Joanna Jonska-Gmyrek

Prof. Joanna Jonska-Gmyrek

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 August 2014 in Journal of the European Academy of Dermatology and Venereology
Verified
Journal Article
Closed access
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Mateusz Jacek SpałekMateusz Jacek Spałek
Mateusz Jacek Spałek
JJJoanna Jonska-Gmyrek
Joanna Jonska-Gmyrek
JGJ. Gałecki
J. Gałecki

1 March 2008 in European Journal of Cancer
Verified
Journal Article
Closed access
ABA. Bardin
A. Bardin
SVS. Vaccarella
S. Vaccarella
GCG.M. Clifford
G.M. Clifford
JLJolanta Lissowska
Jolanta Lissowska
MRM. Rekosz
M. Rekosz
SFS. Franceschi
S. Franceschi

1 January 2014 in Gynecologic Oncology
Verified
Journal Article
Closed access
AZAgnieszka Zolciak-Siwinska
Agnieszka Zolciak-Siwinska
MBMichal Bijok
Michal Bijok
JJJoanna Jonska-Gmyrek
Joanna Jonska-Gmyrek
MKMaria Kawczynska
Maria Kawczynska
LKLucyna Kepka
Lucyna Kepka
WMWojciech Michalski
Wojciech Michalski

20 August 2015 in Tumor Biology
Verified
Journal Article
Open access
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BKBeata Kotowicz
Beata Kotowicz
MFMalgorzata Fuksiewicz
Malgorzata Fuksiewicz
JJJoanna Jonska-Gmyrek
Joanna Jonska-Gmyrek
MBMariusz Bidziński
Mariusz Bidziński
MKMaria Kowalska
Maria Kowalska
The aim of this study is to determine the prognostic value of tumor markers, as squamous cell carcinoma antigen (SCCAg) and cytokeratin-19 fragment (CYFRA 21.1) and interleukin 6 (IL-6), vascular endothelial growth factor (VEGF), soluble tumor necrosis factor receptor I (sTNF RI), and sTNF RII in patients with squamous cell carcinoma of the cervix. The subjects of analysis were 138 patients with stage I–IVA according to the International Federation of Gynecology and Obstetrics (FIGO) classification. The collected research material comes from one oncology center. During the 10 years of follow-up, 56 relapses and 53 deaths were observed, and recurrent disease in early stage was confirmed in 45 % of patients. The pretreatment serum levels of SCCAg and CYFRA 21.1, and cytokines IL-6, VEGF, sTNF RI, and sTNF RII were determined in all patients. The probability of disease-free survival (DFS) and overall survival (OS) was evaluated using the log-rank test and the Cox regression model. Based on the ROC curve analysis for patients with recurrence, the largest area under the curve was demonstrated for SCCAg and IL-6 and for patients who died, for SCCAg and VEGF. Cox analysis demonstrated that independent prognostic factor for DFS was only SCCAg and for OS cytokine IL-6 and SCCAg, but in patients with early stage the prognostic value for DFS was VEGF, whereas IL-6 and CYFRA 21.1 for OS. Serum level of VEGF, CYFRA 21.1 and IL-6 before treatment in patients with early stage cervical cancer appears to be an important prognostic factor.

1 November 2018 in Cancer Management and Research
Verified
Journal Article
Open access
PDF file
JJJoanna Jonska-Gmyrek
Joanna Jonska-Gmyrek
LGLeszek Gmyrek
Leszek Gmyrek
AZAgnieszka Zolciak-Siwinska
Agnieszka Zolciak-Siwinska
MKMaria Kowalska
Maria Kowalska
MFMalgorzata Fuksiewicz
Malgorzata Fuksiewicz
BKBeata Kotowicz
Beata Kotowicz
Objective: Our study assessed the clinical utility and prognostic value of pretreatment hematological parameters and calculated coefficients including the platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), and monocyte to lymphocyte ratio (MLR) in patients with cervical adenocarcinoma (CA). Materials and methods: Among 738 cervical cancer patients with International Federation of Gynecology and Obstetrics (FIGO) stages IA–IV treated at our institution, 96 (13%) presented with CA histology. The blood samples, collected within 10 days before treatment, were analyzed using a Sysmex XN-2000 system. The statistical tests included Mann–Whitney U-tests, log-rank tests, and Cox regression models. The cutoff points for the calculated hematological coefficients (NLR, PLR, and MLR) were determined using the MedCalc statistical program. Results: The prognostic factor for overall survival (OS) and recurrence-free survival (RFS) in CA was clinical stage according to FIGO classification (FIGO IIB–IV vs I–IIA) (P=0.0001; P=0.002). Among patients with FIGO stage IIB–IV treated with radiotherapy/chemoradiotherapy, an elevated PLR was a negative prognostic factor for OS (P=0.017; HR: 2.96; 95% CI: 2.069–3.853). Among all patients, an elevated pretreatment NLR was a poor prognostic factor for OS (P=0.014; HR: 2.85; 95% CI: 2.011–3.685) and RFS (P=0.049; HR: 4.0; 95% CI: 2.612–5.392). The white blood cell count (WBC) before treatment was significantly higher in patients who died during follow-up (P=0.009). Conclusion: Elevated NLR values before treatment may be associated with a shorter time of RFS and OS, while PLR index may have prognostic significance for OS in patients with advanced disease (FIGO IIB–IV). Both indexes and WBC may be a cost-effective biomarker that can be used conveniently for stratification of recurrence risk and death.

1 August 2017 in European Journal of Obstetrics & Gynecology and Reproductive Biology
Verified
Journal Article
Closed access
BKBeata Kotowicz
Beata Kotowicz
MFMalgorzata Fuksiewicz
Malgorzata Fuksiewicz
JJJoanna Jonska-Gmyrek
Joanna Jonska-Gmyrek
MWMichał Wągrodzki
Michał Wągrodzki
MKMaria Kowalska
Maria Kowalska