Literature DB >> 34046347

Three vs. Four Cycles of Neoadjuvant Chemotherapy for Localized Muscle Invasive Bladder Cancer Undergoing Radical Cystectomy: A Retrospective Multi-Institutional Analysis.

Matteo Ferro1, Ottavio de Cobelli1,2, Gennaro Musi1, Giuseppe Lucarelli3, Daniela Terracciano4, Daniela Pacella5, Tommaso Muto4, Angelo Porreca6, Gian Maria Busetto7, Francesco Del Giudice8, Francesco Soria9, Paolo Gontero9, Francesco Cantiello10, Rocco Damiano10, Fabio Crocerossa10, Abdal Rahman Abu Farhan10, Riccardo Autorino11, Mihai Dorin Vartolomei12,13, Matteo Muto14, Michele Marchioni15, Andrea Mari16, Luca Scafuri17, Andrea Minervini16, Nicola Longo18, Francesco Chiancone19, Sisto Perdona20, Pietro De Placido17, Antonio Verde17, Michele Catellani1, Stefano Luzzago1, Francesco Alessandro Mistretta1, Pasquale Ditonno3, Vincenzo Francesco Caputo18, Michele Battaglia3, Stefania Zamboni21, Alessandro Antonelli21,22, Francesco Greco23, Giorgio Ivan Russo24, Rodolfo Hurle25, Nicolae Crisan26, Matteo Manfredi27, Francesco Porpiglia27, Giuseppe Di Lorenzo28,29, Felice Crocetto18, Carlo Buonerba30,31.   

Abstract

BACKGROUND: Three or four cycles of cisplatin-based chemotherapy is the standard neoadjuvant treatment prior to cystectomy in patients with muscle-invasive bladder cancer. Although NCCN guidelines recommend 4 cycles of cisplatin-gemcitabine, three cycles are also commonly administered in clinical practice. In this multicenter retrospective study, we assessed a large and homogenous cohort of patients with urothelial bladder cancer (UBC) treated with three or four cycles of neoadjuvant cisplatin-gemcitabine followed by radical cystectomy, in order to explore whether three vs. four cycles were associated with different outcomes.
METHODS: Patients with histologically confirmed muscle-invasive UBC included in this retrospective study had to be treated with either 3 (cohort A) or 4 (cohort B) cycles of cisplatin-gemcitabine as neoadjuvant therapy before undergoing radical cystectomy with lymphadenectomy. Outcomes including pathologic downstaging to non-muscle invasive disease, pathologic complete response (defined as absence of disease -ypT0), overall- and cancer-specific- survival as well as time to recurrence were compared between cohorts A vs. B.
RESULTS: A total of 219 patients treated at 14 different high-volume Institutions were included in this retrospective study. Patients who received 3 (cohort A) vs. 4 (cohort B) cycles of neoadjuvant cisplatin-gemcitabine were 160 (73,1%) vs. 59 (26,9%).At univariate analysis, the number of neoadjuvant cycles was not associated with either pathologic complete response, pathologic downstaging, time to recurrence, cancer specific, and overall survival. Of note, patients in cohort B vs. A showed a worse non-cancer specific overall survival at univariate analysis (HR= 2.53; 95 CI= 1.05 - 6.10; p=0.046), although this finding was not confirmed at multivariate analysis.
CONCLUSIONS: Our findings suggest that 3 cycles of cisplatin-gemcitabine may be equally effective, with less long-term toxicity, compared to 4 cycles in the neoadjuvant setting.
Copyright © 2021 Ferro, de Cobelli, Musi, Lucarelli, Terracciano, Pacella, Muto, Porreca, Busetto, Del Giudice, Soria, Gontero, Cantiello, Damiano, Crocerossa, Farhan, Autorino, Vartolomei, Muto, Marchioni, Mari, Scafuri, Minervini, Longo, Chiancone, Perdona, De Placido, Verde, Catellani, Luzzago, Mistretta, Ditonno, Caputo, Battaglia, Zamboni, Antonelli, Greco, Russo, Hurle, Crisan, Manfredi, Porpiglia, Di Lorenzo, Crocetto and Buonerba.

