Literature DB >> 29975213

Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics.

Ivan Gorlov1, Irene Orlow2, Carol Ringelberg1, Eva Hernando3, Marc S Ernstoff4, Chao Cheng1, Stephanie Her5, Joel S Parker6, Cheryl L Thompson7, Meg R Gerstenblith8, Marianne Berwick8, Christopher Amos9.   

Abstract

Factors influencing melanoma survival include sex, age, clinical stage, lymph node involvement, as well as Breslow thickness, presence of tumor-infiltrating lymphocytes based on histological analysis of primary melanoma, mitotic rate, and ulceration. Identification of genes whose expression in primary tumors is associated with these key tumor/patient characteristics can shed light on molecular mechanisms of melanoma survival. Here, we show results from a gene expression analysis of formalin-fixed paraffin-embedded primary melanomas with extensive clinical annotation. The Cancer Genome Atlas data on primary melanomas were used for validation of nominally significant associations. We identified five genes that were significantly associated with the presence of tumor-infiltrating lymphocytes in the joint analysis after adjustment for multiple testing: IL1R2, PPL, PLA2G3, RASAL1, and SGK2. We also identified two genes significantly associated with melanoma metastasis to the regional lymph nodes (PIK3CG and IL2RA), and two genes significantly associated with sex (KDM5C and KDM6A). We found that LEF1 was significantly associated with Breslow thickness and CCNA2 and UBE2T with mitosis. RAD50 was the gene most significantly associated with survival, with a higher level of expression associated with worse survival.

Entities:  

Mesh:

Year:  2018        PMID: 29975213      PMCID: PMC6448582          DOI: 10.1097/CMR.0000000000000473

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  8 in total

1.  The Modulatory Properties of Astragalus membranaceus Treatment on Triple-Negative Breast Cancer: An Integrated Pharmacological Method.

Authors:  Cun Liu; Kejia Wang; Jing Zhuang; Chundi Gao; Huayao Li; Lijuan Liu; Fubin Feng; Chao Zhou; Kang Yao; Laijun Deng; Lu Wang; Jia Li; Changgang Sun
Journal:  Front Pharmacol       Date:  2019-10-14       Impact factor: 5.810

Review 2.  MRE11-RAD50-NBS1 complex alterations and DNA damage response: implications for cancer treatment.

Authors:  Lei Bian; Yiling Meng; Meichao Zhang; Dong Li
Journal:  Mol Cancer       Date:  2019-11-26       Impact factor: 27.401

3.  Identification of Age-Associated Transcriptomic Changes Linked to Immunotherapy Response in Primary Melanoma.

Authors:  Nehal Farid El-Helbawy; Ahmed Ezat El Zowalaty
Journal:  Curr Issues Mol Biol       Date:  2022-09-07       Impact factor: 2.976

4.  Integrative bioinformatics approaches to map key biological markers and therapeutic drugs in Extramammary Paget's disease of the scrotum.

Authors:  Fatima Noor; Muhammad Hamzah Saleem; Jen-Tsung Chen; Muhammad Rizwan Javed; Wafa Abdullah Al-Megrin; Sidra Aslam
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.752

5.  Study of the Female Sex Survival Advantage in Melanoma-A Focus on X-Linked Epigenetic Regulators and Immune Responses in Two Cohorts.

Authors:  Abdullah Al Emran; Jérémie Nsengimana; Gaya Punnia-Moorthy; Ulf Schmitz; Stuart J Gallagher; Julia Newton-Bishop; Jessamy C Tiffen; Peter Hersey
Journal:  Cancers (Basel)       Date:  2020-07-28       Impact factor: 6.639

6.  Proteogenomic analysis of melanoma brain metastases from distinct anatomical sites identifies pathways of metastatic progression.

Authors:  Erin M Taylor; Stephanie D Byrum; Jacob L Edmondson; Christopher P Wardell; Brittany G Griffin; Sara C Shalin; Murat Gokden; Issam Makhoul; Alan J Tackett; Analiz Rodriguez
Journal:  Acta Neuropathol Commun       Date:  2020-09-05       Impact factor: 7.801

7.  Prognostic genes of melanoma identified by weighted gene co-expression network analysis and drug repositioning using a network-based method.

Authors:  Lu Wang; Chuan-Yuan Wei; Yuan-Yuan Xu; Xin-Yi Deng; Qiang Wang; Jiang-Hui Ying; Si-Min Zhang; Xin Yuan; Tian-Fan Xuan; Yu-Yan Pan; Jian-Ying Gu
Journal:  Oncol Lett       Date:  2019-10-04       Impact factor: 2.967

8.  Pivotal factors associated with the immunosuppressive tumor microenvironment and melanoma metastasis.

Authors:  Chuan Zhang; Dan Dang; Lele Cong; Hongyan Sun; Xianling Cong
Journal:  Cancer Med       Date:  2021-06-22       Impact factor: 4.452

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.