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. Author manuscript; available in PMC: 2020 Sep 5.
Published in final edited form as: Urol Oncol. 2018 Nov 20;37(1):1–11. doi: 10.1016/j.urolonc.2018.09.008

Association between precystectomy epithelial tumor marker response to neoadjuvant chemotherapy and oncological outcomes in urothelial bladder cancer

Soroush T Bazargani a, Thomas G Clifford a, Hooman Djaladat a, Anne K Schuckman a, Kevin Wayne a, Gus Miranda a, Jie Cai a, Sarmad Sadeghi b, Tanya Dorff b, David I Quinn b, Siamak Daneshmand a,*
PMCID: PMC7474471  NIHMSID: NIHMS1623357  PMID: 30470611

Abstract

Introduction and Objectives:

We previously reported that elevated precystectomy serum levels of epithelial tumor markers predict worse oncological outcome in patients with invasive bladder cancer (BC). Herein, we evaluated the effect of neoadjuvant chemotherapy (NAC) on elevated tumor marker levels and their association with oncological outcomes.

Methods:

Under IRB approval, serum levels of Carbohydrate Antigen 125 (CA-125), Carbohydrate Antigen 19-9 (CA 19-9) and Carcinoembryonic Antigen (CEA) were prospectively measured in 480 patients with invasive BC from August 2011 through December 2016. In the subgroup undergoing NAC, markers were measured prior to the first and after the last cycle of chemotherapy (prior to cystectomy).

Results:

Three hundred and thirty-seven patients were eligible for the study, with a median age was 71 years (range 34–93) and 81% (272) male. Elevated precystectomy level of any tumor markers (31% of patients) was independently associated with worse recurrence-free survival (hazard ratio [HR] = 2.81; P < 0.001) and overall survival (HR = 3.97; P < 0.001). One hundred and twenty-five (37%) patients underwent NAC, of whom 59 had a complete tumor marker profile and 30 (51%) had an elevated pre-NAC tumor marker. Following completion of chemotherapy, 10/30 (33%) patients normalized their tumor markers, while 20/30 (67%) had one or more persistently elevated markers. There was no difference in clinical or pathological stage between groups (P = 0.54 and P = 0.09, respectively). Further analysis showed a significantly lower rate and longer median time to recurrence/progression in the responder group (50% in responders vs. 90% in nonresponders at a median time of 22 vs. 4.8 months, respectively; P = 0.015). There was also significant difference in mortality rates and median overall survival between the study groups (30% in responders vs. 70% in nonresponders at a median time of 27.3 vs. 11.6 months respectively; P = 0.037). Two of the three patients that died in the normalized tumor marker group had tumor marker relapse at recurrence prior to their death.

Conclusions:

To our knowledge, this is the first study showing tumor marker response to NAC. Patients with persistently elevated markers following NAC have a very poor prognosis following cystectomy, which may help identifying chemotherapy-resistant tumors. A larger, controlled study with longer follow up is needed to determine their role in predicting survival.

Keywords: Bladder cancer, Tumor markers, Neoadjuvant chemotherapy, Oncological outcomes, Prognosis

1. Introduction

With an incidence of 79,000 new cases per year, bladder cancer (BC) is estimated to cause over 16,000 deaths annually in the US [1]. Approximately 25% to 30% of diagnosed patients have muscle-invasive bladder cancer (MIBC), for which neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC) and pelvic lymph node dissection is still considered standard of care [2,3]. Despite this aggressive treatment, nearly one-third of patients have recurrence and subsequent high likelihood of death from disease within five years [3]. This is in large part due to pathologic upstaging to extra-vesical/lymph node-positive disease in approximately 40% of patients, reflecting the current inaccuracy of clinical staging [3]. Therefore, much emphasis has been placed on studying predictors of recurrence and outcome in order to better prognosticate for our patients and direct management of this aggressive disease.

By comparing transurethral resection of bladder tumor (TURBT) specimen with RC pathology, nonresponse to NAC as well as progression on NAC have been associated with inferior survival [4,5]. Thus, just as it is important to find predictors of recurrence and survival, markers of NAC response could also inform patient management and prognostication.

