Literature DB >> 28178720

ERBB4 Expression in Ovarian Serous Carcinoma Resistant to Platinum-Based Therapy.

Ozlen Saglam1, Yin Xiong2, Douglas C Marchion2, Carolina Strosberg2, Robert M Wenham3, Joseph J Johnson4, Daryoush Saeed-Vafa2, Christopher Cubitt5, Ardeshir Hakam2, Anthony M Magliocco6.   

Abstract

Few data exist on the prognostic and predictive impact of erb-b2 receptor tyrosine kinase 4 (ERBB4) in ovarian cancer. Thus, we evaluated ERBB4 expression by immunohistochemistry in a tumor microarray consisting of 100 ovarian serous carcinoma specimens (50 complete responses [CRs] and 50 incomplete responses [IRs] to platinum-based therapy), 51 normal tissue controls, and 16 ovarian cancer cell lines. H scores were used to evaluate expression and were semiquantitatively classified into low, intermediate, and high categories. Category frequencies were compared between tumor specimens vs controls using an unpaired t test. Among tumors, category frequencies were compared between CR and IR to chemotherapy. Overall survival (OS) was stratified by category. In total, 74 ovarian serous carcinoma samples (32 CRs and 42 IRs), 28 normal controls, and 16 ovarian cancer cell lines were evaluable. High-level ERBB4 expression was observed at a significantly higher frequency in ovarian serous carcinoma compared with normal control tissue. Among tumor specimens, ERBB4 expression was significantly higher for those with an IR to chemotherapy compared with CR (P = .033). OS was inversely correlated with ERBB4 expression levels. Median rates of OS were 18, 22, and 58 months among high-, intermediate-, and low-expression tumors, respectively. Our results indicate that ERBB4 expression by immunohistochemistry may correlate with chemotherapy-resistant ovarian serous carcinoma and shortened OS.

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Year:  2017        PMID: 28178720     DOI: 10.1177/107327481702400115

Source DB:  PubMed          Journal:  Cancer Control        ISSN: 1073-2748            Impact factor:   3.302


  9 in total

1.  Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk.

Authors:  Brett M Reid; Jennifer B Permuth; Y Ann Chen; Brooke L Fridley; Edwin S Iversen; Zhihua Chen; Heather Jim; Robert A Vierkant; Julie M Cunningham; Jill S Barnholtz-Sloan; Steven Narod; Harvey Risch; Joellen M Schildkraut; Ellen L Goode; Alvaro N Monteiro; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04-04       Impact factor: 4.254

2.  Erbb4 Is Required for Cerebellar Developmentand Malignant Phenotype of Medulloblastoma.

Authors:  Juncal Aldaregia; Peio Errarte; Ane Olazagoitia-Garmendia; Marian Gimeno; Jose Javier Uriz; Timothy R Gershon; Idoia Garcia; Ander Matheu
Journal:  Cancers (Basel)       Date:  2020-04-17       Impact factor: 6.639

Review 3.  A Review of HER4 (ErbB4) Kinase, Its Impact on Cancer, and Its Inhibitors.

Authors:  Mohammed I El-Gamal; Nada H Mewafi; Nada E Abdelmotteleb; Minnatullah A Emara; Hamadeh Tarazi; Rawan M Sbenati; Moustafa M Madkour; Seyed-Omar Zaraei; Afnan I Shahin; Hanan S Anbar
Journal:  Molecules       Date:  2021-12-05       Impact factor: 4.411

4.  RNA-binding protein IGF2BP2 enhances circ_0000745 abundancy and promotes aggressiveness and stemness of ovarian cancer cells via the microRNA-3187-3p/ERBB4/PI3K/AKT axis.

Authors:  Shengtan Wang; Zaihong Li; Genhai Zhu; Lan Hong; Chunyan Hu; Kang Wang; Kaiying Cui; Chunbo Hao
Journal:  J Ovarian Res       Date:  2021-11-13       Impact factor: 4.234

5.  Nuclear factor erythroid 2-related factor 2 modulates HER4 receptor in ovarian cancer cells to influence their sensitivity to tyrosine kinase inhibitors.

Authors:  Ibrahim H Kankia; Poornima Paramasivan; Matthew Elcombe; Simon P Langdon; Yusuf Y Deeni
Journal:  Explor Target Antitumor Ther       Date:  2021-04-30

6.  Construction of a prognostic signature for serous ovarian cancer based on lactate metabolism-related genes.

Authors:  Jiangdong Xiang; Rongjia Su; Sufang Wu; Lina Zhou
Journal:  Front Oncol       Date:  2022-09-15       Impact factor: 5.738

7.  Mitochondrial mRNA transcripts predict overall survival, tumor recurrence and progression in serous ovarian cancer: Companion diagnostics for cancer therapy.

Authors:  Federica Sotgia; Michael P Lisanti
Journal:  Oncotarget       Date:  2017-08-06

8.  Integrated Genomic, Epigenomic, and Expression Analyses of Ovarian Cancer Cell Lines.

Authors:  Eniko Papp; Dorothy Hallberg; Gottfried E Konecny; Daniel C Bruhm; Vilmos Adleff; Michaël Noë; Ioannis Kagiampakis; Doreen Palsgrove; Dylan Conklin; Yasuto Kinose; James R White; Michael F Press; Ronny Drapkin; Hariharan Easwaran; Stephen B Baylin; Dennis Slamon; Victor E Velculescu; Robert B Scharpf
Journal:  Cell Rep       Date:  2018-11-27       Impact factor: 9.423

9.  Integrated genetic and epigenetic analysis of cancer-related genes in non-ampullary duodenal adenomas and intramucosal adenocarcinomas.

Authors:  Ryosuke Ota; Takeshi Sawada; Sho Tsuyama; Yasushi Sasaki; Hiromu Suzuki; Yasuharu Kaizaki; Kenkei Hasatani; Eiichiro Yamamoto; Hiroyoshi Nakanishi; Satoko Inagaki; Shigetsugu Tsuji; Naohiro Yoshida; Hisashi Doyama; Hiroshi Minato; Keishi Nakamura; Satomi Kasashima; Eiji Kubota; Hiromi Kataoka; Takashi Tokino; Takashi Yao; Toshinari Minamoto
Journal:  J Pathol       Date:  2020-09-12       Impact factor: 7.996

  9 in total

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