Entities:  

Keywords:  bladder cancer; cisplatin-based chemotherapy; neoadjuvant chemotherapy; observational study; radical cystectomy

Year:  2021        PMID: 34046347      PMCID: PMC8144638          DOI: 10.3389/fonc.2021.651745

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


Introduction

Bladder cancer represents approximately 3% of cancer diagnoses in the world, with a 4-time higher prevalence in males vs. females and >90% of cases diagnosed in individuals older than 55 years of age (1). Age-standardized incidence rates of approximately 20 cases per 100,000 per year in males and  4.5 cases per 100,000 per year in females are reported in Europe and North America (2), with certain areas of Italy showing remarkably higher rates [e.g. in the province of Naples, Italy, an age-standardized incidence rate of 75.3 and 16.3 cases per 100,0000 per year in males and females, respectively, has been reported (3)]. While chemotherapy agents such as mitomycin and gemcitabine (4) can be used for intravesical therapy against non-invasive bladder cancer, intravesical BCG represents the standard therapy for patients with T1 disease (5), and cystectomy (6–8), with or without perioperative chemotherapy (9), is recommended for muscle-invasive, localized bladder cancer (10). Advances in the field of peri-operative systemic therapy of muscle-invasive bladder cancer have been scarce over the past 20 years. Neoadjuvant chemotherapy regimens based on methotrexate, vinblastine, doxorubicin cisplatin or cisplatin-gemcitabine were associated with an absolute increase in 5-year survival of 8% in patients with muscle invasive-bladder cancer (9). Although neoadjuvant cisplatin-based chemotherapy is currently recommended by NCCN (10) and EAU (11) guidelines in patients with muscle-invasive UBC, the optimal chemotherapy schedule and number of cycles remain to be established. According to NCCN guidelines, dose-dense methotrexate, vinblastine, doxorubicin, cisplatin combination can be administered for 3 or 4 cycles, while cisplatin, methotrexate and vinblastine combination is administered for 3 cycles. Four cycles of gemcitabine and cisplatin represent a viable option in the perioperative setting, on the grounds of the results obtained in a large randomized phase III trial (12)and of retrospective case series (13). Nevertheless, the optimal number of cycles of cisplatin-gemcitabine remains therefore to be determined, given the lack of comparative studies specifically designed to assess optimal number of cycles. In this multicenter retrospective study, we assessed a large and homogenous cohort of patients with histologically confirmed urothelial bladder cancer (UBC) treated with 3 vs. 4 neoadjuvant cisplatin-based chemotherapy followed by radical cystectomy, to explore potential differences in outcomes in terms of cancer specific-, non-cancer specific, overall- survival, time to recurrence and pathologic response and downstaging rates.

Patients and Methods

Patients

All patients with UBC treated with neoadjuvant chemotherapy at the participating Institutions from January 2000 until January 2015 had to be assessed for inclusion in this retrospective study. Patients were included in this retrospective study if they had histologically confirmed muscle-invasive bladder cancer with predominant urothelial component and were treated with 3 or 4 cycles of cisplatin-gemcitabine (gemcitabine 1000-1250 mg/m2 on days 1 and 8, and cisplatin 70 mg/m2 on day 1, every 3 weeks) as neoadjuvant therapy before undergoing radical cystectomy with lymphadenectomy. Only patients with cT1-4N0M0 on whole body CT scan with and without contrast prior to chemotherapy start and with a follow-up after surgery longer than 36 months were included in this retrospective study. Follow-up was conducted with a whole CT scan with and without contrast every 3-6 months and additional tests (MRI, bone scan) if clinically indicated. Data about sex, age, ECOG performance status, Charlson Comorbidity index, previous number of cycles of cisplatin-based neoadjuvant therapy, hemoglobin, creatinine, absolute neutrophil and lymphocyte counts, total and HDL cholesterol, CRP, presence of histologically proven positive lymph-nodes, and cancer-specific survival (months) were required to have been measured within 14 days and be fully available for the patient to be included in this retrospective study. Date and cause of death were collected using death certificates and ISTAT (Italian National Institute of Statistics) cause of death records. These variables were considered as potentially prognostic and assessed for their association with cancer specific survival. Information regarding recurrence was extracted from medical charts. Retrospective observation started on the day of cystectomy until death or last follow-up.

