Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Dec 1:15:38.
doi: 10.1186/s12014-018-9216-y. eCollection 2018.

A two-step strategy for identification of plasma protein biomarkers for endometrial and ovarian cancer

Affiliations

A two-step strategy for identification of plasma protein biomarkers for endometrial and ovarian cancer

Stefan Enroth et al. Clin Proteomics. .

Abstract

Background: Over 500,000 women worldwide are diagnosed with ovarian or endometrial cancer each year. We have used a two-step strategy to identify plasma proteins that could be used to improve the diagnosis of women with an indication of gynecologic tumor and in population screening.

Methods: In the discovery step we screened 441 proteins in plasma using the proximity extension assay (PEA) and five Olink Multiplex assays (CVD II, CVD III, INF I, ONC II, NEU I) in women with ovarian cancer (n = 106), endometrial cancer (n = 74), benign ovarian tumors (n = 150) and healthy population controls (n = 399). Based on the discovery analyses a set of 27 proteins were selected and two focused multiplex PEA assays were developed. In a replication step the focused assays were used to study an independent set of cases with ovarian cancer (n = 280), endometrial cancer (n = 228), women with benign ovarian tumors (n = 76) and healthy controls (n = 57).

Results: In the discovery step, 27 proteins that showed an association to cancer status were identified. In the replication analyses, the focused assays distinguished benign tumors from ovarian cancer stage III-IV with a sensitivity of 0.88 and specificity of 0.92 (AUC = 0.92). The assays had a significantly higher AUC for distinguishing benign tumors from late stage ovarian cancer than using CA125 and HE4 (p = 9.56e-22). Also, population controls could be distinguished from ovarian cancer stage III-IV with a sensitivity of 0.85 and a specificity of 0.92 (AUC = 0.89).

Conclusion: The PEA assays represent useful tools for identification of new biomarkers for gynecologic cancers. The selected protein assays could be used to distinguish benign tumors from ovarian and endometrial cancer in women diagnosed with an unknown suspicious pelvic mass. The panels could also be used in population screening, for identification of women in need of specialized gynecologic transvaginal ultrasound examination.

Funding: The Swedish Cancer Foundation, Vinnova (SWELIFE), The Foundation for Strategic Research (SSF), Assar Gabrielsson Foundation.

Keywords: Diagnostics; Endometrial cancer; Ovarian cancer; Proximity extension assay (PEA); Sensitivity; Specificity.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
The study design for identification of protein biomarkers using PEA
Fig. 2
Fig. 2
Distribution of differences in NPX values in the discovery step between benign tumors and OC (ac) and between OC and EC (d). Only protein labels for the significant differences are shown
Fig. 3
Fig. 3
Reporter operator characteristic (ROC) for combinations of proteins in the discovery step. a Benign tumors versus Ovarian cancer stage I–II. b Benign tumors versus Ovarian cancer stage III–IV. c Benign tumors versus Ovarian cancer stage I–IV. d Population controls versus Ovarian cancer stage I–II. e Population controls versus Ovarian cancer stage III–IV. f Population controls versus Ovarian cancer stage I–IV. g Benign tumors versus Endometrial cancer. h Controls versus Endometrial cancer. i Ovarian cancer stage I-IV versus endometrial cancer versus
Fig. 4
Fig. 4
Correlation between CA125 values from the multiplex PEA used in the discovery step and from clinical ELISA, for benign tumors (in black) and ovarian cancer patients (in red)
Fig. 5
Fig. 5
Correlation in protein abundance between the 92-plex panels and the focused protein panels for the six proteins a CA125, b IL10, c ENRAGE, d HE4, e MK, f Dkk4
Fig. 6
Fig. 6
Reporter operator characteristic (ROC) for combinations of proteins in replication stage. The blue line is using CA125 and HE4 only. a Benign tumors versus Ovarian cancer stage I–II. b Benign tumors versus Ovarian cancer stage III–IV. c Benign tumors versus Ovarian cancer stage I–IV. d Population controls versus Ovarian cancer stage I–II. e Population controls versus Ovarian cancer stage III–IV. f Population controls versus Ovarian cancer stage I–IV. g Benign tumors versus Endometrial cancer. h Controls versus Endometrial cancer. i Ovarian cancer stage I–IV versus endometrial cancer versus
Fig. 7
Fig. 7
Correlation between AUC values for some of the proteins overlapping between our study and that by Boylan et al. [5] for the comparison between benign tumors and ovarian cancer stage III–IV (left panel) and I–II (right panel)

Similar articles

Cited by

References

    1. Ferley, GLOBOSCAN 2012: Estimated Cancer incidence, mortality and prevlance worldwide 2012. 2012.
    1. Moore RG, et al. Evaluation of the diagnostic accuracy of the risk of ovarian malignancy algorithm in women with a pelvic mass. Obstet Gynecol. 2011;118(2 Pt 1):280–288. doi: 10.1097/AOG.0b013e318224fce2. - DOI - PMC - PubMed
    1. Coleman RL, et al. Validation of a second-generation multivariate index assay for malignancy risk of adnexal masses. Am J Obstet Gynecol. 2016;215(1):82e1–82e11. doi: 10.1016/j.ajog.2016.03.003. - DOI - PubMed
    1. Simmons AR, et al. Validation of a biomarker panel and longitudinal biomarker performance for early detection of ovarian cancer. Int J Gynecol Cancer. 2016;26(6):1070–1077. doi: 10.1097/IGC.0000000000000737. - DOI - PMC - PubMed
    1. Boylan KLM, et al. A multiplex platform for the identification of ovarian cancer biomarkers. Clin Proteomics. 2017;14:34. doi: 10.1186/s12014-017-9169-6. - DOI - PMC - PubMed