Treatment of cancer patients is greatly facilitated by detection of the cancer prior to metastasis. One of the obstacles to early cancer detection is the lack of availability of biomarkers with sufficient specificity. With modern differential proteomic techniques, the potential exists to identify high specificity cancer biomarkers. We have delineated a set of protocols for the isolation and identification of serum biomarkers for ovarian cancer that exist in the low molecular weight serum fraction. After isolation of the low molecular weight fraction by ultrafiltration, the potential biomarkers are separated by reversed phase nano liquid chromatography. Detection via TOF or FT-ICR yields a data set for each sample. We compared stage III/IV o...
Ovarian cancer, the most lethal of all gynecological malignancies, represents a significant public h...
FDA-cleared ovarian cancer biomarkers are limited to CA-125 and HE4 for monitoring and recurrence an...
We used intensive modern proteomics approaches to identify predictive proteins in ovary cancer. We i...
Epithelial ovarian cancer is the fourth leading cause of cancer death among women. Due to the asympt...
Purpose: To evaluate the utility of an enhanced biomarker discovery approach in order to identify po...
Proteins secreted or shed by tumors can be found in serum. Detecting these proteins by mass spectrom...
Ovarian cancer is characterized by vague, non-specific symptoms, advanced stage at diagnosis and poo...
© 2010 Dr. Ratana LimOvarian cancer affects around 1,200 women in Australia each year.There is no re...
We set out to discover ovarian cancer biomarkers useful for monitoring progression during and after ...
Early detection remains the most promising approach to improve long-term survival of patients with o...
OBJECTIVE To identify metastasis-related biomarkers in human ovarian cancer cell lines and in se...
Abstract Background Due to high mortality and lack of efficient screening, new tools for ovarian can...
Ovarian cancer is the most lethal gynaecological malignancy in North America. Although survival rate...
Ovarian cancer is a lethal gynaecological malignancy which is known as the silent killer. It has a p...
Ovarian cancer is the fifth leading cause of cancer death in women in the U.S. Currently, two serum ...
Ovarian cancer, the most lethal of all gynecological malignancies, represents a significant public h...
FDA-cleared ovarian cancer biomarkers are limited to CA-125 and HE4 for monitoring and recurrence an...
We used intensive modern proteomics approaches to identify predictive proteins in ovary cancer. We i...
Epithelial ovarian cancer is the fourth leading cause of cancer death among women. Due to the asympt...
Purpose: To evaluate the utility of an enhanced biomarker discovery approach in order to identify po...
Proteins secreted or shed by tumors can be found in serum. Detecting these proteins by mass spectrom...
Ovarian cancer is characterized by vague, non-specific symptoms, advanced stage at diagnosis and poo...
© 2010 Dr. Ratana LimOvarian cancer affects around 1,200 women in Australia each year.There is no re...
We set out to discover ovarian cancer biomarkers useful for monitoring progression during and after ...
Early detection remains the most promising approach to improve long-term survival of patients with o...
OBJECTIVE To identify metastasis-related biomarkers in human ovarian cancer cell lines and in se...
Abstract Background Due to high mortality and lack of efficient screening, new tools for ovarian can...
Ovarian cancer is the most lethal gynaecological malignancy in North America. Although survival rate...
Ovarian cancer is a lethal gynaecological malignancy which is known as the silent killer. It has a p...
Ovarian cancer is the fifth leading cause of cancer death in women in the U.S. Currently, two serum ...
Ovarian cancer, the most lethal of all gynecological malignancies, represents a significant public h...
FDA-cleared ovarian cancer biomarkers are limited to CA-125 and HE4 for monitoring and recurrence an...
We used intensive modern proteomics approaches to identify predictive proteins in ovary cancer. We i...