ID

45546

Description

Principal Investigator: Yick Fu Wong, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA MeSH: Uterine Cervical Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000723 Precision mapping of genetic alterations in cancer can enable better selection of therapies and improved outcomes when combined with new sequencing diagnostics. We describe whole-exome sequences from cervical adenocarcinomas and paired normal samples in Hong Kong Chinese women. These data uncover a heterogeneous genomic landscape but identify commonly aberrant loci including FAT1, ARID1A, ERBB2 and PIK3CA that may provide a focus for the development of individualized targeted therapies for Chinese women with cervical adenocarcinoma.

Link

dbGaP-study=phs000723

Keywords

  1. 1/6/23 1/6/23 - Chiara Middel
Copyright Holder

Yick Fu Wong, Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Uploaded on

January 6, 2023

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000723 Sequencing of Cervical Cancer

Eligibility Criteria

Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
Precision mapping of genetic alterations in cancer can enable better selection of therapies and improved outcomes when combined with new sequencing diagnostics. We describe whole-exome sequences from cervical adenocarcinomas and paired normal samples in Hong Kong Chinese women. These data uncover a heterogeneous genomic landscape but identify commonly aberrant loci including FAT1, ARID1A, ERBB2 and PIK3CA that may provide a focus for the development of individualized targeted therapies for Chinese women with cervical adenocarcinoma.
Description

Elig.phs000723.v1.p1.1

Data type

boolean

Alias
UMLS CUI [1,1]
C0681850
UMLS CUI [1,2]
C4319199
UMLS CUI [1,3]
C0279672
UMLS CUI [1,4]
C0152035
UMLS CUI [2,1]
C0009932
UMLS CUI [2,2]
C0205307
UMLS CUI [2,3]
C0370003
UMLS CUI [2,4]
C0152035
UMLS CUI [3,1]
C1880355
UMLS CUI [3,2]
C0019409
UMLS CUI [3,3]
C0887950
UMLS CUI [4,1]
C0205396
UMLS CUI [4,2]
C0205214
UMLS CUI [4,3]
C0443127
UMLS CUI [4,4]
C0678933
UMLS CUI [4,5]
C0332149
UMLS CUI [4,6]
C1527148
UMLS CUI [4,7]
C2985566

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Elig.phs000723.v1.p1.1
Item
Precision mapping of genetic alterations in cancer can enable better selection of therapies and improved outcomes when combined with new sequencing diagnostics. We describe whole-exome sequences from cervical adenocarcinomas and paired normal samples in Hong Kong Chinese women. These data uncover a heterogeneous genomic landscape but identify commonly aberrant loci including FAT1, ARID1A, ERBB2 and PIK3CA that may provide a focus for the development of individualized targeted therapies for Chinese women with cervical adenocarcinoma.
boolean
C0681850 (UMLS CUI [1,1])
C4319199 (UMLS CUI [1,2])
C0279672 (UMLS CUI [1,3])
C0152035 (UMLS CUI [1,4])
C0009932 (UMLS CUI [2,1])
C0205307 (UMLS CUI [2,2])
C0370003 (UMLS CUI [2,3])
C0152035 (UMLS CUI [2,4])
C1880355 (UMLS CUI [3,1])
C0019409 (UMLS CUI [3,2])
C0887950 (UMLS CUI [3,3])
C0205396 (UMLS CUI [4,1])
C0205214 (UMLS CUI [4,2])
C0443127 (UMLS CUI [4,3])
C0678933 (UMLS CUI [4,4])
C0332149 (UMLS CUI [4,5])
C1527148 (UMLS CUI [4,6])
C2985566 (UMLS CUI [4,7])

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