Carbohydrate antigens (CAs) and cellular adhesion molecules (CAMs) (such as CEA) are commonly used serum tumor markers (TM) and have been implicated in epithelial invasion and immune system evasion during malignant transformation of epithelial cells and tumor progression [68]. The markers have clinical utility in several surgical subspecialties, including for the detection of early recurrence, and more recently, for evaluation of preoperative chemotherapy response [911]. To date, few series have been published on the prognostic role of these markers in invasive BC, with small case numbers and conflicting results [1216]. We previously demonstrated that elevated precystectomy serum levels of carbohydrate antigen 19-9 (CA 19-9) and carcinoembryonic antigen (CEA) are associated with worse oncological outcome in patients with invasive BC [17]. No studies to date have evaluated the effect of NAC for invasive bladder cancer on these markers.

Therefore, our objectives in this study were to evaluate the effect of NAC on elevated serum tumor marker levels in patients with BC and, second, to evaluate their association with oncological outcomes in patients in the setting of NAC. In doing so, we also examined the predictive role of elevated precystectomy serum levels of epithelial tumor markers on oncological outcome in a prospective fashion.

2. Materials and methods

2.1. Study population

Between August 2011 and December 2016, in this institutional review board–approved prospective single-center study from the Institute of Urology at the University of Southern California, we enrolled all 480 consecutive patients who underwent RC, pelvic lymph node dissection and urinary diversion for invasive BC. The diagnosis of BC was based on pathology from transurethral resection of the bladder tumor.

Exclusion criteria were any history of colon, pancreatic, and ovarian pathologies or those with moderate to severe hydronephrosis (which can lead to false elevation of CA 19-9). Those with nonbladder primary, inoperable disease, distant metastatic disease at diagnosis, incomplete tumor marker profile as well as those with insufficient or no follow-up were also excluded from the study.

2.2. Tumor markers

Serum levels of Carbohydrate Antigen 125 (CA-125), Carbohydrate Antigen 19-9 (CA 19-9) and Carcinoembryonic Antigen (CEA) were measured in all patients before surgery. In the subgroup undergoing NAC, markers were measured prior to the first and after the last cycle of chemotherapy (prior to cystectomy).

Measurements of these markers were performed by electro-chemiluminescent immunoassay method (Roche Cobas 6000 analyzer, Roche Diagnostics, IN). Reference cutoff points from our laboratory were used to define elevated values of the markers (CA 19-9: 0–37 U/ml; CA 125: 0–35 U/ml; and CEA: 0–3.8 ng/ml). Elevation of any of the three markers was classified as elevated marker status, while normal values of all three markers implied a normal profile.

2.3. Data collection, outcome measures, and analysis

Patients’ demographics and clinic-pathologic information were collected. Follow up data were obtained from regular clinic visits as well as outside sources where patients were followed outside our institution. Oncological outcomes including recurrence-free survival (RFS) and overall survival (OS) were used as outcome measures. We evaluated the association of tumor markers status and oncological outcomes at three different time points: precystectomy, pre-NAC and following NAC (Fig. 1).

Fig. 1.

Fig. 1.

Flow diagram of the tumor marker cohort of 337 invasive bladder cancer patients.

The chi-square test and Student t test were used to compare categorical and continuous variables, respectively. Kaplan-Meier (KM) curves were delineated for the survival analysis, with log-rank test to detect the difference between the curves. Multivariable (MVA) Cox regression analysis was used to identify independent predictors of RFS and OS. Data were analyzed using SAS (version 9, SAS Institute Inc, Cary, NC), and 2-sided P < 0.05 was considered statistically significant.

3. Results

3.1. Cohort characteristics

Of 480 patients with invasive BC, a total of 337 patients were eligible for the study. Excluded from the study were those with nonbladder primary (5), inoperable disease (5), metastatic disease (13), and those who refused to consent (13) or were missing complete tumor marker evaluation (54). Moreover, 53 patients were excluded from the study due to more recent surgery and insufficient oncologic follow-up. Four patients had concomitant malignancy, including lymphoma, adenocarcinoma of uterus, carcinoid tumor and small-cell tumor of Meckel’s diverticulum; these were not excluded due to noninterference with our TM profile. (Fig. 1)

Median age of the cohort was 71 years (range 34-93) and 81% (309) were male. Two hundred and fifty-four (65%) patients had organ-confined disease while 137 (35%) had extravesical disease. Demographic and clinic-pathologic data is shown in Table 1. Table 2 also shows clinic-pathologic characteristics of the subgroup who received neoadjuvant chemotherapy.

