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22. may 2008, SM 1
The Clinical database of DBCG
(Danish Breast Cancer Cooperative Group)
1977-2008
Susanne Møller
DBCG secretariate
Copenhagen University Hospital
22. may 2008, SM 2
Number of patients with invasive
breast cancer 1977-2007
(n=84833)
0
500
1000
1500
2000
2500
3000
3500
4000
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
DBCG 07
DBCG 04
DBCG 01
DBCG 99
DBCG 89
DBCG 82
DBCG 77
22. may 2008, SM 3
In situ carcinoma,DCIS LCIS
1982-2006, n=3228
0
50
100
150
200
250
1982 1985 1988 1991 1994 1997 2000 2003 2006
in situ
22. may 2008, SM 4
Hereditary Breast and Ovarian
Cancer Registry (HBOC)
1999-2006 , 3121 families
0
100
200
300
400
500
600
700
1999 2000 2001 2002 2003 2004 2005 2006
families
22. may 2008, SM 5
Restrictions of the database
• Only one record of each patient , primary key of the database is the unique civil personal registration number (CPR)
– If bilaterel breast cancer, only one side
– If new breast cancer during follow-up or after 10 years, only the first event can be recorded
• Data reported just from clinical centers in charge of breast cancer patients.
– If no surgery, greater risk of no registration
22. may 2008, SM 6
Completeness :
Number of patients with primary invasive
breast cancer in DBCG vs CR vs Patobank
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
DBCG
CR
Patobank
22. may 2008, SM 7
Registrations of individual
patient data in DBGC
• All units involved in diagnosis and treatment
contributes
– Demographic data
– Histo-pathological variables
– Type of surgery
– Systemic therapy (chemo-, endocrine- and biological-)
– Radiation therapy
– Follow-up until 10 years
– Death
22. may 2008, SM 8
Histo-pathology CRF
A
Højre Kommunikation mellem aksil- og mammakavitet Ja Nej Biopsidato:
Side:
Venstre Suspekte mikroforkalkninger efterladt Ja Nej
Øvre lateral Papil fjernet Ja Nej Lumpek-tomidato:
Øvre medial Bundfascie på præparat Ja Nej
Biopsitype: Nedre lateral Palpabel tumor Ja Nej
Excision Nål-cytologi Nedre medial Nålemarkeret proces Ja Nej
Incision Nål-histologi
Lokali-sation
(evt. flere afkryds-ninger):
Central Klinisk Mb. Paget Ja Nej
22. may 2008, SM 9
Type of surgery by year
0
500
1000
1500
2000
2500
3000
3500
4000
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
biopsy only
BCS
mastectomy
22. may 2008, SM 10
Mamma –CRF: Definition of risk groups according
to demographic and histopathological variables
C: DBCG GRUPPE – UDFYLDES AF KIRURGISK AFDELING.
Alder Tumor størrelse
Positive lymfeknuder
Type og malign. grad
Receptor status HER-2 status
TOP2A status
DBCG gruppe
Normal/ukendt I Negativ/ ukendt Abnorm II
Positiv/ Ukendt
Medulær(neg) Positiv II
Duktal I, ?
Lobulær I-II, ? Anden type
Negativ II
0
Duktal II-III Lobulær III
II
< 20 mm
> 1 II
> 35 år
> 20 mm II
< 35 år II
22. may 2008, SM 11
Mamma –CRF: Protocol allocation D: POSTOPERATIV BEHANDLING– UDFYLDES AF ONKOLOGISK AFDELING.
DBCG gruppe Alder Receptor status
HER-2 status
Standard behandling *)
Behandlingsprogram **) Protokol
I Ingen 2007 – a
Positiv KT, ET, T 2007 – b,t FACE(postmen.) Positiv / ? Negativ / ? KT, ET 2007 – b FACE(postmen.)
Positiv KT, T 2007 – d,t
< 60 år
Negativ Negativ / ? KT 2007 – d
Positiv / ? ET 2007 – c FACE
Positiv KT, T 2007 – d,t
II
> 60 år Negativ Negativ / ? KT 2007 – d
*) KT (kemoterapi) = EC x 3 ? Doc x 3. ET (endokrin terapi) = for præ (på diagnosetidspunkt): TAM i 5 år for post (på diagnosetidspunkt): TAM i 2½ år ? aromatasehæmmer i 2½ år. T = trastuzumab.
**) Patienter med et eller flere af følgende kriterier indgår ikke i DBCG’s behandlingsprogrammer for inv. c. m. Sæt evt. flere kryds.
