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Resistance to Platinum-Based Chemotherapy in Muscle-Invasive Bladder Cancer: Genetic and Immune Determinants and Implications for Treatment Sequencing — A Case Series

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30 June 2026

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01 July 2026

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Abstract
Background/Objectives: Cisplatin-based neoadjuvant chemotherapy (NAC) followed by radical cystectomy has been the standard of care for muscle-invasive bladder cancer (MIBC) for two decades, yet a substantial proportion of patients derive no benefit. With antibody–drug conjugates and immune checkpoint inhibitors now reshaping the treatment landscape, characterising the determinants of platinum resistance and the consequences for treatment sequencing has become clinically pressing. We aimed to describe, in a single-centre cohort with long follow-up, the patient trajectories, survival, immune microenvironment, tumour mutational burden (TMB) and genetic alterations associated with response to NAC. Methods: We retrospectively identified 54 consecutive patients with MIBC treated with neoadjuvant dose-dense MVAC (dd-MVAC) between November 2013 and November 2019. Pathologic response, recurrence, survival and subsequent therapy lines were recorded. Immunohistochemistry for CD3, CD8, FOXP3, PD-1, PD-L1, PD-L2 and NY-ESO-1, and paired genetic profiling (whole-exome sequencing and TSO-500) were performed on transurethral resection (TURBT) and cystectomy specimens. Marker changes after NAC were tested with Wilcoxon signed-rank tests; associations with pathologic complete response (pCR) with Fisher exact and Mann–Whitney tests; survival differences with the log-rank test. Results: pCR was achieved in 11/42 operated patients; 12 patients did not undergo cystectomy. Median follow-up was 87 months (IQR 24–104). Hydronephrosis (p = 0.016) was associated with absence of pCR. Overall and recurrence-free survival differed significantly by pathologic response (log-rank p = 0.040 and p = 0.026). NAC significantly reduced intratumoral FOXP3 (p < 0.001), NY-ESO-1 (p = 0.004), PD-L2 (p = 0.007) and CD3 (p = 0.029), whereas TMB was unchanged (TSO-500 p = 0.67; WES p = 0.86). No baseline immune marker, including PD-L1, predicted pCR. The mutational landscape was largely concordant before and after NAC. Conclusions: NAC remodels the bladder cancer immune microenvironment without altering the tumour genome or TMB. Baseline immune and genomic markers did not identify platinum-refractory patients, underscoring the need for better predictive biomarkers to guide patient selection and treatment sequencing in the antibody–drug conjugate era.
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1. Introduction

Bladder and urinary tract urothelial cancer (UC) is a major health burden. In 2022 an estimated 614,000 new cases and 221,000 deaths were recorded worldwide, with approximately three-quarters of cases occurring in men and the highest incidence rates reported in Europe, with an age-standardised incidence of roughly 20–29 per 100,000 [1].
The systemic treatment landscape has evolved drastically with the introduction of immune checkpoint inhibitors (ICI) and antibody–drug conjugates (ADC) into international guidelines [2,3]. Although of considerable historical value, the place of platinum-based chemotherapy (PBC) has become uncertain, and the risk–benefit ratio of cisplatin or carboplatin is increasingly deemed unfavourable by both physicians and patients. In muscle-invasive bladder cancer (MIBC), neoadjuvant PBC was long the mainstay of treatment because of a clear overall survival (OS) benefit and a meaningful rate of pathologic complete response (pCR) [4,5,6].
This paradigm is now being directly challenged. The phase 3 KEYNOTE-B15/EV-304 trial, combining the ICI pembrolizumab with the ADC enfortumab vedotin (EV), outperformed PBC in cisplatin-eligible patients in event-free survival, OS and overall response. Compared with cisplatin–gemcitabine, the pCR rate was significantly higher for EV–pembrolizumab (55.8% vs. 32.5%; one-sided p < 0.0001) [7]. However, because the control arm received neither perioperative ICI (durvalumab, NIAGARA trial [8]), adjuvant ICI (nivolumab in CheckMate 274 [9]; pembrolizumab in AMBASSADOR [10]; atezolizumab in IMvigor011 [11]), nor a more effective PBC regimen such as dose-dense MVAC (dd-MVAC, VESPER trial [6]), the magnitude of this benefit may be overestimated. Ongoing randomised trials will more clearly define the residual value of PBC in the peri-operative setting.
In locally advanced and metastatic UC (la/mUC), PBC remains relevant from the second line onward, particularly in patients without FGFR alterations. The EV-302 trial demonstrated a clear first-line benefit of EV–pembrolizumab over PBC (median OS 31.5 vs. 16.1 months) [12]. In HER2-expressing la/mUC, disitamab vedotin combined with toripalimab has likewise outperformed PBC in the first line (median OS 31.5 vs. 16.9 months) [13], and trastuzumab deruxtecan has shown activity in HER2-expressing tumours [14]. Nevertheless, most patients ultimately progress on these therapies and are treated with PBC in second or later lines: in the EV-302 trial, 85.9% of patients in the EV–pembrolizumab arm who received any subsequent systemic therapy received PBC, and in the RC48-C016 trial [13] 74.2% of patients in the disitamab vedotin group did so.
In this research article we present an analysis of patients receiving dd-MVAC for MIBC with long follow-up. This includes the identification and characterisation of PBC-refractory patients, the underlying genetic alterations, the effect of dd-MVAC on these alterations and on other immune characteristics, subsequent lines of therapy and clinical outcomes. The aim is to better identify patients likely to benefit from PBC across the UC treatment trajectory and to inform the choice of therapy sequence.

2. Materials and Methods

2.1. Patient Selection and Data Extraction

After review and authorisation by the local ethics committee (Ghent University Hospital, reference 20171080), we identified 54 consecutive patients with MIBC who had received dd-MVAC in the neoadjuvant setting at Ghent University Hospital between November 2013 and November 2019. Patient characteristics and follow-up data were extracted from the electronic patient file and anonymised before analysis. Eligibility for cisplatin-based chemotherapy was assessed according to the Galsky criteria [15]. Pathologic complete response (pCR) was defined as the absence of residual invasive tumour and nodal involvement at radical cystectomy (ypT0 ypN0).

