scholarly journals SUN-LB132 Frequency and Impact of Mutations in Tumor Suppressor Gene CDC73 in General Population and Malignant Tumors

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Yulong Li ◽  
Haobin Chen

Abstract Background: CDC73 gene is a putative tumor suppressor gene, and somatic and germline mutations of this gene have been linked with parathyroid tumors. There are also some reports suggesting that germline CDC73 mutations may increase risk of jaw, kidney and uterine tumors. However, the incidence and significance of CDC73 somatic mutations is largely unknown in tumors other than parathyroid tumors. Methods/Design: 1) Assess CDC73 germline mutation frequency and genotypes in general population using ExAC (Exome Aggregation Consortium) and gnomAD (Genome Aggregation Database); 2) Assess CDC73 somatic mutation frequency in various type of tumors using the Cancer Genome Atlas (TCGA) and non-TCGA datasets; 3) Examine significance of CDC73 mutation in uterine endometrial carcinoma (UCEC). Overall survival, CDC73 mutation signature, gene expression profile (GEP) and tumor immune microenvironment were compared between the UCEC samples with and without CDC73 mutations. Results: In ExAC and gnomAD databases, most of CDC73 germline mutations were mapped to the intron regions of the CDC73 gene and nonsynonymous CDC73 mutations are very rare, with allele frequency ranging from 8.24e-06 to 9.92e-05 and 3.97e-06 to 7.43e-05, respectively. Missense mutations accounted for more than 95% of the nonsynonymous mutations in the CDC73 gene in both databases. 2) In 155 cancer genomics studies including both TCGA and non-TCGA datasets with no overlapping samples, CDC73 was mutated in 0.7% cases and missense mutations comprised 78% of the CDC73 mutations. CDC73 somatic mutations were undetected or rarely detected in endocrine tumors except for parathyroid tumors. 3) UCEC is the tumor type that has the second highest CDC73 somatic mutation rate (8%) after parathyroid tumors. The UCEC with CDC73 mutations had a significantly better overall survival with a logrank p-value of 0.033 compared to the tumors with CDC73 WT. GEP analysis revealed that the CDC73-mutated UCEC tumors had significant upregulation of immunological markers and enriched immunologic signature compared to the CDC73-WT tumors. In silico analysis of tumor immune microenvironment showed higher fractions of cytotoxic CD8 cells, T follicular helper cells and M1 macrophage in the CDC73-mutated UCEC tumors. The majority of the CDC73-mutated tumors were POLE ultra-mutated and microsatellite instability (MSI) subtypes, which likely account for a better survival and an increased immune-cell infiltrate of these tumors. Conclusion: CDC73 mutations is rare in general population and tumors except for parathyroid carcinoma and UCEC. CDC73 mutation is a marker for better prognosis in UCEC and is associated with increased immune cell infiltrate in tumor microenvironment, likely due to majority of the CDC73-mutated tumors were POLE ultra-mutated and microsatellite instability (MSI) subtypes.

2022 ◽  
Vol 12 ◽  
Author(s):  
Lan-Xin Mu ◽  
You-Cheng Shao ◽  
Lei Wei ◽  
Fang-Fang Chen ◽  
Jing-Wei Zhang

Purpose: This study aims to reveal the relationship between RNA N6-methyladenosine (m6A) regulators and tumor immune microenvironment (TME) in breast cancer, and to establish a risk model for predicting the occurrence and development of tumors.Patients and methods: In the present study, we respectively downloaded the transcriptome dataset of breast cancer from Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA) database to analyze the mutation characteristics of m6A regulators and their expression profile in different clinicopathological groups. Then we used the weighted correlation network analysis (WGCNA), the least absolute shrinkage and selection operator (LASSO), and cox regression to construct a risk prediction model based on m6A-associated hub genes. In addition, Immune infiltration analysis and gene set enrichment analysis (GSEA) was used to evaluate the immune cell context and the enriched gene sets among the subgroups.Results: Compared with adjacent normal tissue, differentially expressed 24 m6A regulators were identified in breast cancer. According to the expression features of m6A regulators above, we established two subgroups of breast cancer, which were also surprisingly distinguished by the feature of the immune microenvironment. The Model based on modification patterns of m6A regulators could predict the patient’s T stage and evaluate their prognosis. Besides, the low m6aRiskscore group presents an immune-activated phenotype as well as a lower tumor mutation load, and its 5-years survival rate was 90.5%, while that of the high m6ariskscore group was only 74.1%. Finally, the cohort confirmed that age (p < 0.001) and m6aRiskscore (p < 0.001) are both risk factors for breast cancer in the multivariate regression.Conclusion: The m6A regulators play an important role in the regulation of breast tumor immune microenvironment and is helpful to provide guidance for clinical immunotherapy.


