-----BEGIN PRIVACY-ENHANCED MESSAGE----- Proc-Type: 2001,MIC-CLEAR Originator-Name: webmaster@www.sec.gov Originator-Key-Asymmetric: MFgwCgYEVQgBAQICAf8DSgAwRwJAW2sNKK9AVtBzYZmr6aGjlWyK3XmZv3dTINen TWSM7vrzLADbmYQaionwg5sDW3P6oaM5D3tdezXMm7z1T+B+twIDAQAB MIC-Info: RSA-MD5,RSA, SJ8Q4YxReY0f3+jnVPrhiVRLY2tClCRFP3ELY+7V2/yydUm+hFeqNRP0/v3WTfGh ZA41fc3FY+FmdkzUracZpg== 0001104659-05-027135.txt : 20050611 0001104659-05-027135.hdr.sgml : 20050611 20050607170115 ACCESSION NUMBER: 0001104659-05-027135 CONFORMED SUBMISSION TYPE: 8-K PUBLIC DOCUMENT COUNT: 4 CONFORMED PERIOD OF REPORT: 20050607 ITEM INFORMATION: Regulation FD Disclosure ITEM INFORMATION: Financial Statements and Exhibits FILED AS OF DATE: 20050607 DATE AS OF CHANGE: 20050607 FILER: COMPANY DATA: COMPANY CONFORMED NAME: FAVRILLE INC CENTRAL INDEX KEY: 0001285701 STANDARD INDUSTRIAL CLASSIFICATION: BIOLOGICAL PRODUCTS (NO DIAGNOSTIC SUBSTANCES) [2836] IRS NUMBER: 330892797 STATE OF INCORPORATION: DE FISCAL YEAR END: 1231 FILING VALUES: FORM TYPE: 8-K SEC ACT: 1934 Act SEC FILE NUMBER: 000-51134 FILM NUMBER: 05883337 MAIL ADDRESS: STREET 1: 10421 PACIFIC CENTER COURT STREET 2: STE 150 CITY: SAN DIEGO STATE: CA ZIP: 92121 8-K 1 a05-10429_18k.htm 8-K

 

UNITED STATES
SECURITIES AND EXCHANGE COMMISSION

 

WASHINGTON, D.C. 20549

 

FORM 8-K

 

CURRENT REPORT
PURSUANT TO SECTION 13 OR 15(d) OF THE
SECURITIES EXCHANGE ACT OF 1934

 

Date of report (Date of earliest event reported): June 7, 2005

 

FAVRILLE, INC.

(Exact Name of Registrant as Specified in Charter)

 

DELAWARE

 

000-51134

 

33-0892797

(State or Other Jurisdiction
of Incorporation)

 

(Commission File Number)

 

(I.R.S. Employer
Identification No.)

 

 

 

 

 

10421 PACIFIC CENTER COURT, SUITE 150

 

 

SAN DIEGO, CALIFORNIA

 

92121

(Address of Principal Executive Offices)

 

(Zip Code)

 

 

 

(858) 526-8000

(Registrants telephone number, including area code)

 

N/A

(Former name or former address, if changed since last report)

 

Check the appropriate box below if the Form 8-K is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions (see General Instruction A.2. below):

 

o                                    Written communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425)

 

o                                    Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)

 

o                                    Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))

 

o                                    Pre-commencement communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CRF 240.13e-4(c))

 

 



 

Item 7.01.   Regulation FD Disclosure.

 

As previously announced in Favrille, Inc.’s June 2, 2005 press release, Favrille will be presenting data at the International Conference on Malignant Lymphoma in Lugano, Switzerland, which identifies the prognostic factors for time to disease progression in patients participating in the Company’s Phase II clinical trial evaluating its lead product candidate, FavId®, following Rituxan® for the treatment of follicular B-cell non-Hodgkin’s lymphoma,.

 

The poster is to be presented on Friday, June 10, 2005, during Poster Session II at Marquee Parco Ciani in Lugano, Switzerland beginning at 7:30 a.m. local time.  The poster will also be available on the Investor Relations section of the Company’s website at www.favrille.com on June 10th and archived for 30 days.

 

Item 9.01.  Financial Statements and Exhibits.

 

(c)          Exhibits

 

Exhibit No.

 

Description

99.1

 

Poster Presentation by Favrille, Inc.

 

2



 

SIGNATURES

 

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.

 

 

 

FAVRILLE, INC.

 

 

 

 

 

By:

 /s/ Tamara A. Seymour

 

Date: June 7, 2005

 

Tamara A. Seymour

 

 

Chief Financial Officer

 

3



 

INDEX TO EXHIBITS

 

99.1

 

Poster Presentation by Favrille, Inc.

