Literature DB >> 27376268

PD-L1 Immunohistochemical Detection in Tumor Cells and Tumor Microenvironment: Main Considerations on the Use of Tissue Micro Arrays.

Gerardo Botti1, Giosuè Scognamiglio2, Monica Cantile3.   

Abstract

PD-1/PD-L1 (programmed death 1/programmed death ligand 1) pathway plays a critical role in immune escape of tumor cells. Recent studies have described that PD-L1 is heterogeneously expressed in various types of cancer, although its prognostic/predictive value is still uncertain. These problems are partly due to a not well defined operating protocol for its detection by immunohistochemistry, but also because most of the studies conducted on large case series were made by Tissue Micro Array (TMA). We are going to discuss this latter point, to highlight that TMA must be set up in an appropriate manner, especially for some markers, such as PD-L1, which, besides being poorly expressed in tumor cells, can be expressed by cells of the tumor microenvironment.

Entities:  

Keywords:  PD-L1 immunohistochemical (IHC) detection; TMA; tumor microenvironment

Mesh:

Substances:

Year:  2016        PMID: 27376268      PMCID: PMC4964422          DOI: 10.3390/ijms17071046

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


1. To the Editor

PD-L1 is a checkpoint receptor that plays an immune-regulatory role in T-cell activation, tolerance and immune-mediated tissue damage [1]. Several studies have recently shown that the PD-1/PD-L1 pathway may have a key role in the interaction of tumor cells with host immune response, and PD-L1 expression in tumor cells may function as a mechanism of adaptive immune resistance. This mechanism of “immune-escape” allows tumor cells to limit T-cells activity in the tumor microenvironment [2]. Despite the importance of PD1/PD-L1 interaction in tumor elusion, the exact mechanism of how PD1/PD-L1 interaction affects tumor microenvironments to promote the escape of tumor cells from anti-tumor immuno-surveillance is not clear. In addition, many inaccuracies were often provided about the prognostic/predictive role of PD-L1 in cancer. Tumor expression of PD-L1 was associated with cancer progression and poor prognosis of various human cancers [3], but the data available in literature are not uniform and are often conflicting. This problem might be, in part, associated with the use of different clones of antibodies, with variable specificity, and mainly with a score that is not uniquely defined, but also because most of the studies carried out on large case series have been performed on a Tissue Micro Array (TMA) [4,5,6,7]. In fact, although the application of TMA has completely revolutionized biomedical research for certain proteins, such as membrane receptors, cancer stem cells markers, and others with a low range of expressions, this technology should be used in an appropriate manner. Usually, PD-L1 is present on tumor cells with a very low expression level, and with a heterogeneous distribution in different tumor types [8]. Often, its expression is more evident on the invasive tumor front, barely represented in TMA cores. Moreover, PD-L1 could also be expressed in the tumor microenvironment, in particular in infiltrating lymphocytes (TIL), monocytes and macrophages [9]. Taube et al. [9] found that the expression of PD-L1 in tumor cells and immune cells was highly associated with PD-1 expression in infiltrating lymphocytes, and had the strongest association with response to nivolumab. This data suggested to measure, not only PD-L1 tumor cell positivity, but also PD-L1 expression in immune-infiltrating cells, for prediction of immune checkpoint therapy response. This also represents an important limitation in the use of TMA, where cores are generally chosen within the tumor area and are not sufficiently representative of the tumor microenvironment. We have recently had the opportunity to analyze the expression of PD-L1 on a large casuistry of different tumor types. In selected cases, we compared the expression of PD-L1 in TMA cores and in single/whole sections of the same samples. This has allowed us to re-evaluate, in most of the cases, the expression, assigning values in terms of positive cells percentage completely different from those assigned to TMA cores. Moreover, in some cases, cores that originally were totally negative for PD-L1 expression showed areas of positivity in the whole sections. In particular, we detected a positive staining of tumor cells (Figure 1, detail in the red circle) and lymphocytes (Figure 1, detail in the yellow circle) on the invasive tumor front, while some of the selected cores used for the assemblage of TMA showed a negative staining for tumor cells (Figure 1, detail in the blue circle) and for lymphocytes in tumor microenvironment (Figure 1, detail in the green circle).
Figure 1

Immunohistochemical staining of PD-L1 in a melanoma sample: Whole section image (20×) with positive tumor cells (detail in red circle, 400×) and positive lymphocytes (detail in the yellow circle, 400×) on invasive tumor front, negative tumor cells (detail in blue circle, 400×), and negative lymphocytes in tumor microenvironment (detail in green circle 400×).

