Review of SWOG S1314: Lessons from a Randomized Phase II Study of Co-Expression Extrapolation (COXEN) with Neoadjuvant Chemotherapy for Localized,Muscle-Invasive Bladder Cancer

INTRODUCTION

It is estimated that there will be 80,470 new cases and 17,670 deaths from bladder cancer in the United States in 2019 [1]. Predominately affecting males, bladder cancer has an average age of onset of 73 years. Worldwide it represents the 4th most common cause of cancer in men and the 11th most common cause in women [1].

The majority of bladder cancers are pathologically characterized as urothelial carcinoma. The stage of bladder cancer can be divided into 3 main categories: non-muscle invasive, muscle invasive disease or metastatic disease. Current guidelines recommend that patients with non-muscle invasive bladder carcinoma (NMIBC) should be initially treated with transurethral resection and a single dose of intravesical chemotherapy followed by either further intravesical chemotherapy or immunotherapy depending on their risk of recurrence and progression [2]. For those with muscle invasive bladder carcinoma (MIBC), approximately 25% of all patients, definitive local treatment is recommended. Acceptable treatment options for MIBC include neo-adjuvant cisplatin-based therapy followed by cystectomy or chemoradiotherapy, as well as other options based on patient eligibility and clinical stage [2]. In metastatic disease, cisplatin based regimens are effective and have long been considered first line options for systemic treatment. Methotrexate, Vinblastine, Doxorubicin, Cisplatin (MVAC) and gemcitabine plus cisplatin (GC) are two cisplatin-based regimens commonly used in the setting of MIBC and metastatic bladder cancer. Though many patients inially respond to medical therapy, the majority of patients with advanced disease on cisplatin-based regimens will ultimately experience cancer progression. In the last few years, the therapies available to treat bladder cancer have begun to diversify. Most prominently, the results of recent clinical trials have added a number of PD-1/PD-L1 immune checkpoint inhibitors (ICIs) as treatment options in non-muslce invasive, locally advanced and metastatic urothelial carcinoma. A recent example is pembrolizumab, which was FDA-approved on the basis of an open label, phase 3 clinical trial consisting of 542 patients diagnosed with advanced urothelial carcinoma, randomly assigned to receive either pembrolizumab or chemotherapy as second line therapy. Investigators found that the median overall survival was approximately 3 months longer in patients treated with pembrolizumab (10.3 months [95% confidence interval, 8.0 to 11.8]) than those treated with chemotherapy (7.4 months [95% CI, 6.1 to 8.3]) [3]. Another ICI, atezolizumab, was approved on the basis of a phase II clinical trial that enrolled 316 patients with metastatic urothelial carcinoma [4]. Interestingly, an open label phase three clinical trial that randomly assigned patients with metastatic carcinoma to receive either atezolizumab or chemotherapy found no difference in overall survival [5]. Nevertheless, IMvigor 130, a phase III study evaluating the efficacy and safety of atezolizumab combined with platinum based chemotherapy or as a monotherapy in patients with locally advanced or metastatic urothelial carcinoma, found that the combination of ICI+chemotherapy prolonged progression-free survival (8.2 months [95% CI, 6.5 to 8.3]) compared to chemotherapy alone (6.3 months [95% CI, 6.2 to 7.0]). No difference in overall survival was reported in the interim analysis [6].

Current research has turned to examine the role of ICI in neoadjuvant therapy for MIBC. To date, a number of clinical trials are underway in this vein (NCT02812420, NCT02845323, NCT02365766, NCT02690558), although dose-dense MVAC (ddMVAC) and GC remain the standard of care treatments in this setting. These studies examining ICIs either in combination with cisplatin-based chemotherapy or alone in the neoadjuvant setting will provide important information on the optimal treatment of MIBC. PURE-01, a study examining pembrolizumab in the neoadjuvant setting, was reported last year and demonstrated encouraging results [7].

