Literature DB >> 28353093

PD-L2: A prognostic marker in chromophobe renal cell carcinoma?

Franziska Erlmeier1,2, Wilko Weichert3,4, Michael Autenrieth5, Max Wiedemann6, Andres Jan Schrader7,8, Arndt Hartmann7,9, Philipp Ivanyi10, Sandra Steffens7,8.   

Abstract

In the context of cancer immunotherapy, PD-1 as well as PD-L1 has been widely studied in renal cell carcinoma (RCC). PD-1 and PD-L1 play a significant role as prognostic markers in clear cell renal cell carcinoma. In contrast, little is known about PD-L2 expression patterns in RCC, especially in rarer subtypes. The aim of this study was to evaluate the prevalence, distribution and prognostic impact of PD-L2 expression in chromophobe (ch)RCC. Eighty-one patients who underwent renal surgery due to chRCC were retrospectively evaluated. Tumor specimens were analyzed for PD-L2 expression by immunohistochemistry. Expression data were associated with clinicopathological parameters and overall survival (OS). Twenty-three (28.4%) patients showed a PD-L2 > median (PD-L2 high) staining intensity. No significant association between clinicopathological parameters and PD-L2 expression was identified. A significant difference between 5- and 10-year OS in dependence of PD-L2 expression was found (PD-L2 low 96.4 and 87.7% vs. PD-L2 high 87.1 and 56%; log rank, p = 0.029). However, in multivariate analysis PD-L2 expression failed to be proofed as an independent prognostic factor. In conclusion, to our knowledge this is the first study evaluating the prognostic impact of PD-L2 in a considerably large cohort of chRCC. Our results showed a significant diminished OS in dependence of PD-L2 expression. This implicates that PD-L2 might play a role as prognostic marker in chRCC demanding further evaluation.

Entities:  

Keywords:  Chromophobe histology; PD-L2; Renal cell carcinoma; Survival

Mesh:

Substances:

Year:  2017        PMID: 28353093     DOI: 10.1007/s12032-017-0926-1

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  24 in total

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  8 in total

1.  PD-L2 Serves as a Potential Prognostic Biomarker That Correlates With Immune Infiltration and May Predict Therapeutic Sensitivity in Lower-Grade Gliomas.

Authors:  Qijun Xie; Xianlong Huang; Wu Huang; Fang Liu
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

Review 2.  Prognostic impact of PD-1 and its ligands in renal cell carcinoma.

Authors:  Franziska Erlmeier; Wilko Weichert; Andres Jan Schrader; Michael Autenrieth; Arndt Hartmann; Sandra Steffens; Philipp Ivanyi
Journal:  Med Oncol       Date:  2017-04-21       Impact factor: 3.064

Review 3.  [Chromophobe renal cell carcinoma-diagnosis and prognosis].

Authors:  F Erlmeier
Journal:  Pathologe       Date:  2019-12       Impact factor: 1.011

Review 4.  Programmed cell death-ligand 2: A neglected but important target in the immune response to cancer?

Authors:  Cinzia Solinas; Marco Aiello; Esdy Rozali; Matteo Lambertini; Karen Willard-Gallo; Edoardo Migliori
Journal:  Transl Oncol       Date:  2020-07-01       Impact factor: 4.243

5.  PD-L2 expression is correlated with the molecular and clinical features of glioma, and acts as an unfavorable prognostic factor.

Authors:  Zhi-Liang Wang; Guan-Zhang Li; Qiang-Wei Wang; Zhao-Shi Bao; Zheng Wang; Chuan-Bao Zhang; Tao Jiang
Journal:  Oncoimmunology       Date:  2018-11-20       Impact factor: 8.110

6.  The prevalence and prognostic and clinicopathological value of PD-L1 and PD-L2 in renal cell carcinoma patients: a systematic review and meta-analysis involving 3,389 patients.

Authors:  Yi Lu; Yuxuan Song; Yawei Xu; Ningjing Ou; Zhen Liang; Rui Hu; Wei Zhang; Jiaqi Kang; Xianhao Wang; Li Liu; Yongjiao Yang; Xiaoqiang Liu
Journal:  Transl Androl Urol       Date:  2020-04

Review 7.  Genetic, transcriptional and post-translational regulation of the programmed death protein ligand 1 in cancer: biology and clinical correlations.

Authors:  Ioannis Zerdes; Alexios Matikas; Jonas Bergh; George Z Rassidakis; Theodoros Foukakis
Journal:  Oncogene       Date:  2018-05-16       Impact factor: 9.867

8.  Identification and Analysis of Novel Biomarkers Involved in Chromophobe Renal Cell Carcinoma by Integrated Bioinformatics Analyses.

Authors:  Wei Zhang; Yin Xu; Jinghan Zhang; Jun Wu
Journal:  Biomed Res Int       Date:  2020-02-07       Impact factor: 3.411

  8 in total

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