Statistical Analysis

Descriptive statistics were used to describe the overall cohort with respect to the main demographical and clinical characteristics. Frequencies (percentages) were used for categorical variables, while medians (Q1; Q3), were used for quantitative variables. Associations between the number of cycles along with other potential predictive factors and the outcome variables downstaging and complete response were evaluated using univariate logistic regression models. Additionally, variables that presented a significant association in the univariate analysis were added to a multivariate logistic regression model. Time-to-event outcome variables were analyzed estimating survival curves with the Kaplan-Meier method and the difference between the curves was computed using log-rank test ( – ). The association of the number of cycles and other variables of potential interest with overall survival, cancer-specific survival and recurrence was conducted using univariate Cox regression. Factors that presented a p-value < 0.1 were added, along with the variable of interest (number of cycles), to a multivariate Cox regression model. The proportional hazard assumption was tested using the Schoenfeld residuals. For all analyses, a p-value < 0.05 was considered statistically significant. Analyses were performed using the statistical software R, version 4.0.3.
Figure 1

Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (overall survival).

Figure 4

Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (recurrence).

Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (overall survival). Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (cancer specific survival). Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (non-cancer survival). Kaplan-Meier curves with 95% CI (dashed lines). P-value computed with log-rank test (recurrence).

Results

Patients’ Baseline Characteristics

A total of 245 patients receiving neoadjuvant cisplatin-gemcitabine at 14 different high-volume Institutions were initially evaluated for inclusion in this retrospective study. After excluding 7 patients who received 6 cycles, 3 patients who received 1 cycle, 13 patients who received 2 cycles and 3 patients with missing data, a total of 219 patients receiving 3 or 4 cycles were included in this retrospective study. Patients who received 3 (cohort A) vs. 4 (cohort B) cycles of neoadjuvant cisplatin-gemcitabine were 160 (73,1%) vs. 59 (26,9%). In cohort A, 83.1% were males and median age was 66 (IQR = 59,000 to 72,00). In cohort B, median age was 66 years (IQR = 59,000 to 72,00), and 81.4% were males. Patients’ characteristics are detailed in .
Table 1

Characteristics of the study population.

