HERVs establish a distinct molecular subtype in stage II/III colorectal cancer with poor outcome

© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.Colorectal cancer (CRC) is one of the most lethal malignancies. The extreme heterogeneity in survival rate is driving the need for new prognostic biomarkers. Human endogenous retroviruses (hERVs) have been suggested to influence tumor progression, oncogenesis and elicit an immune response. We examined multiple next-generation sequencing (NGS)-derived biomarkers in 114 CRC patients with paired whole-exome and whole-transcriptome sequencing (WES and WTS, respectively). First, we demonstrate that the median expression of hERVs can serve as a potential biomarker for prognosis, relapse, and resistance to chemotherapy in stage II and III CRC. We show that hERV expression and CD8+ tumor-infiltrating T-lymphocytes (TILs) synergistically stratify overall and relapse-free survival (OS and RFS): the median OS of the CD8-/hERV+ subgroup was 29.8 months compared with 37.5 months for other subgroups (HR = 4.4, log-rank P < 0.001). Combing NGS-based biomarkers (hERV/CD8 status) with clinicopathological factors provided a better prediction of patient survival compared to clinicopathological factors alone. Moreover, we explored the association between genomic and transcriptomic features of tumors with high hERV expression and establish this subtype as distinct from previously described consensus molecular subtypes of CRC. Overall, our results underscore a previously unknown role for hERVs in leading to a more aggressive subtype of CRC.The biobanking of CRC from Hospital Santa Maria, Lisbon, Portugal, was supported by a grant from the Official Portuguese Funding Agency for Science and Technology (FCT: PIC/IC/82821/2007).info:eu-repo/semantics/publishedVersio

Abstract 5893: Expression and role of autophagy-associated p62 (SQSTM1) in multidrug-resistant ovarian cancer

Abstract Multidrug resistance is the major cause of treatment failure in ovarian cancer. p62 (SQSTM1) is a multifunctional protein involved in multiple cellular processes including proliferation, drug sensitivity and autophagy-associated cancer cell growth. p62 is a critical indicator of autophagic flux, which is inversely associated with autophagy activity. However, the role of p62 remains controversial in drug resistance in human ovarian cancer. In this study, we examined p62 expression by immunohistochemistry in a unique ovarian cancer tissue microarray (TMA), which was constructed with paired primary, metastatic, and recurrent tumor tissues from 26 individual patients. Results showed that both the metastatic and recurrent tumor tissues expressed less p62 than the patient-matched primary tumor. A significant inverse correlation has been found between p62 expression and both the disease free survival and overall survival. In addition, multidrug resistant cancer cell lines expressed lower levels of p62 as compared with their parental drug sensitive cell lines. Importantly, cell viabilities determined by MTT assay after exposure to different concentrations of paclitaxel showed inhibition of autophagy or accumulation of p62 enhances paclitaxel sensitivity in ovarian cancer drug resistant cells. Furthermore, the wound healing assay exhibited that inhibition of autophagy significantly decreased multidrug resistant ovarian cancer cell migration in vitro. Collectively, these data highlight that autophagy pathway may be a promising therapeutic target to prevent metastasis, recurrence and to reverse drug resistance in ovarian cancer. Citation Format: Jinglu Wang, Cassandra Garbutt, Francis J Hornicek, Zhenfeng Duan. Expression and role of autophagy-associated p62 (SQSTM1) in multidrug-resistant ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5893

Abstract 2315: Inhibition of cyclin-dependent kinase 4 as a potential therapeutic strategy for treatment of synovial sarcoma

Abstract Synovial sarcoma is a rare and aggressive form of soft tissue cancer that affects the extremities of the arms or legs, for which current chemotherapeutic agents have not been proven to be very effective. The cyclin-dependent kinase 4/6-retinoblastoma protein (CDK4/6-Rb) pathway is aberrant in a large proportion of cancer. Recent evidences on pre-clinical application of CDK4 inhibitors have been implicated in many types of human cancers, and the FDA has approved the CDK4 selective inhibitor for the treatment of breast cancer. However, the expression and therapeutic potential of CDK4 in synovial sarcoma remain unclear. In the present study, we examined the expression of CDK4 in synovial sarcoma cell lines by western blot and immunofluorescence assay, and in synovial sarcoma tissue microassays by immunohistochemical analysis. Cell viabilities were determined by MTT assay after exposure to different dosages of the selective CDK4 inhibitor. Flow cytometry analysis and wound healing assay were conducted to determine the mechanisms underlying the cytotoxic effects of the selective CDK4 inhibitor. CDK4 specific small interference RNA was used to validate the effect of targeting CDK4 by the selective CDK4 inhibitor in synovial sarcoma cells. We found that CDK4 was highly expressed in human synovial sarcoma, and was related to clinical stage and TNM grade in synovial sarcoma patients and poor prognosis in sarcoma patients. Cell viabilities determined by MTT assay after exposure to different dosages of the selective CDK4 inhibitor showed that this selective CDK4 inhibitor repressed synovial sarcoma cell proliferation and growth in a dose- and time- dependent manner. The selective CDK4 inhibitor inhibited the CDK4/6-Rb signaling pathway and promoted cell apoptosis without influence on the expression of CDK4/6, suggesting that the selective CDK4 inhibitor only repressed the hyperactivation, not the production of CDK4/6. The inhibition effect of the selective CDK4 inhibitor was confirmed by knockdown of CDK4 with specific small interference RNA. Flow cytometry analysis revealed that the selective CDK4 inhibitor induced G1 cell-cycle arrest by targeting CDK4/6-Rb pathway in synovial sarcoma cells. Furthermore, the wound healing assay exhibited that inhibition of CDK4/6-Rb pathway with the use of the selective CDK4 inhibitor significantly decreased synovial sarcoma cell migration in vitro. Our data highlight the role of dysregulated CDK4/6-Rb pathway and current selective CDK4/6 inhibitor may be a potential promising therapeutic agent in the targeted treatment of human synovial sarcoma. Citation Format: Xiaoyang Li, Cassandra Garbutt, Francis John Hornicek, Zhenfeng Duan. Inhibition of cyclin-dependent kinase 4 as a potential therapeutic strategy for treatment of synovial sarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2315