 

4


EX-99.1 2 a05-10429_1ex99d1.htm EX-99.1

Exhibit 99.1

 

Prognostic Factors for Time To Progression (TTP) in Patients Receiving
Rituximab Followed by Idiotype Immunotherapy

 

J Gutheil, S Rosenbush, D Gold, J Bender and the FavId® Study Group*. Favrille, Inc., San Diego, CA USA

 

Abstract (updated)

 

Introduction: Idiotype immunotherapy represents a promising approach for patients with B-cell malignancies; however the most appropriate patient population in which to use this therapy remains to be defined. Using data from a multi-center phase II study of Id/KLH (FavId) immunotherapy following cytoreduction with rituximab, we evaluated a series of potential clinical and flow cytometry generated prognostic factors of clinical efficacy as assessed by TTP.

 

Patients and methods: 103 patients (56 male, 47 female; median age 53 years) with treatment naïve (41) or relapsed/refractory (62) follicular NHL (FL) were enrolled in the study. Patients received rituximab (weekly x 4) followed by FavId (1 mg, subcutaneously) GM-CSF (250ug, daily x 4) starting on week 12. FavId/GM-CSF was administered monthly x 6, then every other month x 6, and then every 3 months until progression. Univariate analysis of potential prognostic factors were performed, using as the predictive variable TTP after rituximab.

 

Results: The potential clinical prognostic factors evaluated were: age, sex, PS, prior therapy, stage, WHO grade, B-symptoms, marrow/liver/spleen involvement, response to rituximab, number of prior relapses, number/type prior regimens, maximum tumor size, amount of disease, and extranodal disease. The potential laboratory prognostic factors were: lymphocyte count, albumin, hemoglobin, and LDH at the time of study entry. The potential flow cytometric prognostic factors evaluated were: Tumor cell size, CD4/8 ratio, CD3 count, CD4 count, CD5 count, CD8 count, CD20 count, bcl2 index (bcl-2/isotype matched control) and HLA class I and II expression. Univariate analysis identified liver involvement (HR = 6.25, p=0.0007), spleen involvement (HR = 2.1, p=0.043), prior chemotherapy (HR = 1.97, p=0.0384), and number of prior regimens (HR = 1.16, p=0.0054) as associated with a decrease in TTP at
p < 0.05. Multivariate analysis identified liver involvement (HR = 9.325, p=0.0017) and 3 or more prior regimens (HR = 4.765, p=0.0035) as significant. Of the flow cytometry variables tested, only large tumor cell size was associated with a trend (p=0.1) towards significance for a shortened TTP.

 

Conclusions: In our patients with FL receiving rituximab followed by idiotype immunotherapy, multivariate analyses identified liver involvement and number of prior regimens as significantly associated with a decrease in TTP. The identification of number of prior regimens as a predictor for TTP following idiotype immunotherapy supports the evaluation of this therapy in treatment naïve and less heavily pretreated patients.

 

Background

 

Idiotype immunotherapy represents a promising approach for patients with B-cell malignancies; however the relative importance of various clinical and laboratory prognostic factors remains to be defined. An understanding of these prognostic factors will aid in the design of future clinical studies using Id/KLH immunotherapy.

 

Materials and Methods

 

Using data from a large phase II study of Id/KLH FavId immunotherapy following cytoreduction with rituximab in patients with follicular NHL, we evaluated a series of potential clinical, laboratory and flow cytometry generated parameters for their potential as prognostic factors of clinical efficacy as assessed by TTP.

 

Treatment Schema

 

 

103 patients (56 male, 47 female; median age 53 years) with treatment naïve (41) or relapsed/refractory (62) follicular NHL (FL) were enrolled. Patients received rituximab (weekly x 4) followed by FavId (1 mg, subcutaneously) starting on week 12. FavId was administered monthly x 6, then every other month x 6, and then every 3 months until progression.

 

Patient Demographics

 

Characteristic

 

Naïve (N=41)

 

Relapsed (N=62)

 

Age Median (range)

 

54 (36-83)

 

55 (31-86)

 

 

 

 

 

 

 

Sex (M/F)

 

22/19

 

34/28

 

 

 

 

 

 

 

PS (0/1)

 

35/6

 

56/6

 

 

 

 

 

 

 

Median baseline tumor

 

40 cm2 (7.5-263)

 

29.9 cm2 (0.5-295)

 

 

 

 

 

 

 

Prior regimens

 

 

 

 

 

 

 

 

 

 

 

rituximab

 

 

 

8

 

 

 

 

 

 

 

chemotherapy

 

 

 

26

 

 

 

 

 

 

 

chemo/rituximab

 

 

 

28

 

 

Unaudited data

 

Univariate analysis was performed using standard statistical software with TTP from the time of rituximab as the predictive variable.