Hematology ◽  
2017 ◽  
Vol 2017 (1) ◽  
pp. 310-316 ◽  
Author(s):  
W. Robert Liu ◽  
Margaret A. Shipp

Abstract Classical Hodgkin lymphoma (cHL) is an unusual B-cell–derived malignancy in which rare malignant Hodgkin and Reed-Sternberg (HRS) cells are surrounded by an extensive but ineffective inflammatory/immune cell infiltrate. This striking feature suggests that malignant HRS cells escape immunosurveillance and interact with immune cells in the cancer microenvironment for survival and growth. We previously found that cHLs have a genetic basis for immune evasion: near-uniform copy number alterations of chromosome 9p24.1 and the associated PD-1 ligand loci, CD274/PD-L1 and PDCD1LG2/PD-L2, and copy number–dependent increased expression of these ligands. HRS cells expressing PD-1 ligands are thought to engage PD-1 receptor–positive immune effectors in the tumor microenvironment and induce PD-1 signaling and associated immune evasion. The genetic bases of enhanced PD-1 signaling in cHL make these tumors uniquely sensitive to PD-1 blockade.


2020 ◽  
Vol 10 ◽  
Author(s):  
Kasia A. Sablik ◽  
Ekaterina S. Jordanova ◽  
Noelle Pocorni ◽  
Marian C. Clahsen-van Groningen ◽  
Michiel G. H. Betjes

Blood ◽  
2017 ◽  
Vol 130 (21) ◽  
pp. 2265-2270 ◽  
Author(s):  
W. Robert Liu ◽  
Margaret A. Shipp

Abstract Classical Hodgkin lymphoma (cHL) is an unusual B-cell–derived malignancy in which rare malignant Hodgkin and Reed-Sternberg (HRS) cells are surrounded by an extensive but ineffective inflammatory/immune cell infiltrate. This striking feature suggests that malignant HRS cells escape immunosurveillance and interact with immune cells in the cancer microenvironment for survival and growth. We previously found that cHLs have a genetic basis for immune evasion: near-uniform copy number alterations of chromosome 9p24.1 and the associated PD-1 ligand loci, CD274/PD-L1 and PDCD1LG2/PD-L2, and copy number–dependent increased expression of these ligands. HRS cells expressing PD-1 ligands are thought to engage PD-1 receptor–positive immune effectors in the tumor microenvironment and induce PD-1 signaling and associated immune evasion. The genetic bases of enhanced PD-1 signaling in cHL make these tumors uniquely sensitive to PD-1 blockade.


2018 ◽  
Vol 20 (suppl_2) ◽  
pp. i74-i75
Author(s):  
Timothy A Ritzmann ◽  
Francesca Francis ◽  
Sarah-Louise Brudenell ◽  
Hazel A Rogers ◽  
Alex Virasami ◽  
...  

2013 ◽  
Vol 15 (11) ◽  
pp. 1479-1490 ◽  
Author(s):  
L. Fang ◽  
D. E. Lowther ◽  
M. L. Meizlish ◽  
R. C. E. Anderson ◽  
J. N. Bruce ◽  
...  

