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Van Wilpe, S.; Gerretsen, E.C.F.; Van Der Heijden, A.G.; De Vries, I.J.M.; Gerritsen, W.R.; Mehra, N. Biomarkers in urothelial cancer. Encyclopedia. Available online: https://encyclopedia.pub/entry/2475 (accessed on 17 November 2024).
Van Wilpe S, Gerretsen ECF, Van Der Heijden AG, De Vries IJM, Gerritsen WR, Mehra N. Biomarkers in urothelial cancer. Encyclopedia. Available at: https://encyclopedia.pub/entry/2475. Accessed November 17, 2024.
Van Wilpe, Sandra, Eveline C. F. Gerretsen, Antoine G. Van Der Heijden, I. Jolanda M. De Vries, Winald R. Gerritsen, Niven Mehra. "Biomarkers in urothelial cancer" Encyclopedia, https://encyclopedia.pub/entry/2475 (accessed November 17, 2024).
Van Wilpe, S., Gerretsen, E.C.F., Van Der Heijden, A.G., De Vries, I.J.M., Gerritsen, W.R., & Mehra, N. (2020, October 09). Biomarkers in urothelial cancer. In Encyclopedia. https://encyclopedia.pub/entry/2475
Van Wilpe, Sandra, et al. "Biomarkers in urothelial cancer." Encyclopedia. Web. 09 October, 2020.
Biomarkers in urothelial cancer
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This entry is adapted from the peer-reviewed paper 10.3390/cancers12092692

The prognosis and responsiveness to chemotherapy and checkpoint inhibitors differs substantially among patients with bladder cancer (BC). There is an unmet need for biomarkers that can accurately predict prognosis and treatment outcome. Here, we describe the available literature on the prognostic and predictive value of tumor-infiltrating immune cells in BC. Current evidence indicates that a high density of tumor-infiltrating CD8+ T cells is a favorable prognostic factor, whereas PD-L1 expression and tumor-associated macrophages are unfavorable prognostic features. While PD-L1 expression appears unsuccessful as biomarker for response to checkpoint inhibitors, there are some indications that high CD8+ T cell infiltration, low transforming growth factor-beta signaling and low densities of myeloid-derived suppressor cells are associated with response. Future studies should focus on combinations of biomarkers to accurately predict survival and response to treatment.

Urothelial cancer prognosis biomarkers checkpoint inhibitors chemotherapy

1. Introduction

The immune system plays a pivotal role in the development of cancer. During malignant transformation, cells acquire tumor-associated antigens (TAAs) due to mutations in protein-encoding genes or epigenetic alterations. T cells are able to recognize these TAAs and selectively eradicate cancer cells. During progression to clinically manifest cancer, tumor cells acquire mechanisms to escape immune surveillance. Tumors may lose antigenicity through the acquisition of defects in antigen processing and the presentation or loss of immunogenic TAAs. The upregulation of inhibitory checkpoint molecules, such as programmed cell death protein-1 (PD-1) or its ligand PD-L1, provides another way to avert an effective antitumor immune response. Additionally, tumors may escape immunity by attracting immune suppressive cells, such as regulatory T cells (Tregs), tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs). Among various cancer types, high T cell infiltration has been associated with a favorable prognosis, whereas immune suppressive cells and inhibitory immune checkpoints have been associated with a poor clinical outcome [1].

Bladder cancer (BC) is considered an immunogenic tumor, due to its relatively high tumor mutational burden and its responsiveness to Bacillus Calmette–Guerin (BCG) bladder instillations and checkpoint inhibitors. BC is the tenth most common malignancy worldwide, with urothelial carcinoma (UC) being by far the most common histological type of BC (>90%) [2]. Approximately 75% of patients present with non-muscle invasive bladder cancer (NMIBC). NMIBC is treated primarily by the transurethral resection of the tumor, followed by chemotherapy or BCG bladder instillations, depending on additional risk factors. Unfortunately, many patients experience disease recurrence or progression to muscle-invasive disease (MIBC) despite bladder instillations [3]. For localized MIBC, the gold standard is neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy. Neoadjuvant chemotherapy induces downstaging in 44.8% of patients and pathological complete responses in 25.7%. Nevertheless, the five-year overall survival (OS) benefit is only 8%, with five-year OS increasing from 45% to 53% [4]. Recent phase II trials evaluating the role of checkpoint inhibitors in MIBC have shown that pembrolizumab and atezolizumab induce remarkable pathological complete response rates in the neoadjuvant setting (42% and 29%, resp.), suggesting that this might be an alternative treatment option for MIBC [5][6]. Long-term follow-up data, however, are still awaited. For metastatic BC (mBC), cisplatin-based chemotherapy is currently the first line of treatment. Anti-PD-(L)1 is registered for the treatment of mBC patients who progressed on platinum-based chemotherapy and patients who are cisplatin-ineligible and have a high PD-L1 expression. Although anti-PD-(L)1 is able to induce durable responses in mBC patients, objective responses and disease control (objective response or stable disease) are achieved in only 21.1% and 38.5% of patients, respectively [7].