 

Multivariate analyses were performed using 1) all covariates with a univariate p-value < 0.1; 2) backward selection using a p-value cutoff of < 0.1; and 3) best subset selection with a limit of 3, 4, or 5 covariates.

 

Prognostic Factors Evaluated

 

                  Clinical

    Age

    Sex

    Performance Status

    Prior therapy

    Stage

    WHO grade

    B-symptoms

    Marrow involvement

    Liver involvement

    Spleen involvement

    Response to rituximab

    Number of prior relapses

    Number/type prior regimens

    Maximum tumor size

    Amount of disease

    Extranodal disease

 

                  Flow Cytometry

    Tumor cell size

    CD4/8 ratio

    CD3

    CD4

    CD5

    CD8

    CD20

    Bcl-2 index

    HLA class I expression

    HLA class II expression

 

                  Laboratory

    Lymphocyte count

    Hemoglobin

    Albumin

    LDH

 

Results

 

Univariate analysis identified liver involvement (HR = 6.25, p=0.0007), spleen involvement (HR = 2.1, p=0.043), prior chemotherapy (HR = 1.97, p=0.038) and number of prior regimens (HR = 1.16, p=0.0054) as associated with a decrease in TTP at p < 0.05.

 

Univariate Analysis

 

Covariate

 

#

 

C

 

HR

 

95% CI

 

P-value

 

Liver Involved

 

 

 

 

 

 

 

 

 

 

 

(Yes vs No)

 

98

 

56

 

6.25

 

(2.2, 18

)

0.0007

 

Spleen Involved

 

 

 

 

 

 

 

 

 

 

 

(Yes vs No)

 

98

 

56

 

2.10

 

(1.0, 4.3

)

0.0430

 

Prior Chemo

 

 

 

 

 

 

 

 

 

 

 

(Yes vs No)

 

100

 

57

 

1.97

 

(1.0, 3.8

)

0.0384

 

# Prior Regimens

 

 

 

 

 

 

 

 

 

 

 

(>2 vs <3)

 

100

 

57

 

1.16

 

(1.4, 7.2

)

0.0054

 

 


#: Number of patients, C: Number censored, HR: Hazard ratio

 

All multivariate analysis models identified liver involvement (HR = 9.3, p=0.0017) and 3 or more prior regimens (HR = 4.7, p=0.0035) as significant.

 

Multivariate Analysis (Full Model)

 

Covariate

 

HR

 

95% CI

 

P-value

 

Liver Involved

 

 

 

 

 

 

 

(Yes vs No)

 

9.325

 

(2.321, 37.47

)

0.0017

 

# Prior Regimens

 

 

 

 

 

 

 

(>2 vs <3)

 

4.765

 

(1.670, 13.60

)

0.0035

 

 


67 Patients; 31 Events; 36 Censored

 

Of the flow cytometry variables tested, only large tumor cell size was associated with a trend (p=0.1) towards significance.

 

Conclusions

 

In our patients with FL receiving rituximab followed by idiotype immunotherapy, each multivariate analysis performed identified liver involvement and number of prior regimens as significantly associated with TTP. The identification of number of prior regimens as a predictor for TTP following idiotype immunotherapy supports the evaluation of this investigational therapy in treatment naïve and less heavily pretreated patients.

 

*FavId Study Group

 

Rene A. Castillo
Ochsner Clinical Foundation,
New Orleans, LA

 

John Densmore
University of Virginia,
Charlottesville, VA

 

Troy H. Guthrie
University of Florida,
Jacksonville, FL

 

John Hainsworth
Sarah Canon CC,
Nashville, TN

 

Peter Holman
UCSD,
La Jolla, CA

 

Nalini Janakiraman
Henry Ford Hospital,
Detroit, MI

 

Lawrence Kaplan
UCSF,
San Francisco, CA

 

Omer Koç
Case Western Reserve University,
Cleveland, OH

 

Thomas Lin
Ohio State University,
Columbus, OH

 

Charles Redfern
Sharp Healthcare,
San Diego, CA

 

Fred Rosenfelt
Tower Hematology/Oncology,
Los Angeles, CA

 

Peter H. Wiernik
New York Medical College,
Bronx, NY

 

Jane N. Winter
Northwestern University,
Chicago, IL

 

 


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