Patienter med en eller flere af følgende kriterier bør følges og indberettes i henhold til DBCG’ behandlingsprogrammer. Afvigelser fra standardbehandling angives på Flow Sheet:
Fjernmetastaser Tidl. malign. incl. c. mam. (undt. c. cutis & c. colli ut. in situ)
Sarkom/phyllodes Bilateral c. mammae
DCIS, LCIS, PDN (udfyld In situ skema) Kontraindikation for standard behandling
Andet: Teknisk inoperabel
Ikke opereret iflg. DBCG’s kirurgiske procedure
22. may 2008, SM 12
Definition of Patient population
• Patients with invasive breast cancer,
surgery according to DBCG 95.4%
• No surgery (biopsi only) 4.2%
• Other diagnoses 0.4%
– Sarcoma
– Padget
– Fibroadenoma
22. may 2008, SM 13
Patients ineligible to DBCG programmes
• Due to diagnosis 5.9%– Distant metastasis 1.5%
– Previous malignancy 2.1%
– Bilateral breast cancer 1.7%
– Other reasons 0.6%
• Due to noneligibility for systemic therapy 24.3%– Contra indication due to medical condition incl. age 15.3%
– Inflammatory breast cancer 0.2%
– Surgery not according to DBGC guidelines 1.8%
– Patient do not want to participate 1.1%
– Protocol violation (misclassified or not treated according DBCG) 2.2%
– Unknown 3.8%
22. may 2008, SM 14
Protocol allocation in DBGC
programmes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
dbcg
77
dbcg
82
dbcg
89
dbcg
99
dbcg
01
dbcg
04
high risk
low risk
ineligible
22. may 2008, SM 15
Follow-up of enrolled patients during treatment
and after treatment for 10 years
(currently 30.000 patients)
• Systemic therapy – Chemotherapy (type, dose, number of series,18-48 weeks )
– Endocrine therapy (type, dose, 1-5 years, + extended)
– Trastuzumab (1 year)
• Radiotherapy (target, dose, number of fractions )
• Adverse events, targeted dependent on treatment
• Recurrence – loco-regional, distant, contralateral breast, other malignancy
– death as first event
• Death for all patients (by linkage to CPR)
22. may 2008, SM 16
Events in DBGC programmes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
dbcg 77 dbcg 82 dbcg 89 dbcg 99 dbcg 01 dbcg 04
On study
End of follow up without event
event - Dead (1. event)
event - othen malignancy
event - recurrence
22. may 2008, SM 17
Reasons for withdrawal without
event in DBGC programmes
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
dbcg
77
dbcg
82
dbcg
89
dbcg
99
dbcg
01
dbcg
04
10 years follow up completed
Programme violation (excl. Crit.)
Not treated according to
allocation
Lost to follow up
Lack of capacity
Patients condition
Voluntary withdrawal
22. may 2008, SM 18
IT systems
• Oracle database , many tables
• Programming language : SQL
• Data entry
– in the secretariate: Forms6
– From the clinical units: on-line system
• Statistical analyses language: SAS and R
• Mirror of the database in SAS-files
– Historic samples
22. may 2008, SM 19
Data validation
• At data entry:
– validating values of individual variables
– consistency of data from the same CRF
– check of protocol allocation
• Daily validation of
– double entry
– consistency of data between CRFs
• Regular check for missing CRFs
– Gap in the flow of CRFs
– Too long time since last follow-up
22. may 2008, SM 20
Clinical quality database
• 11 indicators of clincal quality are defined for breast
cancer treatment (june 2005).
• Yearly reports : mean values by units and time trend
• Example: Indicator no 4
– Rate of node negative patients,
– suitable for SN methods,
– whose nodal status is determind by SN.
– Reference value was 95%
– 2005-6 the numbers were: 1659 / 1975, rate=84 %
22. may 2008, SM 21
Rate of node negative patients, suitable for SN methods,
whose nodal status is determind by SN for each unit.
22. may 2008, SM 22
Rate of node negative patients, suitable for SN methods,
whose nodal status is determind by SN for a single unit vs.
total mean for the same units according to time.
22. may 2008, SM 23
Rate of node negative patients, suitable for SN methods,
whose nodal status is determind by SN
for a single unit vs. nationwide means according to time.
22. may 2008, SM 24
Achievements from the DBCG database
The establishment of the multidisciplinary breast cancer group with its associated database has provided the opportunity to
• improve the quality of the diagnostic and therapeutic aspects of breast cancer (guidelines)
• run trials, national or in international collaboration.
• the clinical data combined with the availability of tumour tissue has provided the ideal conditions for translational research.
22. may 2008, SM 25
Achievements from the DBCG database
• Clinical trials, nationwide, international.
• Translational reseach, connection to tumor tissue.
• Supply data as well as statistical expertise for specificresearch.
• Epidemiological research.
• Guidelines.
• Quality control, nationwide, international (EBCTCG)
• International collaboration- early warning
• Tools for information and education, professional- and public-