TBTomas Brtnicky

Tomas Brtnicky

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Previous Organizations / Institutes

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Tomas Brtnicky has a total of 117 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Disability in the context of prehabilitation in oncogynecological patients: a pilot study

    by Petra Sládková, Marie Tichá, KateřIna Kotrbová, Michaela Švábenická, Darina Ševčíková, Michal Zikán, Markéta Polková, Martin Zubek, Markéta Janatová, Tomáš Brtnický, et al.

    Kontakt is a platform for publishing contributions on the complexity of interactions between clinical and social actions in the context of health improvement.

  • Open Access

    Prehabilitation beyond the trimodal standard: occupational therapy in a quadrimodal cancer care model

    by Tomáš Brtnický, Markéta Polková, Marie Tichá, Peter Koliba, Oľga Dubová, Michal Zikán, Alena Jarolímková, Petr Hubka, Pavel Kabele, Jana Matějíčková, et al.

    Introduction: Prehabilitation is an increasingly recognised strategy designed to optimise patients’ physical, nutritional, and psychological status before major surgery. While the benefits of trimodal prehabilitation have been documented, we developed and implemented a quadrimodal model that incorporates occupational therapy as a fourth component. This comprehensive intervention targets frail patients with advanced oncogynecologic disease, a population at high risk for postoperative complications. Material and methods: The study recruited 40 patients, 32 of whom successfully completed an intensive 3-week prehabilitation programme. The programme comprised four modules: physiotherapy, nutritional support, psychological support, and occupational therapy. Patients completed 4 days of inpatient care and 3 days of home care per week. The effectiveness of the programme was assessed using a range of methods, including physical tests (6-min walk test, 5 × sit-to-stand test), psychological status questionnaires (perceived stress scale) and nutritional assessment using established questionnaires (MUST and PONS). Results: The results demonstrated statistically significant enhancements in physical fitness assessments, a decline in the frailty index, and an augmentation in psychological well-being. Notably, three patients no longer fulfilled the frailty criteria at the conclusion of the programme. Spirometric parameters, including FVC, FEV1, and PEF, exhibited substantial improvement. The nutritional intervention resulted in a reduction in the number of patients at high risk of malnutrition. Additionally, there was a notable improvement in the nutritional parameters. Conclusion: This quadrimodal prehabilitation model, integrating occupational therapy, demonstrated effectiveness in preparing frail oncologic patients for radical surgery. The approach not only improved physical and psychological readiness but also allowed for patient stratification into responders and non-responders. Its implementation in clinical practice could enhance patient outcomes and reduce the burden of postoperative recovery.

  • Open Access

    Figure 6 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    The clinical relevance of combined chemotherapy and immunotherapy in mouse models of TMBLo and TMBHi ovarian cancer. A and B, Bar plots showing single-nucleotide variants positions (SNVs) (A) and the somatic mutations prevalence (mutations per megabase) (B) in ID8 (n = 3) and Brca1−/−Trp53−/−/Myc/Hras SO1 (n = 3) C57BL/6 syngeneic mouse ovarian cancer cell lines. Mean and SEM are shown. Statistical significance was calculated by multiple t test. P values are indicated. C, Experimental design for the analysis of TLS aggregates development and efficacy of combined chemotherapy and aPD1 and/or aTIM-3 therapy in TMBLo ID8 and TMBHi SO1 experimental syngeneic mouse models. D and E, Representative immunostaining for CD4, CD8, CD20, and CD21 (D) and a box plot showing density of TLS aggregates within chemo-naïve (n = 5) and treated TMBHi SO1 (n = 9) ovarian tumors (E). Scale bars, 100 µm and 2.5 mm. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. F–H, Representative dot plot (F) and flow cytometry analyses for percentages of CD62L+CD44+ central memory (CM) and CD62L−CD44− terminally differentiated CD8+ T cells (TEMRA) (G) and TCF1+PD1+CD8+ and TIM-3+PD1+CD8+ T cells (H) in tumor samples of the TMBHi SO1 experimental model in the presence or absence of carboplatin and taxane chemotherapy (NACT). Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. I and J, Overall survival (OS) of TMBHi SO1 experimental model (I) and flow cytometry analyses for percentage of TCF1+PD1+CD8+ T cells after NACT, aPD1, aTIM-3 and combined therapy (J). Survival curves were estimated by the Kaplan–Meier method, and differences between groups were evaluated using log-rank test. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. K and L, Representative immunostaining for CD4, CD8, CD20, and CD21 (K) and a box plot showing density of TLS aggregates within chemo-naïve (n = 8) and treated TMBLo ID8 (n = 8) (L) ovarian tumors. Scale bars, 100 µm and 2.5 mm. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. M, Flow cytometry analyses for TCF1+PD1+CD8+ and TIM-3+PD1+CD8+ T cells in tumor samples of the TMBLo ID8 experimental model in the presence or absence of carboplatin and taxane chemotherapy (NACT). Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. N, Overall survival (OS) of TMBLo ID8 experimental model after NACT, anti-PD1, and combined therapy. Survival curves were estimated by the Kaplan–Meier method, and differences between groups were evaluated using log-rank test. P values are indicated. (Panel C created with BioRender.com.)