A notable aspect of contemporary and historical treatment of MIBC is the underutilization of neo-adjuvant chemotherapy [8–10]. This underutilization exists despite the support of two randomized, phase III clinical trials. Initiated in 1987, SWOG 8710 randomized 317 subjects with MIBC to either cystectomy alone or three cycles of standard dose MVAC prior to cystectomy [11]. Investigators found that median survival was 77 months in the patients treated with MVAC compared to 44 months for those treated with no chemotherapy (P = 0.06). BA06 30894, a large European trial initiated in 1989, randomized 976 patients with MIBC to receive either no chemotherapy or three cycles of cisplatin, methotrexate and vinblastine (CMV) prior to cystectomy and/ or radiotherapy [12]. Long term results showed a statistically significant 16% reduction in risk of death (hazard ratio, 0.84; 95% CI, 0.72 to 0.99; P = 0.037) in those treated with CMV [13].

Despite the clear survival benefit with neoadjuvant therapy, further optimization and improvements in its application are needed. Given that a notable number of patients in both phase III trials were observed to be unresponsive to neoadjuvant chemotherapy, how can we identify patients who have disease that is unlikely to respond to neoadjuvant treatment and who might be better served by proceeding directly to surgery or receiving another treatment strategy entirely? Secondly, with multiple chemotherapy regimens (e.g. ddMVAC and GC) as acceptable standards of care, how can we evaluate whether a given patient is more likely to respond to one particular regimen as opposed to another? CoeXpression ExtrapolatioN (COXEN) presents the potential to answer both of these questions.

COXEN

COXEN (CO-eXpression ExtrapolatioN) is an algorithm developed by Dan Theodorescu, Jae Lee and colleagues at the University of Virginia that predicts the drug sensitivity of cancer cells based on in vitro drug sensitivity of a previously analyzed panel of diverse cancer cell models. COXEN was originally developed using the National Cancer Institute’s Development Therapeutics program’s NCI-60 Human Tumor Cell Line Screen, which included 60 cancer cell lines that have been used to screen over 100,000 anti-cancer compounds [14]. The algorithm uses a comparison of correlation matrices to identify gene expression patterns that are concordantly expressed in both cell lines of interest in relation to drug sensitivity (e.g. NCI-60) and relevant human samples (e.g. human bladder cancer samples). The result of this comparison (known as the COXEN coefficient) allows for the development of gene expression models (GEM) which can potentially provide prognostic and therapeutic benefit on the individual tumor level [15]. Thus, COXEN provides an a priori approach based on in vitro results that differs from the traditional process of biomarker discovery which oftentimes requires multiple cohorts of human samples with clinical outcome data. Since the signature is derived in the preclinical arena, COXEN allows for the immediate validation of the gene expression profile in human trials and rapid clinical translation.

An initial evaluation of the COXEN approach sought to predict the drug sensitivity of the BLA-40, a panel of 40 human urothelial bladder carcinomas, none of which were included in NCI-60. Using the NCI-60 gene expression and in vitro drug sensitivity data, investigators were able to apply the COXEN algorithm to accurately predict bladder cancer cell line sensitivity to paclitaxel and cisplatin [16]. Investigators subsequently used two cohort-based breast cancer clinical trials to show that COXEN can accurately predict clinical responses in a retrospective application of the approach [16]. Subsequently, researchers applied COXEN methodology to develop GEMs to evaluate tumor response and/or patient survival in seven independent cohorts of patients with a number of different cancer types, who underwent a number of different treatments [17].

SWOG 1314 TRIAL

Prior to utilizing COXEN to direct treatment and select which patients should receive a particular neoadjuvant regimen, we first needed to prospectively validate its use, showing that a treatment-specific COXEN score predicts response to chemotherapy. We endeavored to gain this prospective data by randomizing patients between two standard and acceptable treatments. Subsequently, we evaluated the association of the COXEN marker with the patient’s pathologic outcome. If the marker’s predictive properties were found to be adequate from a clinical perspective, this information would then inform and support the next trial, which would test whether assigning treatment based on the COXEN scores is more advantageous than just randomly assigning treatment.

