Proteomic biomarkers for overall and progression‐free survival in ovarian cancer patients

Høgdall, Estrid; Fung, Eric T.; Christensen, Ib Jarle; Yip, Christine; Nedergaard, Lotte; Engelholm, Svend Aage; Risum, Signe; Petri, Anette Lykke; Lundvall, Lene; Lomas, Lee; Høgdall, Claus

doi:10.1002/prca.200900171

Cited by 29 publications

(18 citation statements)

References 27 publications

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“…Serum CA125 has been used extensively in advanced epithelial ovarian cancer diagnosis, with 80% success. However increased CA125 was observed in only 50-60% of stage I patients [3,4], leading to 10% success with CA125 alone or 20% when combined with ultrasonic examination. This emphasized the importance of finding a highly sensitive and specific biomarker for early diagnosis of ovarian cancer [5,6].…”

Section: Introductionmentioning

confidence: 99%

Identification of serum biomarkers for ovarian cancer using MALDI–TOF-MS combined with magnetic beads

Chen

et al. 2011

Int J Clin Oncol

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Section: Introductionmentioning

confidence: 99%

Identification of serum biomarkers for ovarian cancer using MALDI–TOF-MS combined with magnetic beads

Chen

et al. 2011

Int J Clin Oncol

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“…ROMA combines two proteins, carbohydrate antigen 125 (CA125) and human epididymis protein 4 (HE4) that were identified as over expressed mRNA in ovarian cancer (Hellstrom et al, 2003). And OVA1 includes five proteins (CA125, b2-microglobulin, transferrin, apolipoprotein A1, transthyretin), four of which were identified using the Surface-Enhanced Laser Desorption/ Ionization-Time Of Flight (SELDI-TOF) platform (Høgdall et al, 2010). It is important to underline that all three biomarkers mentioned use a panel of multiple proteins to improve prediction performance.…”

Section: Biomarkersmentioning

confidence: 99%

Discovery of nutritional biomarkers: future directions based on omics technologies

Odriozola

Corrales

2015

International Journal of Food Sciences and Nutrition

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Understanding the interactions between food and human biology is of utmost importance to facilitate the development of more efficient nutritional interventions that might improve our wellness status and future health outcomes by reducing risk factors for non-transmittable chronic diseases, such as cardiovascular diseases, cancer, obesity and metabolic syndrome. Dissection of the molecular mechanisms that mediate the physiological effects of diets and bioactive compounds is one of the main goals of current nutritional investigation and the food industry as might lead to the discovery of novel biomarkers. It is widely recognized that the availability of robust nutritional biomarkers represents a bottleneck that delays the innovation process of the food industry. In this regard, omics sciences have opened up new avenues of research and opportunities in nutrition. Advances in mass spectrometry, nuclear magnetic resonance, next generation sequencing and microarray technologies allow massive genome, gene expression, proteomic and metabolomic profiling, obtaining a global and in-depth analysis of physiological/pathological scenarios. For this reason, omics platforms are most suitable for the discovery and characterization of novel nutritional markers that will define the nutritional status of both individuals and populations in the near future, and to identify the nutritional bioactive compounds responsible for the health outcomes.

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“…Despite disease heterogeneity and interexperimental reproducibility (61)(62)(63), surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS) is a useful proteomic method of discovering differentially expressed biomarkers (i.e., m/z peaks) that may be used to biochemically classify ovarian tumors (64)(65)(66), and to develop cancer prevention, screening, and treatment strategies (67)(68)(69)(70)(71)(72)(73)(74)(75)(76)(77)(78)(79)(80). However, only a few studies have identified the underlying proteins of the biomarker peaks seen in SELDI-TOF MS spectra (69,72,79,(81)(82)(83)(84)(85), which typically requires an integrated, labor-intensive chromatographic, electrophoretic, and mass spectrometric approach.…”

Section: Introductionmentioning

confidence: 99%

Ovarian Cyst Fluids Are a Cache of Tumor Biomarkers That Include Calgranulin A and Calgranulin B Isoforms

Skaggs¹,

Saunders

Miller

et al. 2013

Cancer Investigation

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SELDI-TOF MS analysis of cyst fluids identified 95 peaks that discriminate malignant, borderline, and benign ovarian tumors. Three prominent peaks, which correspond to calgranulin A (m/z 10847) and two isoforms of calgranulin B (m/z 12717 and 13294), have higher concentrations in borderline and malignant cyst fluids. Together, calgranulin A and B distinguish borderline and malignant tumors from benign tumors with 28.6% and 63.6% sensitivity for early stage disease, respectively, at 95% specificity and with 74.8% accuracy. Ovarian cyst fluids are useful for discovering discriminatory biomarkers, such as calgranulin, which may have utility for detecting, diagnosing, and biochemically classifying ovarian tumors.

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Proteomic biomarkers for overall and progression‐free survival in ovarian cancer patients

Abstract: We found an index with three proteomic biomarkers (xb-pro) to be of independent prognostic value for overall survival and an index with two proteomic biomarkers (xb-pfs) with evidence of independent prognostic value for progression-free survival.

Cited by 29 publications

References 27 publications

Identification of serum biomarkers for ovarian cancer using MALDI–TOF-MS combined with magnetic beads

Identification of serum biomarkers for ovarian cancer using MALDI–TOF-MS combined with magnetic beads

Discovery of nutritional biomarkers: future directions based on omics technologies

Ovarian Cyst Fluids Are a Cache of Tumor Biomarkers That Include Calgranulin A and Calgranulin B Isoforms

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