Table 1.

Clinical and pathological characteristics of 337 patients with invasive bladder cancer eligible for tumor marker study.

N = 337 No (%)
Median age (year-range) 71 (34–93)
 < 70 144 (43)
 > =70 193 (57)
Gender
 Male 272 (81)
 Female 65 (19)
Mean BMI (kg/m2) 27 ± 4.7
Median Charlson comorbidity index 1.0
Clinical stage
 T stage: T0 5 (1)
  Tis 26 (8)
  Ta 9 (3)
  T1 73 (22)
  T2 138 (41)
  T3 59 (18)
  T4 24 (7)
 N stage: N0 304 (90)
  N1 12 (4)
  N2 17 (5)
  N3 2 (0.5)
  Nx 2 (0.5)
 N stage: M0 334 (99)
  M1 2 (0.5)
  Mx 1 (0.5)
Neoadjuvant chemotherapy 125 (37)
  Gemcitabine/Cisplatin 72 (58)
  Dose-dense MVAC 25 (20)
  others 28 (22)
Diversion type
  Orthotopic 206 (61)
  Continent cutaneous 19 (6)
  Ileal conduit 112 (33)
Pathological stage:
 T stage: T0 52 (15)
  Tis/Ta 54 (16)
  T1 53 (16)
  T2 58 (17)
  T3 68 (20)
  T4 52 (13)
 N stage: N0 259 (77)
  N1 26 (8)
  N2 45 (13)
  N3 7 (2)
 M stage: M0 326 (97)
  M1 11 (3)
  Pathologic cell-type
  Urothelial 328 (97)
  Squamous 6 (2)
  Adeno 1 (<1)
  Sarcoma 3 (1)
Lymphovascular invasion 99 (29)
Adjuvant chemotherapy 38 (11)

Table 2.

Clinical and pathological characteristics of 125 patients with invasive bladder cancer with neoadjuvant chemotherapy (NAC) and 59 patients with elevated pre-NAC markers

N (%) NAC total N = 125 NAC TM nl N = 29 NAC TM high N = 30
Clinical T stage
 Tis/Ta 2 (2)* 1 (3) 1 (3)
 T1 7 (6)** 1 (3) 0 (0)
 T2 57 (46) 13 (45) 5 (17)
 T3 41 (33) 9 (31) 13 (43)
 T4 16 (13) 5 (18) 11 (37)
Clinical N stage
 N0 99 (79) 26 (90) 20 (66)
 N1 9 (7) 1 (3) 2 (7)
 N2 15 (12) 2 (7) 6 (20)
 N3 2 (2) 0 (0) 2 (7)
Pathologic T stage
 T0 30 (24) 5 (17) 5 (17)
 Tis/Ta 19 (15) 9 (31) 0 (0)
 T1 15 (12) 3 (10) 1 (4)
 T2 17(14) 6 (21) 2 (7)
 T3 20 (16) 2 (7) 10 (34)
 T4 24 (19) 4 (14) 11 (38)
Pathologic N stage
 N0 87 (70) 22 (76) 15 (50)
 N1 9 (7) 2 (6) 2 (6)
 N2 25 (20) 4 (14) 10 (34)
 N3 4 (3) 1 (4) 3 (10)
Pathologic M stage
 M0 114 (91) 26 (87) 22 (73)
 M1 11 (8) 3 (13) 8 (27)
*

One patient received NAC due to involvement of prostatic urethra; Other one participated in a trial of chemo-radiation for Cis.

**

Three patients were node-positive; one had prostatic urethral involvement; and the other three received NAC at discussion of outside oncologist.

3.2. Tumor marker results

Mean precystectomy levels of CA 125, CA 19-9 and CEA were 20 U/ml (range 1.6–563), 32.8 U/ml (range 0.1–1510) and 5.3 U/ml (range 0.2–611), respectively. One hundred and six (31.5%) patients had at least one abnormal precystectomy tumor marker level, including 24 (7%) for CA 125, 48 (15%) for CA 19-9 and 69 (21%) for CEA.