There is a need for biomarkers that predict the prognosis and responsiveness to the available treatments in BC. Strong prognostic biomarkers could be helpful for the selection of patients who could benefit from (neo)adjuvant treatments, such as bladder instillations and chemotherapy, and to determine the intensity of the follow-up. Predictive biomarkers, on the other hand, can be used to select the most effective drugs.

2. Prognostic Value of Tumor-Infiltrating Immune Cells

In our paper, we review the available evidence on the prognostic value of several immune types, i.e. CD3+ and CD8+ T cells, B cells, dendritic cells, natural killer cells, regulatory T cells, tumor-associated macrophages, myeloid-derived suppressor cells, neutrophils, eosinophils and mast cells. An overview of the available data is given in Figure 1 (IHC) and Figure 2 (RNA sequencing). In summary, there is plentiful evidence that high CD8+ T cell density in the tumor or invasive margin [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], low TAM infiltration [8][10][12][24][30][31][32][33][34][35][36][37][38][39] and low PD-L1 expression on tumor cells [14][40][41][42][43][44][45] are favorable prognostic factors in localized BC. Nevertheless, these markers have not yet been implemented in the clinic, likely due to the limited prognostic value of the individual markers.  A few small studies have investigated the prognostic value of combinations of markers, i.e. FoxP3/CD3 ratio [15], CD68/CD3 ratio [8] and NLR [11], and found that the combination had stronger prognostic value compared to either marker alone. 

Figure 1. Overview of immunohistochemistry studies in bladder cancer per immune cell type. The color (and position) indicate whether there was a positive or negative correlation. Dark green: significant positive correlation; light green: trend towards a positive correlation; yellow: no trend; orange: trend towards a negative correlation; red: negative correlation. The size of the dots indicates the number of studied patients. As some studies performed an analysis in more than one cohort, the number of dots is sometimes higher than the total number of studies (i.e., for the Tregs). Abbreviations: DCs: dendritic cells; IC: immune cell; INT: intraepithelial; IM: invasive margin; MDSCs: myeloid-derived mononuclear cells; N/A: not applicable; NK cells: natural killer cells; PD-(L)1: programmed death (ligand)-1; ST: stroma; TAM: tumor-associated macrophage; TC: tumor cell; TIM-3: T-cell immunoglobulin mucin-3; Tregs: regulatory T cells.

Figure 2. Overview of RNA sequencing studies in bladder cancer per immune cell type. The color (and position) indicate whether there was a positive or negative correlation. Dark green: significant positive correlation; light green: trend towards a positive correlation; yellow: no trend; orange: trend towards a negative correlation; red: negative correlation. The shape indicates the study where the data was derived from: ∆ [13], + [24], x [57], ● [12], o [58].

3. The predictive value of tumor-infiltrating immune cells for response to checkpoint inhibitors

Since 2017, immune checkpoint inhibitors are used for the treatment of mBC. The use of checkpoint inhibitors in BC is expanding. In January 2020, pembrolizumab was approved by the FDA for treatment of BCG-unresponsive, high-risk NMIBC, based on the results of the KEYNOTE-057 [46]. Additionally, phase II clinical trials evaluating the efficacy of neoadjuvant checkpoint inhibitor therapy in localized MIBC have shown promising results [5][6]. Unfortunately, not all patients benefit from checkpoint inhibitors. In mBC, objective responses and disease control are seen in only 21.1% and 38.5% of patients, respectively [7]. There is a need for predictive biomarkers that can be used to identify these patients.

