Immunohistochemical analysis of glassy cell carcinoma of the cervix reveals robust lymphocyte infiltrate and the expression of targetable inhibitory immune checkpoints

2021 ◽  
Author(s):  
Erin A. Blake ◽  
Malcolm S. Ross ◽  
Megan E. Ross ◽  
Koji Matsuo ◽  
Emily T. Silverstein ◽  
...  
Keyword(s):  
Cell Carcinoma ◽  
Immunohistochemical Analysis ◽  
Immune Checkpoints ◽  
Lymphocyte Infiltrate

995: Immunohistochemical Analysis of Tumor Polyamines Discriminates High Risk Patients Undergoing Nephrectomy for Renal Cell Carcinoma

2004 ◽  
Vol 171 (4S) ◽  
pp. 263-263
Author(s):  
Nathalie Rioux-Leclercq ◽  
Florence Jouan ◽  
Pascale Bellaud ◽  
Jacques-Philippe Moulinoux ◽  
Karim Bensalah ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Immunohistochemical Analysis ◽  
High Risk Patients ◽  
Risk Patients

scholarly journals Reclassification of Kidney Clear Cell Carcinoma Based on Immune Cell Gene-Related DNA CpG Pairs

Biomedicines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 215
Author(s):  
Qizhan Luo ◽  
Thomas-Alexander Vögeli
Keyword(s):  
Cell Carcinoma ◽  
Immune Cell ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Pairwise Comparison ◽  
Clinicopathological Features ◽  
Immune Checkpoints ◽  
Potential Mechanism ◽  
Tissue Samples

Background: A new method was developed based on the relative ranking of gene expression level, overcoming the flaw of the batch effect, and having reliable results in various studies. In the current study, we defined the two methylation sites as a pair. The methylation level in a specific sample was subject to pairwise comparison to calculate a score for each CpGs-pair. The score was defined as a CpGs-pair score. If the first immune-related CpG value was higher than the second one in a specific CpGs-pair, the output score of this immune-related CpGs-pair was 1; otherwise, the output score was 0. This study aimed to construct a new classification of Kidney Clear Cell Carcinoma (KIRC) based on DNA CpGs (methylation sites) pairs. Methods: In this study, the biomarkers of 28 kinds of immune infiltration cells and corresponding methylation sites were acquired. The methylation data were compared between KIRC and normal tissue samples, and differentially methylated sites (DMSs) were obtained. Then, DNA CpGs-pairs were obtained according to the pairs of DMSs. In total, 441 DNA CpGs-pairs were utilized to construct a classification using unsupervised clustering analysis. We also analyzed the potential mechanism and therapy of different subtypes, and validated them in a testing set. Results: The classification of KIRC contained three subgroups. The clinicopathological features were different across three subgroups. The distribution of immune cells, immune checkpoints and immune-related mechanisms were significantly different across the three clusters. The mutation and copy number variation (CNV) were also different. The clinicopathological features and potential mechanism in the testing dataset were consistent with those in the training set. Conclusions: Our findings provide a new accurate and stable classification for developing personalized treatments for the new specific subtypes.

scholarly journals Clinicopathologic features of TDO2 overexpression in renal cell carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Quoc Thang Pham ◽  
Daiki Taniyama ◽  
Yohei Sekino ◽  
Shintaro Akabane ◽  
Takashi Babasaki ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
In Silico Analysis ◽  
Immunohistochemical Analysis ◽  
Rna Seq ◽  
Anoikis Resistance ◽  
Silico Analysis ◽  
Proliferation And Invasion

Abstract Background Tryptophan 2,3-dioxygenase (TDO2) is the primary enzyme catabolizing tryptophan. Several lines of evidence revealed that overexpression of TDO2 is involved in anoikis resistance, spheroid formation, proliferation, and invasion and correlates with poor prognosis in some cancers. The aim of this research was to uncover the expression and biofunction of TDO2 in renal cell carcinoma (RCC). Methods To show the expression of TDO2 in RCC, we performed qRT-PCR and immunohistochemistry in integration with TCGA data analysis. The interaction of TDO2 with PD-L1, CD44, PTEN, and TDO2 expression was evaluated. We explored proliferation, colony formation, and invasion in RCC cells line affected by knockdown of TDO2. Results RNA-Seq and immunohistochemical analysis showed that TDO2 expression was upregulated in RCC tissues and was associated with advanced disease and poor survival of RCC patients. Furthermore, TDO2 was co-expressed with PD-L1 and CD44. In silico analysis and in vitro knockout of PTEN in RCC cell lines revealed the ability of PTEN to regulate the expression of TDO2. Knockdown of TDO2 suppressed the proliferation and invasion of RCC cells. Conclusion Our results suggest that TDO2 might have an important role in disease progression and could be a promising marker for targeted therapy in RCC. (199 words)

scholarly journals The prognostic value of immune checkpoints in oral squamous cell carcinoma

Oral Diseases ◽  
2018 ◽  
Vol 25 (6) ◽  
pp. 1435-1445 ◽  
Author(s):  
Meri Sieviläinen ◽  
Rabeia Almahmoudi ◽  
Ahmed Al‐Samadi ◽  
Tuula Salo ◽  
Matti Pirinen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Immune Checkpoints

scholarly journals A Novel Ferroptosis-Related Biomarker Signature to Predict Overall Survival of Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiahang Song ◽  
Yanhu Liu ◽  
Xiang Guan ◽  
Xun Zhang ◽  
Wenda Yu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Risk Model ◽  
Expression Profiles ◽  
Gene Signature ◽  
Immune Checkpoints ◽  
Related Gene

Esophageal squamous cell carcinoma (ESCC) accounts for the main esophageal cancer (ESCA) type, which is also associated with the greatest malignant grade and low survival rates worldwide. Ferroptosis is recently discovered as a kind of programmed cell death, which is indicated in various reports to be involved in the regulation of tumor biological behaviors. This work focused on the comprehensive evaluation of the association between ferroptosis-related gene (FRG) expression profiles and prognosis in ESCC patients based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). ALOX12, ALOX12B, ANGPTL7, DRD4, MAPK9, SLC38A1, and ZNF419 were selected to develop a novel ferroptosis-related gene signature for GEO and TCGA cohorts. The prognostic risk model exactly classified patients who had diverse survival outcomes. In addition, this study identified the ferroptosis-related signature as a factor to independently predict the risk of ESCC. Thereafter, we also constructed the prognosis nomogram by incorporating clinical factors and risk score, and the calibration plots illustrated good prognostic performance. Moreover, the association of the risk score with immune checkpoints was observed. Collectively, the proposed ferroptosis-related gene signature in our study is effective and has a potential clinical application to predict the prognosis of ESCC.

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