Literature DB >> 34466408

High Immunoexpression of COX-2 as a Metastatic Risk Factor in ccRCC without PD-L1 Involvement.

Sri Suryanti1, Hasrayati Agustina1, Afiati Aziz1, Herry Yulianti1, Bethy Suryawathy1, Lestari Putri1.   

Abstract

INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) is the most lethal type of malignancy of the urinary tract system as it is resistant to chemotherapy and radiation and has a survival rate of less than 5% in cases of metastasis. Inflammation plays an essential role in the metastasis of ccRCC. Cyclooxygenase-2 (COX-2) is an inflammatory protein that affects the processes of carcinogenesis, invasion, migration, metastasis, and angiogenesis. COX-2 can modulate programmed death ligand-1 (PD-L1) expression and play a role in immune evasion, meaning that tumor cells are able to escape the body's immune response and more easily metastasize.
PURPOSE: This study aims to determine the role of COX-2 and PD-L1 in the occurrence of ccRCC metastases.
MATERIALS AND METHODS: This study is an observational analytical study, which employed a cross-sectional approach to examine the paraffin block samples of 40 ccRCC cases from Dr. Hasan Sadikin Hospital Bandung, Indonesia, between 2014 and 2021. Immunoexpression was measured using immunohistochemical staining for COX-2 in tumor cells and for PD-L1 in immune cells. PD-L1 calculation was measured using Qupath 0.2.3. digital software. Metastatic data were obtained using radiological imaging and pathological examinations. Meanwhile, the data were analyzed using the chi-square test for COX-2 and Fischer's exact test for PD-L1.
RESULTS: The research results revealed a significant association between COX-2 and the occurrence of metastases in ccRCC (p=0.001) with a prevalence odds ratio of 10.28. Positive PD-L1 immunoexpression of the immune cells (≥1%) was found in 14% (3/21) of the metastatic group and 5% (1/19) of the non-metastatic group (p=0.607). There was no association between COX-2 and PD-L1 immunoexpression (p=0.278).
CONCLUSION: This study shows that metastases in ccRCC patients are ten times as likely to be associated with high COX-2 immunoexpression than low COX-2 immunoexpression. COX-2 plays a role in the process of ccRCC metastasis without PD-L1 involvement.
© 2021 Suryanti et al.

Entities:  

Keywords:  clear cell renal cell carcinoma; cyclooxygenase-2; metastasis; programmed death ligand-1