  • Open Access

    Figure 5 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    NACT-mediated progenitor TCF1+PD1+CD8+ T-cell phenotype associates with effector cytotoxic functions within metastatic HGSOC. A–C, Representative dot plot (A) and box plot (B) showing percentage of TIM-3+PD1+CD8+ T cells and GZMB+CD8+ T cells within native pTME and mTME of chemo-naïve and treated HGSOC as determined by flow cytometry. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by the Mann–Whitney test. P values are indicated. C, Marker heatmap dot plots obtained after t-SNE and showing the relative expression of the indicated marker in the different phenotypic clusters within mTME of chemo-naïve and treated HGSOS as determined by flow cytometry. D, Design of experimental and sequencing workflow in 11 patients with HGSOC before and after NACT. scRNAseq was performed on dissociated solid tumor specimens using 10× Genomics Chromium platform. E and F, Uniform manifold approximation and projection (UMAP) plot of all cells (n = 51,476) passing the quality control, colored by type of therapy (E) and cell type (F). G and H, TILs projections (G) and predicted subtype frequencies (H) in biopsies from patients with chemo-naïve and treated HGSOC. CM, central memory; EM, effector memory; MAIT, mucosal-associated invariant T cells; PTEX, progenitor exhausted T cells; TEMRA, terminally exhausted T cells; TEX, exhausted T cells. I and J, Radar plot showing percentage of CD8+ T cells expressing respective T-cell marker (KLRB1, TCF7, CCR7, IL7R, LMNA, FGFBP2, XCL1, CD200, CRTAM, TOX, PDCD1, HAVCR2, and GNLY; I) and UMAP showing expression of PDCD1, HAVCR2 and TCF7 in CD4+ and CD8+ T-cell clusters in chemo-naïve and treated HGSOC samples (study cohort 5; J), as determined by scRNA-seq. (Panel D created with BioRender.com.)

  • Open Access

    Figure 2 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    NACT-mediated adjuvanticity positively impacts clinically relevant TLS maturation in metastatic HGSOC. A, Representative image of immunofluorescence of CD4, CD8, CD20, CD21, CD23, DC-LAMP, and GZMB staining (immunofluorescence panel 1). Scale bars, 10, 100 and 500 µm. B and C, Distribution of early TLS (eTLS; B) and mature TLS (mTLS; C) across pTME and mTME HGSOC tumor samples with/without NACT. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. D, Supervised hierarchical clustering of TLS-relevant gene signature (CCL2, CCL3, CCL4, CCL5, CCL8, CCL18, CCL19, CCL21, CXCL9, CXCL10, CXCL11, and CXCL13) across pTME and mTME HGSOC tumor samples with/without NACT. E and F, Overall survival (OS) of 60 (E) and 40 chemo-naïve and treated patients with mHGSOC (F), respectively (study cohort 1 and 2) based on median stratification of total mTLS. Survival curves were estimated by the Kaplan–Meier method, and differences between groups were evaluated using log-rank test. Number of patients at risk and P values are reported. G, Number of mTLS across patients with CALRLo and CALRHi mHGSOC with/without NACT as determined by median stratification. Mean and SEM are shown. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. H and I, OS of 60 and 40 patients with chemo-naïve and treated mHGSOC (study cohorts 1 and 2), upon stratification based on median frequency of mTLS and expression of CALR. Survival curves were estimated by the Kaplan–Meier method, and differences between groups were evaluated using the log-rank test.