Of 125 (37%) patients underwent NAC, 59 had a complete tumor marker profile before and after therapy and 30 (51%) had one or more elevated pre-NAC tumor markers. Mean levels of CA 125, CA 19-9 and CEA before NAC were 82.7, 333, 6 U/ml and the mean levels after chemotherapy were 43.3, 121, 7.6 U/ml, respectively.

Following completion of chemotherapy, 10/30 (33%) patients normalized tumor markers, while 20/30 (67%) had one or more persistently elevated marker. There was no significant difference in clinical or pathological stage between groups (P = 0.54 and P = 0.09, respectively). Within the normalized marker group, 8/10 (80%) had complete or partial clinical response and 5/10 (50%) had pathological down-staging, whereas of patients with persistently elevated markers, 9/20 (45%) had some clinical response and only 4/20 (20%) had pathological down-staging. Details of clinic-pathologic characteristics, tumor marker course and oncological outcomes of this subgroup are provided in Table 3.

Table 3.

Breakdown of subgroup undergoing neoadjuvant chemotherapy with available tumor markers, in terms of clinical and biomarker response and oncological outcome

Number NAC regimen Clinical stage Pathological stage Clinical response to neoadjuvant Preneoadjuvant* Postneoadjuvant (30 d) Biomarker response Survival status OS days Recurrence status RFS days
CA 125 CA 19–9 CEA CA 125 CA 19–9 CEA
1 GemCis T3b T4aN0M1 Yes 17.2 41.1 0.8 16.6 12.6 0.7 Y Alive 396 Recur/Progress 379
2 DDMVAC T3a T2bN0M0 No 19.2 309.0 2.6 3.9 10.7 1.8 Y Alive 631 NED 631
3 GemCis T2a T0N0M0 Yes 162.3 290.8 2.7 12.1 10.5 2.6 Y Alive 657 Recurrence 624
4 GemCis T3b T3aN2M0 Yes 135.3 0.6 8.7 22.0 0.6 1.1 Y Alive 407 NED 407
5 DDMVAC T2a T0N3M0 Yes 29.7 119.7 1.5 15.5 26.6 2.1 Y Alive 680 NED 680
6 GemCis T3b T0N0M0 Yes 13.3 9.0 16.1 5.4 3.5 2.5 Y Alive 661 NED 661
7 GemCis T3b T0N0M0 Yes 82.0 196.0 3.4 9.7 10.5 0.7 Y DOD§ 458 Recurrence 132
8 DDMVAC T3a TisN0M0 Yes 10.7 137.0 1.7 17.8 37.0 2.8 Y Alive 1062 NED 1062
9 GemCis; Taxol T2a T3bN2M1 Yes: Bladder, PLNs No: Bone mets 8.1 89.2 0.5 5.3 16.6 0.9 Y DOD 302 Recur/Progress 101
10 DDMVAC T4a T4aN2M1 No 84.5 <0.6 1.9 15.5 <0.6 1.3 Y DOD 212 Recur/Progress 145
11 GemCis; MVAC T4b T4bNXM1 Yes 106.4 1238.0 6.6 59.7 34.7 0.8 N DOD 152 Recur/Progress 73
12 GemCis; Carbo T4a T4aN2M0 No-progressed 138.0 61.1 3.8 494.2 587.1 4.0 N DOD 43 Recur/Progress 43
13 ddMVAC T3b T3aNxM1 Yes: Bladder No: PLNs 3.8 203.1 4.9 2.0 184.7 6.0 N DOD 58 Recur/Progress 58
14 GemCis T2a T3aN0M0 No progress 16.1 35.9 11.0 15.7 38.4 5.5 N DOD 190 Recurrence 120
15 Cisplatin T2a T3aN0M0 Yes 8.5 108.1 5.7 14.0 14.8 5.8 N Alive 529 Recurrence 222
16 GemCis T3b T3bN2M0 No 10.5 28.4 4.1 10.9 17.8 4.6 N Dead 41 NED 41
17 GemCis T4a T1N0M0 No progress 51.7 1.0 5.2 41.7 0.6 3.5 N Alive 834 Recurrence 631
18 GemCis; Carbo T4a T3bN1M1 Yes- Lung mets No: Bladder 23.8 31.9 4.2 63.8 33.2 10.0 N DOD 187 Recur/Progress 36
19 DDMVAC T3b T4bNXM0 No 334.4 267.1 2.5 103.1 19.3 1.8 N Alive 591 Recur/Progress 148
20 GemCis T3b T0N0M0 Yes 8.0 64.8 6.2 8.8 57.9 5.3 N Dead 333 Recurrence 65
21 GemCis T4 T4bN0M0 No 26.7 207.7 5.7 14.9 160.8 3.7 N DOD 124 Recur/Progress 56
22 DDMVAC T4 T4aN2M0 Yes 745.5 4235.0 31.3 4523.0 29410.0 958.1 N DOD 145 Recur/Progress 139
23 GemCis T4a T3bN2M1 No 27.8 51.1 3.0 66.5 25.6 3.9 N DOD 123 Recur/Progress 123
24 GemCis; Taxol T4b T4bN2M1 No 15.0 < 0.6 12.4 12.0 < 0.6 27.9 N DOD 729 Recur/Progress 102
25 GemCis T3b T4aN2M0 No 41.0 177.7 5.0 45.0 1510.0 87.7 N Dead 0 - -
26 GemCis T3b T2aN3M0 Yes 12.2 369.0 2.2 13.2 39.3 1.5 N DOD 185 Recurrence 140
27 GemCis T3b T3bN3M0 Yes 23.9 66.2 4.4 15.1 92.1 6.7 N Alive 106 Recurrence 43
28 DDMVAC T3b T3aN0M0 Yes 12.0 46.4 2.7 28.0 65.5 4.6 N Alive 448 NED 448
29 GemCis T4a T4aN1M0 No 80.7 390.2 12.2 78.8 239.8 14.2 N Dead 534 Recurrence 31
30 GemCis;Carbo T4a T4aN1M0 No 11.2 21.6 6.3 18.6 37.2 1.4 N Alive 230 Recur/Progress 126
*