Year:  2021        PMID: 34466408      PMCID: PMC8403071          DOI: 10.2147/RRU.S324510

Source DB:  PubMed          Journal:  Res Rep Urol        ISSN: 2253-2447


Introduction

Clear cell Renal Cell Carcinoma (ccRCC) is the main histological subtype of renal epithelial malignancies, and originates in proximal tubular epithelial cells, with an increasing incidence worldwide.1,2 Metastasis is the cause of 90% of deaths in patients with ccRCC,2 with ccRCC metastases often not exhibiting specific clinical symptoms or laboratory results. In some cases, detection can be delayed until late in the latency period following surgical removal of the tumor.3 Therefore, early detection of potential metastases is imperative to provide appropriate treatment for a better prognosis. Clear cell RCC are known to be resistant to chemotherapy and radiotherapy, making it easier for tumor cells to become aggressive and metastasize. One of the main biological characteristics of ccRCC behind this phenomenon is that ccRCC tumors are highly vascularized. The main pathogenesis of ccRCC is the inactivation of the key oxygen-sensing gene, the Von Hippel Lindau (VHL) gene. Inactivation of the VHL gene causes an accumulation of hypoxia-inducible factor-1α (HIF-1α), which affects the tumor microenvironment (TME) and thus potentially supporting the tumor’s progression to invasion and metastasis.4 Invasion and metastasis is a complex process, involving interactions between tumor cells, the extracellular matrix (ECM), adhesion molecules, and blood vessels, which act as a crucial point-of-access for tumor cells to spread to the site of metastasis. The interaction process is mediated by inflammatory cytokines, which are the primary mediators of metastasis.5 Cytokines from tumor cells are produced through inflammation-related pathways, including the VHL pathway, mammalian target of rapamycin (mTOR) pathway, signal transducer and activator of transcription (STAT3) pathway, and tumor necrosis factor (TNF) pathway. All inflammation-related pathways can stimulate cytokines from tumor cells, which may lead to the induction of COX-2 overexpression. The VHL pathway is the main inflammation-related pathway for ccRCC.4,5 COX-2 is a pleiotropic enzyme produced by various cancer cells. COX-2 plays a role in carcinogenesis and the resistance of cancer cells to chemotherapy and radiotherapy.6 Additionally, COX-2 also affects angiogenesis, which is essential for successful metastasis of ccRCC.7 COX-2 modulates the expression of programmed death ligand-1 (PD-L1) on immune cells around the tumor, which are a main component of the immune checkpoint.8 PD-L1 is expressed by tumor cells and immune cells located around the tumor. PD-L1 produced by immune cells are a result of adapted immune resistance influenced by tumor immunogenicity, thus determining the clinical efficacy of anti-PD-1/PD-L1 therapy.9,10 Antiangiogenic therapy for patients with metastatic ccRCC is costly and resistance has been reported.11 COX-2 inhibitors are economical anti-inflammatory and antiangiogenic, and are widely used in breast and colorectal carcinomas.12,13 Anti-PD-L1 therapy has been used in a wide range of countries.14 However, studies have revealed that PD-L1 expression in ccRCC varies greatly. Numerous studies on the association between COX-2 and PD-L1 immunoexpression in melanomas,8 urothelial carcinomas,15 and breast carcinomas have been conducted.16,17 Despite this, similar studies on ccRCC are limited. This study aims to analyze the respective association between COX-2 and PD-L1 immunoexpression in the occurence of metastases in ccRCC. The research results will assist in explaining the role of inflammation in the pathogenesis of metastatic ccRCC, and may be used as a theoretical basis for the use of COX-2 inhibitors and PD-L1 as supportive therapies.

Materials and Methods

This study employed an analytical observational research design using cross-sectional methods. Sampling was conducted using the consecutive sampling technique, and taken from the paraffin blocks of patients at Dr. Hasan Sadikin Hospital in Bandung, Indonesia, between January 2014 and May 2021, which met the inclusion and exclusion criteria. Inclusion criteria included the paraffin blocks of patients who had undergone radical nephrectomy surgery and been diagnosed with histopathologic ccRCC, with no missing data. Exclusion criteria included paraffin blocks obtained through biopsies, or with an insufficient tumor mass.

Ethical Clearance

The study’s use of subjects and patients’ clinical data was approved by the board of the Medical and Health Research Ethics Committee at Dr. Hasan Sadikin Hospital in Bandung, Indonesia, on May 31 2021 (Reference No.: 463/UN6.KEP/EC/2021), in compliance with the provisions set out in the Declaration of Helsinki. Confidentiality of the patients’ data was ensured by withholding the patients’ personal data.

Clinicopathological Parameters

The clinicopathological parameters included analyses of age, sex, and kidney laterality; nuclear grading based on criteria from the International Society of Urological Pathology (ISUP); rhabdoid and sarcomatoid differentiation; stages; and metastasis. Metastatic data were obtained using radiological examinations, or histopathological or cytopathological examinations from a tissue biopsy or fine-needle aspiration biopsy. Subjects included patients with metastatic ccRCC diagnosed either at the time of nephrectomy or after the latency period from 2014 until the commencement of the research in 2021.