Number of cycles of cisplatin-gemcitabinep-value
3 (COHORT A)4 (COHORT B)
Median (IQR range)Mean (SD)Median (IQR range)Mean (SD)
Age66 (59, 72)66 (10)66 (60, 74)67 (10)0.762
Basophils x103/µL0.03 (0.02, 0.05)0.05 (0.06)0.03 (0.01, 0.05)0.04 (0.05)0.283
Charlson index3.00 (2.00, 5.00)3.79 (2.11)2.00 (2.00, 3.00)2.73 (1.48) <0.001
Eosinophils x103/µL0.12 (0.08, 0.22)0.20 (0.27)0.13 (0.07, 0.21)0.28 (0.83)0.817
Lymphocytes x103/µL1.88 (1.50, 2.41)2.42 (2.91)1.81 (1.43, 2.41)2.17 (2.14)0.344
Monocytes x103/µL0.70 (0.45, 1.19)1.25 (1.48)0.72 (0.54, 1.04)1.14 (1.17)0.427
Neutrophils x103/µL4.39 (3.20, 5.74)6.10 (9.05)4.44 (3.42, 5.89)5.87 (9.06)0.725
NLR2.21 (1.59, 3.25)2.71 (1.66)2.30 (1.70, 3.75)2.87 (1.67)0.553
PCR (mg/L)8 (4, 13)10 (10)8 (5, 13)10 (8)0.929
Platelets x103/µL232 (190, 320)261 (104)253 (187, 334)260 (87)0.750
Preoperative PCR (mg/L)7 (3, 12)9 (7)5 (2, 8)6 (6) 0.033
Albumin (g/dl)3.90 (3.50, 4.21)3.84 (0.53)3.80 (3.40, 4.05)3.69 (0.49)0.065
BMI26.0 (23.0, 28.0)25.9 (3.6)25.1 (23.2, 28.6)25.9 (3.7)0.903
Creatinine (mg/dl)1.05 (0.87, 1.38)1.22 (0.70)0.97 (0.85, 1.23)1.08 (0.37)0.145
Fibrinogen level (mg/dl)2.58 (2.09, 4.25)3.24 (1.27)2.23 (2.04, 3.59)2.89 (1.07)0.119
HB (g/dl)12.85 (11.0, 14.4)15.34 (17.43)12.5 (11.25, 14.4)12.72 (1.94)0.938
HDL cholesterol (mg/dl)45 (36, 57)48 (14)55 (44, 64)52 (14) 0.035
Total cholesterol level (mg/dl)198 (175, 210)201 (37)203 (184, 230)206 (40)0.225
SED rate (mm/h)19 (8, 30)21 (16)15 (6, 23)17 (13)0.204
  Absolute Number % Absolute Number %
Gender
Males13383.1%4881.4%0.916
Females2716.9%1118.6%
ECOG Performance status
07949.4%4474.6% 0.007
16238.7%915.2%
2106.3%35.1%
342.5%11.7%
453.1%23.4%
Clinical T stage0.65
<=29559.7%3762.7%
>=36540.3%2237.3
Clinical N stage
0160100%59100%
Pathologic stage
Ta63.7%35.1%0.110
T1116.9%711.9%
T24025.0%610.2%
T34326.9%1627.1%
T4148.7%1118.6%
T03622.5%1322.0%
Tis106.3%35.1%
N011068.8%3966.1%0.073
N11911.9%46.8%
N21811.2%1118.6%
N353.1%58.5%
Nx85.0%00.0%

P-values computed with Student’s t test or Kruskal Wallis test as appropriate for continuous variables, and with Chi-square test or Fisher’s exact test as appropriate for categorical variables. Significant values are highlighted in bold. BMI, Body Mass Index; SED rate, Sedimentation rate.

Characteristics of the study population. P-values computed with Student’s t test or Kruskal Wallis test as appropriate for continuous variables, and with Chi-square test or Fisher’s exact test as appropriate for categorical variables. Significant values are highlighted in bold. BMI, Body Mass Index; SED rate, Sedimentation rate.