Normal values are as follows: CA 125 < 35 u/mL, CA 19-9 < 37 u/mL, CEA > 3.8 u/mL.

§

DOD, dead of disease;

NED: No Evidence of Disease; GemCis: Gemcitabin-Cisplatin; Carbo: Carboplatin.

3.3. Oncological outcome with regard to precystectomy marker levels

Median follow up was 631 days (IQR 162–1156 days). Overall, there were 80 recurrences (40 in normal TM and 40 in elevated TM group) and 66 deaths in the entire cohort (29 in normal TM and 37 in elevated group) during the follow up period. Survival analysis showed that elevated precystectomy level of any tumor marker (31% of patients) was associated with worse RFS (HR = 2.81; P < 0.001) and OS (HR = 3.97; P < 0.001). Kaplan-Meier curves reflecting this are shown in Fig. 2. MVA using Cox-regression modeling revealed that this effect is independent after controlling for age, gender, clinical or pathological stage, NAC (any regimen) and histologic cell type for both RFS (HR= 1.80; confidence interval [CI] 1.13-2.87; P = 0.01) and OS (HR = 2.40; CI 1.44-3.98; P < 0.001) (Table 4)

Fig. 2.

Fig. 2.

Kaplan-Meier survival curves for (A) recurrence-free survival and (B) overall survival in patients with invasive bladder cancer with respect to precystectomy triple tumor marker status.

Table 4.

Multivariable Cox regression analysis for prediction of recurrence-free survival and overall survival by elevated precystectomy epithelial tumor markers in 337 patients with invasive bladder cancer

Recurence-free survival
Overall survival
parameter HR 95% CI P value HR 95% CI P value
Abnormal tumor markers 1.72 1.08–2.73 0.02 2.40 1.44–3.98 < 0.001
Age 0.98 0.96–1.00  0.1 1.02 0.99–1.05  0.06
Sex 0.81 0.46–1.41  0.46 1.09 0.59–1.97  0.78
Neoadjuvant chemotherapy (any regimen) 1.27 0.79–2.05  0.31 1.43 0.86–2.39  0.16
Pathological stage (OC vs EV/LP)* 10.31 5.54–19.17 < 0.001 6.34 3.37–11.94 < 0.001
Histologic cell type 1.68 0.76–3.71  0.19 0.73 0.21–2.46  0.61
*

CI, confidence interval; EV, extra-vesical; HR, hazard ratio; LP, lymph node positive; OC, organ-confined.