Immunohistochemical Evaluation and Staining

Immunohistochemical staining of all samples was conducted in accordance with the streptavidin-biotin immunoperoxidase complex label method using One-step Neopoly Detection Kits (Biogear Scientific, BioVentures, Inc., Iowa, USA). Paraffin blocks were cut to 4µm thickness, then cleaned using xylol and rehydrated using an alcohol solution. The antigens were obtained using a decloaking device for 45–60 minutes at 98 degrees Celsius. Immunohistochemical staining was conducted using COX-2 primary antibodies (mouse monoclonal antihuman cyclooxygenase-2 clone 3D4 (BZ-089830F-AM) Bioenzy, Shanghai, China) with a dilution of 1: 400, overnight at 4 degrees Celsius, and PD-L1 primary antibodies (rabbit monoclonal antibody SP142 Paint #ab228462 (Abcam, Cambridge, UK) with a dilution of 1: 300. COX-2 immunoexpression was assessed by measuring the brown staining in the cytoplasm of the tumor cells in 10 fields of view, and then taking the average for each field of view. Values ≥ 10% were considered high, while those <10% were classified as low.7 PD-L1 immunoexpression was quantitatively assessed by calculating the total number of stained immune cells within the tumor, which frequently exhibited dark brown punctuate, circumferential, or linear coloring, using Qupath 0.2.3 digital software (Queen’s University of Belfast, Northern Ireland, UK).18 The majority of the immune cells were morphologically consistent with lymphocytes, dendritic cells, macrophages, and granulocytes. Tumor cells and immune cells are differentiated by their morphology. ccRCC Tumor cells are typically more than twice as large as immune cells. They also have a clear cytoplasm and distinct membrane.2 The denominator was the total number of all tumor cells. Values ≥1% were classified as positive, while those <1% were categorized as negative.8 The assessment was conducted by three anatomical pathology specialists before being informed of the patients’ characteristics. All discrepancies found were re-evaluated, preferencing the dominant result.

Statistical Data Analysis

This study is an observational analysis adopting a cross-sectional method. COX-2 were statistically analyzed using the Chi-square test, while PD-L1 were statistically analyzed using Fischer’s exact test. A p-value <0.05 was considered significant. The data were tabulated and then processed using Statistical Package for the Social Science (SPSS) software (version 22.0, IBM SPSS Corp., Armonk, NY, USA). Risk estimates were statistically analyzed using the Prevalence Odds Ratio (POR) function in SPSS. POR is the preferred method of measuring association in cross-sectional studies of chronic diseases or studies on long-lasting risk factors.19

Results

Research Subject Characteristics

A total number of 65 samples were collected from the research subjects. However, only 40 samples met the inclusion and exclusion criteria. The mean age of the patients included as research subjects was 51 years with an age range of 22–80 years old, 72.5% of the patients were male and 27.5% were female, and the nuclear grading of most grade 2 and 3 ISUP was 30/40 (75%), respectively, with 6/40 (15%) rhabdoid differentiation, and 3/40 (7.5%) sarcomatoid differentiation. Unilateral renal involvement was found in the largest proportion of patients, or 38/40 (95%). The largest tumor stage encountered was stage 4 in 33 (82.5%) of the patients. Twenty-five (62.5%) of the patients exhibited high COX-2 immunoexpression, while 15 (37.5%) exhibited low COX-2 immunoexpression. Positive PD-L1 immunoexpression was found in four of the forty cases (10%), while negative PD-L1 immunoexpression was found in 36 cases (90%). Twenty-one cases were metastatic (52.5%), consisting of 19 patients who were diagnosed with metastasis at the time of nephrectomy. The other two patients were diagnosed after the latency period. Nineteen (47.5%) of the forty cases were non-metastatic. The characteristic of ccRCC patients in dependence of metastasis are presented in Table 1.
Table 1

Research Subject Characteristics

VariableCasesp-value
Non-Metastatic ccRCC Group (N=19)Metastatic ccRCC Group (N=21)
Age0.655
Mean ±Std52.26±13.27450.33±13.793
Median52.0048.00
Range (min-max)22.00–71.0028.00–80.00
Gender0.873
Male14(74%)15(71%)
Female5(26%)6(29%)
Laterality1.000
Unilateral18 (94.7%)20 (95.2%)
Bilateral1 (5.3%)1 (4.8%)
Nuclear Grading ISUP0.552
10 (0%)0 (0%)
26 (31.6%)10 (47.6%)
38 (42.1%)6 (28.6%)
45 (26.3%)5 (23.8%)
Rhabdoid Differentiation0.085
Yes5 (26.3%)1 (4.8%)
No14 (73.7%)20 (95.2%)
Sarcomatoid Differentiation0.233
Yes0 (0%)3 (14.3%)
No19 (100%)18 (85.7%)
Stage0.135
 10 (0%)0 (0%)
 23 (15.8%)0 (0%)
 32 (10.5%)2 (9.5%)
 414(73.7%)19 (90.5%)

