ID

45548

Beschrijving

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

Trefwoorden

  1. 09-01-23 09-01-23 - Dr. med. Lucy Kessler
Houder van rechten

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

Geüploaded op

9 januari 2023

DOI

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Licentie

Creative Commons BY 4.0

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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
Beschrijving

pht003239

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

SUBJECT_ID

Datatype

string

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

AGE

Datatype

float

Maateenheden
  • Years
Alias
UMLS CUI [1,1]
C1828181
Years
Gender of participant
Beschrijving

SEX

Datatype

text

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

PRIMARY_DISEASE

Datatype

string

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

GEOGRAPHY

Datatype

string

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

SMOKING STATUS

Datatype

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)
Datatype
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])

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