Michal Vocka

Dr. Michal Vocka

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
20 November 2023 in Nature Medicine
Verified
Journal Article
Open access
PDF file
KCKai Cao
Kai Cao
YXYingda Xia
Yingda Xia
JYJiawen Yao
Jiawen Yao
XHXu Han
Xu Han
LLLukas Lambert
Lukas Lambert
JLJianping Lu
Jianping Lu
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC using a single test remains unfeasible due to the low prevalence and potential harms of false positives. Non-contrast computed tomography (CT), routinely performed for clinical indications, offers the potential for large-scale screening, however, identification of PDAC using non-contrast CT has long been considered impossible. Here, we develop a deep learning approach, pancreatic cancer detection with artificial intelligence (PANDA), that can detect and classify pancreatic lesions with high accuracy via non-contrast CT. PANDA is trained on a dataset of 3,208 patients from a single center. PANDA achieves an area under the receiver operating characteristic curve (AUC) of 0.986–0.996 for lesion detection in a multicenter validation involving 6,239 patients across 10 centers, outperforms the mean radiologist performance by 34.1% in sensitivity and 6.3% in specificity for PDAC identification, and achieves a sensitivity of 92.9% and specificity of 99.9% for lesion detection in a real-world multi-scenario validation consisting of 20,530 consecutive patients. Notably, PANDA utilized with non-contrast CT shows non-inferiority to radiology reports (using contrast-enhanced CT) in the differentiation of common pancreatic lesion subtypes. PANDA could potentially serve as a new tool for large-scale pancreatic cancer screening.

13 April 2020 in Cancers
Verified
Journal Article
Open access
PDF file
KLKlara Lhotova
Klara Lhotova
LSLenka Stolarova
Lenka Stolarova
PZPetra Zemankova
Petra Zemankova
MVMichal Vocka
Michal Vocka
MJMarketa Janatova
Marketa Janatova
JSJana Soukupova
Jana Soukupova
Ovarian cancer (OC) is the deadliest gynecologic malignancy with a substantial proportion of hereditary cases and a frequent association with breast cancer (BC). Genetic testing facilitates treatment and preventive strategies reducing OC mortality in mutation carriers. However, the prevalence of germline mutations varies among populations and many rarely mutated OC predisposition genes remain to be identified. We aimed to analyze 219 genes in 1333 Czech OC patients and 2278 population-matched controls using next-generation sequencing. We revealed germline mutations in 18 OC/BC predisposition genes in 32.0% of patients and in 2.5% of controls. Mutations in BRCA1/BRCA2, RAD51C/RAD51D, BARD1, and mismatch repair genes conferred high OC risk (OR > 5). Mutations in BRIP1 and NBN were associated with moderate risk (both OR = 3.5). BRCA1/2 mutations dominated in almost all clinicopathological subgroups including sporadic borderline tumors of ovary (BTO). Analysis of remaining 201 genes revealed somatic mosaics in PPM1D and germline mutations in SHPRH and NAT1 associating with a high/moderate OC risk significantly; however, further studies are warranted to delineate their contribution to OC development in other populations. Our findings demonstrate the high proportion of patients with hereditary OC in Slavic population justifying genetic testing in all patients with OC, including BTO.

14 March 2018 in Cancer Biomarkers
Verified
Journal Article
Closed access
PDF file
MVMichal Vocka
Michal Vocka
DLDaniel Langer
Daniel Langer
VFVladimir Fryba
Vladimir Fryba
JPJaromir Petrtyl
Jaromir Petrtyl
THTomas Hanus
Tomas Hanus
LPLubos Petruzelka
Lubos Petruzelka
BACKGROUND: GDF-15 is a protein belonging to the transforming growth factor beta superfamily that has a role in regulating inflammatory and apoptotic pathways. High level GDF-15 in tumor tissues and plasma correlate with an increased risk of recurren

4 September 2019 in The International Journal of Biological Markers
Verified
Journal Article
Open access
PDF file
MVMichal Vocka
Michal Vocka
DLDaniel Langer
Daniel Langer
VFVladimir Fryba
Vladimir Fryba
JPJaromir Petrtyl
Jaromir Petrtyl
THTomas Hanus
Tomas Hanus
LPLubos Petruzelka
Lubos Petruzelka
Objective: Tissue inhibitor of metalloproteinases 1 (TIMP-1) and matrix metalloproteinase 7 (MMP-7) were reported to have potent growth promoting activity. Lack of balance between MMPs and TIMPs is an important factor in the development of gastrointestinal malignancies. Methods: We collected serum samples from 97 patients with metastatic colorectal cancer and 79 samples from healthy controls. Serum levels of TIMP-1 and MMP-7 were measured immunochemically and compared with standard tumor markers carcinoembryonic antigen and CA19-9. Results: Serum levels of TIMP-1 and MMP-7 were significantly higher in patients with colorectal cancer compared to healthy controls (both, P < 0.001). TIMP-1 and MMP-7 correlate with the presence of colon involvement (P = 0.001; P = 0.012) and the presence of liver metastases (P = 0.002; P = 0.037), and negatively correlate with pulmonary metastases (P = 0.014; P = 0.005). MMP-7 had similar sensitivity and the same specificity as carcinoembryonic antigen. TIMP-1 and MMP-7 had better sensitivity than CA19-9. TIMP-1 and MMP-7 level correlate with worse outcome (P = 0.002). Conclusion: The results indicate that TIMP-1 and MMP-7 are effective biomarkers in patients with metastatic colorectal cancer with good sensitivity. TIMP-1 and MMP-7 levels strongly correlate with the extent of liver disease and have prognostic value.