  • Open Access

    Figure 1 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    Immunomodulation by NACT in metastatic HGSOC. A, Representative images of CALR immunostaining in CALRLo and CALRHi patients. Scale bars, 10 and 100 µm. B, CALR expression levels determined by immunostaining and (C) ER stress signature level [expression level of DNA damage inducible transcript 3 (DDIT3, best known as CHOP), heat shock protein family A (Hsp70) member 5 (HSPA5, best known as BIP), and heat shock protein 90 beta family member 1 (HSP90B1)] as determined by RNA-seq in pTME and mTME HGSOC with/without NACT. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. D, Supervised hierarchical clustering of gene signatures related to immune populations (orange), immune functions (blue) and immune phenotype (purple) as determined by RNA-seq data from pTME and mTME HGSOC tumor samples with/without NACT. IS, immunosuppression; mDCs, myeloid dendritic cells; NK cells, natural killer cells; TLS, tertiary lymphoid structures. E, Gene expression signature associated with CD8+ T cells, B cells, cytotoxicity, mDCs, TLS, and immunosuppression as determined on RNA-seq data from pTME and mTME HGSOC with/without NACT. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. F, Representative image of CD20/DC-LAMP double immunostaining. Scale bars, 500 and 100 µm. G, Density of CD8+ T cells, CD20+ B cells, and DC-LAMP+ cells as determined by immunostaining in pTME and mTME HGSOC samples with/without NACT. Mean and SEM are shown. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. ns, not significant.

  • Open Access

    Figure 4 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    NACT positively increases the ICI-sensitive TCF1+PD1+CD8+ T-cell phenotype within metastatic HGSOC. A, Representative image of immunofluorescence of CD68, CD8, PD-L1, FoxP3, TCF1, CD57, PanCK, PD1, CD4, CD20, GZMB, and TIM-3 staining (immunofluorescence panel 2). Scale bars, 2 μm, 10 µm, and 100 µm. B, Violin plot showing the density of CD8+ and PD1+CD8+ within tumor core and tumor stroma of pTME and mTME of chemo-naïve and treated HGSOC. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. C and D, Representative image (C) and box plot showing the density of TCF1+PD1+CD8+ T cells and TIM-3+PD1+CD8+ and spatial distribution of TCF1+PD1+CD8+ T cells within tumor core and stroma in pTME and mTME of chemo-naïve and treated HGSOC (D). Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. E, Supervised hierarchical clustering of gene signatures associated with different stages of T-cell differentiation: T-cell stemness (orange), T-cell effector function (blue), T-cell proliferation (green), T-cell phenotype (red) as determined by RNAseq in mTME of chemo-naïve and treated HGSOC. For further details, see Supplementary Fig. S9. F and G, Representative image of digital pathology spatial distribution and violin plot showing the number of cell contacts between PanCK+ malignant cells and TCF1+PD1+CD8+ T cells and TIM-3+PD1+CD8+ within 0 to 30 µm in pTME and mTME of chemo-naïve and treated HGSOC.

  • Open Access

    Table 1 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    Univariate Cox proportional hazard analyses.

  • Open Access

    Figure 3 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    NACT-mediated adjuvanticity positively impacts the density of follicular T cells (TFH) and in situ activation of intratumoral B cells in mHGSOC. A–C, Representative image (A) and box plots showing the density of CD4+ cells (B) and CXCR5+PD1+FoxP3−CD4+ TFH cells (C) in the pTME and mTME of chemo-naïve and treated HGSOC (study cohort 1 and 2). Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by the Mann–Whitney test. P values are indicated. D and E, Dot plot (D) and box plot (E) showing expression profile of gene signatures of B-cell subtypes, e.g., plasma cells (PC), germinal center (GC), and memory B cells within pTME and mTME HGSOC tumor samples with/without NACT. Box plots: lower quartile, median, upper quartile; whiskers, minimum, maximum. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated. F and G, Representative image (F) and density of CD68+CD163+ TAMs in pTME and mTME of chemo naïve and treated HGSOC (G). Mean and SEM are shown. Statistical significance was calculated by two-sided Mann–Whitney test. P values are indicated.

  • Open Access

    Supplementary Data1 from Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer

    by Tereza Lanickova, Michal Hensler, Lenka Kasikova, Sarka Vosahlikova, Artemis Angelidou, Josef Pasulka, Hannah Griebler, Jana Drozenova, Katerina Mojzisova, Ann Vankerckhoven, et al.

    Supplemental material, figures and tables