ID

45548

Description

Principal Investigator: Matthew Meyerson, MD,PhD, Dana Farber Cancer Institute, Boston MA, USA MeSH: Uterine Cervical Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000600 Cervical cancer is responsible for 10-15% of cancer related deaths in women worldwide. The etiological role of infection with high-risk human papilloma viruses (HPV) in carcinomas of the cervix is well established. In general, the development of cervical carcinomas follows a progression from persistent HPV infection through precancerous lesions to invasive cancer. Previous studies have implicated somatic mutations in PIK3CA, PTEN, TP53, STK11 and KRAS as well as chromosome-arm level copy number alterations in the pathogenesis of cervical carcinomas. Here, we report whole exome sequencing analysis of 118 cervical carcinoma-normal paired samples from patients in Norway and Mexico, as well as transcriptome sequencing of 80 cases and whole genome sequencing of 13 tumor-normal pairs. Novel somatic mutations include recurrent E322K substitutions in the MAPK1 gene encoding the ERK2 kinase and inactivating mutations in the HLA-B gene. In addition, recurrent somatic mutations in FBXW7, EP300, and NFE2L2 are novel in the context of primary cervical carcinomas. Analysis of HPV integration sites revealed recurrent integration into the RAD51B locus as well as co-occurrence of HPV genome integration and copy number gains within several genomic loci. These findings shed new light on the pathogenesis of cervical carcinomas and suggest potential novel therapeutic targets.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000600

Keywords

  1. 1/9/23 1/9/23 - Dr. med. Lucy Kessler
Copyright Holder

Matthew Meyerson, MD,PhD, Dana Farber Cancer Institute, Boston MA, USA

Uploaded on

January 9, 2023

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :

In order to download data models you must be logged in. Please log in or register for free.

dbGaP phs000600 Genomic Sequencing of Cervical Cancers

Subject ID, age, sex, primary disease, geographical site of sample collection, and smoking status of participants with cervical cancer and involved in the "Genomic Sequencing of Cervical Cancers" project.

pht003239
Description

pht003239

Alias
UMLS CUI [1,1]
C3846158
De-identified subject ID
Description

SUBJECT_ID

Data type

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Patient age at time of diagnosis
Description

AGE

Data type

float

Measurement units
  • Years
Alias
UMLS CUI [1,1]
C1828181
Years
Gender of participant
Description

SEX

Data type

text

Alias
UMLS CUI [1,1]
C0079399
Disease diagnosis
Description

PRIMARY_DISEASE

Data type

string

Alias
UMLS CUI [1,1]
C0011900
Site of sample collection
Description

GEOGRAPHY

Data type

string

Alias
UMLS CUI [1,1]
C0449705
Indicates whether patient was a smoker or non-smoker
Description

SMOKING STATUS

Data type

string

Alias
UMLS CUI [1,1]
C1519386

Similar models

Subject ID, age, sex, primary disease, geographical site of sample collection, and smoking status of participants with cervical cancer and involved in the "Genomic Sequencing of Cervical Cancers" project.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht003239
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
De-identified subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
AGE
Item
Patient age at time of diagnosis
float
C1828181 (UMLS CUI [1,1])
Item
Gender of participant
text
C0079399 (UMLS CUI [1,1])
Code List
Gender of participant
CL Item
Female (F)
C0086287 (UMLS CUI [1,1])
CL Item
Male (M)
C0086582 (UMLS CUI [1,1])
PRIMARY_DISEASE
Item
Disease diagnosis
string
C0011900 (UMLS CUI [1,1])
GEOGRAPHY
Item
Site of sample collection
string
C0449705 (UMLS CUI [1,1])
SMOKING STATUS
Item
Indicates whether patient was a smoker or non-smoker
string
C1519386 (UMLS CUI [1,1])

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial