Projects / Programmes
Patient individualised management of endometrial cancer
Code |
Science |
Field |
Subfield |
3.05.00 |
Medical sciences |
Human reproduction |
|
Code |
Science |
Field |
3.02 |
Medical and Health Sciences |
Clinical medicine |
endometrial cancer, fertility sparing management, quality of life, patient reported outcomes, minimally invasive diagnostic methods, conservative management, biomarkers, ultrasound molecular classification, tumour initiation factors, cell-free DNA, prognostic models
Data for the last 5 years (citations for the last 10 years) on
October 15, 2025;
Data for score A3 calculation refer to period
2020-2024
Data for ARIS tenders (
04.04.2019 – Programme tender,
archive
)
Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
WoS |
1,073
|
35,089
|
32,711
|
30.49
|
Scopus |
1,088
|
40,517
|
37,910
|
34.84
|
Organisations (5)
, Researchers (40)
0334 University Medical Centre Maribor
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
14114 |
PhD Darja Arko |
Oncology |
Researcher |
2022 - 2025 |
334 |
2. |
38285 |
PhD Andrej Cokan |
Human reproduction |
Researcher |
2022 - 2025 |
140 |
3. |
37203 |
Bojana Crnobrnja |
Human reproduction |
Researcher |
2022 - 2025 |
54 |
4. |
37711 |
PhD Andraž Dovnik |
Oncology |
Researcher |
2022 - 2025 |
153 |
5. |
32509 |
Kristina Gornik Kramberger |
Oncology |
Researcher |
2022 - 2025 |
42 |
6. |
33092 |
PhD Jure Knez |
Human reproduction |
Head |
2022 - 2025 |
222 |
7. |
38022 |
Katja Knez |
Public health (occupational safety) |
Technical associate |
2022 - 2025 |
18 |
8. |
11040 |
PhD Borut Kovačič |
Human reproduction |
Researcher |
2022 - 2025 |
408 |
9. |
54498 |
Nadja Lubajnšek |
Oncology |
Technical associate |
2022 - 2025 |
14 |
10. |
52198 |
Lara Lukman |
Human reproduction |
Researcher |
2022 - 2024 |
0 |
11. |
52549 |
Sandra Martič |
Public health (occupational safety) |
Technical associate |
2024 - 2025 |
3 |
12. |
29647 |
PhD Maja Pakiž |
Human reproduction |
Researcher |
2022 - 2025 |
240 |
13. |
50187 |
PhD Monika Sobočan |
Oncology |
Researcher |
2022 - 2025 |
236 |
14. |
1324 |
Iztok Takač |
Human reproduction |
Researcher |
2022 - 2025 |
958 |
0312 University Medical Centre Ljubljana
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
53436 |
Luka Kovač |
Human reproduction |
Researcher |
2022 - 2025 |
34 |
2. |
56158 |
Mateja Lasič |
Human reproduction |
Researcher |
2022 - 2025 |
0 |
3. |
54587 |
Boštjan Pirš |
Human reproduction |
Researcher |
2022 - 2025 |
43 |
4. |
21362 |
PhD Špela Smrkolj |
Human reproduction |
Researcher |
2022 - 2025 |
327 |
0794 University of Maribor, Faculty of Chemistry and Chemical Engineering
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
34484 |
PhD Darija Cör Andrejč |
Chemical engineering |
Researcher |
2022 - 2025 |
98 |
2. |
02619 |
PhD Željko Knez |
Chemical engineering |
Researcher |
2022 - 2025 |
2,081 |
3. |
30021 |
PhD Maša Knez Marevci |
Chemical engineering |
Researcher |
2022 - 2025 |
346 |
4. |
21690 |
PhD Amra Perva |
Chemical engineering |
Researcher |
2024 - 2025 |
94 |
0796 University of Maribor, Faculty of Electrical Engineering and Computer Science
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
29243 |
PhD Domen Mongus |
Computer science and informatics |
Researcher |
2022 - 2025 |
297 |
2. |
52197 |
Dino Vlahek |
Computer science and informatics |
Researcher |
2022 - 2025 |
13 |
2334 University of Maribor, Faculty of Medicine
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
55669 |
Anja Bizjak |
Biochemistry and molecular biology |
Researcher |
2023 - 2025 |
8 |
2. |
29835 |
PhD Tomaž Budefeld |
Microbiology and immunology |
Researcher |
2022 - 2025 |
94 |
3. |
36818 |
PhD Helena Sabina Čelešnik |
Biochemistry and molecular biology |
Researcher |
2022 - 2025 |
66 |
4. |
26010 |
PhD Boris Gole |
Biochemistry and molecular biology |
Researcher |
2022 - 2025 |
86 |
5. |
33268 |
PhD Mario Gorenjak |
Biochemistry and molecular biology |
Researcher |
2022 - 2025 |
185 |
6. |
34478 |
PhD Larisa Goričan |
Microbiology and immunology |
Researcher |
2022 - 2024 |
42 |
7. |
20420 |
PhD Lidija Gradišnik |
Neurobiology |
Researcher |
2022 - 2025 |
306 |
8. |
39240 |
PhD Gregor Jezernik |
Microbiology and immunology |
Researcher |
2022 - 2025 |
51 |
9. |
58268 |
PhD Martina Marič |
Biochemistry and molecular biology |
Researcher |
2023 - 2024 |
7 |
10. |
33260 |
PhD Tina Maver |
Medical sciences |
Researcher |
2022 |
196 |
11. |
30850 |
PhD Uroš Maver |
Medical sciences |
Researcher |
2022 - 2025 |
482 |
12. |
16340 |
PhD Uroš Potočnik |
Microbiology and immunology |
Researcher |
2022 - 2025 |
665 |
13. |
53046 |
PhD Jan Rožanc |
Neurobiology |
Researcher |
2022 - 2025 |
38 |
14. |
52911 |
PhD Kristijan Skok |
Medical sciences |
Researcher |
2022 |
101 |
15. |
1324 |
Iztok Takač |
Human reproduction |
Researcher |
2022 - 2025 |
958 |
16. |
54489 |
PhD Jernej Vajda |
Medical sciences |
Young researcher |
2022 - 2025 |
19 |
Abstract
Gynaecological cancers represent a unique group of cancers associated with the endocrine physiological regulations in the body. Standard management of these cancers often has a significant impact on the hormonal balance in women and can lead to significant debilitating consequences due to early menopause or loss of reproductive function. Endometrial cancer is the most common gynaecological malignancy in the developed world and in women younger than 40 years represent up to 5% of cases and around 20% of women are diagnosed before menopause. Although most endometrial cancers are diagnosed early, up to 20% progress to high‐stage carcinoma. Current diagnostic approaches fail to identify high-risk disease that is apparently early stage at presentation. This indicates the need for improvement in risk assessment and subsequent management of these women.
Current risk assessment is based on clinical or integrated molecular group classifications endorsed by the ESGO/ESTRO/ESP guidelines. These classify endometrial cancer into 4 distinct groups. These groups are POLEmut, MMRd, p53abn and NSMP (no specific mutational profile). The NSMP represents the largest group. Considering the heterogeneity in prognosis, there is a great need for additional specific biomarkers. Improved risk assessment will enable therapy de-escalation and a safer approach to non-standard, fertility sparing therapy (FST). This will ultimately enable individualised counselling and patient focused treatment. Following this path, we should be able to shift the focus from oncological outcomes to improvement of long-term patient reported outcomes (PROs).
In the project, we will address the current unmet needs in women with endometrial cancer by i) identifying new biomarkers (WP1) to improve risk stratification, de-escalating therapy, identifying candidates for non-standard therapy, such as FST or hormone replacement therapy, ii) developing conventional and smart risk stratification algorithms (WP3) to incorporate these biomarkers, iii) developing minimally invasive methods of diagnostics and screening (WP2) that would allow accurate risk stratification, early diagnostics and possible screening in high-risk populations. Finally, following the results of our research, our ultimate goal is to improve PROs (WP4).
We will first recruit patients at both national tertiary centres to obtain the necessary biological samples and precise tumour imaging data. Through sample analysis, we will determine the established molecular classification and analyse for the presence of new biomarkers. In addition to evaluating biomarkers in standard therapy, UMC Maribor will lead research of the molecular classification and biomarkers role in FST. This will provide fresh insight on the impact of tumour biology on reproductive and oncological outcomes of FST.
Furthermore, we will focus on the possibility of obtaining the diagnosis and the biomarker-based risk assessment non-invasively. The project will focus on developing liquid biopsy methods and analysis of cell-free DNA and cell-free RNA in women with endometrial cancer to enhance individualised management.
The main purpose of introducing novel biomarkers to clinical practice is to improve patient tailored management and possibly use less aggressive management in low risk patients. Hence, we have designed “in-vitro” studies of standard and unconventional therapeutic approaches to molecularly characterised endometrial cancer. For this purpose, we will for the first time characterise our own and commercially available endometrial cancer cell lines. The findings of these studies will have major implications for the design of subsequent clinical trials. All the knowledge gained through our project will be integrated to design a better, clinically applicable risk stratification model. The findings will culminate in better possibilities for tailored management and precision medicine, especially in young, low-risk women with endometrial cancer.