Literature DB >> 31625630

Association of combined PD-L1 expression and tumour-infiltrating lymphocyte features with survival and treatment outcomes in patients with metastatic melanoma.

C Bence1, V Hofman1,2,3, E Chamorey4, E Long-Mira1,2,3, S Lassalle1,2,3, A F Albertini5, I Liolios6, K Zahaf1, A Picard7, H Montaudié7, J P Lacour7, T Passeron7, A A Andea8, M Ilie1,2,3, P Hofman1,2,3.   

Abstract

BACKGROUND: Recent advances obtained with immune checkpoint inhibitors (ICIs) targeting the programmed cell death-1 (PD-1) protein have significantly improved the outcome of patients with metastatic melanoma. The PD-L1 expression in tumour cells as detected by immunohistochemistry is a predictive biomarker in some solid tumours, but appears insufficient as prognostic or predictive factor of response to ICIs in metastatic melanomas.
OBJECTIVES: We investigated whether the presence and the features of pretreatment CD8+ tumour-infiltrating T lymphocytes (TILs) could be a complementary prognostic or predictive biomarker in patients with metastatic melanoma.
METHODS: In this retrospective study, we evaluated the association of PD-L1 expression ≥5% of tumour cells combined with TIL features (CD8, CD28, Ki67) with the overall survival (OS) among 51 patients treated with ICIs and 54 patients treated with other treatment options (non-ICIs).
RESULTS: PD-L1 positivity was observed in 33% and 39% of primary melanomas and matched metastases, respectively, with, however, poor concordance between the primary and the matched metastatic site (κ = 0.283). No significant association was noted between PD-L1 expression and CD8+ TIL profile analysed as single markers and OS or response to immunotherapy. Instead, their combined analysis in primary melanoma samples showed that the PD-L1-/CD8+ status was significantly associated with prolonged OS in the whole population (P = 0.04) and in the subgroup treated with non-ICIs (P = 0.009). Conversely, the PD-L1+/CD8+ status was a good prognostic factor in patients treated with ICIs (P = 0.022), whereas was significantly associated with poor prognosis in patients treated with non-ICIs (P = 0.014). While the expression of CD28 was not related to outcome, the Ki67 expression was significantly associated with poor OS in the subgroup CD8+ TIL+/PD-L1- (P = 0.02).
CONCLUSIONS: The pretreatment combination of PD-L1 expression with the level of CD8+ TILs could better assess OS and predict therapeutic response of patients with metastatic melanoma treated by either immunotherapy or other treatment regimens.
© 2019 European Academy of Dermatology and Venereology.

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Year:  2019        PMID: 31625630     DOI: 10.1111/jdv.16016

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   6.166


  5 in total

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Authors:  Toshihide Sasaki; Satoshi Nishiwada; Kenji Nakagawa; Minako Nagai; Taichi Terai; Daisuke Hokuto; Satoshi Yasuda; Yasuko Matsuo; Shunsuke Doi; Masayuki Sho
Journal:  Int J Clin Oncol       Date:  2022-02-10       Impact factor: 3.402

2.  Mucin-type sialyl-Tn antigen is associated with PD-L1 expression and predicts poor clinical prognosis in breast cancer.

Authors:  Feng Xu; Hongying Zhao; Jie Li; Hongchuan Jiang
Journal:  Gland Surg       Date:  2021-07

Review 3.  Molecular and Immune Biomarkers for Cutaneous Melanoma: Current Status and Future Prospects.

Authors:  Lorenzo Pilla; Andrea Alberti; Pierluigi Di Mauro; Maria Gemelli; Viola Cogliati; Marina Elena Cazzaniga; Paolo Bidoli; Cristina Maccalli
Journal:  Cancers (Basel)       Date:  2020-11-20       Impact factor: 6.639

4.  The impact of immune-inflammation-nutritional parameters on the prognosis of non-small cell lung cancer patients treated with atezolizumab.

Authors:  Taichi Matsubara; Shinkichi Takamori; Naoki Haratake; Ryo Toyozawa; Naoko Miura; Mototsugu Shimokawa; Masafumi Yamaguchi; Takashi Seto; Mitsuhiro Takenoyama
Journal:  J Thorac Dis       Date:  2020-04       Impact factor: 2.895

Review 5.  Biomarkers for predicting the efficacy of immune checkpoint inhibitors.

Authors:  Chengji Wang; He-Nan Wang; Liang Wang
Journal:  J Cancer       Date:  2022-01-01       Impact factor: 4.207

  5 in total

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