Outcomes

After a median follow-up of 76 months, median overall survival was not reached in cohort A, with 43 reported deaths (34 because of bladder cancer), while it was 110 months (95%CI: 81-120) in cohort B, with 24 reported deaths (15 because of bladder cancer). Median cancer-specific survival and time to recurrence were not reached in either cohort. Pathologic downstaging to non-muscle invasive disease was reported in 129 and 43 patients in cohort A and B, respectively. Complete pathologic response was reported in 36 (22.5%) and 13 (22.0%) patients in cohort A and B, respectively, while recurrence was reported in 46 (28.7%) vs. 17 (28.8%) patients in cohorts A vs. B, respectively. Three-year estimated OS probability was 89.8% (82.4-97.9) for cohort A compared to 94.4% (90.9-98.0) for cohort B. Three-year estimated cancer-specific survival probability was 96.3% (93.4-99.2) for cohort A compared to 93.2% (87.9-99.9) for cohort B. Three-year estimated OS probability was 92.4% (88.4-96.4) for those who did not have a complete response compared to 95.9% (90.5-100.0) for those who had a complete response. Three-year estimated recurrence-free survival probability was 71.3% (64.6-78.6) for cohort A compared to 71.2% (60.5-83.7) for cohort B. Three-year estimated non-cancer survival probability was 97.6% (95.0-100.0) for cohort A compared to 95.5% (89.5-100.0) for cohort B. Three-year estimated cancer-specific survival probability was 94.7% (91.4-98.1) for those who did not have a complete response compared to 98.0% (94.1-100.0) for those who had a complete response. Three-year estimated OS probability was 87.2% (78.2-97.3) for those who did not have downstaging compared to 94.8% (91.5-98.2) for those who had downstaging. Three-year estimated cancer-specific survival probability was 89.4% (81.0-98.6) for those who did not have downstaging compared to 97.1% (94.6-99.6) for those who had downstaging. Three-year estimated recurrence-free survival probability was 68.1% (56.0-82.8) for those who did not have downstaging compared to 72.1% (65.7-79.1) for those who had downstaging. Five-year estimated OS probability was 76.9% (70.4-83.9) for cohort A compared to 72.3% (61.3-85.4) for cohort B. Five-year estimated cancer-specific survival probability was 81.7% (75.6-88.2) for cohort A compared to 81.1% (71.2-92.5) for cohort B. Five-year estimated recurrence-free survival probability was 71.3% (64.6-78.6) for cohort A compared to 71.2% (60.5-83.7) for cohort B. Five-year estimated non-cancer survival probability was 92.4% (87.7-97.3) for cohort A compared to 87.1% (77.1-98.4) for cohort B. Five-year estimated OS probability was 72.1% (65.5-79.5) for those who did not have a complete response compared to 88.4% (79.2-98.6) for those who had a complete response. Five-year estimated cancer-specific survival probability was 77.7% (71.5-84.6) for those who did not have a complete response compared to 95.2% (88.9-100.0) for those who had a complete response. Five-year estimated recurrence-free survival probability was 71.8% (65.3-78.9) for those who did not have a complete response compared to 69.4% (57.6-83.6) for those who had a complete response. Five-year estimated OS probability was 69.7% (57.6-84.3) for those who did not have downstaging compared to 77.2% (70.1-84.1) for those who had downstaging. Five-year estimated cancer-specific survival probability was 73.6% (61.8-87.7) for those who did not have downstaging compared to 83.6% (77.8-89.7) for those who had downstaging. Five-year estimated recurrence-free survival probability was 68.1% (56.0-82.8) for those who did not have downstaging compared to 72.1% (65.7-79.1) for those who had downstaging.

Univariate and Multivariate Analysis

At univariate analysis ( – ), the number of neoadjuvant cycles was not associated with either pathologic complete response, pathologic downstaging, time to recurrence, cancer specific, and overall survival. Of note, patients in cohort B vs. A showed a worse non-cancer specific overall survival at univariate analysis (HR= 2.53; 95 CI= 1.05- 6.10; p=0.046), although this finding was not confirmed at multivariate analysis.
Table 7

Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of time to recurrence.

VariableTime to Recurrence
UnivariateMultivariate
HR95% CIp-valueaHR95% CIp-value
Number of cycles
 3 ReferenceReferenceReferenceReference
 4 1.000.57, 1.740.9961.130.63, 2.010.681
Clinical T stage
 <=2 ReferenceReference
 >=3 1.110.68, 1.830.676
Sex
 Male ReferenceReference
 Female 1.120.60, 2.110.722
Age1.010.98, 1.030.604
Ecog1.260.99, 1.590.0781.230.96, 1.570.095
Charlson index1.010.89, 1.150.830
HB (g/dl)0.970.91, 1.030.123
Creatinine (mg/dl)0.890.57, 1.380.569
PCR (mg/L)0.990.96, 1.020.506
VES (mm/h)1.000.98, 1.020.924
NLR1.040.90, 1.200.610
Neutrophils x10^3/µL0.970.92, 1.030.184
Lymphocytes x10^3/µL0.880.70, 1.110.131
Monocytes x10^3/µL0.990.83, 1.180.909
Eosinophils x10^3/µL0.660.24, 1.830.310
Basophils x10^3/µL14.30.27, 7610.215
Platelets1.331.07, 1.66 0.015 1.311.05, 1.63 0.016
Albumin (g/dl)1.000.63, 1.580.986
BMI1.000.94, 1.070.982
Total cholesterol level (mg/dl)1.001.00, 1.010.596
HDL (mg/dl)0.990.97, 1.010.354
Fibrinogen level (mg/dl)1.100.90, 1.330.353
Preoperative PCR (mg/L)1.000.97, 1.040.933

P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold.

Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of downstaging. P-values and OR are computed with single and multiple logistic regression. Significant values are highlighted in bold. Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of complete response. P-values and OR are computed with single and multiple logistic regression. Significant values are highlighted in bold. Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of overall survival. P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold. Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of cancer-specific survival. P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold. Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of non-cancer specific survival. P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold. Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of time to recurrence. P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold. At multivariate analysis ( – ), Erythrocyte Sedimentation Rate was associated with complete pathologic response (p=0.084; HR=0,98; 95% CI: 0,95 to 1,00), NLR was associated with overall survival (p= 0,040; HR=1,16; 95% CI: 1,01 to 1,34), preoperative total cholesterol was associated with cancer-specific survival (p= 0,001; HR=1,02; 95% CI: 1,01 to 1,02), preoperative fibrinogen was associated with non-cancer specific survival (HR=0.50; 95% CI= 0.29 to 0.87; p=0.014), platelet count was associated with time to recurrence (p=0,016; HR=1,00; 95% CI: 1,00 to 1,00).

Discussion

Neo-adjuvant chemotherapy based on cisplatin has represented the standard of care in patients with T2-T4 UBC for the past two decades (14), although the optimal schedule and number of cycles to administer remain to be determined (9). In a landmark meta-analysis (9) that analyzed data collected in 15 randomized trials enrolling a total of 3,285 patients neoadjuvant regimens based on cisplatin alone were not associated with any survival benefit, which was only provided by cisplatin-containing regimens including cisplatin-gemcitabine or MVAC ‐like chemotherapy (HR, 0.82; 95% CI, 0.74–0.91; p <.001; p = .99 for heterogeneity, I2 = 0%). This meta-analysis did not identify any differences in outcomes associated with GC vs. MVAC. Data collected from 12 trials of 1,734 patients, including 1,067 patients receiving gemcitabine-cisplatin and 667 patients receiving MVAC, showed that pCR was 25.7% in patients treated with CG and 24.3% in those receiving MVAC. Similarly, data collected from 10 trials of 1,495 patients, including 898 patients receiving GC and 597 patients receiving MVAC, showed no significant difference between GC and MVAC in terms of pathologic downstaging rate (odds ratio, 1.07; 95% CI, 0.85–1.34). Finally, data collected from 7 trials studies, including 1,414 patients, showed that GC vs. MVAC was associated with worse overall survival (HR, 1.26; 95% CI, 1.01–1.57; p = .94 for heterogeneity, I2 = 0%), although this difference was not statistically significant after excluding patients treated with carboplatin (9). In a phase II trial that randomized 237 bladder cancer patients to dose dense MVAC, administered every 14 days for 4 cycles, or gemcitabine-cisplatin, administered every 21 days for 4 cycles, the pT0 rates for ddMVAC and GC were 32% and 35%, respectively (15). In a recently published randomized phase III trial (12) designed to compare the efficacy of dose dense (dd)-MVAC or GC in the neoadjuvant/adjuvant setting, 500 patients were randomized to either either six cycles of dd-MVAC every 2 weeks or four cycles of GC every 3 weeks. Of note, in the neoadjuvant group, 218 patients were treated with dd-MVAC (60% received the planned six cycles) and 219 were treated with GC (84% received the planned four cycles). A complete pathological response rate of 42% and 36% was obtained in the dd-MVAC vs. GC arms. In a retrospective observational study that included data from 212 patients muscle-invasive UBC treated with neoadjuvant chemotherapy (146 patients treated with GC and 66 patients treated with MVAC, the pCR rate was 29% in the MVAC cohort and 31% in the GC cohort, with a median of 3 cycles of chemotherapy administered and no significant difference in the pathologic response