2011 ◽  
Vol 115 (3) ◽  
pp. 505-511 ◽  
Author(s):  
Isaac Yang ◽  
Seunggu J. Han ◽  
Michael E. Sughrue ◽  
Tarik Tihan ◽  
Andrew T. Parsa

Object The tumor microenvironment in astrocytomas is composed of a variety of cell types, including infiltrative inflammatory cells that are dynamic in nature, potentially reflecting tumor biology. In this paper the authors demonstrate that characterization of the intratumoral inflammatory infiltrate can distinguish high-grade glioblastoma from low-grade pilocytic astrocytoma. Methods Tumor specimens from ninety-one patients with either glioblastoma or pilocytic astrocytoma were analyzed at the University of California, San Francisco. A systematic neuropathology analysis was performed. All tissue was collected at the time of the initial surgery prior to adjuvant treatment. Immune cell infiltrate not associated with necrosis or hemorrhage was analyzed on serial 4-μm sections. Analysis was performed for 10 consecutive hpfs and in 3 separate regions (total 30 × 0.237 mm2). Using immunohistochemistry for markers of infiltrating cytotoxic T cells (CD8), natural killer cells (CD56), and macrophages (CD68), the inflammatory infiltrates in these tumors were graded quantitatively and classified based on microanatomical location (perivascular vs intratumoral). Control markers included CD3, CD20, and human leukocyte antigen. Results Glioblastomas exhibited significantly higher perivascular (CD8) T-cell infiltration than pilocytic astrocytomas (62% vs 29%, p = 0.0005). Perivascular (49%) and intratumoral (89%; p = 0.004) CD56-positive cells were more commonly associated with glioblastoma. The CD68-positive cells also were more prevalent in the perivascular and intratumoral space in glioblastoma. In the intratumoral space, all glioblastomas exhibited CD68-positive cells compared with 86% of pilocytic astrocytomas (p = 0.0014). Perivascularly, CD68-positive infiltrate was also more prevalent in glioblastoma when compared with pilocytic astrocytoma (97% vs 86%, respectively; p = 0.0003). The CD3-positive, CD20-positive, and human leukocyte antigen-positive infiltrates did not differ between glioblastoma and pilocytic astrocytoma. Conclusions This analysis suggests a significantly distinct immune profile in the microenvironment of high-grade glioblastoma versus low-grade pilocytic astrocytoma. This difference in tumor microenvironment may reflect an important difference in the tumor biology of glioblastoma.


Pathology ◽  
2008 ◽  
Vol 40 (7) ◽  
pp. 682-693 ◽  
Author(s):  
Mahmoud-Rezk A. Hussein ◽  
Noha M. Aboulhagag ◽  
Hesham S. Atta ◽  
Saad M. Atta

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shang Xie ◽  
Xin-Yuan Zhang ◽  
Xiao-Feng Shan ◽  
Vicky Yau ◽  
Jian-Yun Zhang ◽  
...  

Background. Oral squamous cell carcinoma (OSCC) constitutes the most common types of oral cancer. Because its prognosis varies significantly, identification of a tumor immune microenvironment could be a critical tool for treatment planning and predicting a more accurate prognosis. This study is aimed at utilizing the Hyperion imaging system to depict a preliminary landscape of the tumor immune microenvironment in OSCC with lymph node metastasis. Methods. We collected neoplasm samples from OSCC patients. Their formalin-fixed, paraffin-embedded (FFPE) tissue sections were obtained and stained utilizing a panel of 26 clinically relevant metal-conjugated antibodies. Detection and analysis were performed for these stained cells with the Hyperion imaging system. Results. Four patients met our inclusion criteria. We depicted a preliminary landscape of their tumor immune microenvironment and identified 25 distinct immune cell subsets from these OSCC patients based on phenotypic similarity. All these patients had decreased expression of CD8+ T cells in tumor specimens. Variety in cell subsets was seen, and more immune activated cells were found in patient A and patient B than those in patient C and patient D. Such differences in tumor immune microenvironments can contribute to forecasting of individual prognoses. Conclusion. The Hyperion imaging system helped to delineate a preliminary and multidimensional landscape of the tumor immune microenvironment in OSCC with lymph node metastasis and provided insights into the influence of the immune microenvironment in determination of prognoses. These results reveal possible contributory factors behind different prognoses of OSCC patients with lymph node metastasis and provide reference for individual treatment planning.


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