Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation
Effectiveness study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Case-series
Study drug and medical condition

Study drug International non-proprietary name (INN) or common name

PERTUZUMAB
TRASTUZUMAB EMTANSINE

Medical condition to be studied

HER2 positive breast cancer
Population studied

Short description of the study population

Adult patients (age ≥ 18 years at enrolment) from the Spain with HER2-positive metastatic or locally recurrent unresectable breast cancer and who were treated with Trastuzumab emtansine (T-DM1) and Pertuzumab under compassionate use or early access program.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Breast cancer patients

Estimated number of subjects

700
Study design details

Main study objective

To evaluate the effectiveness of Trastuzumab emtansine (T-DM1) and Pertuzumab in patients with HER2-positive MBC treated under compassionate use or early access program.

Outcomes

Overall survival. Defined as the time between the date of start of treatment and the date of death. For subjects without documentation of death, OS will be censored on the last date the subject was known to be alive, •Progression free survival. •Best overall response rate•Duration of response •Time to treatment failure •Time to Objective Response•Time to change treatment•Time to next treatment

Data analysis plan

The analysis of the present study will primarily make use of descriptive statistical methods (i.e. number, mean, median, standard deviation, rate, range, and IC95% for the estimated parameters).Where possible, and if allowed by the number of enrolled patients receiving different treatment regimens, a comparative analysis of the outcomes across various groups will also be performed.If applicable, it will be calculated IC 95% for the estimated parameters in relevant subgroups, analysis of variance (t test or F test) or non-parametric testing, such as Wilcoxon’s rank-sum test or Kruskal–Wallis test, will be used to test group differences on the continuous variables. All test performed will be two-sided and carried out with a 5% α-error rate without correction for multiplicity.Categorical variables will be summarized by numbers and proportions, and, where applicable, chi-squared testing will be used to test group differences.