Comparison of Risk Factors and survival of Type 1 and Type II Endometrial Cancers

Malik, Tahira Y; Chishti, Uzma; Aziz, Aliya; Irfan, Sheikh

doi:10.12669/pjms.324.9265

Cited by 16 publications

(23 citation statements)

References 19 publications

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“…It is the third most prevalent gynecological malignancy, second to breast cancer and cervical cancer (2). In 2016, >10,470 lethal forms of uterine corpus tumors occurred in the USA (3), with an approximate three-fold increase in the past 25 years (4). The majority of patients with EC are diagnosed in late clinical stages, so a poor prognosis is usually received once metastasis or relapse occurs (5).…”

Section: Introductionmentioning

confidence: 99%

HTLV‑1‑associated genes as potential biomarkers for endometrial cancer

Zhang

et al. 2019

Oncol Lett

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Endometrial carcinoma (EC) is a malignant neoplasm of the endometrial epithelium, which may be diagnosed by pathological investigations. The aim of the current study was to identify new markers for the diagnosis of EC using machine learning. The association between human T cell lymphotropic virus type 1 (HTLV-1) infection and endometrial cancer risk have not been widely reported. It remains ambiguous whether HTLV-1 infection is associated with several types of cancer. The present study investigated the association between HTLV-1 infection-associated genes and EC risk. RNA sequencing uterine cancer expression data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) were identified between normal and matched tumor samples. A total of 41 genes were selected by an overlap between HTLV-1 infection pathway-associated genes and the DEGs. Two-way hierarchical clustering analysis (HCA) and a support vector machine (SVM) classifier were constructed using the 41 genes. The accuracy of the candidate genes in risk-stratifying the samples was 100%. The accuracy of the proposed SVM model was 100%. In addition, the classification power of the SVM model was validated using a merged dataset (TCGA and the Genotype-Tissue Expression project). This predictive feature achieved reliable outcomes with risk-stratifying samples of almost 99% in two-way HCA, and an accuracy yield of 98% of the SVM classifier. In conclusion, the 41 genes identified in the current study may be implicated in the development of EC and may be of prognostic value for the disease. The results obtained the current study suggest that HTLV-1 may be potentially associated with EC and highlight potential disease mechanisms.

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Section: Introductionmentioning

confidence: 99%

HTLV‑1‑associated genes as potential biomarkers for endometrial cancer

Zhang

et al. 2019

Oncol Lett

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“… 6 Women who are unable to conceive or have never given birth are also at higher risk. 7 The use of combined oral contraceptives reduces the incidence of EC. 8 …”

Section: Classificationmentioning

confidence: 99%

Surgical treatment and fertility perservation in endometrial cancer

Kovačević

2021

Radiology and Oncology

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BackgroundEndometrial cancer (EC) represents a high health burden in Slovenia and worldwide. The incidence is increasing due to lifestyle and behavioural risk factors such as obesity, smoking, oestrogen exposure and aging of the population. In many cases, endometrial cancer is diagnosed at an early stage due to obvious signs and symptoms. The standard treatment is surgery with or without adjuvant therapy, depending on the stage of the disease and the risk of recurrence. However, treatment modalities have changed in the last decades, considerably in the extent of lymphadenectomy.ConclusionsThe gold standard of treatment for is surgery, which may be the only treatment modality in the early stages of low-grade tumours. In recent years, a minimally invasive approach with sentinel node biopsy (SNB) has been proposed. A conservative approach with hormonal treatment is used if fertility preservation is desired. If EC is in advance stage, high-risk histology, or high grade, radiotherapy, chemotherapy, or a combination of both is recommended.

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“…Estrogens, both internal and from external provision, play a significant role in EC development. The majority of type I EC cases express ER, and higher ER expression has been associated with better clinical outcomes [8]. A recent analysis by Tian et al underlined that insulin and estrogens could exert combined or even synergistic effects on the progression of type I EC [103].…”

Section: Estrogensmentioning

confidence: 99%

Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA

Sidorkiewicz

Jóźwik

Niemira

et al. 2020

Cancers

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Endometrial cancer (EC) remains one of the most common cancers of the female reproductive system. Epidemiological and clinical data implicate insulin resistance (IR) and its accompanying hyperinsulinemia as key factors in the development of EC. MicroRNAs (miRNAs) are short molecules of non-coding endogenous RNA that function as post-transcriptional regulators. Accumulating evidence has shown that the miRNA expression pattern is also likely to be associated with EC risk factors. The aim of this work was the verification of the relationships between IR, EC, and miRNA, and, as based on the literature data, elucidation of miRNA’s potential utility for EC prevention in IR patients. The pathways affected in IR relate to the insulin receptors, insulin-like growth factors and their receptors, insulin-like growth factor binding proteins, sex hormone-binding globulin, and estrogens. Herein, we present and discuss arguments for miRNAs as a plausible molecular link between IR and EC development. Specifically, our careful literature search indicated that dysregulation of at least 13 miRNAs has been ascribed to both conditions. We conclude that there is a reasonable possibility for miRNAs to become a predictive factor of future EC in IR patients.

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Comparison of Risk Factors and survival of Type 1 and Type II Endometrial Cancers

Cited by 16 publications

References 19 publications

HTLV‑1‑associated genes as potential biomarkers for endometrial cancer

HTLV‑1‑associated genes as potential biomarkers for endometrial cancer

Surgical treatment and fertility perservation in endometrial cancer

Insulin Resistance and Endometrial Cancer: Emerging Role for microRNA

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