Abbreviations: ccRCC, Clear Cell Renal Cell Carcinoma; ISUP, International Society of Urological Pathology.

Research Subject Characteristics Abbreviations: ccRCC, Clear Cell Renal Cell Carcinoma; ISUP, International Society of Urological Pathology.

Immunoexpression COX-2 and PD-L1

COX-2 and PD-L1 staining was performed on all samples. The staining results were evaluated based on the distribution of tumor cells stained for COX-2 and immune cells stained for PD-L1. COX-2 and PD-L1 immunoexpression are presented in Figures 1 and 2.
Figure 1

(A) High COX-2 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (B) Low COX-2 immunoexpression in clear cell renal cell carcinoma (IHC;400x).

Figure 2

(A) Positive PD-L1 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (B) Negative PD-L1 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (C) PD-L1 SP142 scoring system on immune cells using QuPath 0.2.3 digital software (IHC;400x).

(A) High COX-2 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (B) Low COX-2 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (A) Positive PD-L1 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (B) Negative PD-L1 immunoexpression in clear cell renal cell carcinoma (IHC;400x). (C) PD-L1 SP142 scoring system on immune cells using QuPath 0.2.3 digital software (IHC;400x).

The Association Between COX-2 Immunoexpression and ccRCC Metastasis

The association between COX-2 immunoexpression and metastasis is presented in Table 2. Based on Table 2, 18/21 subjects (85.7%) in the metastatic group and 7/19 subjects (36.8%) in the non-metastatic group had positive COX-2 immune expression (≥10%). The statistical analysis revealed a p-value of 0.001 (p<0.05) with a prevalence odds ratio (POR) of 10.28, meaning that there is a significant association between COX-2 immunoexpression and metastasis in ccRCC.
Table 2

The Association Between COX-2 Immunoexpression and Metastasis in ccRCC

Casesp-valuePOR (95% CI)
Non-Metastatic ccRCC Group n=19Metastatic ccRCC Group n=21
COX-2
Low (<10%)12 (63.2%)3 (14.3%)0.001*10.286 (2.211–47.842)
High (≥10%)7 (36.8%)18 (85.7%)

Note: *Chi-Square Test, (p-value significant <0.05).

Abbreviations: POR, Prevalence Odds Ratio; ccRCC, Clear Cell Renal Cell Carcinoma; COX-2, Cyclooxygenase-2.

The Association Between COX-2 Immunoexpression and Metastasis in ccRCC Note: *Chi-Square Test, (p-value significant <0.05). Abbreviations: POR, Prevalence Odds Ratio; ccRCC, Clear Cell Renal Cell Carcinoma; COX-2, Cyclooxygenase-2.

The Association Between PD-L1 Immunoexpression and ccRCC Metastasis

The association between PD-L1 immunoexpression and metastasis is described in Table 3. Based on Table 3, 3/18 subjects (14.3%) in the metastatic group and 1/18 subjects (5%) in the non-metastatic group had positive PD-L1 immunoexpression (≥1%). Based on the statistical analysis, the p-value was 0.607 (p> 0.05), meaning that there is no significant association between PD-L1 immunoexpression and metastasis.
Table 3

The Association Between PD-L1 Immunoexpression and Metastasis in ccRCC

Casesp-value
Non-Metastatic ccRCC Group n=19 n (%)Metastatic ccRCC Group n=21 n (%)
PD-L10.607
Negative (<1%)18 (94.7%)18 (85.7)
Positive (≥1%)1 (5.3%)3 (14.3)

Note: Fischer’s exact Test (p-value significant <0.05).