Most evidence on biomarkers for checkpoint inhibitor response prediction in BC comes from clinical trials that included patients with UC of the bladder, urethra, ureter and renal pelvis. The biomarker that has been most extensively studied for its predictive value is PD-L1. Several tests have been developed to assess PD-L1 expression. Each therapeutic antibody has its own companion diagnostic with corresponding cut-off value and some variation can be observed between assays [47]. A recent meta-analysis, including 8 studies totaling 1436 patients, evaluated the use of PD-L1 as biomarker for response to PD-(L)1 inhibitors in advanced UC. Patients had received pembrolizumab, nivolumab, atezolizumab, durvalumab or avelumab. Patients with high PD-L1 expression had significantly higher objective response rates compared to patients with low PD-L1 expression (RR 0.53, p < 1x106). However, it did not accurately predict 1-year OS (RR 0.53, p = 0.304) [48]. To determine whether a biomarker is truly predictive for response rather than prognostic, a control arm is needed, consisting of patients that did not receive the treatment of interest. There are 2 studies available in UC that assessed PD-L1 expression and included a control arm. The IMvigor211 [49] is a randomized controlled, phase III trial comparing PD-L1 inhibitor atezolizumab with second-line chemotherapy in metastatic UC (mUC). Based on the hypothesis that efficacy of atezolizumab would be associated with PD-L1 expression, the investigators used a hierarchical study design where OS was first evaluated in the group of patients with PD-L1 expression on at least 5% of tumor-infiltrating immune cells (IC2/3). A significant difference would have allowed for further analysis in the intention-to-treat population, also including patients with lower PD-L1 expression. Atezolizumab, however, did not prolong OS in the IC2/3 population. High PD-L1 expression was associated with higher response rates in both the atezolizumab and chemotherapy arms. The other study including a control arm is the Keynote-045 [50], a randomized controlled, phase III trial comparing pembrolizumab with second-line chemotherapy.  In the Keynote-045, the benefit of pembrolizumab appeared to be independent of PD-L1 expression on tumor and immune cells. These studies indicate that PD-L1 expression is not useful as predictive biomarker in mUC. However, in 2018, the use of pembrolizumab and atezolizumab as first-line treatment in cisplatin-ineligible mUC patients was restricted to patients with high PD-L1 expression, based on unpublished, interim analyses of the Keynote-361 (NCT02853305) and IMvigor130 (NCT02807636) performed by the data safety monitoring committees. Both trials compare the combination of checkpoint inhibitors and chemotherapy with checkpoint inhibitors or chemotherapy alone in treatment-naïve mUC patients and observed poor survival in patients that received first-line single-agent checkpoint inhibitors. With both studies still ongoing, it is uncertain whether PD-L1 expression is truly a predictive biomarker in this setting. It is also possible that anti-PD-(L)1 is inferior to chemotherapy in mUC regardless of PD-L1 expression in the first-line setting.

In addition to PD-L1 expression, several studies have evaluated the predictive value of CD8+ T cells for response to anti-PD-(L)1. In 212 mUC patients receiving nivolumab as second-line treatment, high CD8+ T cell infiltration was associated with favorable clinical outcome. Objective responses were observed in 25.5% and 11.3% of patients with high and low CD8+ T cell infiltration, respectively. Median OS was 11.3 and 5.72 months [51]. Similarly, in the IMvigor 210, a phase II trial evaluating the efficacy of atezolizumab in mUC, CD8+ T cell infiltration was higher in patients who responded to atezolizumab (p = 0.0265) [52]. Moreover, phase I studies evaluating the efficacy of atezolizumab have also described a positive association between effector T cell signatures and clinical outcome [53][54]. In line with the findings in mUC, results from the ABACUS trial, a phase II trial investigating the efficacy of neoadjuvant atezolizumab in UC of the bladder, indicate that CD8+ T cell infiltration is also associated with higher pathologic complete response rates to neoadjuvant atezolizumab (40% vs 20% (high vs low), p < 0.05). Moreover, a predefined eight-gene cytotoxic T cell signature was significantly increased in responders compared to patients with stable disease (p < 0.01) and patients who relapsed (p < 0.01) [55].

Lack of response to atezolizumab in mUC has been associated with a signature of transforming growth factor-β (TGF-β), which was found to be particularly high in patients with immune-excluded tumors. Interestingly, in preclinical models the combination of anti-TGF-β and anti-PD-L1 was shown to reduce TGF-β signaling, increase intra-epithelial T cell penetration and significantly reduce tumor size in mice with high TGF-β signaling and immune-excluded tumors [29].

Finally, a phase I trial evaluating the efficacy of atezolizumab in 68 UC patients, found that patients with high baseline signatures of genes associated with myeloid cells (IL-1B, IL-8) had lower response rates to atezolizumab (p < 0.01) [54]. In line with these results, exploratory biomarker analysis in the Checkmate 275 trial, a single-arm phase II trial evaluating the efficacy of nivolumab after first-line chemotherapy in 220 mUC patients, suggests that low baseline circulating MDSC levels are indicative of a longer OS after nivolumab treatment(p < 0.05) [56].

To summarize, although PD-L1 expression has been associated with higher response rates to checkpoint inhibitors, it does not appear useful as a predictive biomarker in mUC. Studies have suggested that CD8+ T cell infiltration, TGF-β signaling and MDSCs are associated with response to checkpoint inhibitors. However, data are limited and due to the lack of a control arm, it is not possible to determine whether these biomarkers are truly predictive, or merely prognostic.

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Subjects: Immunology; Oncology
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Sandra van Wilpe
,
Eveline C. F. Gerretsen
,
Antoine G. van der Heijden
,
I. Jolanda M. de Vries
,
Winald R. Gerritsen
,
Niven Mehra
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Revisions: 2 times (View History)
Update Date: 12 Oct 2020
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