With regards to individual levels of precystectomy tumor markers, we found significant associations between each marker and the oncological outcomes. This included association between elevated precystectomy levels of CA 125 and worse RFS (P < 0.001) or OS (P = 0.002), elevated CA 19-9 and RFS (P < 0.001) or OS (P < 0.001), as well as elevated CEA with worse RFS (P = 0.013) or OS though (P < 0.001) (KM curves in supplemental material).

3.4. Oncological outcome regarding pre-NAC marker levels

Survival analysis comparing patients with normal and elevated pre-NAC tumor marker levels showed that elevated pre-NAC level of any tumor marker (51% of patients) was associated with worse 2 year RFS (68% in normal group vs. 18% in elevated; P < 0.001) and OS (72% in normal group vs. 27% in elevated group; P = 0.009) (Fig. 3).

Fig. 3.

Fig. 3.

Survival curves for (A) recurrence-free survival and (B) overall survival comparing normal vs. elevated pre-neoadjuvant tumor marker groups.

There were also significant associations between elevated pre-NAC individual levels of CA 125 and worse RFS (P = 0.04) or OS (P = 0.05) as well as elevated CA 19-9 and RFS (P = 0.02) or OS (P = 0.03). Elevated CEA was not associated with worse RFS (P = 0.27) or OS though (P = 0.14) (KM curves not shown).

3.5. Effect of tumor marker response to NAC on oncological outcomes

There was a significantly lower rate and longer median time to recurrence/progression in the responder group (50% in responders vs. 90% in nonresponders at a median time of 22 vs. 4.8 months respectively; P = 0.015). There was also a significant difference in mortality rate and median overall survival between the groups (30% in responders vs. 70% in nonresponders at a median time of 27.3 vs. 11.6 months respectively; P = 0.037). Kaplan-Meier curves are shown in Fig. 4. Notably, two of the three patients that died in the normalized tumor marker group had tumor marker relapse at recurrence prior to their death.

Fig. 4.

Fig. 4.

Survival curves for (A) recurrence-free survival and (B) overall survival for tumor marker-response groups after neoadjuvant chemotherapy.

4. Discussion

The potential clinical utility of CAs and CAMs has been reported across human malignancies but remains a relatively new topic in invasive BC. There is a breadth of evidence supporting the prognostic role of these tumor markers in various malignancies. For example, lower levels of CA 19-9 and CEA have been associated with better survival or response to chemotherapy in advanced pancreatic cancer and colorectal cancer, respectively [18,19]. In several pancreatic cancer cohorts, serum CA 19-9 has been prognostic for overall survival [10,18]. It has also been validated in randomized controlled trials as a postoperative prognostic marker for OS [20]. Another study showed that CEA is an efficient way to detect postoperative recurrence of colorectal surgery [21]. Serial measurement of serum levels of CA 125 is recommended for detecting early recurrence of ovarian cancer, although it is not recommended for initial screening [9]. The utility of these markers was expanded to organ-confined bladder cancer by Mergel et al. in 2007 [14]. We previously showed that elevated precystectomy serum CA 19-9 and CEA levels are associated with worse oncological outcome in invasive UBC [17]. Other, smaller studies corroborate these findings [22,23]. In this prospective study, we confirmed through multivariable analysis that elevated precystectomy serum tumor markers are independently associated with worse RFS and OS. Herein we also report the first prospective study of CA 19-9, CA 125, and CEA in patients with invasive UBC undergoing NAC.

NAC has become standard of care in the management of invasive UBC, and adoption of NAC protocols has led to an increase in its utilization, and improved survival [2,5,24,25]. Furthermore, among nonresponders, those with stable disease have better OS and RFS than those who progress on NAC [4]. Thus, given the range and lack of reliable clinical criteria of NAC response, there is a clear role for markers such as serum CAs and CAMs to predict response (or lack thereof) and oncological outcomes.