2. Conclusions

Our personal experience in TMA employment for PD-L1 detection in some solid human tumors, has allowed us to define the inadequacy of this technique for the its detection, suggesting to analyze the whole section, or to consider, during the preparation of the TMA, the use of multiple cores to be representative of the entire tumor area and the tumor microenvironment [10]. In conclusion, we suggest, in addition to standardization of immunohistochemical (IHC) protocols for the detection of PD-L1 in tumor cells and tumor microenvironments of different cancer subtypes with a definition of adequate cut-offs, to also evaluate its expression in the whole section, to correctly define the real prognostic and predictive value of this marker in tumor disease.
  10 in total

1.  Expression of programmed death ligand 1 (PD-L1) is associated with poor prognosis in human breast cancer.

Authors:  S Muenst; A R Schaerli; F Gao; S Däster; E Trella; R A Droeser; M G Muraro; P Zajac; R Zanetti; W E Gillanders; W P Weber; S D Soysal
Journal:  Breast Cancer Res Treat       Date:  2014-05-20       Impact factor: 4.872

2.  Tissue micro arrays for immunohistochemical detection of inflammatory infiltrates in renal cell carcinoma.

Authors:  Giosuè Scognamiglio; Monica Cantile; Stefania Scala; Sabrina Cecere; Federica Russo; Francesca Collina; Laura Marra; Francesco Sabbatino; Gerardo Botti; Renato Franco
Journal:  Int J Clin Exp Med       Date:  2014-04-15

3.  PD-L1 expression in triple-negative breast cancer.

Authors:  Elizabeth A Mittendorf; Anne V Philips; Funda Meric-Bernstam; Na Qiao; Yun Wu; Susan Harrington; Xiaoping Su; Ying Wang; Ana M Gonzalez-Angulo; Argun Akcakanat; Akhil Chawla; Michael Curran; Patrick Hwu; Padmanee Sharma; Jennifer K Litton; Jeffrey J Molldrem; Gheath Alatrash
Journal:  Cancer Immunol Res       Date:  2014-01-10       Impact factor: 11.151

4.  Association of PD-1, PD-1 ligands, and other features of the tumor immune microenvironment with response to anti-PD-1 therapy.

Authors:  Janis M Taube; Alison Klein; Julie R Brahmer; Haiying Xu; Xiaoyu Pan; Jung H Kim; Lieping Chen; Drew M Pardoll; Suzanne L Topalian; Robert A Anders
Journal:  Clin Cancer Res       Date:  2014-04-08       Impact factor: 12.531

5.  Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion.

Authors:  Haidong Dong; Scott E Strome; Diva R Salomao; Hideto Tamura; Fumiya Hirano; Dallas B Flies; Patrick C Roche; Jun Lu; Gefeng Zhu; Koji Tamada; Vanda A Lennon; Esteban Celis; Lieping Chen
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Review 6.  PD-1 and its ligands in tolerance and immunity.

Authors:  Mary E Keir; Manish J Butte; Gordon J Freeman; Arlene H Sharpe
Journal:  Annu Rev Immunol       Date:  2008       Impact factor: 28.527

7.  Quantitative Assessment of the Heterogeneity of PD-L1 Expression in Non-Small-Cell Lung Cancer.

Authors:  Joseph McLaughlin; Gang Han; Kurt A Schalper; Daniel Carvajal-Hausdorf; Vasiliki Pelekanou; Jamaal Rehman; Vamsidhar Velcheti; Roy Herbst; Patricia LoRusso; David L Rimm
Journal:  JAMA Oncol       Date:  2016-01       Impact factor: 31.777

Review 8.  PD-L1 and Survival in Solid Tumors: A Meta-Analysis.

