Abstract 4704: Correlation between serum cytokine/angiogenic factors (CAFs) and tumor markers in testicular germ cell tumor patients.

Author(s):  
Daniela Svetlovska ◽  
Michal Mego ◽  
Dana Cholujova ◽  
Paulina Gronesova ◽  
Patrik Palacka ◽  
...  
2014 ◽  
Vol 32 (15_suppl) ◽  
pp. e15541-e15541
Author(s):  
Michal Chovanec ◽  
Miriam Zatovicova ◽  
Dana Cholujova ◽  
Paulina Gronesova ◽  
Vera Miskovska ◽  
...  

Oncotarget ◽  
2016 ◽  
Vol 8 (31) ◽  
pp. 50608-50617 ◽  
Author(s):  
Camila Maria da Silva Martinelli ◽  
André van Helvoort Lengert ◽  
Flavio Mavignier Cárcano ◽  
Eduardo Caetano Albino Silva ◽  
Mariana Brait ◽  
...  

2019 ◽  
Vol 17 (5) ◽  
pp. e1020-e1025
Author(s):  
Nikola Hapakova ◽  
Zuzana Sestakova ◽  
Andrea Holickova ◽  
Lenka Hurbanova ◽  
Vera Miskovska ◽  
...  

2017 ◽  
Vol 43 (4) ◽  
pp. 644-651 ◽  
Author(s):  
Camila Sposito ◽  
Mariana Camargo ◽  
Danielle Spinola Tibaldi ◽  
Valéria Barradas ◽  
Agnaldo Pereira Cedenho ◽  
...  

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. e15552-e15552 ◽  
Author(s):  
Michal Chovanec ◽  
Michal Mego ◽  
Dana Cholujova ◽  
Paulina Gronesova ◽  
Vera Miskovska ◽  
...  

2020 ◽  
Vol 50 (10) ◽  
pp. 1201-1208
Author(s):  
Kosuke Kojo ◽  
Koji Kawai ◽  
Takashi Kawahara ◽  
Tomokazu Kimura ◽  
Shuya Kandori ◽  
...  

Abstract Objective Japan’s national database of hospital-based cancer registries is estimated to cover ~67% of all new cancer cases. Using this database, we analyzed the characteristics of the recently diagnosed testicular malignancy. Methods We obtained data for 6510 adult testicular malignancy patients diagnosed in 2012–2015. The distributions of patient ages, histological diagnoses and testicular germ cell tumor hospital care volumes were determined. Results The most common histology was seminoma (60.3% of all testicular malignancies), followed by non-seminoma (24.1%) and diffuse large B-cell lymphoma (13.1%). The median and mean ages of the testicular germ cell tumor patients were high at 38 and 39.8 years, respectively. The age distribution peaked at 30–40 years, followed by 40–50 years. Approximately 18% of testicular germ cell tumor patients were ≥50 years. The ages of the diffuse large B-cell lymphoma patients peaked at 70–80 years (mean 67.7 years). When the analysis was limited to the testicular germ cell tumor patients who received first-course cancer treatment at the participating hospitals, the number of high-volume hospitals with ≥20 testicular germ cell tumor care volume was limited to 61 (10.0% of the 605 hospitals that treated ≥1 testicular germ cell tumor patient). However, when the patients who changed hospitals during treatment or relapsed after treatment completion were analyzed together, the number of high-volume hospitals increased to 104 (17.0% of 612 hospitals). Conclusion The testicular germ cell tumor patients’ mean age was nearly 40 years. The proportions of older testicular germ cell tumor patients and diffuse large B-cell lymphoma patients were higher than previously thought. The reasons for this trend are unknown, but it is important to address the trend identified herein in a country with a super-aging population.


2019 ◽  
Vol 25 (3) ◽  
pp. 189-194 ◽  
Author(s):  
Ahmet Veysel Polat ◽  
◽  
Mesut Ozturk ◽  
Ilkay Camlidag ◽  
Behic Akyuz ◽  
...  

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 489-489
Author(s):  
Shingo Hatakeyama ◽  
Takahiro Yoneyama ◽  
Yasuhiro Hashimoto ◽  
Takuya Koie ◽  
Chikara Ohyama

489 Background: Specific tumor marker for seminoma is still lacking. Moreover, 10% to 15% of the patients with non-seminomatous germ cell tumor (NSGCT) can be expected to have normal marker levels. Glycan-based biomarkers for testicular germ cell tumor (TGCT) have not yet been established. We examined whether the serum N-glycan profiling can be applied to detection in patient with TGCT. Methods: We performed a N-glycan structural analysis of sera from 14 patients with GCT and age-matched 28 healthy volunteers using the glycoblotting methods and matrix-assisted laser desorption/ionization-time of flight mass spectrometry. The intensity of the N-glycans was compared between the TGCT patients and the volunteers to select TGCT associate N-glycans. Optimal cut-off values were determined by receiver operating characteristic (ROC) curves. Selected N-glycans were divided according to cut-off values, and positive numbers of TGCT associated N-glycan was added up to risk classification. Results: Six (43%) had seminoma, and eight (57%) patients had NSGCT in this study. The numbers of patients in stage I, II, III were 5, 2, and 4, respectively. Three patients had extragonadal tumor. The numbers of patients in IGCCC good, intermediate and poor risk were 10, 1, and 3, respectively. There were 3 patients (21%) with negative in any tumor markers. We identified 70 kinds of N-glycans in sera from healthy volunteers and GCT patients. A total 6 of N-glycans; m/z 2336.85, 2378.86, 2890.05, 3195.16, 3341.22, 3560.30 were selected as significantly high intensity in the patient with TGCT than in the healthy volunteers, with the area under the curve (AUC) of 0.81, 0.83, 0.86, 0.84, 0.81, and 0.78, respectively. Tumor associated N-glycans were classified as positive or negative, and scored from 0 to 6 points. Optimal cut-off score for detection was determined by ROC curve, and score > 3 were selected (AUC 0.90, P < 0.001). Based on this classification, 2 of 3 patients with negative tumor markers were categorized as a carrier for TCGT. Conclusions: Although the present study is small and preliminary, serum N-glycan analysis is a potential approaches to discover new biomarkers for TGCT. Further validation study is warranted.


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