| 1. |
- Kaaks, Rudolf, et al.
(författare)
-
Tumor-associated autoantibodies as early detection markers for ovarian cancer? : A prospective evaluation
- 2018
-
Ingår i: International Journal of Cancer. - : Wiley-Blackwell. - 0020-7136 .- 1097-0215. ; 143:3, s. 515-526
-
Tidskriftsartikel (refereegranskat)abstract
- Immuno-proteomic screening has identified several tumor-associated autoantibodies (AAb) that may have diagnostic capacity for invasive epithelial ovarian cancer, with AAbs to P53 proteins and cancer-testis antigens (CTAGs) as prominent examples. However, the early detection potential of these AAbs has been insufficiently explored in prospective studies. We performed ELISA measurements of AAbs to CTAG1A, CTAG2, P53 and NUDT11 proteins, for 194 patients with ovarian cancer and 705 matched controls from the European EPIC cohort, using serum samples collected up to 36 months prior to diagnosis under usual care. CA125 was measured using electrochemo-luminiscence. Diagnostic discrimination statistics were calculated by strata of lead-time between blood collection and diagnosis. With lead times 6 months, ovarian cancer detection sensitivity at 0.98 specificity (SE98) varied from 0.19 [95% CI 0.08-0.40] for CTAG1A, CTAG2 and NUDT1 to 0.23 [0.10-0.44] for P53 (0.33 [0.11-0.68] for high-grade serous tumors). However, at longer lead-times, the ability of these AAb markers to distinguish future ovarian cancer cases from controls declined rapidly; at lead times >1 year, SE98 estimates were close to zero (all invasive cases, range: 0.01-0.11). Compared to CA125 alone, combined logistic regression scores of AAbs and CA125 did not improve detection sensitivity at equal level of specificity. The added value of these selected AAbs as markers for ovarian cancer beyond CA125 for early detection is therefore limited. What's new? Could autoantibodies against tumor antigens provide an early warning system for ovarian cancer? These authors tested how well certain antibodies detected ovarian cancer. They selected four candidate antibodies, to p53, CTAG1A, CTAG2 and NUDT11 proteins, which appear in elevated levels in cancer patients. None of them performed well as a herald of burgeoning cancer. They did not perform any better than the best currently available biomarker, CA125, and as lead times increased past 6 months prediagnosis, the effectiveness diminished. Surprisingly, elevated antibodies appeared in quite a few of the control samples, suggesting they might not be as cancer-specific as expected.
|
|
| 2. |
- Terry, Kathryn L., et al.
(författare)
-
A Prospective Evaluation of Early Detection Biomarkers for Ovarian Cancer in the European EPIC Cohort
- 2016
-
Ingår i: Clinical Cancer Research. - : American Association for Cancer Research. - 1078-0432 .- 1557-3265. ; 22:18, s. 4664-4675
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: About 60% of ovarian cancers are diagnosed at late stage, when 5-year survival is less than 30% in contrast to 90% for local disease. This has prompted search for early detection biomarkers. For initial testing, specimens taken months or years before ovarian cancer diagnosis are the best source of information to evaluate earlydetection biomarkers. Here we evaluate the most promising ovarian cancer screening biomarkers in prospectively collected samples from the European Prospective Investigation into Cancer and Nutrition study. Experimental Design: We measured CA125, HE4, CA72.4, and CA15.3 in 810 invasive epithelial ovarian cancer cases and 1,939 controls. We calculated the sensitivity at 95% and 98% specificity as well as area under the receiver operator curve (C-statistic) for each marker individually and in combination. In addition, we evaluated marker performance by stage at diagnosis and time between blood draw and diagnosis. Results: We observed the best discrimination between cases and controls within 6 months of diagnosis for CA125 (C-statistic = 0.92), then HE4 (0.84), CA72.4 (0.77), and CA15.3 (0.73). Marker performance declined with longer time between blood draw and diagnosis and for earlier staged disease. However, assessment of discriminatory ability at early stage was limited by small numbers. Combinations of markers performed modestly, but significantly better than any single marker. Conclusions: CA125 remains the single best marker for the early detection of invasive epithelial ovarian cancer, but can be slightly improved by combining with other markers. Identifying novel markers for ovarian cancer will require studies including larger numbers of early-stage cases.
|
|
| 3. |
- Tikk, Kaja, et al.
(författare)
-
Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
- 2014
-
Ingår i: Annals of Oncology. - : Oxford University Press. - 0923-7534 .- 1569-8041. ; 25:7, s. 1422-1428
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Experimental and epidemiological evidence suggests that prolactin might play a role in the etiology of breast cancer. We analyzed the relationship of pre-diagnostic circulating prolactin levels with the risk of breast cancer by menopausal status, use of postmenopausal hormone replacement therapy (HRT) at blood donation, and by estrogen and progesterone receptor-status of the breast tumors. METHODS: Conditional logistic regression was used to analyze the data from a case-control study nested within the prospective European EPIC cohort, including 2250 invasive breast cancer and their matched control subjects. RESULTS: Statistically significant heterogeneity in the association of prolactin levels with breast cancer risk between women who were either pre- or postmenopausal at the time of blood donation was observed (Phet=0.04). Higher serum levels of prolactin were associated with significant increase in risk of breast cancer among postmenopausal women (ORQ4-Q1=1.29 [95%CI 1.05-1.58], Ptrend=0.09); however this increase in risk seemed to be confined to women who used postmenopausal HRT at blood donation (ORQ4-Q1=1.45 [95%CI 1.08-1.95], Ptrend=0.01), whereas no statistically significant association was found for the non-users of HRT (ORQ4-Q1 =1.11 [95%CI 0.83-1.49], Ptrend=0.80) (Phet=0.08). Among premenopausal women, a statistically non-significant inverse association was observed (ORQ4-Q1 =0.70 [95%CI 0.48-1.03], Ptrend=0.16). There was no heterogeneity in the prolactin-breast cancer association by hormone receptor status of the tumor. CONCLUSION: Our study indicates that higher circulating levels of prolactin among the postmenopausal HRT users at baseline may be associated with increased breast cancer risk.
|
|