2.2. PD-L1 Determination

Pathology specimens from the diagnostic TURBT and from the radical cystectomy were stained for PD-L1 using two monoclonal antibodies: clone 22C3 (PD-L1 IHC 22C3 pharmDx, Dako/Agilent) and clone SP142 (VENTANA PD-L1 [SP142] Assay, Roche Diagnostics). Staining was performed on 4-µm formalin-fixed, paraffin-embedded sections according to the manufacturer’s protocol on the VENTANA BenchMark ULTRA platform; cross-platform use of Dako antibodies on the BenchMark ULTRA has been validated and shows interchangeable performance with the corresponding Dako Autostainer Link 48 [16]. For both assays, PD-L1 positivity was defined as ≥1% of viable tumour cells showing membranous staining of any intensity (tumour-cell [TC] score ≥1%). A uniform tumour-cell-based threshold was applied to both antibodies to allow direct head-to-head comparison; the conventional companion-diagnostic cut-offs (combined positive score ≥10 for 22C3 and immune-cell score ≥5% for SP142) were recorded as secondary categories. A combined variable (PD-L1 positive if either antibody and/or timepoint was positive) was used for the primary analysis. We note that the SP142 clone is known to show a distinctly different staining pattern from the 22C3, 28-8 and SP263 clones [17].

2.3. Immunohistochemistry and Antibody Staining

Sequential 4-µm sections from the same paraffin blocks were stained for CD3, CD8, FOXP3, PD-1, PD-L2 and NY-ESO-1 on the VENTANA BenchMark ULTRA platform. Immune infiltration was scored semi-quantitatively and independently by a dedicated uropathologist (S.V.) and the first author (D.D.M.), both blinded to clinical outcome; discordant scores were re-assessed jointly until consensus was reached. Antibody clones, sources, dilutions and detection conditions are summarised in Supplementary Table S1.

2.4. Genetic Analysis

Paired genetic analysis was possible for 13 MIBC patients with adequate material; 12 paired cases were evaluable for the alteration-level comparison. Of the remaining 41 patients, 12 did not undergo cystectomy (reasons: progressive disease on NAC, n = 4; transurethral resection alone, n = 4; primary radiochemotherapy, n = 2; primary radiotherapy, n = 1; upper-tract urothelial carcinoma, n = 1), 11 achieved a pCR, and 18 did not have adequate TURBT DNA material.
Paired genetic characteristics were analysed by DNA sequencing of TURBT and cystectomy specimens using both whole-exome sequencing (WES) and comprehensive genomic profiling (CGP) using the TruSight Oncology 500 (TSO500) panel. DNA extraction from FFPE biopsy material was performed using the QIAamp DNA FFPE Tissue Kit (QIAgen).
Target enrichment for WES was performed on 12 patients with paired samples by the KAPA HyperCap protocol using KAPA HyperExome Probes (Roche), followed by sequencing on NovaSeq 6000 using S4 Reagent Kit v1.5 (300 cycles) (Illumina). WES data were processed using an in-house bcbio pipeline including data mapping to the reference genome by BWA, variant calling using vardict and mutect2, and variant annotation & filtering with Ensembl Variant Effect Predictor (VEP) and BCFtools. Single-nucleotide variants and small insertions/deletions were determined in 64 bladder cancer specific gene panel - ACTB, ARID1A, ASXL1, ASXL2, ATM, BTG2, C3orf70, CASP8, CCND3, CDKN1A, CDKN2A, CREBBP, CUL1, ELF3, EP300, ERBB2, ERBB3, ERCC2, FAT1, FBXW7, FGFR3, FOXA1, FOXQ1, GNA13, HES1, HIST1H3B, HRAS, KANSL1, KDM6A, KLF5, KMT2A, KMT2C, KMT2D, KRAS, MB21D2, MBD1, METTL3, NFE2L2, NRAS, NUP93, PAIP1, PARD3, PIK3CA, PSIP1, PTEN, RB1, RBM10, RHOA, RHOB, RXRA, SF1, SF3B1, SPN, SPTAN1, SSH3, STAG2, TAF11, TMCO4, TSC1, TXNIP, USP28, ZBTB7B, ZFP36L1. Tumor mutational burden (TMB) was determined in the WES data using the following filtering of somatic variants (variant allele frequency [VAF] ≥ 5%, coverage ≥ 50x, EPR = pass (BCBio tumor-only somatic variant filter), BIOTYPE = protein_coding, not Existing_variation & BCFTools stats number of SNPs (count nt variant SNPs only)).
The TSO500 high-throughput (HT) library prep (Illumina) was performed on 7 of the 12 patients on paired samples according to manufacturer’s instructions and sequenced on NovaSeq 6000 using SP Reagent Kit v1.5 (200 cycles) (Illumina). TSO500 NGS data were analysed using the TSO500 Local App v2.1 (Illumina). Single-nucleotide variants, small insertions/deletions, focal amplifications, tumor mutational burden (TMB) and microsatellite-instability (MSI) status were determined in the TSO500 data sets. Variants of uncertain significance (VUS) were recorded separately from pathogenic/likely-pathogenic variants.

2.5. Statistical Analysis

All statistical analyses were performed in Stata (StataNow/BE 18.5 for Mac, Apple Silicon; revision 26 February 2025; StataCorp LLC, College Station, TX, USA). Baseline characteristics were compared between patients with and without pCR using Fisher exact tests for categorical variables and Mann–Whitney U tests for continuous and ordinal variables. Paired changes in immune markers and TMB between TURBT and cystectomy were tested with Wilcoxon signed-rank tests. Follow-up was calculated from the start of NAC to the last follow-up date. Overall survival (OS) and recurrence-free survival (RFS) were estimated by the Kaplan–Meier method and compared with the log-rank test across pathologic-response groups. A two-sided α of 0.05 was applied. Given the exploratory nature of the immune-marker panel, p-values are reported without correction for multiple comparisons and should be interpreted as hypothesis-generating.

3. Results

3.1. Patient Characteristics

Fifty-four patients were included. The cohort was predominantly male (43/54, 80%) with a median age at diagnosis of 67 years (IQR 56–71), and 44/54 (81%) completed the intended four cycles of dd-MVAC. Baseline characteristics according to pathologic response are shown in Table 1. Among the 42 operated patients, 11 (26%) achieved a pCR and 31 had residual disease. Hydronephrosis at diagnosis was strongly associated with the absence of pCR (1/11, 9% in the pCR group vs. 16/31, 52% in the no-pCR group; p = 0.016), and adjuvant radiotherapy was administered exclusively to patients without a pCR (0% vs. 42%; p = 0.009); two further patients in the no-surgery group received radiotherapy as their primary local treatment rather than as adjuvant therapy. Age, sex, smoking status, completion of four chemotherapy cycles and variant histology did not differ significantly between response groups.

