Autoantibodies, antigen-autoantibody complexes and antigens complement CA125 for early detection of ovarian cancer.

BACKGROUND: Multiple antigens, autoantibodies (AAb), and antigen-autoantibody (Ag-AAb) complexes were compared for their ability to complement CA125 for early detection of ovarian cancer. METHODS: Twenty six biomarkers were measured in a single panel of sera from women with early stage (I-II) ovarian cancers (n = 64), late stage (III-IV) ovarian cancers (186), benign pelvic masses (200) and from healthy controls (502), and then split randomly (50:50) into a training set to identify the most promising classifier and a validation set to compare its performance to CA125 alone. RESULTS: Eight biomarkers detected ≥ 8% of early stage cases at 98% specificity. A four-biomarker panel including CA125, HE4, HE4 Ag-AAb and osteopontin detected 75% of early stage cancers in the validation set from among healthy controls compared to 62% with CA125 alone (p = 0.003) at 98% specificity. The same panel increased sensitivity for distinguishing early-stage ovarian cancers from benign pelvic masses by 25% (p = 0.0004) at 95% specificity. From 21 autoantibody candidates, 3 AAb (anti-p53, anti-CTAG1 and annt-Il-8) detected 22% of early stage ovarian cancers, potentially lengthening lead time prior to diagnosis. CONCLUSION: A four biomarker panel achieved greater sensitivity at the same specificity for early detection of ovarian cancer than CA125 alone.

Normal Risk Ovarian Screening Study: 21-Year Update.

PURPOSE: The Normal Risk Ovarian Screening Study (NROSS) tested a two-stage screening strategy in postmenopausal women at conventional hereditary risk where significantly rising cancer antigen (CA)-125 prompted transvaginal sonography (TVS) and abnormal TVS prompted surgery to detect ovarian cancer. METHODS: A total of 7,856 healthy postmenopausal women were screened annually for a total of 50,596 woman-years in a single-arm study (ClinicalTrials.gov identifier: NCT00539162). Serum CA125 was analyzed with the Risk of Ovarian Cancer Algorithm (ROCA) each year. If risk was unchanged and <1:2,000, women returned in a year. If risk increased above 1:500, TVS was undertaken immediately, and if risk was intermediate, CA125 was repeated in 3 months with a further increase in risk above 1:500 prompting referral for TVS. An average of 2% of participants were referred to TVS annually. RESULTS: Thirty-four patients were referred for operations detecting 15 ovarian cancers and two borderline tumors with 12 in early stage (I-II). In addition, seven endometrial cancers were detected with six in stage I. As four ovarian cancers and two borderline tumors were diagnosed with a normal ROCA, the sensitivity for detecting ovarian and borderline cancer was 74% (17 of 23), and 70% of ROCA-detected cases (12 of 17) were in stage I-II. NROSS screening reduced late-stage (III-IV) disease by 34% compared with UKCTOCS controls and by 30% compared with US SEER values. The positive predictive value (PPV) was 50% (17 of 34) for detecting ovarian cancer and 74% (25 of 34) for any cancer, far exceeding the minimum acceptable study end point of 10% PPV. CONCLUSION: While the NROSS trial was not powered to detect reduced mortality, the high specificity, PPV, and marked stage shift support further development of this strategy.

Elevated serum P1NP predicts development of bone metastasis and survival in early-stage breast cancer.

Bone is the most common site of metastasis of breast cancer, affecting most women with advanced disease. Procollagen type I N-terminal propeptide (P1NP), osteocalcin, CTX, and IL-6 are markers of bone turnover. Our objective was to determine whether serum levels of these proteins have clinical utility as predictors of breast cancer metastasis to bone. Blood was collected before treatment from 164 patients with stage I-III breast cancer from September 2001 to December 2008. Serum levels of P1NP, CTX, IL-6, and OC were measured using an automated immunoassay system. Correlations of the levels of these markers with time to bone metastasis development and with overall survival (OS) rate were assessed using Cox proportional hazards regression analysis and the Kaplan-Meier method. Fifty-five patients with stage I-III disease at the time of blood sample collection subsequently experienced metastasis to bone. A baseline P1NP level of at least 75 ng/mL predicted increased risk of bone metastasis (hazard ratio, 2.7 [95 % confidence interval, 1.2-6.0]; P = 0.031) and a poor OS rate (P = 0.031). Serum P1NP levels at or above 75 ng/mL correlate with a short time to development of bone metastasis and low overall survival in patients with stage I-III breast cancer.

High serum thymidine kinase 1 level predicts poorer survival in patients with chronic lymphocytic leukemia.

Serum thymidine kinase 1 (TK1) levels have been reported to have prognostic significance in patients with chronic lymphocytic leukemia (CLL). Until recently, serum TK1 levels were assessed using inconvenient radioenzyme assays. In this study, we used a novel chemiluminescence assay to assess serum TK1 levels in patients with CLL at the time of first examination. We show that high serum TK1 levels predict poorer overall survival and correlate with unmutated immunoglobulin variable region genes, CD38 and ZAP-70 expression, and subsequent risk of developing large B-cell lymphoma (Richter syndrome). Similar findings were observed in a subset of patients treated with current fludarabine-based chemotherapy regimens. We suggest that serum TK1 levels analyzed using this convenient chemiluminescence assay may be useful in the risk assessment of patients with CLL.

A multicenter evaluation of the Iris iQ200 automated urine microscopy analyzer body fluids module and comparison with hemacytometer cell counts.

Manual hemacytometer cell counting of body fluids is labor-intensive and requires skilled testing personnel. We performed a multicenter evaluation of the Iris iQ200 automated microscopy analyzer Body Fluids Module (Iris Diagnostics, Chatsworth, CA) and compared 350 iQ200 body fluid cell counts with manual hemacytometer cell counts. Within-run imprecision, expressed as coefficient of variation (CV), ranged from 2.6% to 5.9% for RBC counts between 875 and 475 x 10(6)/L and from 4.2% to 6.5% for nucleated cell counts between 820 and 590 x 10(6)/L. The lower limits of detection, based on a CV of 20% or less, were 30 and 35 x 10(6)/L for RBCs and nucleated cells, respectively. There was very good agreement between automated iQ200 and manual body fluid cell counts based on slopes and r2 values. The iQ200 has satisfactory performance for enumerating RBCs and nucleated cells in most body fluids, with the exception of cerebrospinal fluid specimens that contain low cell numbers.

Clinical evaluation of the Elecsys CA 15-3 test in breast cancer patients.

The aim of the present study was to evaluate the clinical performance of the CA 15-3 assay on Elecsys systems in an international multicenter study (11 centers). A total of 1326 single samples (272 apparently healthy individuals, 34 pregnant women, 308 benign diseases, 273 cancers other than breast, 439 breast cancer) and 538 serial samples of 98 breast cancer patients during follow-up were analyzed. 95% of values in healthy individuals were below 25 kU/L, and 88% in benign breast diseases, respectively. In malignant breast disease at primary diagnosis the value distribution of Elecsys CA 15-3, sensitivity at 95% specificity, as well as the areas under the curve in ROC analysis were clearly correlated to tumor stages: UICC I to IV 88 to 25% of values < 25 kU/L, sensitivity 7 to 78%, areas under the curve 0.53 to 0.94. During follow-up, sensitivity/specificity for detection of recurrences were 90%/71%. In metastatic disease clinical progression/response to therapy were indicated in 91%/78% of patients at a specificity of 92%/78%. The findings indicate that the Elecsys CA 15-3 assay is very suitable in routine work for detection of recurrences as well as for therapy control in metastatic breast cancer.