28 May 2019 in Cancers
Verified
Journal Article
Open access
PDF file
MVMichal Vocka
Michal Vocka
MZMartina Zimovjanova
Martina Zimovjanova
ZBZuzana Bielčiková
Zuzana Bielčiková
PTPetra Tesarova
Petra Tesarova
LPLubos Petruzelka
Lubos Petruzelka
ZKZdenek Kleibl
Zdenek Kleibl
Breast cancer (BC) prognosis in BRCA1 and BRCA2 mutation carriers has been reported contradictorily, and the significance of variables influencing prognosis in sporadic BC is not established in BC patients with hereditary BRCA1/BRCA2 mutations. In this retrospective cohort study, we analyzed the effect of clinicopathological characteristics on BC prognosis (disease-free survival [DFS] and disease-specific survival [DSS]) in hereditary BRCA1/BRCA2 mutation carriers. We enrolled 234 BRCA1/BRCA2 mutation carriers and 899 non-carriers, of whom 191 carriers and 680 non-carriers, with complete data, were available for survival analyses. We found that patients with ER-positive tumors developed disease recurrence 2.3-times more likely when they carried a BRCA1/BRCA2 mutation (23/60; 38.3% ER-positive carriers vs. 74/445; 16.6% ER-positive non-carriers; p < 0.001). ER-positive mutation carriers also had a 3.4-times higher risk of death due to BC compared with ER-positive non-carriers (13/60; 21.7% vs. 28/445; 6.3%; p < 0.001). Moreover, prognosis in ER-negative BRCA1/BRCA2 mutation carriers was comparable with that in ER-positive non-carriers. Our study demonstrates that ER-positivity worsens BC prognosis in BRCA1/BRCA2 mutation carriers, while prognosis for carriers with ER-negative tumors (including early-onset) is significantly better and comparable with that in ER-positive, older BC non-carriers. These observations indicate that BRCA1/BRCA2 mutation carriers with ER-positive BC represent high-risk patients.

8 January 2023 in Cancers
Verified
Journal Article
Open access
PDF file
BMBernhard Mlecnik
Bernhard Mlecnik
ALAlessandro Lugli
Alessandro Lugli
GBGabriela Bindea
Gabriela Bindea
FMFlorence Marliot
Florence Marliot
CBCarlo Bifulco
Carlo Bifulco
JGJerome Galon
Jerome Galon
Background: The prognostic value of Immunoscore was evaluated in Stage II/III colon cancer (CC) patients, but it remains unclear in Stage I/II, and in early-stage subgroups at risk. An international Society for Immunotherapy of Cancer (SITC) study evaluated the pre-defined consensus Immunoscore in tumors from 1885 AJCC/UICC-TNM Stage I/II CC patients from Canada/USA (Cohort 1) and Europe/Asia (Cohort 2). METHODS: Digital-pathology is used to quantify the densities of CD3+ and CD8+ T-lymphocyte in the center of tumor (CT) and the invasive margin (IM). The time to recurrence (TTR) was the primary endpoint. Secondary endpoints were disease-free survival (DFS), overall survival (OS), prognosis in Stage I, Stage II, Stage II-high-risk, and microsatellite-stable (MSS) patients. RESULTS: High-Immunoscore presented with the lowest risk of recurrence in both cohorts. In Stage I/II, recurrence-free rates at 5 years were 78.4% (95%-CI, 74.4–82.6), 88.1% (95%-CI, 85.7–90.4), 93.4% (95%-CI, 91.1–95.8) in low, intermediate and high Immunoscore, respectively (HR (Hi vs. Lo) = 0.27 (95%-CI, 0.18–0.41); p < 0.0001). In Cox multivariable analysis, the association of Immunoscore to outcome was independent (TTR: HR (Hi vs. Lo) = 0.29, (95%-CI, 0.17–0.50); p < 0.0001) of the patient’s gender, T-stage, sidedness, and microsatellite instability-status (MSI). A significant association of Immunoscore with survival was found for Stage II, high-risk Stage II, T4N0 and MSS patients. The Immunoscore also showed significant association with TTR in Stage-I (HR (Hi vs. Lo) = 0.07 (95%-CI, 0.01–0.61); P = 0.016). The Immunoscore had the strongest (69.5%) contribution χ2 for influencing survival. Patients with a high Immunoscore had prolonged TTR in T4N0 tumors even for patients not receiving chemotherapy, and the Immunoscore remained the only significant parameter in multivariable analysis. CONCLUSION: In early CC, low Immunoscore reliably identifies patients at risk of relapse for whom a more intensive surveillance program or adjuvant treatment should be considered.