3.2. Patient Trajectories and Survival

Individual patient trajectories are shown in the swimmer’s plot (Figure 1). Median follow-up from the start of NAC was 87 months (IQR 24–104) for the whole cohort and 94 months among survivors. Twenty-two patients (41%) experienced disease recurrence or progression and 17 (31%) died. Outcomes diverged sharply by pathologic response: no recurrences and a single death occurred among the 11 patients with a pCR (median follow-up 102 months), compared with 15 recurrences and 10 deaths among the 31 patients with residual disease (median follow-up 84 months). The 12 patients who did not undergo cystectomy had the poorest outcomes (7 recurrences, 6 deaths; median follow-up 45 months). Twenty patients received a second line of therapy, six a third line and three a fourth line, most commonly checkpoint inhibitors followed by platinum-based or taxane chemotherapy. Of the 12 patients who did not undergo cystectomy, three received primary radiotherapy (n = 1) or primary chemo-radiotherapy (n = 2) as their definitive local treatment.
Overall survival and recurrence-free survival differed significantly across pathologic-response groups (Figure 2; log-rank p = 0.040 and p = 0.026, respectively). Patients with a pCR had essentially no events, those with residual disease followed an intermediate trajectory, and the non-operated patients had the steepest early drop in both endpoints.

3.3. Immune-Related Characteristics and Effect of Neoadjuvant Chemotherapy

Baseline (TURBT) immune characteristics were not associated with pathologic response. Median CD3, CD8, FOXP3, PD-L2 and NY-ESO-1 scores were comparable between patients who did and did not achieve a pCR (all p > 0.05, Mann–Whitney U). PD-L1 positivity, assessed with the combined variable, was also not associated with pCR (PD-L1 positive in 3/7 evaluable pCR patients vs. 11/22 no-pCR patients; p = 1.000).
In contrast, neoadjuvant dd-MVAC significantly remodelled the tumour immune microenvironment. In paired TURBT–cystectomy comparisons, intratumoral FOXP3 (16/22 paired cases decreased; p < 0.001), NY-ESO-1 (10/21 decreased, none increased; p = 0.004), PD-L2 (10/22 decreased; p = 0.007) and CD3 (10/22 decreased; p = 0.029) all fell significantly after chemotherapy. CD3 score showed a borderline decrease (p = 0.053), whereas CD8, CD8 score and PD-1 did not change significantly. PD-L1 status was relatively stable: of 22 paired cases, 4 remained positive and 4 lost positivity, while 2 of 14 baseline-negative tumours gained PD-L1 expression after NAC.

3.4. Effect of Neoadjuvant Chemotherapy on Tumour Mutational Burden

TMB was assessed in paired samples by both CGP using TSO-500 and WES. TMB did not change significantly after neoadjuvant chemotherapy by either assay (TSO-500: median 7.1 pre-NAC vs. 6.5 post-NAC, n = 7 pairs, Wilcoxon p = 0.67; WES: median 23 vs. 25, n = 10 pairs, p = 0.86; Figure 3 and Figure 4). Baseline TMB values from the two assays were positively correlated (Pearson r = 0.79). Changes in TMB after NAC were heterogeneous and bidirectional, with no consistent direction of effect at the cohort level.

3.5. Effect of Neoadjuvant Chemotherapy on Genetic Alterations

Paired pre- and post-NAC mutational profiles were evaluable for 12 cases (Table 2). TP53 was the most frequently altered gene, present in the majority of cases, followed by alterations in chromatin-remodelling genes (KDM6A, KMT2C, KMT2D) and in PIK3CA. An activating FGFR3 alteration was identified in one case, and an ERCC2 mutation — associated with cisplatin sensitivity — in another. Focal amplifications (MYC, CCNE1, EGFR, MET, CCND1) were detected by TSO-500 in three cases, with copy numbers amplification generally decreasing in the post-NAC sample. Overall, the mutational landscape was largely concordant between TURBT and cystectomy specimens: the dominant clonal driver mutations were retained after chemotherapy, and most discordances involved gain or loss of VAF or uncertain-significance variants rather than truncal drivers, consistent with the TCGA molecular characterisation of MIBC [18].

4. Discussion

In this single-centre cohort of 54 MIBC patients treated with neoadjuvant dd-MVAC and followed for a median of more than seven years, three observations stand out. First, neoadjuvant platinum-based chemotherapy substantially remodels the bladder-cancer immune microenvironment, significantly reducing intratumoral FOXP3⁺, NY-ESO-1⁺, PD-L2⁺ and CD3⁺ populations. Second, neither the tumour mutational burden nor the core mutational landscape changed meaningfully after chemotherapy, indicating that the genomic backbone of the tumour is preserved through treatment. Third — and most relevant for clinical practice — no baseline immune or genomic marker, including PD-L1, reliably distinguished platinum-refractory from platinum-sensitive patients.
Cisplatin remains the most active single cytostatic agent in urothelial cancer despite a primary response rate of only about 10–15% in cisplatin-naïve metastatic disease [19]. Its principal mechanism is the formation of platinum–DNA adducts that block transcription and induce apoptosis; resistance arises chiefly from increased DNA-damage repair (notably nucleotide-excision repair components such as ERCC2 [20]), increased glutathione conjugation, and reduced drug uptake [21,22]. Carboplatin, with comparable molecular biology but a four-fold lower potency and a different toxicity profile, has consistently produced inferior outcomes when substituted for cisplatin in combination [23]. The clinical value of cisplatin in MIBC therefore rests on combination with other active agents — MVAC, dd-MVAC and cisplatin–gemcitabine. dd-MVAC clearly showed an advantage over GC in the VESPER trial, with a cisplatin dose–response correlation [6,24,25,26]. Combination with immune checkpoint inhibitors is mechanistically attractive: platinum induces immunogenic cell death, releases tumour antigens, depletes some immunosuppressive populations and can convert "cold" tumours into inflamed ones [27,28], creating substrate for an anti-PD-(L)1 response [29]. Across tumour types, this rationale has translated into consistent perioperative benefit — CheckMate 816, KEYNOTE-671 and AEGEAN in NSCLC, KEYNOTE-522 in TNBC, MATTERHORN in gastric/GEJ cancer, and NIAGARA in MIBC [8,30,31,32,33,34,35] — yet in urothelial cancer specifically the ENERGIZE (NCT03661320) and KEYNOTE-866 (NCT03924856) trials have failed to extend the NIAGARA result, indicating that the chemo-immunotherapy interaction is more nuanced than an additive effect and thus context-dependent.
Our observation of broad lymphocytic attrition after dd-MVAC — affecting both regulatory (FOXP3⁺) and total (CD3⁺) T-cell compartments, as well as PD-L2⁺ and NY-ESO-1⁺ populations — adds to this nuance. It contrasts with the immunostimulatory framing often invoked for platinum and is consistent with the rationale for concurrent rather than purely sequential ICI–chemotherapy in the perioperative setting [8].
The stability of TMB and of the driver mutational landscape after NAC is concordant with the view that platinum resistance in UC is not predominantly acquired through gross genomic evolution during a short course of neoadjuvant therapy. Rather, determinants of cisplatin sensitivity — such as alterations in DNA-damage-response genes including ERCC2 and other nucleotide-excision-repair components [20] — are likely present from the outset, supporting pre-treatment genomic profiling as the appropriate window for biomarker-driven selection. Molecular subtype has also been associated with differential benefit from NAC [18,36], and integrating subtype with DNA-damage-response status may ultimately outperform single markers.
The absence of any association between baseline PD-L1, or other immune markers, and pCR echoes the experience of the neoadjuvant immunotherapy trials ABACUS and PURE-01, in which PD-L1 enriched for, but did not reliably predict, response [37,38]. In the contemporary context, the KEYNOTE-B15/EV-304 result [7] — a markedly higher pCR rate with EV–pembrolizumab than with cisplatin–gemcitabine — together with NIAGARA [8] and CheckMate 274 [9] is reshaping perioperative management. Our data argue that, even as non-platinum regimens move forward, a subgroup of patients still derive durable benefit from platinum: the 11 pCR patients in this cohort had no recurrences and only a single death over a median follow-up exceeding eight years, with significantly better Kaplan–Meier overall and recurrence-free survival than patients with residual disease or no cystectomy. Identifying these patients before treatment would spare them perioperative ICI exposure with its potential long-lasting toxicity and would, on a population scale, substantially reduce the burden of MIBC care.
In an exploratory re-staging analysis, eight additional patients downstaged to non-muscle-invasive disease at cystectomy (T1/Tis/Ta) had overall survival indistinguishable from the pCR group (log-rank p = 0.91) and only a non-significant numerical excess of recurrence events (2/8 vs. 0/11; p = 0.15). Across all four re-staging categories (pCR, non-MIBC downstaging, MIBC residual ≥T2, no surgery) both OS and RFS differed significantly (log-rank p = 0.018 and p = 0.023, respectively), with the pCR and downstaging curves clearly separated from the other two. Although these numbers are small for robust head-to-head inference, the finding is consistent with the wider MIBC literature treating post-NAC ≤T1 N0 as a "near-pCR" outcome and broadens the apparent platinum-sensitive subset in our cohort from 11/42 (26%) to 19/42 (45%) of operated patients.
For locally advanced and metastatic disease, platinum-based chemotherapy retains an important role in later lines after first-line ADC-based regimens [12,13,14]. Characterising which patients remain platinum-sensitive across the treatment trajectory is therefore not of historical interest only but is directly relevant to sequencing decisions today.
This study has important limitations. It is retrospective and single-centre, the sample size is modest, and the paired genetic and immune analyses were possible only in a subset, limiting statistical power and possibly introducing selection bias, as patients progressing early on PBC were not included; the immune-marker comparisons are exploratory and unadjusted for multiple testing. Immune infiltration was scored semi-quantitatively rather than by quantitative digital pathology. A small proportion of patients in any neoadjuvant cohort would achieve a pCR after TURBT alone and therefore derive no incremental benefit from chemotherapy, although in this high-risk MIBC population that proportion is expected to be very low. These constraints notwithstanding, the long and near-complete follow-up, the inclusion of all 54 consecutive eligible patients, and the availability of paired pre- and post-treatment tissue are notable strengths.

5. Conclusions

Neoadjuvant dose-dense MVAC remodels the muscle-invasive bladder cancer immune microenvironment — depleting regulatory and total T-cell populations and PD-L2 and NY-ESO-1 expression — without altering tumour mutational burden or the core genomic landscape. No pre-treatment immune or genomic marker, including PD-L1, identified platinum-refractory patients in this long-term cohort, although pathologic complete response remained strongly associated with overall and recurrence-free survival. As antibody–drug conjugate and immunotherapy regimens reshape both the perioperative and metastatic settings, better predictive biomarkers are needed to identify the patients who still benefit from platinum and to guide rational treatment sequencing across the urothelial cancer trajectory.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org: Supplementary Methods S1 — wet-lab and bioinformatic methods for TSO-500 and WES; Supplementary Table S1 — antibodies and staining conditions used for immunohistochemistry.

Author Contributions

Conceptualisation, D.D.M. and S.R.; methodology, D.D.M., J.V.d.M., S.L., T.R. and P.-J.V.; formal analysis, D.D.M.; investigation, all authors; data curation, D.D.M.; writing—original draft preparation, D.D.M.; writing—review and editing, all authors; supervision, S.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by a grant from Roche Diagnostics.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Ghent University Hospital (protocol code 20171080).

