Elsevier

Human Pathology

Volume 94, December 2019, Pages 40-50
Human Pathology

Original contribution
Keratin 17 is a negative prognostic biomarker in high-grade endometrial carcinomas,☆☆,

https://doi.org/10.1016/j.humpath.2019.09.005Get rights and content

Highlights

  • Keratin 17 is a biomarker for poor survival in high-grade endometrial cancers.

  • Keratin 17 is predominantly localized to the cytoplasm of endometrial cancer cells.

  • Keratin 17 is expressed only in the epithelial component of endometrial cancer.

  • The prognostic value of keratin 17 is independent of tumor stage and patient age.

Summary

Keratin 17 (K17) has been established as a negative prognostic biomarker in cervical and ovarian cancers but has not previously been evaluated as a prognostic biomarker in endometrial adenocarcinoma. The association of K17 with decreased patient survival may be explained in part by the discovery that K17 drives tumor aggression by serving as a nuclear shuttle of p27, leading to cell cycle progression and tumor growth. The current study tests the hypothesis that K17 mRNA and protein levels correlate with decreased survival of patients with high-grade endometrial cancer. Gene expression data (mRNA) from The Cancer Genome Atlas were analyzed for 271 high-grade endometrial carcinomas and K17 immunohistochemistry (IHC) was performed on a separate cohort of 119 high-grade endometrial cancer cases from two academic medical centers. Survival analyses were determined by Cox proportional hazards regression. High K17 mRNA and IHC correlated with decreased overall survival (HR: 1.8, P = .0101, HR: 1.8, P = .0488, respectively). K17 was positive in malignant glandular cells of the endometrium but not in other tissues, including endometrial stroma, myometrium and uterine sarcoma. These results support the conclusion that K17 is a negative prognostic biomarker in high-grade endometrial carcinoma and that K17 IHC test results could be used to inform decisions related to therapeutic intervention.

Introduction

There is an unmet need to identify prognostic markers in high-grade endometrial adenocarcinoma that could provide information to help guide treatment and to provide more accurate predictions of patient outcomes. In the United States, endometrial cancer is the most common gynecologic malignancy [1]. Low-grade endometrial cancers are often caused by estrogen excess and account for approximately 80% of all uterine cancers. Patients with these low-grade tumors have a favorable prognosis. High-grade tumors, in contrast, are estrogen-independent and often have a poor prognosis [[2], [3], [4]]. While disease stage and histology largely dictate prognosis, patients with similar stage and grade can vary greatly in their survival outcomes [5]. The current standard-of-care treatment for patients with endometrial cancer is hysterectomy, with or without adjuvant chemotherapy. Categorizing patients based on disease aggression can help clinicians make more insightful decisions regarding the appropriate treatment option. Patients with aggressive disease should be closely monitored while patients with more indolent disease should be spared of unnecessary tests or interventions. Therefore, there remains a need to identify novel prognostic biomarkers in endometrial adenocarcinoma.

One potential candidate is keratin 17 (K17), which has been demonstrated to be a powerful negative prognostic biomarker in several cancers, including other tumors of the female genital tract (cervical squamous cell carcinoma, endocervical adenocarcinoma, and surface epithelial-derived ovarian carcinomas), triple negative breast cancer, gastric adenocarcinoma, oropharyngeal squamous cell carcinoma, and pancreatic adenocarcinoma [[6], [7], [8], [9], [10], [11], [12]]. K17 is an intermediate filament protein that is normally expressed in the ectodermal germ layer during embryogenesis but is silenced in most adult somatic tissues [13]. Mechanistic studies demonstrated that in response to mitogenic signaling, K17 translocates into the nucleus via a nuclear localization signal, where it binds to p27, a G1-S cell cycle inhibitor. The p27-K17 complex is then exported into the cytoplasm, where p27 is degraded, leading to sustained cell cycle progression [14]. Additionally, in vivo murine models showed that the absence of K17 inhibited the progression of cervical dysplasia and tumor growth, further supporting our previous findings that high expression of K17 is prognostic for reduced survival in cervical cancer [14,15]. These observations prompted our current study to test the hypothesis that higher levels of K17 mRNA and immunohistochemical staining for K17 are associated with decreased survival of patients with high-grade endometrial carcinoma.

Section snippets

TCGA data mining of K17 mRNA

mRNA expression data were obtained from TCGA (The Cancer Genome Atlas), based on RNA Sequencing (RNAseq) analyses of bulk tumor from patients that underwent hysterectomy for endometrial cancer from 2002 to 2013 (Table 1). mRNA data from 271 cases high-grade endometrial cancers, including 112 grade 3 endometrioid, 93 papillary serous, 51 carcinosarcomas, and 15 mixed or unknown subtype cases were downloaded from cBioPortal.org [16,17]. Overall survival time was calculated from the initial

High K17 mRNA expression is associated with decreased overall survival

TCGA K17 mRNA expression values in high-grade endometrial carcinomas ranged from 3.65 to 190 218 TPM (transcripts per kilobase million) (Fig. 1A). The cut-off mRNA value to maximize the overall survival differences between the high versus low K17 groups was 1862 TPM, where tumors with >1862 TPM were classified as high K17 and those with ≤1862 TPM were grouped as low K17. Based on this threshold, the low K17 mRNA group comprised 61% (164/271) of cases, whereas high K17 mRNA group comprised 39%

Discussion

In this study, we demonstrate that K17 is a significant independent predictor of survival in patients with high-grade endometrial carcinoma, and to our knowledge, this is the first study to evaluate K17 as a prognostic biomarker in uterine cancer.

K17 is principally expressed in the cytoplasm of malignant glandular cells of the endometrium, but not in benign stroma or glandular cells. Proliferating smooth muscle cells, benign or malignant, do not express K17, as no staining were detected in

Supplementary data

The following are the Supplementary data to this article.

Supplementary material

Acknowledgement

This work was supported by academic enrichment funds of the Department of Pathology at Stony Brook Medicine. The authors thank the Stony Brook Cancer Center Biorepository for expert assistance to obtain tissue specimens (Dr. R. Kew), and the Cancer Registries of the UMass Memorial Medical Center and Stony Brook University (X. Barzilay).

References (32)

  • Y.F. Wang et al.

    Overexpression of keratin 17 is associated with poor prognosis in epithelial ovarian cancer

    Tumour Biol

    (2013)
  • D. Mockler et al.

    Keratin 17 is a prognostic biomarker in endocervical glandular neoplasia

    Am J Clin Pathol

    (2017)
  • E. Regenbogen et al.

    Elevated expression of keratin 17 in oropharyngeal squamous cell carcinoma is associated with decreased survival

    Head Neck

    (2018)
  • L. Roa-Peña et al.

    Keratin 17 identifies the most lethal molecular subtype of pancreatic cancer

    Sci Rep

    (2019)
  • R. Moll et al.

    The human keratins: biology and pathology

    Histochem Cell Biol

    (2008)
  • L.F. Escobar-Hoyos et al.

    Keratin-17 promotes p27kip1 nuclear export and degradation and offers potential prognostic utility

    Cancer Res

    (2015)
  • Cited by (15)

    View all citing articles on Scopus

    Competing interests: Stony Brook University and the co-senior authors (K.R.S. and L.E.H.) have licensed K17 as a biomarker for cervical and urothelial carcinomas but there is no conflict of interest with the current study.

    ☆☆

    Funding/Support: This work was supported by academic enrichment funds of the Department of Pathology at Stony Brook Medicine.

    Previous Publication: Parts of this work have been previously presented at the 2018 annual meeting of the American Society for Investigative Pathology (ASIP).

    1

    Co-senior.

    View full text