The Association Between PD-L1 Immunoexpression and Metastasis in ccRCC Note: Fischer’s exact Test (p-value significant <0.05).

The Association Between COX-2 and PD-L1 in ccRCC

The data in Table 4 show that there is no association between COX-2 and PD-L1 immunoexpression (p=0.278).
Table 4

Association Between COX-2 and PD-L1 in ccRCC

PD-L1p-value
Negative (<1%)Positive (≥1%)
COX-20.278
Low (<10%)15 (41.7%)0 (0%)
High (≥10%)21 (58.3%)4 (100%)

Note: Fischer’s exact test (p-value significant <0.05).

Abbreviations: ccRCC, Clear Cell Renal Cell Carcinoma; COX-2, Cyclooxygenase-2; PD-L1, Programmed Death Ligand-1.

Association Between COX-2 and PD-L1 in ccRCC Note: Fischer’s exact test (p-value significant <0.05). Abbreviations: ccRCC, Clear Cell Renal Cell Carcinoma; COX-2, Cyclooxygenase-2; PD-L1, Programmed Death Ligand-1.

Discussion

Inflammation is closely related to ccRCC as it is considered to be an immunogenic tumor. COX-2 is an inflammatory protein that has a function in the carcinogenesis of ccRCC.4 This study found high COX-2 immunoexpression in more than 50% of cases. COX-2 is an enzyme that contributes to the conversion of arachidonic acid into prostaglandins, which is the main metabolite in carcinogenesis.6 These findings are consistent with the research of Gipsyianti et al, which revealed high COX-2 immunoexpression in acral melanoma; Szlendak et al on colorectal adenocarcinoma; and Liu et al on renal cell carcinoma.3,20,21 The results of the present show a significant association between COX-2 immunoexpression and the occurrence of metastases in ccRCC (p=0.001) with a POR of 10.28. These results indicate that ccRCC patients with high COX-2 immunoexpression are ten-times as likely to be associated with metastases as ccRCC patients with low COX-2 immunoexpression. This finding correlates with research conducted by Liu et al, which revealed a significant association between COX-2 immunoexpression and metastasis in patients with renal cell carcinoma.3 Similar findings were made in a study by Jana et al, which states that one marker of poor prognosis in breast carcinomas is high COX-2 immunoexpression, as it is associated with progression into invasion and metastasis.22 The process of metastasis is initiated by invading tumor cells, which break down the basal membrane and the stroma of the connective tissue around the tumor to facilitate the migration process. COX-2 plays a vital role in tumor cell invasion and migration by activating matrix metalloproteinases and stimulating extracellular signal-regulated kinases (ERKs)-dependent COX-2-PGE2 pathways.23 This process is supported by reactive oxygen species in tumors.23 Angiogenesis is an essential process in metastasis; in addition to nourishing tumor cells, angiogenesis also plays a role in forming new blood vessels to support successful metastasis.24 COX-2 aids the process of ccRCC angiogenesis by interfering with the regulation of vascular endothelial growth factor (VEGF) expression resulting in VEGF overexpression. COX-2 can also stimulate vascular sprouting, migration, and tube formation; increase endothelial cell survival through BCL2 expression and AKT signaling; activate epidermal growth factor receptor-mediated angiogenesis; and suppress IL-12 production.25 PD-L1 is a transmembrane protein that is bidirectional, which plays a role in immune evasion and the initiation of EMT through sterol regulatory binding protein-1c (SREBP-1c).26 In this study, positive PD-L1 immunoexpression for immune cells (≥1%) was present in 10% of the sample. However, previous studies have shown that PD-L1 immunoexpression occurred on 10/21 immune cells (47.6%). The discrepancy in results is due to differences in sampling methods, for example, multiple site sampling.27 Table 3 shows that in the metastatic group, the number of samples with positive PD-L1 immunoexpression was greater than the number from the non-metastatic group. However, there was no significant statistical association between PD-L1 immunoexpression and the incidence of metastases. This finding is similar to the results obtained by Leite et al, which revealed that