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available owing to privacy and ethical restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef] [PubMed]
  2. Powles, T.; Bellmunt, J.; Comperat, E.; De Santis, M.; Huddart, R.; Loriot, Y.; Necchi, A.; Valderrama, B.P.; Ravaud, A.; Shariat, S.F.; et al. ESMO Clinical Practice Guideline interim update on first-line therapy in advanced urothelial carcinoma. Ann. Oncol. 2024, 35, 485–490. [Google Scholar] [CrossRef] [PubMed]
  3. van der Heijden, A.G.; Bruins, H.M.; Carrion, A.; Cathomas, R.; Comperat, E.; Dimitropoulos, K.; Efstathiou, J.A.; Fietkau, R.; Kailavasan, M.; Lorch, A.; et al. European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2025 Guidelines. Eur. Urol. 2025, 87, 582–600. [Google Scholar] [CrossRef] [PubMed]
  4. Grossman, H.B.; Natale, R.B.; Tangen, C.M.; Speights, V.O.; Vogelzang, N.J.; Trump, D.L.; deVere White, R.W.; Sarosdy, M.F.; Wood, D.P., Jr.; Raghavan, D.; et al. Neoadjuvant chemotherapy plus cystectomy compared with cystectomy alone for locally advanced bladder cancer. N Engl. J. Med. 2003, 349, 859–866. [Google Scholar] [CrossRef] [PubMed]
  5. International Collaboration of Trialists; Medical Research Council Advanced Bladder Cancer Working Party; European Organisation for Research and Treatment of Cancer Genito-Urinary Tract Cancer Group; Australian Bladder Cancer Study Group; National Cancer Institute of Canada Clinical Trials Group; Finnbladder; Norwegian Bladder Cancer Study Group; Club Urologico Espanol de Tratamiento Oncologico Group; Griffiths, G. International phase III trial assessing neoadjuvant cisplatin, methotrexate, and vinblastine chemotherapy for muscle-invasive bladder cancer: long-term results of the BA06 30894 trial. J. Clin. Oncol. 2011, 29, 2171–2177. [Google Scholar] [CrossRef] [PubMed]
  6. Pfister, C.; Gravis, G.; Flechon, A.; Chevreau, C.; Mahammedi, H.; Laguerre, B.; Guillot, A.; Joly, F.; Soulie, M.; Allory, Y.; et al. Dose-Dense Methotrexate, Vinblastine, Doxorubicin, and Cisplatin or Gemcitabine and Cisplatin as Perioperative Chemotherapy for Patients With Nonmetastatic Muscle-Invasive Bladder Cancer: Results of the GETUG-AFU V05 VESPER Trial. J. Clin. Oncol. 2022, 40, 2013–2022. [Google Scholar] [CrossRef] [PubMed]
  7. Galsky, M.D.; Valderrama, B.P.; Maruzzo, M.; Pous, A.F.; Ciuleanu, T.E.; Chatzkel, J.A.; Koie, T.; Hoimes, C.J.; Puente, J.; Zakharia, Y.; et al. Neoadjuvant and adjuvant enfortumab vedotin (EV) plus pembrolizumab (pembro) for participants with muscle-invasive bladder cancer (MIBC) who are eligible for cisplatin: Randomized, open-label, phase 3 KEYNOTE-B15 study. J. Clin. Oncol. 2026, 44 (Suppl 7), LBA630. [Google Scholar] [CrossRef]
  8. Powles, T.; Catto, J.W.F.; Galsky, M.D.; Al-Ahmadie, H.; Meeks, J.J.; Nishiyama, H.; Vu, T.Q.; Antonuzzo, L.; Wiechno, P.; Atduev, V.; et al. Perioperative Durvalumab with Neoadjuvant Chemotherapy in Operable Bladder Cancer. N Engl. J. Med. 2024, 391, 1773–1786. [Google Scholar] [CrossRef] [PubMed]
  9. Bajorin, D.F.; Witjes, J.A.; Gschwend, J.E.; Schenker, M.; Valderrama, B.P.; Tomita, Y.; Bamias, A.; Lebret, T.; Shariat, S.F.; Park, S.H.; et al. Adjuvant Nivolumab versus Placebo in Muscle-Invasive Urothelial Carcinoma. N Engl. J. Med. 2021, 384, 2102–2114. [Google Scholar] [CrossRef] [PubMed]
  10. Apolo, A.B.; Ballman, K.V.; Sonpavde, G.; Berg, S.; Kim, W.Y.; Parikh, R.; Teo, M.Y.; Sweis, R.F.; Geynisman, D.M.; Grivas, P.; et al. Adjuvant Pembrolizumab versus Observation in Muscle-Invasive Urothelial Carcinoma. N Engl. J. Med. 2025, 392, 45–55. [Google Scholar] [CrossRef] [PubMed]
  11. Powles, T.; Kann, A.G.; Castellano, D.; Gross-Goupil, M.; Nishiyama, H.; Bracarda, S.; Bjerggaard Jensen, J.; Makaroff, L.; Jiang, S.; Ku, J.H.; et al. ctDNA-Guided Adjuvant Atezolizumab in Muscle-Invasive Bladder Cancer. N Engl. J. Med. 2025, 393, 2395–2408. [Google Scholar] [CrossRef] [PubMed]
  12. Powles, T.; Valderrama, B.P.; Gupta, S.; Bedke, J.; Kikuchi, E.; Hoffman-Censits, J.; Iyer, G.; Vulsteke, C.; Park, S.H.; Shin, S.J.; et al. Enfortumab Vedotin and Pembrolizumab in Untreated Advanced Urothelial Cancer. N Engl. J. Med. 2024, 390, 875–888. [Google Scholar] [CrossRef] [PubMed]
  13. Sheng, X.; Zeng, G.; Zhang, C.; Zhang, Q.; Bian, J.; Niu, H.; Li, J.; Shi, Y.; Yao, K.; Hu, B.; et al. Disitamab Vedotin plus Toripalimab in HER2-Expressing Advanced Urothelial Cancer. N Engl. J. Med. 2025, 393, 2324–2337. [Google Scholar] [CrossRef] [PubMed]
  14. Meric-Bernstam, F.; Makker, V.; Oaknin, A.; Oh, D.Y.; Banerjee, S.; Gonzalez-Martin, A.; Jung, K.H.; Lugowska, I.; Manso, L.; Manzano, A.; et al. Efficacy and Safety of Trastuzumab Deruxtecan in Patients With HER2-Expressing Solid Tumors: Primary Results From the DESTINY-PanTumor02 Phase II Trial. J. Clin. Oncol. 2024, 42, 47–58. [Google Scholar] [CrossRef] [PubMed]
