FLORENCE MOLINIÉ

Dr. FLORENCE MOLINIÉ

Loire-Atlantique/Vendée Cancer Registry, Nantes, Pays de la Loire, France
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in The Breast
Verified
Journal Article
Closed access
FMFLORENCE MOLINIÉ
FLORENCE MOLINIÉ
CLC. Leux
C. Leux
PDP. Delafosse
P. Delafosse
SAS. Ayrault-Piault
S. Ayrault-Piault
PAP. Arveux
P. Arveux
BTB. Tretarre
B. Tretarre

1 October 2017 in Cancer Epidemiology
Verified
Journal Article
Closed access
LDLaetitia Daubisse-Marliac
Laetitia Daubisse-Marliac
MCMarc Colonna
Marc Colonna
BTBrigitte Trétarre
Brigitte Trétarre
GDGautier DEFOSSEZ
Gautier DEFOSSEZ
FMFLORENCE MOLINIÉ
FLORENCE MOLINIÉ
PGpascale grosclaude
pascale grosclaude

9 August 2014 in Breast Cancer Research and Treatment
Verified
Journal Article
Closed access
PDF file
FMFLORENCE MOLINIÉ
FLORENCE MOLINIÉ
AVA. Vanier
A. Vanier
AWA. S. Woronoff
A. S. Woronoff
AGA. V. Guizard
A. V. Guizard
PDP. Delafosse
P. Delafosse
BTB. Tretarre
B. Tretarre

7 February 2018 in BMC Cancer
Verified
Journal Article
Open access
PDF file
MCMarion Cortet
Marion Cortet
ABAurelie Bertaut
Aurelie Bertaut
FMFLORENCE MOLINIÉ
FLORENCE MOLINIÉ
SBSimona Bara
Simona Bara
FBFrançoise Beltjens
Françoise Beltjens
PAPatrick Arveux
Patrick Arveux
The incidence and incidence trends of breast cancer according to molecular subtype are unknown at a population level in France. The registry data enables this study and may give this information, that is crucial to describe and understand breast cancer epidemiology. We estimated the incidence rates of breast cancer for each molecular subtype using data from three cancer registries in France for the period from 2007 to 2012. Molecular subtypes were defined with immunohistochemical data. Poisson models were estimated to modelize the course of breast cancer incidence and to test the trends. The study included 12,040 patients diagnosed between 2007 and 2012 in the three administrative areas covered by the registries. There was no significant trends in the proportion of each molecular subtype year by year. The age distribution of incident cases was different depending on the molecular subtypes (p < 0.001). The course of incidence between 2007 and 2012 was also different depending on molecular subtype according to the multivariate Poisson model (p < 0.001). The description of incident cases of breast cancer according to molecular subtype at a population level showed differences in trends. The trends in incidence differed according to molecular subtype, and this should improve our understanding of overall changes in incidence. This analysis is important to plan screening and treatment resources at a population level.

12 November 2018 in BMC Cancer
Verified
Journal Article
Open access
PDF file
ASA. Seigneurin
A. Seigneurin
PDP. Delafosse
P. Delafosse
BTB. Trétarre
B. Trétarre
AWA. S. Woronoff
A. S. Woronoff
MVM. Velten
M. Velten
MCM. Colonna
M. Colonna
Survival rates of lung cancer remains poor and the impact of comorbidities on the prognosis is discussed. The objective of this study was to assess if the Charlson Comorbidity Index (CCI) was associated with 8-year survival rates by histological type. A cohort study was conducted using randomly selected cases from 10 French cancer registries. Net survival rates were computed using the Pohar-Perme estimator of the net cumulative rate. Three Cox models were independently built for adenocarcinomas, squamous cell and small cell cancers to estimate prognostic factors including CCI grade. A total of 646 adenocarcinomas, 524 squamous cell and 233 small cell cancers were included in the analysis. The net 8-year survival rate ranged from 12.6% (95% CI: 9.8–15.4%) for adenocarcinomas and 13.4% (95% CI: 10.1–16.7%) for squamous cell carcinomas, to 3.7% (95% CI: 1.1–6.3%) for small cell cancers. Observed and net survival rates decreased for CCI grades ≥3 for all histological group considered. After adjustment for sex, age group, stage and diagnostic mode, CCI grades 1 (HR = 1.6 [95% CI: 1.1–2.3]), 2 (HR = 1.7 [95% CI: 1.1–2.7]) and ≥ 3 (HR = 2.7 [95% CI: 1.7–4.4]) were associated with lower survival rates only for small cell cancers. After adjustment for age, sex, stage and diagnostic mode, the presence of comorbidity based on CCI grades 1–2 and ≥ 3 was associated with lower survival rates for small cell cancers whereas no differences were observed for adenocarcinomas and squamous cell cancers.

1 April 2006 in Revue des Maladies Respiratoires
Verified
Journal Article
Closed access
FMFLORENCE MOLINIÉ
FLORENCE MOLINIÉ
MVM. Velten
M. Velten
LRL. Remontet
L. Remontet
PBP. Bercelli
P. Bercelli