There is a paucity of literature on the prognostic value of epithelial tumor marker kinetics during chemotherapy, and most data come from nonbladder malignancies like cholangiocarcinoma, ovarian and colorectal cancer [10,11,26,27]. Lee et al. showed in 2016 that among various prognostic factors for patients with advanced epithelial ovarian cancer undergoing chemotherapy, serum levels of CA 125 following the first chemotherapy cycle and time to normalization were the most important for both OS and PFS [28]. Rodriguez et al. showed that epithelial ovarian cancer patients whose CA 125 levels decreased following NAC were very likely to be cyto-reduced by surgery [29]. Our study is unique in that we are the first to examine this relationship between tumor markers and NAC in bladder cancer patients.

We demonstrated that CA 19-9, CA 125, and CEA normalized in approximately one third of patients following NAC. Patients whose markers normalized had a significantly lower rate and longer median time to recurrence/progression. Furthermore, mortality and median overall survival was significantly better in patients with marker normalization. Notably, there was no significant difference in clinical or pathological stage between responders versus nonresponders. We integrated all NAC regimens (GemCis, ddMVAC, others) into our MVA model to determine whether it affects the prognostic role of precystectomy tumor markers on oncological outcomes. The effect was independent from NAC itself and different NAC regimens (data not shown). We also included all histologic types and variants in the multivariable model, which showed no significant differences. This may imply that epithelial tumor markers can be used across histologic subtypes.

We showed that patients with elevated markers prior to NAC have worse oncological outcome. This significant difference may imply that those with elevated markers were less likely to respond to chemotherapy, which also shows another useful aspect of these markers.

We also compared clinical response to NAC with the biomarker response. A study comparing WHO criteria, RECIST criteria, and a computerized 3D-modeling failed to show any significant difference in treatment response assessment, with most area-under-curves between 0.60s and 0.70s, which is not remarkable [30]. Table 3 shows multiple patients (for example #11, 20, 22, 26) who were clinical responders to NAC, but whose tumor markers failed to respond. All four patients recurred shortly after surgery and died. In practice, patients are not restaged clinically following NAC as imaging is not a very reliable source of staging. Many investigations are currently underway to predict response to neoadjuvant chemotherapy using genomics, however these tumor markers are currently a simple tool that represent a phenotype of this disease. However, due to small case number of the NAC cohort, we cannot reliably rule out collinearity between clinical and marker responses. For example, five out of seven patients who down-staged to < T2 after NAC in the same table, were among TM responders.

Our results suggest that the ability of serum tumor markers to predict oncological outcome is applicable to patients in the setting of NAC as suggested by their association with recurrence/progression, mortality rate, and median overall survival. Furthermore, serum tumor markers are easily obtainable and relatively inexpensive. Thus, pending further study, markers such as CA 19-9, CA 125, and CEA could easily be adopted into clinical practice.

Our study is not without limitations. First, besides having one of the largest prospectively collected precystectomy tumor marker cohorts, we are limited by a relatively small NAC sample size and by the fact that not all patients had serum tumor markers drawn both before and after receiving NAC. We acknowledge the possible selection bias in reporting on only those patients that had tumor marker response results. In addition, markers obtained during NAC course were rarely available. Such interim data would be valuable for assessing chemo-responsiveness, i.e. whether the markers can be predictive of NAC response early in the course of neoadjuvant treatment. In summary, a larger, multi-institutional effort with controls should be undertaken in order to confirm the findings of our study.

5. Conclusion

To our knowledge, this is the first study showing tumor marker response to NAC. Patients with persistently elevated markers following NAC have a very poor prognosis following cystectomy, which may help identifying chemotherapy-resistant tumors. A larger, controlled study with longer follow up is needed to determine their role in predicting survival.

Supplementary Material

SM

Abbreviations:

TM

tumor markers

RC

radical cystectomy

UBC

urothelial bladder cancer

BC

bladder cancer

TURBT

transurethral resection of bladder tumor

NAC

neoadjuvant chemotherapy

CAMs

cellular adhesion molecules

CA 125

carbohydrate antigen 125

CA 19-9

carbohydrate antigen 19-9

CEA

carcinoembryonic antigen

Footnotes

Conflict of interest: None

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.urolonc.2018.09.008.

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