  15. Galsky, M.D.; Hahn, N.M.; Rosenberg, J.; Sonpavde, G.; Hutson, T.; Oh, W.K.; Dreicer, R.; Vogelzang, N.; Sternberg, C.N.; Bajorin, D.F.; et al. Treatment of patients with metastatic urothelial cancer "unfit" for cisplatin-based chemotherapy. J. Clin. Oncol. 2011, 29, 2432–2438. [Google Scholar] [CrossRef] [PubMed]
  16. Tsao, M.S.; Kerr, K.M.; Kockx, M.; Beasley, M.B.; Borczuk, A.C.; Botling, J.; Bubendorf, L.; Chirieac, L.; Chen, G.; Chou, T.Y.; et al. PD-L1 Immunohistochemistry Comparability Study in Real-Life Clinical Samples: Results of Blueprint Phase 2 Project. J. Thorac. Oncol. 2018, 13, 1302–1311. [Google Scholar] [CrossRef] [PubMed]
  17. Hirsch, F.R.; McElhinny, A.; Stanforth, D.; Ranger-Moore, J.; Jansson, M.; Kulangara, K.; Richardson, W.; Towne, P.; Hanks, D.; Vennapusa, B.; et al. PD-L1 Immunohistochemistry Assays for Lung Cancer: Results from Phase 1 of the Blueprint PD-L1 IHC Assay Comparison Project. J. Thorac. Oncol. 2017, 12, 208–222. [Google Scholar] [CrossRef] [PubMed]
  18. Robertson, A.G.; Kim, J.; Al-Ahmadie, H.; Bellmunt, J.; Guo, G.; Cherniack, A.D.; Hinoue, T.; Laird, P.W.; Hoadley, K.A.; Akbani, R.; et al. Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer. Cell 2017, 171, 540–556.e25. [Google Scholar] [CrossRef] [PubMed]
  19. Loehrer, P.J., Sr.; Einhorn, L.H.; Elson, P.J.; Crawford, E.D.; Kuebler, P.; Tannock, I.; Raghavan, D.; Stuart-Harris, R.; Sarosdy, M.F.; Lowe, B.A.; et al. A randomized comparison of cisplatin alone or in combination with methotrexate, vinblastine, and doxorubicin in patients with metastatic urothelial carcinoma: a cooperative group study. J. Clin. Oncol. 1992, 10, 1066–1073. [Google Scholar] [CrossRef] [PubMed]
  20. Van Allen, E.M.; Mouw, K.W.; Kim, P.; Iyer, G.; Wagle, N.; Al-Ahmadie, H.; Zhu, C.; Ostrovnaya, I.; Kryukov, G.V.; O'Connor, K.W.; et al. Somatic ERCC2 mutations correlate with cisplatin sensitivity in muscle-invasive urothelial carcinoma. Cancer Discov. 2014, 4, 1140–1153. [Google Scholar] [CrossRef] [PubMed]
  21. Mansoori, B.; Mohammadi, A.; Davudian, S.; Shirjang, S.; Baradaran, B. The Different Mechanisms of Cancer Drug Resistance: A Brief Review. Adv. Pharm. Bull. 2017, 7, 339–348. [Google Scholar] [CrossRef] [PubMed]
  22. Dasari, S.; Tchounwou, P.B. Cisplatin in cancer therapy: molecular mechanisms of action. Eur. J. Pharmacol. 2014, 740, 364–378. [Google Scholar] [CrossRef] [PubMed]
  23. Galsky, M.D.; Chen, G.J.; Oh, W.K.; Bellmunt, J.; Roth, B.J.; Petrioli, R.; Dogliotti, L.; Dreicer, R.; Sonpavde, G. Comparative effectiveness of cisplatin-based and carboplatin-based chemotherapy for treatment of advanced urothelial carcinoma. Ann. Oncol. 2012, 23, 406–410. [Google Scholar] [CrossRef] [PubMed]
  24. Advanced Bladder Cancer (ABC) Meta-analysis Collaboration. Neoadjuvant chemotherapy in invasive bladder cancer: a systematic review and meta-analysis. Lancet 2003, 361, 1927–1934. [CrossRef] [PubMed]
  25. Sternberg, C.N.; Donat, S.M.; Bellmunt, J.; Millikan, R.E.; Stadler, W.; De Mulder, P.; Sherif, A.; von der Maase, H.; Tsukamoto, T.; Soloway, M.S. Chemotherapy for bladder cancer: treatment guidelines for neoadjuvant chemotherapy, bladder preservation, adjuvant chemotherapy, and metastatic cancer. Urology 2007, 69, 62–79. [Google Scholar] [CrossRef] [PubMed]
  26. Yin, M.; Joshi, M.; Meijer, R.P.; Glantz, M.; Holder, S.; Harvey, H.A.; Kaag, M.; Fransen van de Putte, E.E.; Horenblas, S.; Drabick, J.J. Neoadjuvant Chemotherapy for Muscle-Invasive Bladder Cancer: A Systematic Review and Two-Step Meta-Analysis. Oncologist 2016, 21, 708–715. [Google Scholar] [CrossRef] [PubMed]
  27. Galluzzi, L.; Buque, A.; Kepp, O.; Zitvogel, L.; Kroemer, G. Immunogenic cell death in cancer and infectious disease. Nat. Rev. Immunol. 2017, 17, 97–111. [Google Scholar] [CrossRef] [PubMed]
  28. Galon, J.; Bruni, D. Approaches to treat immune hot, altered and cold tumours with combination immunotherapies. Nat. Rev. Drug Discov. 2019, 18, 197–218. [Google Scholar] [CrossRef] [PubMed]
  29. Heinhuis, K.M.; Ros, W.; Kok, M.; Steeghs, N.; Beijnen, J.H.; Schellens, J.H.M. Enhancing antitumor response by combining immune checkpoint inhibitors with chemotherapy in solid tumors. Ann. Oncol. 2019, 30, 219–235. [Google Scholar] [CrossRef] [PubMed]
  30. Liu, J.; Blake, S.J.; Yong, M.C.; Harjunpaa, H.; Ngiow, S.F.; Takeda, K.; Young, A.; O'Donnell, J.S.; Allen, S.; Smyth, M.J.; et al. Improved Efficacy of Neoadjuvant Compared to Adjuvant Immunotherapy to Eradicate Metastatic Disease. Cancer Discov. 2016, 6, 1382–1399. [Google Scholar] [CrossRef] [PubMed]
  31. Forde, P.M.; Spicer, J.; Lu, S.; Provencio, M.; Mitsudomi, T.; Awad, M.M.; Felip, E.; Broderick, S.R.; Brahmer, J.R.; Swanson, S.J.; et al. Neoadjuvant Nivolumab plus Chemotherapy in Resectable Lung Cancer. N Engl. J. Med. 2022, 386, 1973–1985. [Google Scholar] [CrossRef] [PubMed]
