepted: 28 11 2019
entrez: 2 1 2020
pubmed: 2 1 2020
medline: 11 1 2020
Statut: ppublish

Résumé

Pulmonary pleomorphic carcinoma (PPC) is a rare aggressive neoplasm, with dismal prognosis. Whether tumor immunity is associated with the progressive biological behavior of PPC remains unclear. The purpose of this study was to examine the prognostic significance of tumor immunity-related markers such as programmed death-1 ligand (PD-L1) and CD4 Ninety-nine patients with surgically resected PPC were assessed by immunohistochemistry. The expression of PD-L1, CD4, and CD8 was examined in specimens of the resected tumors. PD-L1 was highly expressed in 61% (60/99) of lesions and high expression of CD4 and CD8 was identified in 42% (42/99) and 51% (51/99) of lesions, respectively. There was no relationship between the expression PD-L1 and the numbers of CD4 A low number of CD4

Sections du résumé

BACKGROUND BACKGROUND
Pulmonary pleomorphic carcinoma (PPC) is a rare aggressive neoplasm, with dismal prognosis. Whether tumor immunity is associated with the progressive biological behavior of PPC remains unclear. The purpose of this study was to examine the prognostic significance of tumor immunity-related markers such as programmed death-1 ligand (PD-L1) and CD4
PATIENTS AND METHODS METHODS
Ninety-nine patients with surgically resected PPC were assessed by immunohistochemistry. The expression of PD-L1, CD4, and CD8 was examined in specimens of the resected tumors.
RESULTS RESULTS
PD-L1 was highly expressed in 61% (60/99) of lesions and high expression of CD4 and CD8 was identified in 42% (42/99) and 51% (51/99) of lesions, respectively. There was no relationship between the expression PD-L1 and the numbers of CD4
CONCLUSION CONCLUSIONS
A low number of CD4

Identifiants

pubmed: 31892575
pii: 40/1/261
doi: 10.21873/anticanres.13948
doi:

Substances chimiques

B7-H1 Antigen 0
Biomarkers, Tumor 0
CD274 protein, human 0
CD4 Antigens 0
CD8 Antigens 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

261-269

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Kyoichi Kaira (K)

Department of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan kkaira1970@yahoo.co.jp.
Department of Innovative Immune-Oncology Therapeutics, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Department of Respiratory Medicine, Comprehensive Cancer Center, International Medical Center, Saitama Medical University, Saitama, Japan.

Kimihiro Shimizu (K)

Department of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.

Hideki Endoh (H)

Department of Thoracic Surgery, Saku Central Hospital Advanced Care Center, Saku, Japan.

Kazuyoshi Imaizumi (K)

Department of Respiratory Medicine, Fujita Health University, Toyoake, Japan.

Mitsuhiro Kamiyoshihara (M)

Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Japan.

Masayuki Sugano (M)

Department of Respiratory Surgery, Takasaki Medical Center, Takasaki, Japan.

Osamu Kawashima (O)

Department of Respiratory Surgery, Shibukawa Medical Center, Shibukawa, Japan.

Shigefumi Tanaka (S)

Department of Respiratory Surgery, Isesaki Municipal Hospital, Isesaki, Japan.

Atsushi Fujita (A)

Division of Thoracic Surgery, Gunma Prefectural Cancer Center, Ota, Japan.

Hisao Imai (H)

Division of Respiratory Medicine, Gunma Prefectural Cancer Center, Ota, Japan.

Yoshihito Kogure (Y)

Department of Respiratory Medicine, Nagoya Medical Center, Nagoya, Japan.

Tetsunari Oyama (T)

Department of Diagnostic Pathology, Gunma University, Graduate School of Medicine, Maebashi, Japan.

Takayuki Asao (T)

Big Data Center for Integrative Analysis, Gunma University Initiative for Advance Research, Maebashi, Japan.

Ken Shirabe (K)

Department of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Department of Innovative Immune-Oncology Therapeutics, Gunma University, Graduate School of Medicine, Maebashi, Japan.

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Classifications MeSH