Proteomics-Derived Biomarker Panel Improves Diagnostic Precision to Classify Endometrioid and High-grade Serous Ovarian Carcinoma (Record no. 19149)

MARC details
000 -LEADER
fixed length control field 03040nam a22003377a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240305193717.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number Online ISSN 1557-3265
International Standard Serial Number Print ISSN 1078-0432
028 ## - PUBLISHER OR DISTRIBUTOR NUMBER
Source Phone: +255 28 298 3384
Source Fax: +255 28 298 3386
Source Email: vc@bugando.ac.tz
Source Website: www.bugando.ac.tz
040 ## - CATALOGING SOURCE
Transcribing agency DLC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dylan Z Dieters-Castator
9 (RLIN) 44669
245 ## - TITLE STATEMENT
Title Proteomics-Derived Biomarker Panel Improves Diagnostic Precision to Classify Endometrioid and High-grade Serous Ovarian Carcinoma
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Mwanza, Tanzania:
Name of publisher, distributor, etc. American Association for Cancer Research &
-- Catholic University of Health and Allied Sciences [CUHAS – Bugando]
Date of publication, distribution, etc. 2019/7/15
300 ## - PHYSICAL DESCRIPTION
Extent Pages 4309-4319
490 ## - SERIES STATEMENT
Volume/sequential designation Clinical Cancer Research Volume 25 Issue 14
520 ## - SUMMARY, ETC.
Summary, etc. Abstract<br/><br/>Purpose:<br/><br/>Ovarian carcinomas are a group of distinct diseases classified by histotypes. As histotype-specific treatment evolves, accurate classification will become critical for optimal precision medicine approaches.<br/><br/>Experimental Design:<br/><br/>To uncover differences between the two most common histotypes, high-grade serous (HGSC) and endometrioid carcinoma, we performed label-free quantitative proteomics on freshly frozen tumor tissues (HGSC, n = 10; endometrioid carcinoma, n = 10). Eight candidate protein biomarkers specific to endometrioid carcinoma were validated by IHC using tissue microarrays representing 361 cases of either endometrioid carcinoma or HGSC.<br/><br/>Results:<br/><br/>More than 500 proteins were differentially expressed (P < 0.05) between endometrioid carcinoma and HGSC tumor proteomes. A ranked set of 106 proteins was sufficient to correctly discriminate 90% of samples. IHC validated KIAA1324 as the most discriminatory novel biomarker for endometrioid carcinoma. An 8-marker panel was found to exhibit superior performance for discriminating endometrioid carcinoma from HGSC compared with the current standard of WT1 plus TP53 alone, improving the classification rate for HGSC from 90.7% to 99.2%. Endometrioid carcinoma–specific diagnostic markers such as PLCB1, KIAA1324, and SCGB2A1 were also significantly associated with favorable prognosis within endometrioid carcinoma suggesting biological heterogeneity within this histotype. Pathway analysis of proteomic data revealed differences between endometrioid carcinoma and HGSC pertaining to estrogen and interferon signalling.<br/><br/>Conclusions:<br/><br/>In summary, these findings support the use of multi-marker panels for the differential diagnosis of difficult cases resembling endometrioid carcinoma and HGSC.<br/>
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 22887
9 (RLIN) 44488
9 (RLIN) 44670
9 (RLIN) 44671
9 (RLIN) 44672
9 (RLIN) 44499
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text https://doi.org/10.1158/1078-0432.CCR-18-3818
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme ddc
Koha item type RESEARCH ARTICLES
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            MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO   10/11/2022   RA0348 10/11/2022 10/11/2022 RESEARCH ARTICLES
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