Showing posts with label risk factors. Show all posts
Showing posts with label risk factors. Show all posts

Sunday, December 09, 2012

Risk factors associated with breast cancer-related lymphedema in the WHEL Study


Risk factors associated with breast cancer-related lymphedema in the WHEL Study.


Dec 2012

Source

Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA.

Abstract


INTRODUCTION:

Lymphedema is a significant health problem faced by a large percentage of breast cancer survivors. The Women's Healthy Eating and Living (WHEL) Study has a unique dataset collected after the completion of breast cancer treatment, which allowed a focused analysis of risk factors for breast cancer-related lymphedema.

METHODS:

Participant characteristics, treatment modalities, and health behaviors were examined as potential predictors of lymphedema among breast cancer survivors with univariate analyses and multivariate logistic regression.

RESULTS:

Lymphedema status was assessed for 83 % of the study cohort (2,431 of the 2,917 WHEL participants). Among these respondents, 692 (28.5 %) women reported yes to either a physician's diagnosis of lymphedema or a question on arm/hand swelling. When compared to other participants, women with lymphedema were diagnosed at a younger age, more likely to have a higher body mass index, had a larger tumor size, had more lymph nodes removed, more likely to have a mastectomy with radiation therapy, and more likely to have chemotherapy. In the final multivariate-adjusted model, body mass index greater than 25 kg/m(2) (p < 0.01), the removal of 11 or more lymph nodes (p < 0.01), and breast cancer surgery plus radiation therapy (p < 0.01) showed a strong independent association with developing breast cancer-related lymphedema.

CONCLUSIONS:

The results of this study highlight the importance of educating breast cancer survivors about the modifiable risk factors (e.g., body mass index) associated with the development of lymphedema.

IMPLICATIONS FOR CANCER SURVIVORS:

 Breast cancer survivors at risk for lymphedema may benefit from interventions aimed at achieving or maintaining a healthy body weight.

Sunday, November 18, 2012

Possible Genetic Predisposition to Lymphedema after Breast Cancer

Possible Genetic Predisposition to Lymphedema after Breast Cancer

Lymphat Res Biol. 2012

Beth Newman, Ph.D.,1 Felicity Lose, Ph.D.,2 Mary-Anne Kedda, Ph.D.,1 Mathias Francois, Ph.D.,3 Kaltin Ferguson,2 Monika Janda, Ph.D.,1 Patsy Yates, Ph.D.,4 Amanda B. Spurdle, Ph.D.,2,* and Sandra C. Hayes, PhDcorresponding author1,*



Abstract

Background
Known risk factors for secondary lymphedema only partially explain who develops lymphedema following cancer, suggesting that inherited genetic susceptibility may influence risk. Moreover, identification of molecular signatures could facilitate lymphedema risk prediction prior to surgery or lead to effective drug therapies for prevention or treatment. Recent advances in the molecular biology underlying development of the lymphatic system and related congenital disorders implicate a number of potential candidate genes to explore in relation to secondary lymphedema.

Methods and Results

We undertook a nested case-control study, with participants who had developed lymphedema after surgical intervention within the first 18 months of their breast cancer diagnosis serving as cases (n=22) and those without lymphedema serving as controls (n=98), identified from a prospective, population-based, cohort study in Queensland, Australia. TagSNPs that covered all known genetic variation in the genes SOX18VEGFCVEGFD,VEGFR2, VEGFR3RORCFOXC2, LYVE1, ADM, and PROX1 were selected for genotyping. Multiple SNPs within three receptor genes, VEGFR2, VEGFR3, and RORC, were associated with lymphedema defined by statistical significancstatistical significance  or extreme risk estimates

Conclusions

These provocative, albeit preliminary, findings regarding possible genetic predisposition to secondary lymphedema following breast cancer treatment warrant further attention for potential replication using larger datasets.