PD-L1 immunoexpression was found in only 6% of metastatic cases in Brazil and was not associated with the incidence of metastases.28 Abbas et al in Germany obtained different results, showing a significant correlation between PD-L1 expression and the presentation of positive PD-L1 immunoexpression, which was found in 37.8% of the metastatic group.29 The discrepancy was found to be caused by tumor heterogeneity, differences in sampling locations of tumors, examining either primary or metastatic locations, and ethnic differences. A previous systematic review of 3389 patients showed that the PD-L1 immunoexpression in patients of Asian ethnicity was lower than that of European patients.30 In addition, HIF-α can initiate EMT directly, without stimulating PD-L1, depending on the external factors contributing to ccRCC, including sterol regulatory element-binding protein-1c (SREBP-1c).26,31–34 PD-L1 immunoexpression was low as PD-L1 mRNA is a strong target of miR-497-5p, meaning that PD-L1 mRNA is degraded and not expressed.35,36 Research conducted by Lopez et al found high intraheterogeneity of the ccRCC. This was evident in the difference between PD-L1 immunoexpression in multiple site sampling and single random sampling. With multiple site sampling, five positive samples were obtained, while with single random sampling all samples were negative.27 This study showed no association between COX-2 and PD-L1 immunoexpression in ccRCC, meaning that COX-2 did not affect PD-L1 immunoexpression in immune cells. Other factors that may influence PD-L1 are IFN-γ, TGF-β1, IL-17, or TNF-α in response to inflammatory factors released in TME during the anti-tumor immune response.31 COX-2’s ability to support the process of immune evasion can be triggered automatically or by PD-L1 activation. Without PD-L1 activation, the process functions using the COX-2-PGE2-Prostaglandin E receptor signaling pathway, thus suppressing the function of immune cells, including dendritic cells, Natural Killer cells, and T lymphocytes. COX-2 modulates dendritic cells by stimulating interleukin 10 (IL-10) and thus inhibiting the ability of dendritic cells to present antigens to T-lymphocytes. This automatically results in the inactivation of T-lymphocytes. This series of processes describes the role of COX-2 in tumor cell immunity pathways that can affect immunoediting in the elimination, balance, and immune escape phases, which play a role in metastasis. Immune escape results in the immune system being unable to recognize tumor cells, meaning the immune system can form supportive TME, making it easier for tumor cells to metastasize.6 This study has several limitations, including the assessment of expression using only immunohistochemistry, lack of comparison between metastatic sites, and use of only single random sampling. The authors recommend more comprehensive studies with a larger sample size taking a cohort analysis approach by using PCR gene expression measurements, taking tumor samples from multiple sites or multiple site sampling, and comparing primary and metastatic sites to address tumor heterogeneity.

Conclusion

In conclusion, high COX-2 immunoexpression is associated clinically with metastatic ccRCC, but not PD-L1 immunoexpression. There is no association between COX-2 immunoexpression and PD-L1. This study proves that inflammatory factors play a role in metastasis and can be used as a theoretical basis for utilizing pathogenesis-related inflammation to develop COX-2 inhibitors as a form of supportive therapy in the future.
  30 in total

1.  Potential impact of PD-L1 (SP-142) immunohistochemical heterogeneity in clear cell renal cell carcinoma immunotherapy.

Authors:  José I López; Rafael Pulido; Jesús M Cortés; Javier C Angulo; Charles H Lawrie
Journal:  Pathol Res Pract       Date:  2018-06-12       Impact factor: 3.250

Review 2.  Cyclooxygenase-2 in glioblastoma multiforme.

Authors:  Jiange Qiu; Zhi Shi; Jianxiong Jiang
Journal:  Drug Discov Today       Date:  2016-09-28       Impact factor: 7.851

Review 3.  Multiple roles of COX-2 in tumor angiogenesis: a target for antiangiogenic therapy.