Authors:  Pin Wu; Dang Wu; Lijun Li; Ying Chai; Jian Huang
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

9.  Frequent PD-L1 expression in testicular germ cell tumors.

Authors:  C D Fankhauser; A Curioni-Fontecedro; V Allmann; J Beyer; V Tischler; T Sulser; H Moch; P K Bode
Journal:  Br J Cancer       Date:  2015-07-14       Impact factor: 7.640

10.  Variability in Immunohistochemical Detection of Programmed Death Ligand 1 (PD-L1) in Cancer Tissue Types.

Authors:  Giosuè Scognamiglio; Anna De Chiara; Maurizio Di Bonito; Fabiana Tatangelo; Nunzia Simona Losito; Annamaria Anniciello; Rossella De Cecio; Crescenzo D'Alterio; Stefania Scala; Monica Cantile; Gerardo Botti
Journal:  Int J Mol Sci       Date:  2016-05-21       Impact factor: 5.923

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1.  HHLA2 is a novel immune checkpoint protein in pancreatic ductal adenocarcinoma and predicts post-surgical survival.

Authors:  Han Yan; Wanglong Qiu; Anne K Koehne de Gonzalez; Ji-Shu Wei; Min Tu; Chun-Hua Xi; Ye-Ran Yang; Yun-Peng Peng; Wei-Yann Tsai; Helen E Remotti; Yi Miao; Gloria H Su
Journal:  Cancer Lett       Date:  2018-11-14       Impact factor: 8.679

2.  Expression of PD-L1 and presence of CD8-positive T cells in pre-treatment specimens of locally advanced cervical cancer.

Authors:  Emeka K Enwere; Elizabeth N Kornaga; Michelle Dean; Theodora A Koulis; Tien Phan; Maria Kalantarian; Martin Köbel; Prafull Ghatage; Anthony M Magliocco; Susan P Lees-Miller; Corinne M Doll
Journal:  Mod Pathol       Date:  2017-01-06       Impact factor: 7.842

3.  PD-L1 and PD-1 and characterization of tumor-infiltrating lymphocytes in high grade sarcomas of soft tissue - prognostic implications and rationale for immunotherapy.

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Journal:  Oncoimmunology       Date:  2017-11-20       Impact factor: 8.110

4.  Expression of Programmed Death Ligand 1 (PD-L1) in Posttreatment Primary Inflammatory Breast Cancers and Clinical Implications.

Authors:  Jing He; Lei Huo; Junsheng Ma; Jun Zhao; Roland L Bassett; Xiaoping Sun; Naoto T Ueno; Bora Lim; Yun Gong
Journal:  Am J Clin Pathol       Date:  2018-02-17       Impact factor: 2.493

5.  Tumor Microenvironment and Metabolism.

Authors:  Li V Yang
Journal:  Int J Mol Sci       Date:  2017-12-16       Impact factor: 5.923

6.  PD-L1 expression in pleomorphic, spindle cell and giant cell carcinoma of the lung is related to TTF-1, p40 expression and might indicate a worse prognosis.

Authors:  Violaine Yvorel; Arnaud Patoir; François Casteillo; Claire Tissot; Pierre Fournel; Marie-Laure Stachowicz; Georgia Karpathiou; Olivier Tiffet; Michel Péoc'h; Fabien Forest
Journal:  PLoS One       Date:  2017-07-03       Impact factor: 3.240

7.  The adequacy of tissue microarrays in the assessment of inter- and intra-tumoural heterogeneity of infiltrating lymphocyte burden in leiomyosarcoma.

Authors:  A T J Lee; W Chew; C P Wilding; N Guljar; M J Smith; D C Strauss; C Fisher; A J Hayes; I Judson; K Thway; R L Jones; P H Huang
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

8.  Targeting the Formyl Peptide Receptor type 1 to prevent the adhesion of ovarian cancer cells onto mesothelium and subsequent invasion.

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9.  PD-L1 immunohistochemistry in non-small-cell lung cancer: unraveling differences in staining concordance and interpretation.

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10.  Four distinct immune microenvironment subtypes in gastric adenocarcinoma with special reference to microsatellite instability.

Authors:  Junhun Cho; Young Hwan Chang; You Jeong Heo; Seungtae Kim; Nayoung Kd Kim; Joon Oh Park; Won Ki Kang; Jeeyun Lee; Kyoung-Mee Kim
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