SWOG 1314, a National Clinical Trial Network (NCTN) sponsored trial, sought to evaluate COXEN in the setting of two specific standard of care neoadjuvant regimens: ddMVAC and GC (Fig. 1). The phase II study included 227 eligible patients diagnosed with T2-T4aN0M0 urothelial carcinoma who were planning to undergo cystectomy (Fig. 2) [18]. These patients were randomized to receive 4 cycles of either GC or ddMVAC. At the time of enrollment, mandatory cancer tissue collection was required to enable gene expression profiling and COXEN score generation on the transurethral bladder tumor resection sample. Two distinct COXEN biomarkers were assessed, corresponding to each regimen (GC and MVAC). Setting a goal of enrolling 92 patients per treatment arm and applying a one-sided alpha of 0.05, investigators calculated that there would be “a 99% (82%) statistical power to detect an absolute difference in pT0 rates of 50% (30%) between patients with a favorable vs. unfavorable Coxen score (NCT02177695).”

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Fig. 1

Schema. S1314 enrolled patients with T2 to T4a N0 M0 urothelial carcinoma (mixed histology which included a component of urothelial carcinoma was acceptable). There was mandatory tissue collection from the TURBT at the time of randomization, as well as tumor sampling of those with residual disease at cystectomy.

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Fig. 2

Consort Diagram. 237 Patients were included for randomization in this Phase II trial. Nine patients were found ineligible. Of eligible patients, exclusions left 167 evaluable randomized patients.

DISCUSSION

SWOG 1314 was conducted at an intriguing moment during which bladder cancer therapeutic development entered a new and more productive era. In the past two decades both excessive accrual times and a discouragingly high number of prematurely terminated trials have led to a pervading negativity when it came to conducting clinical trials in bladder cancer [11, 19]. As a fully accrued, contemporary neoadjuvant bladder cancer biomarker trial, SWOG 1314 presents a rejoinder to this mentality in achieving its accrual goal, although the study did have more non-evaluable patients than anticipated. Coupled with the FDA’s approval of multiple new bladder specific therapies since 2016, the most recent being that of enfortumab vedotin (EV) and the targeted agent Erdafitinib [20, 21], SWOG 1314’s successful completion provides encouragement to pursue additional trials in this area. It is also notable that SWOG 1314 represents a novel example of translating an in vitro biomarker directly into a clinical application. With a larger array of therapies now available to treat bladder cancer there is a clear need for more investigations to identify predictive biomarkers in this setting. Encouragingly, Iyer et al. in their examination of neoadjuvant chemosensitivity in patients harboring DNA damage response and repair alterations have already begun this work (NCT03609216) [22].

While heartening, the completion of SWOG 1314 was not without challenges and many lessons learned.

CONCLUSION

In evaluating the prognostic and predictive capabilities of the MVAC and GC COXEN biomarkers in the neoadjuvant setting of bladder cancer, SWOG 1314 represents a novel example of translating an in vitro biomarker directly into clinical application. Furthermore, successful completion of S1314 as a large phase II clinical trial gives confidence that other neoadjuvant biomarker trials are likely to be successfully run in the setting of bladder cancer. Given the array of treatments now available in bladder cancer, there can be little argument that many important questions exist in this clinical setting. Beyond clinical outcomes and specific results of S1314, this trial provides lessons that may be useful to consider in the design of future trials. Chief amongst these is obtaining buy in from the research community –an important lesson that should not go underappreciated. Equally important is a careful consideration of sample collection, analysis plan and outcome expectations, given the time and effort to complete such trials. We are in an optimistic time in the development of new therapies for bladder cancer patients. Given the variety of existing therapeutic options, trials that seek to define predictive markers will only become more important.