Potentials of Long Noncoding RNAs (LncRNAs) in Sarcoma: From Biomarkers to Therapeutic Targets

Sarcoma includes some of the most heterogeneous tumors, which make the diagnosis, prognosis and treatment of these rare yet diverse neoplasms especially challenging. Long noncoding RNAs (lncRNAs) are important regulators of cancer initiation and progression, which implies their potential as neoteric prognostic and diagnostic markers in cancer, including sarcoma. A relationship between lncRNAs and sarcoma pathogenesis and progression is emerging. Recent studies demonstrate that lncRNAs influence sarcoma cell proliferation, metastasis, and drug resistance. Additionally, lncRNA expression profiles are predictive of sarcoma prognosis. In this review, we summarize contemporary advances in the research of lncRNA biogenesis and functions in sarcoma. We also highlight the potential for lncRNAs to become innovative diagnostic and prognostic biomarkers as well as therapeutic targets in sarcoma

Advances in chromosomal translocations and fusion genes in sarcomas and potential therapeutic applications

•Chromosomal translocations and fusion genes are especially common in sarcomas.•Novel chromosomal translocations and fusion genes have been discovered in sarcomas.•Fusion genes and affected downstream signaling pathway provide therapeutic targets.•Novel therapeutic targets show promise in future treatment of sarcomas. Chromosomal translocations and fusion genes are very common in human cancer especially in subtypes of sarcomas, such as rhabdomyosarcoma, Ewing's sarcoma, synovial sarcoma and liposarcoma. The discovery of novel chromosomal translocations and fusion genes in different tumors are due to the advancement of next-generation sequencing (NGS) technologies such as whole genome sequencing. Recently, many novel chromosomal translocations and gene fusions have been identified in different types of sarcoma through NGS approaches. In addition to previously known sarcoma fusion genes, these novel specific fusion genes and associated molecular events represent important targets for novel therapeutic approaches in the treatment of sarcomas. This review focuses on recent advances in chromosomal translocations and fusion genes in sarcomas and their potential therapeutic applications in the treatment of sarcomas

Aberration of p73 Promoter Methylation in Chondrosarcoma

p73 is a tumor-suppressor gene with significant homology to p53. Abnormal promoter methylation of p73 is present in different types of cancer. However, the promoter methylation status of p73 in chondrosarcoma (CS) is unknown. p73 promoter methylation status was evaluated by quantitative polymerase chain reaction (PCR), p73 protein expression by western blot, and the relationship between p73 methylation and clinical data was analyzed. In 42 tumor tissues with CS, we found that three cases (7%) maintained methylation levels between 51% and 75%, and 39 cases (93%) had levels between 76% and 100%. p73 methylation level was significantly (p<0.05) positively associated with histological grade. Loss of p73 protein expression was correlated with high methylation of the p73 promoter; p73 expression was restored after exposure to a demethylating drug. p73 is epigenetically silenced in CS due to promoter methylation, which suggests the utility of p73 methylation as a biomarker

Getting to the Edge: Protein dynamical networks as a new frontier in plant-microbe interactions

A systems perspective on diverse phenotypes, mechanisms of infection, and responses to environmental stresses can lead to considerable advances in agriculture and medicine. A significant promise of systems biology within plants is the development of disease-resistant crop varieties, which would maximize yield output for food, clothing, building materials and biofuel production. A systems or -omics perspective frames the next frontier in the search for enhanced knowledge of plant network biology. The functional understanding of network structure and dynamics s is vital to expanding our knowledge of how the intercellular communication processes are executed. . This review article will systematically discuss various levels of organization of systems biology beginning with the building blocks termed –omes and ending with complex transcriptional and protein-protein interaction networks. We will also highlight the prevailing computational modeling approaches of biological regulatory network dynamics. The latest developments in the -omics approach will be reviewed and discussed to underline and highlight novel technologies and research directions in plant network biology