Genomic heterogeneity in peritoneal implants: A differential analysis of gene expression using nanostring Human Cancer Reference panel identifies a malignant signature

Mhawech‐Fauceglia, Paulette; Izevbaye, Iyare; Spindler, Tassja J.; Wang, Guisong; Hwang, Helena; Samrao, Damanzoopinder; Elishaev, Ester; Maxwell, G. Larry; Lawrenson, Kate; Darcy, Kathleen M.

doi:10.1016/j.ygyno.2019.10.021

Gynecologic Oncology

2020

DOI: 10.1016/j.ygyno.2019.10.021

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Genomic heterogeneity in peritoneal implants: A differential analysis of gene expression using nanostring Human Cancer Reference panel identifies a malignant signature

Paulette Mhawech‐Fauceglia

Iyare Izevbaye

Tassja J. Spindler

et al.

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Cited by 3 publications

(1 citation statement)

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“…From this perspective, molecular classification is warranted to provide an adjunct tool for differential diagnosis. In this article published in this issue, Mhawech-Fauceglia et al performed gene expression profiling in a small set of cancer-associated genes and proposed that a molecular classification is possible in non-invasive implants, invasive implants (LGSC), and high-grade (HG) serous peritoneal metastatic lesions [10]. The investigators reported that as compared to non-invasive implants, invasive implants and HG serous peritoneal metastatic lesions exhibit a higher level of genomic dysregulation that favor carcinogenesis.…”

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confidence: 99%

Not All Peritoneal Implants Are Created Equal

Varghese

Shih

2020

Gynecologic Oncology

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mentioning

confidence: 99%

Not All Peritoneal Implants Are Created Equal

Varghese

Shih

2020

Gynecologic Oncology

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Identification of a robust non-coding RNA signature in diagnosing autism spectrum disorder by cross-validation of microarray data from peripheral blood samples

Cheng

Zhou

et al. 2020

Medicine

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Novel molecular signatures are needed to improve the early and accurate diagnosis of autism spectrum disorder (ASD), and indicate physicians to provide timely intervention. This study aimed to identify a robust blood non-coding RNA (ncRNA) signature in diagnosing ASD. One hundred eighty six blood samples in the microarray dataset were randomly divided into the training set (n = 112) and validation set (n = 72). Then, the microarray probe expression profile was re-annotated into the expression profile of 4143 ncRNAs though probe sequence mapping. In the training set, least absolute shrinkage and selection operator (LASSO) penalized generalized linear model was adopted to identify the 20-ncRNA signature, and a diagnostic score was calculated for each sample according to the ncRNA expression levels and the model coefficients. The score demonstrated an excellent diagnostic ability for ASD in the training set (area under receiver operating characteristic curve [AUC] = 0.96), validation set (AUC = 0.97) and the overall (AUC = 0.96). Moreover, the blood samples of 23 ASD patients and 23 age- and gender-matched controls were collected as the external validation set, in which the signature also showed a good diagnostic ability for ASD (AUC = 0.96). In subgroup analysis, the signature was also robust when considering the potential confounders of sex, age, and disease subtypes. In comparison with a 55-gene signature deriving from the same dataset, the ncRNA signature showed an obviously better diagnostic ability (AUC: 0.96 vs 0.68, P < .001). In conclusion, this study identified a robust blood ncRNA signature in diagnosing ASD, which might help improve the diagnostic accuracy for ASD in clinical practice.

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Serous borderline ovarian tumours: an extensive review on MR imaging features

Şahin

Akdoğan

Smith

et al. 2021

The British Journal of Radiology

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Serous borderline ovarian tumours (SBOTs) are an intermediate group of neoplasms which have features between benign and malignant ovarian tumours and for which, fertility-sparing surgery can be offered. MRI in imaging of SBOTs is therefore crucial in raising the possibility of the diagnosis, in order to present the patient with the most appropriate treatment options. There are characteristic MRI features that SBOTs demonstrate. In addition, recent advanced techniques, and further classification into sub types within the borderline group have been developed. The aim of this article is to review the MRI features of SBOT and provide the reporter with an awareness of the imaging tips and tricks in the differential diagnosis of SBOT.

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Genomic heterogeneity in peritoneal implants: A differential analysis of gene expression using nanostring Human Cancer Reference panel identifies a malignant signature

Cited by 3 publications

References 28 publications

Not All Peritoneal Implants Are Created Equal

Not All Peritoneal Implants Are Created Equal

Identification of a robust non-coding RNA signature in diagnosing autism spectrum disorder by cross-validation of microarray data from peripheral blood samples

Serous borderline ovarian tumours: an extensive review on MR imaging features

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