Authors:  Stephen Gately; William W Li
Journal:  Semin Oncol       Date:  2004-04       Impact factor: 4.929

4.  Host expression of PD-L1 determines efficacy of PD-L1 pathway blockade-mediated tumor regression.

Authors:  Heng Lin; Shuang Wei; Elaine M Hurt; Michael D Green; Lili Zhao; Linda Vatan; Wojciech Szeliga; Ronald Herbst; Paul W Harms; Leslie A Fecher; Pankaj Vats; Arul M Chinnaiyan; Christopher D Lao; Theodore S Lawrence; Max Wicha; Junzo Hamanishi; Masaki Mandai; Ilona Kryczek; Weiping Zou
Journal:  J Clin Invest       Date:  2018-01-16       Impact factor: 14.808

Review 5.  Resistance to Systemic Therapies in Clear Cell Renal Cell Carcinoma: Mechanisms and Management Strategies.

Authors:  Peter Makhov; Shreyas Joshi; Pooja Ghatalia; Alexander Kutikov; Robert G Uzzo; Vladimir M Kolenko
Journal:  Mol Cancer Ther       Date:  2018-07       Impact factor: 6.261

6.  PD-L1 expression in renal cell carcinoma clear cell type is related to unfavorable prognosis.

Authors:  Katia R M Leite; Sabrina T Reis; José Pontes Junior; Marcelo Zerati; Daniel de Oliveira Gomes; Luiz H Camara-Lopes; Miguel Srougi
Journal:  Diagn Pathol       Date:  2015-10-15       Impact factor: 2.644

7.  QuPath: Open source software for digital pathology image analysis.

Authors:  Peter Bankhead; Maurice B Loughrey; José A Fernández; Yvonne Dombrowski; Darragh G McArt; Philip D Dunne; Stephen McQuaid; Ronan T Gray; Liam J Murray; Helen G Coleman; Jacqueline A James; Manuel Salto-Tellez; Peter W Hamilton
Journal:  Sci Rep       Date:  2017-12-04       Impact factor: 4.379

8.  COX-2 expression positively correlates with PD-L1 expression in human melanoma cells.

Authors:  Gerardo Botti; Federica Fratangelo; Margherita Cerrone; Giuseppina Liguori; Monica Cantile; Anna Maria Anniciello; Stefania Scala; Crescenzo D'Alterio; Chiara Trimarco; Angela Ianaro; Giuseppe Cirino; Corrado Caracò; Maria Colombino; Giuseppe Palmieri; Stefano Pepe; Paolo Antonio Ascierto; Francesco Sabbatino; Giosuè Scognamiglio
Journal:  J Transl Med       Date:  2017-02-23       Impact factor: 5.531

Review 9.  Regulation of PD-L1: Emerging Routes for Targeting Tumor Immune Evasion.

Authors:  Yiting Wang; Huanbin Wang; Han Yao; Chushu Li; Jing-Yuan Fang; Jie Xu
Journal:  Front Pharmacol       Date:  2018-05-22       Impact factor: 5.810

Review 10.  The Role of Obesity in Renal Cell Carcinoma Patients: Clinical-Pathological Implications.

Authors:  Gaetano Aurilio; Francesco Piva; Matteo Santoni; Alessia Cimadamore; Giulia Sorgentoni; Antonio Lopez-Beltran; Liang Cheng; Nicola Battelli; Franco Nolè; Rodolfo Montironi
Journal:  Int J Mol Sci       Date:  2019-11-13       Impact factor: 5.923

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  1 in total

1.  Prognostic value, DNA variation and immunologic features of a tertiary lymphoid structure-related chemokine signature in clear cell renal cell carcinoma.

Authors:  Chunguang Ma; Wangrui Liu; Aihetaimujiang Anwaier; Wenhao Xu; Xi Tian; Guohai Shi; Yuanyuan Qu; Shiyin Wei; Hailiang Zhang; Dingwei Ye
Journal:  Cancer Immunol Immunother       Date:  2022-01-19       Impact factor: 6.630

  1 in total

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