  32. Janjigian, Y.Y.; Van Cutsem, E.; Muro, K.; Wainberg, Z.; Al-Batran, S.E.; Hyung, W.J.; Molena, D.; Marcovitz, M.; Ruscica, D.; Robbins, S.H.; et al. MATTERHORN: phase III study of durvalumab plus FLOT chemotherapy in resectable gastric/gastroesophageal junction cancer. Future Oncol. 2022, 18, 2465–2473. [Google Scholar] [CrossRef] [PubMed]
  33. Schmid, P.; Cortes, J.; Dent, R.; Pusztai, L.; McArthur, H.; Kummel, S.; Bergh, J.; Denkert, C.; Park, Y.H.; Hui, R.; et al. Event-free Survival with Pembrolizumab in Early Triple-Negative Breast Cancer. N Engl. J. Med. 2022, 386, 556–567. [Google Scholar] [CrossRef] [PubMed]
  34. Heymach, J.V.; Harpole, D.; Mitsudomi, T.; Taube, J.M.; Galffy, G.; Hochmair, M.; Winder, T.; Zukov, R.; Garbaos, G.; Gao, S.; et al. Perioperative Durvalumab for Resectable Non-Small-Cell Lung Cancer. N Engl. J. Med. 2023, 389, 1672–1684. [Google Scholar] [CrossRef] [PubMed]
  35. Wakelee, H.; Liberman, M.; Kato, T.; Tsuboi, M.; Lee, S.H.; Gao, S.; Chen, K.N.; Dooms, C.; Majem, M.; Eigendorff, E.; et al. Perioperative Pembrolizumab for Early-Stage Non-Small-Cell Lung Cancer. N Engl. J. Med. 2023, 389, 491–503. [Google Scholar] [CrossRef] [PubMed]
  36. Seiler, R.; Ashab, H.A.D.; Erho, N.; van Rhijn, B.W.G.; Winters, B.; Douglas, J.; Van Kessel, K.E.; Fransen van de Putte, E.E.; Sommerlad, M.; Wang, N.Q.; et al. Impact of Molecular Subtypes in Muscle-invasive Bladder Cancer on Predicting Response and Survival after Neoadjuvant Chemotherapy. Eur. Urol. 2017, 72, 544–554. [Google Scholar] [CrossRef] [PubMed]
  37. Necchi, A.; Anichini, A.; Raggi, D.; Briganti, A.; Massa, S.; Luciano, R.; Colecchia, M.; Giannatempo, P.; Mortarini, R.; Bianchi, M.; et al. Pembrolizumab as Neoadjuvant Therapy Before Radical Cystectomy in Patients With Muscle-Invasive Urothelial Bladder Carcinoma (PURE-01): An Open-Label, Single-Arm, Phase II Study. J. Clin. Oncol. 2018, 36, 3353–3360. [Google Scholar] [CrossRef] [PubMed]
  38. Powles, T.; Kockx, M.; Rodriguez-Vida, A.; Duran, I.; Crabb, S.J.; Van Der Heijden, M.S.; Szabados, B.; Pous, A.F.; Gravis, G.; Herranz, U.A.; et al. Clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial. Nat. Med. 2019, 25, 1706–1714. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Swimmer’s plot of the 54-patient MIBC cohort, grouped by pathologic response (pCR, residual disease, no surgery) and coloured by PD-L1 status. Black segments indicate neoadjuvant dd-MVAC; markers denote cystectomy, adjuvant radiotherapy (operated patients), primary radiotherapy or chemo-radiotherapy (no-surgery group), recurrence, subsequent systemic therapy lines, death and alive-at-last-follow-up. Salvage and palliative radiotherapy, which combined heterogeneous indications, are not shown.
Figure 1. Swimmer’s plot of the 54-patient MIBC cohort, grouped by pathologic response (pCR, residual disease, no surgery) and coloured by PD-L1 status. Black segments indicate neoadjuvant dd-MVAC; markers denote cystectomy, adjuvant radiotherapy (operated patients), primary radiotherapy or chemo-radiotherapy (no-surgery group), recurrence, subsequent systemic therapy lines, death and alive-at-last-follow-up. Salvage and palliative radiotherapy, which combined heterogeneous indications, are not shown.
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Figure 2. Kaplan–Meier estimates of (a) overall survival and (b) recurrence-free survival from the start of neoadjuvant chemotherapy, stratified by pathologic response. Tick marks indicate censoring; numbers at risk are shown beneath each panel; the three-group log-rank p-value is shown in each panel.
Figure 2. Kaplan–Meier estimates of (a) overall survival and (b) recurrence-free survival from the start of neoadjuvant chemotherapy, stratified by pathologic response. Tick marks indicate censoring; numbers at risk are shown beneath each panel; the three-group log-rank p-value is shown in each panel.
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Figure 3. Point change in tumour mutational burden (TMB) after neoadjuvant chemotherapy, measured by whole-exome sequencing (WES) and TSO-500.
Figure 3. Point change in tumour mutational burden (TMB) after neoadjuvant chemotherapy, measured by whole-exome sequencing (WES) and TSO-500.
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Figure 4. Slope charts of paired pre- and post-NAC TMB for individual patients, measured by TSO-500 (left) and WES (right). Lines are coloured according to the direction of change in TMB by WES (green = increase, red = decrease); the corresponding TSO-500 trajectory for each patient is shown on the left panel using the same colour assignment.
Figure 4. Slope charts of paired pre- and post-NAC TMB for individual patients, measured by TSO-500 (left) and WES (right). Lines are coloured according to the direction of change in TMB by WES (green = increase, red = decrease); the corresponding TSO-500 trajectory for each patient is shown on the left panel using the same colour assignment.
