Environmental (nongenetic) factors in gynecological cancers: update and future perspectives

Webb, Penelope M.

doi:10.2217/fon.14.142

Cited by 27 publications

(30 citation statements)

References 85 publications

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“…This latter result can also be deduced from (15) for narrow resonances with long relaxation times. Namely, for small τ/T * + 2k , the series expansion for exp(−τ/T * + 2k ) yields…”

Section: Modes Of the Component Spectrasupporting

confidence: 58%

“…As stated earlier [see also (15) and (16)], it should be emphasized that peaks heights in the absorption mode of a conventional Lorentzian lineshape are given by (…”

Section: Separation Of the Spurious From The Genuine Resonances In Thmentioning

confidence: 82%

“…Non-hereditary risk factors for ovarian cancer include use of hormone replacement therapy [11,13], unhealthy life-style (smoking, high-saturated fat diet intake, obesity) [11], late childbirth, nulliparity, endometriosis [14,15], and possibly exposure to diagnostic ionizing radiation, as well as to talc, pesticides or herbicides [11,15]. Night shift work may also increase the risk of ovarian cancer [16], possibly in relation to circadian genes that are highly expressed in the ovaries, since these genes regulate ovulation [17].…”

Section: Dimensions Of the Problem: Impact And Risk Of Ovarian Cancermentioning

confidence: 99%

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In vivo magnetic resonance spectroscopy for ovarian cancer diagnostics: quantification by the fast Padé transform

Belkić

2016

J Math Chem

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Early-stage ovarian cancer has an excellent prognosis, but due mainly to late detection, ovarian cancer remains a major cause of cancer deaths among women. In vivo magnetic resonance spectroscopy (MRS) would be an excellent candidate for early ovarian cancer detection, being non-invasive, surpassing anatomic imaging to identify metabolic features of cancer, and free of ionizing radiation. However, the present meta-analysis of 13 studies indicates that with conventional Fourier-based processing, in vivo MRS insufficiently distinguished 134 cancerous from 114 benign ovarian lesions. The fast Padé transform (FPT), an advanced signal processor with high-resolution and parametric (quantification-equipped) capabilities is best qualified for MRS time signals from the ovary, as demonstrated in our earlier proof-of-concept studies. We now apply the FPT to MRS time signals encoded in vivo on a 3 T scanner, echo time of 30 ms, from a borderline serous cystic ovarian tumor. The FPT-produced total shape spectrum was better resolved than with Fourier processing. Spectra averaging through the FPT generated a denoised total shape spectrum. Subsequent parametric analysis reconstructed dense component spectra in the "usual" mode: absorption and dispersion components mixed and "ersatz" mode: reconstructed phases set to zero, thus eliminating interference effects. Numerous metabolites, including potential cancer biomarkers, were identified and quantified by the FPT, including isoleucine, valine, lipids, lactate, alanine, lysine, N-acetyl aspartate, N-acetylneuraminic acid, gluta- mine, choline, phosphocholine, myoinositol. Many of these are difficult or impossible to detect with Fourier plus fitting techniques for in vivo MRS of the ovary. These Padé-generated results are promising, overcoming major barriers hindering MRS from becoming a key method for non-invasively assessing ovarian lesions.

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“…This latter result can also be deduced from (15) for narrow resonances with long relaxation times. Namely, for small τ/T * + 2k , the series expansion for exp(−τ/T * + 2k ) yields…”

Section: Modes Of the Component Spectrasupporting

confidence: 58%

“…As stated earlier [see also (15) and (16)], it should be emphasized that peaks heights in the absorption mode of a conventional Lorentzian lineshape are given by (…”

Section: Separation Of the Spurious From The Genuine Resonances In Thmentioning

confidence: 82%

Section: Dimensions Of the Problem: Impact And Risk Of Ovarian Cancermentioning

confidence: 99%

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In vivo magnetic resonance spectroscopy for ovarian cancer diagnostics: quantification by the fast Padé transform

Belkić

2016

J Math Chem

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“…Due to the changes to the human lifestyle, the occurrence of reproductive-, diet-and hormone-associated types of cancer is increasing (17). Accumulating evidence has revealed that miRs participate in tumorigenesis, tumor development, drug resistance and other pathological processes of cancer (18).…”

Section: Discussionmentioning

confidence: 99%

miR-494 inhibits ovarian cancer cell proliferation and promotes apoptosis by targeting FGFR2

et al. 2016

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Abstract. MicroRNAs (miRs) have been reported to be key regulators in numerous types of cancer. The aim of the present study was to investigate the role of miR-494 in ovarian cancer. Expression of miR-494 was analyzed in ovarian cancer tissues and cell lines by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). miR-494 mimic or negative control was transiently transfected into A2780 and SKOV3 cell lines. A cell counting kit-8 assay was performed to assess the effects of miR-494 on cell proliferation, and flow cytometry was used to evaluate the apoptotic rate. The target gene of miR-494 was detected by luciferase assay. Expression of fibroblast growth factor receptor 2 (FGFR2) was identified using RT-qPCR and western blotting. In the present study, decreased expression of miR-494 was observed in ovarian cancer samples and cell lines. Overexpression of miR-494 inhibited ovarian cancer cell proliferation by inducing apoptosis. Additional investigation indicated that FGFR2 was a direct target of miR-494. Taken together, the results of the present study suggested that miR-494 suppressed ovarian cancer cell proliferation by inducing apoptosis via targeting FGFR2.

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“…• метаболический синдром: избыточная масса тела и ожирение, нарушение метаболизма глю-козы, низкая физическая активность; • отягощенный злокачественными опухолями семейный анамнез [7,8]. Представленные факторы риска РЯ согласуются с данными о том, что ЗН яичников в большинстве слу-чаев гормонозависимы.…”

Section: опухоли женской репродуктивной системы Tumors Of Female Reprunclassified

Risk Factors for Multiple Primary Malignant Tumors of the Ovaries Among Women of the Novosibirsk Region

Герасимов¹,

Савкова²,

Красильников³

et al. 2017

Tumors of female reproductive system

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Environmental (nongenetic) factors in gynecological cancers: update and future perspectives

Cited by 27 publications

References 85 publications

In vivo magnetic resonance spectroscopy for ovarian cancer diagnostics: quantification by the fast Padé transform

In vivo magnetic resonance spectroscopy for ovarian cancer diagnostics: quantification by the fast Padé transform

miR-494 inhibits ovarian cancer cell proliferation and promotes apoptosis by targeting FGFR2

Risk Factors for Multiple Primary Malignant Tumors of the Ovaries Among Women of the Novosibirsk Region

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