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Prediction of Future Development of ...

Mert, Ismail.

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Prediction of Future Development of Endometrial Cancer: Is There Any Hiding Bug Within the Endometrial Samples?

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prediction of Future Development of Endometrial Cancer: Is There Any Hiding Bug Within the Endometrial Samples?/
作者:	Mert, Ismail.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	44 p.
附註:	Source: Masters Abstracts International, Volume: 80-12.
Contained By:	Masters Abstracts International80-12.
標題:	Microbiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10750005
ISBN:	9781392233108

Prediction of Future Development of Endometrial Cancer: Is There Any Hiding Bug Within the Endometrial Samples?
Mert, Ismail.

Prediction of Future Development of Endometrial Cancer: Is There Any Hiding Bug Within the Endometrial Samples? - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 44 p.

Source: Masters Abstracts International, Volume: 80-12.

Thesis (M.S.)--College of Medicine - Mayo Clinic, 2019.

This item must not be sold to any third party vendors.

Endometrial cancer (EC) is the most common gynecologic cancer in women and its incidence is increasing. Fifteen percent of the patients are diagnosed at advanced stage and they have poor outcome. Currently, there is no screening test that has been shown to reduce the incidence of EC and only a few preventative measures are available. We have previously identified the association of two particular bacteria with patients with EC: Porphyromonas somerae and Peptoniphilus coxii. In this study, we aimed to analyze whether the presence of P.somerae and/or P.coxii was associated with benign endometrial biopsies or hyperplasia without atypia biopsy samples prior to the development of EC using qPCR or FISH. Control group was selected among patients who underwent hysterectomy due to benign reasons. EC and control group was matched based on race, date of birth (+/- 3 years), date of hysterectomy (+/- 3 years), date of endometrial biopsy (EMB) and histology on endometrial biopsy. There were 28 EC and 28 controls in each group and FFPE biopsies of each patient were cut and used for experiments. In modeling EC vs. control, logistic regression was used with the predictor of interest tested using a likelihood ratio test for the adjusted tests. For paired analysis, a likelihood ratio test based on conditional logistic regression was used. 16s rDNA qPCR and FISH probes were used. Despite multiple attempts and modifications, qPCR did not amplify reliably using FFPE samples. FISH analysis of samples showed that universal signaling was detected in 18 of the EC and 21 of the cases. Among 28 EC patients, 8 women were shown to be positive for P. somerae and 10 were positive for P. coxii. Among control women, 12 patients were positive for P. somerae and 12 were positive for P. coxii. Presence of P.somerae or P. coxii was not associated with EC in adjusted models (p=0.19 and p=0.83 respectively), although the low statistical power prevents a conclusive result. In conclusion, FISH had a low yield in analyzing microbiome markers in FFPE tissue. Whether presence of P. somerae or P.coxii is associated with future development of EC requires further investigation with different techniques or improvements to the current technique.

ISBN: 9781392233108Subjects--Topical Terms:

536250
Microbiology.

Prediction of Future Development of Endometrial Cancer: Is There Any Hiding Bug Within the Endometrial Samples?
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