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Table 1. Baseline characteristics by pathologic response.
Table 1. Baseline characteristics by pathologic response.
Characteristic pCR (n = 11) No pCR (n = 31) p-value
Age at TURBT, years — median (IQR) 68.9 (55.6–70.9) 64.2 (55.7–72.5) 0.852
Male sex 9/11 (81.8%) 23/31 (74.2%) >0.99
Smoking, never / former / active 3 / 4 / 4 10 / 11 / 10 >0.99
Hydronephrosis at diagnosis 1/11 (9.1%) 16/31 (51.6%) 0.016
Completed 4 dd-MVAC cycles 10/11 (90.9%) 27/31 (87.1%) >0.99
Adjuvant radiotherapy 0/11 (0.0%) 13/31 (41.9%) 0.009
Variant histology (any) 1/11 (9.1%) 4/31 (12.9%) >0.99
p-values were computed in Stata (tab var respgrp, exact and ranksum): Fisher’s exact test for binary variables, Fisher–Freeman–Halton extension for the 3 × 2 smoking table, and Mann–Whitney U test for age. Values rounded to a probability of 1.000 are reported as >0.99. The 12 patients who did not undergo cystectomy are not assessable for pCR and are excluded.
Table 2. Paired pre- and post-NAC genetic alterations (12 evaluable cases).
Table 2. Paired pre- and post-NAC genetic alterations (12 evaluable cases).
Case Amplif. TSO-500 pre-NAC Amplif. TSO-500 post-NAC Variants TSO-500 pre-NAC Variants TSO-500 post-NAC Variants WES pre-NAC Variants WES post-NAC
Case 1 None detected None detected TP53 R248Q
FBXW7 R385G
(7 VUS)
TP53 R248Q
FBXW7 R385G
TSC1 c.2626-2dup
(EP300 VUS)
TP53 R248Q
FBXW7 R385G
TSC1 c.2626-2dup
(EP300 VUS)
TP53 R248Q
FBXW7 R385G
Case 2 MYC (3.3) MYC (2) TP53 T256Hfs*8
FGFR3 K652E
FGFR3 I540V
PIK3CA H1047R
KDM6A splice
DNMT3B Q475*
(17 VUS)
TP53 T256Hfs*8
FGFR3 K652E
FGFR3 I540V
PIK3CA H1047R
KDM6A splice
(16 VUS)
TP53 T256Hfs*8
FGFR3 K652E
FGFR3 I540V
KDM6A splice
KMT2D C3132Lfs*44
(ATM VUS, ERBB3 VUS, KMT2D VUS, MB21D2 VUS)
TP53 T256Hfs*8
FGFR3 K652E
FGFR3 I540V
PIK3CA H1047R
KDM6A splice (16 VUS)
Case 3 None detected None detected / / TP53 S241F
TP53 C238S
(ERBB3 VUS, FAT1 VUS, H3C2 VUS, KMT2C VUS)
/
Case 4 None detected None detected / / CDKN2A E27*
CDKN2A S12*
KDM56A K29*
TP53 S183*
KMT2C Q220*
(FGFR3 VUS, 2x FOXA1 VUS, KMT2A VUS, 3x KMT2C VUS, KMT2D VUS)
CDKN2A E27*
KDM56A K29*
TP53 S183*
KMT2C Q220*
(KMT2C VUS)
Case 5 / / / / / /
Case 6 CCNE1 (15.4), EGFR (3.9), MYC (2.3) CCNE1 (8.6), EGFR (4.7) KDM6A Q687Nfs*56
PIK3CA E545K
SHQ1 Q551*
MUTYH G396D
TP53 H168L (VUS)
(18 VUS)
KDM6A Q687Nfs*56
PIK3CA E545K
SHQ1 Q551*
MUTYH G396D
TP53 H168L (VUS)
(18 VUS)
KDM6A Q635Nfs*56
PIK3CA E545K
TP53 H168L (VUS)
(KMT2C VUS, KANSL1 VUS, CREBBP VUS)
KDM6A Q635Nfs*56
PIK3CA E545K
TP53 H168L (VUS)
(KMT2C VUS, KANSL1 VUS, CREBBP VUS)
Case 7 None detected None detected KDM6A R1415*
CIC S1932Pfs*9
ERCC2 E606Q
RB1 E252*
RB1 Q850*
MITF E318K (25 VUS)
ERCC2 E582Q
RB1 E282*
RB1 Q850*
(ELF3 VUS, ERBB3 VUS, 2x FBXW7 VUS, FOXQ1 VUS, RB1 VUS, RBM10 VUS, SSH3 VUS)
(KMT2C VUS)
Case 8 MET (9.7), CCND1 (5.4) CCND1 (1.96) TP53 I255F
CDKN2A E88Gfs*32
CDKN2A R58*
KDM6A P1449Ifs*142
FAT1 Y3372*
RBM10 E494*
NFE2L2 E79Q (lage VAF)
FAT1 M1533Rfs*9 (lage VAF)
FBXW7 S598* (lage VAF)
TP53 Q136E (lage VAF)
CASP8 R430* (lage VAF)
(11 VUS)
TP53 I255F
CDKN2A E88Gfs*32
CDKN2A R58*
KDM6A P1449Ifs*142
FAT1 Y3372*
RBM10 E494*
NFE2L2 E79Q
FAT1 M1533Rfs*9
(15 VUS)
TP53 I255F
CDKN2A E88Gfs*32
CDKN2A R58*
KDM6A P1449Ifs*142
FAT1 Y3372*
RBM10 E494*
NFE2L2 E79Q (lage VAF)
FAT1 M1533Rfs*9 (lage VAF)
FBXW7 S598* (lage VAF)
TP53 Q136E (lage VAF)
CASP8 R430* (lage VAF)
FOXQ1 L181Cfs*223
(KMT2D VUS)
TP53 I255F
CDKN2A E88Gfs*32
CDKN2A R58*
KDM6A P1449Ifs*142
FAT1 Y3372*
RBM10 E494*
NFE2L2 E79Q
FAT1 M1533Rfs*9
FOXQ1 L181Cfs*223
(KMT2A VUS, KMT2D VUS)
Case 9 None detected None detected TP53 P151S
NOTCH3 D1221Gfs*44
MUTYH G369D
(8 VUS)
TP53 P151S
NOTCH3 D1221Gfs*44
MUTYH G369D
(8 VUS)
TP53 P151S
(KMT2C VUS, STAG2 VUS)
TP53 P151S
(KMT2C VUS, STAG2 VUS) - veel achtergrondruis - varianten lage VAF
Case 10 None detected None detected ARID1A E1531*, CREBBP Q935*, RB1 Q62*, STAG2 L657Dfs*3 (ARID1A VUS, 3x KMT2C VUS, SSH3 VUS, USP28 VUS) ARID1A E1531*, CREBBP Q935*, PIK3CA E545K, RB1 Q62*, STAG2 L657Dfs*3 (ARID1A VUS, 2x H3C2 VUS, 3x KMT2C VUS, SSH3 VUS, USP28 VUS)
Case 11 None detected None detected PIK3CA E545K, FH R101* (9 VUS) PIK3CA E545K, FH R101* (9 VUS) PIK3CA E545K, FH R101* (9 VUS) PIK3CA E545K, RHOB E47K (FAT1 Q3959E VUS)
Case 12 MYC (2), CCND1 (2) MYC (2.1) TP53 Q104*
NFE2L2 E79Q (13 VUS)
TP53 Q104*
NFE2L2 E79Q
MDC1 splice?
(14 VUS)
TP53 Q104*
NFE2L2 E79Q
(13 VUS)
TP53 Q104*
NFE2L2 E79Q
KMT2C A2923Cfs*2
KMT2D H5186Tfs*57
KMT2D Q3796*
(ATM VUS, KMT2C VUS, NRAS VUS)
Amplification copy numbers shown in parentheses. VUS, variant(s) of uncertain significance; "/" indicates not evaluable; "None detected" indicates no amplification identified. TSO-500, TruSight Oncology 500 panel; WES, whole-exome sequencing; NAC, neoadjuvant chemotherapy.
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