rate among the two regimens (16). In another retrospective study (13) including 42 patients receiving 4 cycles of neoadjuvant GC, the complete pathologic response rate was 26% (95% confidence interval [CI], 14-42), and no residual muscle-invasive disease proportion ( In another retrospective study, including 58 patients treated with neoadjuvant GC therapy and 74 treated with neoadjuvant MVAC, similar pathologic complete response rates were obtained (20.7% vs. 18.9%, P = 0.83, respectively). Of note, while neoadjuvant GC yielded improved 2-year OS rate than neoadjuvant MVAC for clinical T2 disease (95.2% vs. 70.8%, P = 0.036), in patients with T3 or more advanced disease, neoadjuvant MVAC provided more pT0 (20.0% vs. 5.6%, P = 0.07) and better 2-year OS than neoadjuvant GC (71.1% vs. 55.0%, P = 0.142), although the difference was not statistically significant (17). Of note, in our retrospective study, we obtained a complete pathologic response rate of 22,5% in patients receiving 3 cycles of neoadjuvant cisplatin-gemcitabine and of 22% in patients receiving 4 cycles of cisplatin-gemcitabine. These results are consistent with the published data reviewed. Pathologic complete response rates obtained with immune checkpoint inhibitors may be higher. While The PURE-01 trial reported that pembrolizumab was associated with a 37% complete response (pT0) after neoadjuvant therapy, the ABACUS trial showed that atezolizumab yielded a complete response rate of 31%. Conversely, preoperative combination of ipilimumab + nivolumab (18), cisplatin plus gemcitabine plus pembrolizumab (19), durvalumab + tremelimumab (20), was associated with a complete pathologic response rate of 46%, 44, 34.8%, respectively. Combination of 4 cycles of cisplatin-gemcitabine plus 4 cycles of nivolumab in the BLASST-1 trial was able to yield a complete pathologic response rate in 20 of 41 of patients or 49% of patients (21). Of note, the results obtained in our retrospective study in terms of pathologic complete response rate are lower than expected in both cohorts, although we cannot provide an explanation for this finding. Importantly, not only did we not identify any differences in cancer-specific survival or time to recurrence among patients treated with 3 vs. 4 cycles, but we reported that non-cancer specific survival was worse in patients receiving an additional cycle(HR= 2.53; 95 CI= 1.05- 6.10; p=0.046). When we analyzed all available baseline variables between the two cohorts, we did not identify any difference that may explain this finding. Considering that long-term platinum-induced cardiovascular toxicity has been shown in young patients treated for germ-cell tumors (22), we speculate that an additional cycle may increase mid- and long-term cardiovascular toxicity with an increased risk of death in a population who is generally at high or very cardiovascular high risk (males, elderly, heavy smokers). As reported by others (13), we confirmed that pathologic downstaging and complete response were associated with prognosis, with only 5 reported deaths among the 49 patients with complete response vs. 62 reported deaths among the 170 patients without complete response. In conclusion, although we are well aware of the limitations of our retrospective study, which include the study design and the limited sample size, this study represents the largest specifically designed to capture potential differences in outcomes between 3 and 4 cycles of neo-adjuvant cisplatin-gemcitabine. We found that 3 vs. 4 cycles may be equally effective, with a signal of decreased overall mortality in patients who received less cycles. Our finding may be incorporated in novel combination prospective trials based on cisplatin+gemcitabine +immune checkpoint inhibitors. Prospective studies are warranted.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

MF and CB contributed to the conception of the work and final version approval. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 2

Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of downstaging.

VariableDownstaging
UnivariateMultivariate
OR95% CIp-valueaOR95% CIp-value
Number of neoadjuvant cisplatin-gemcitabine cycles0.650.33, 1.320.224
Clinical T stage
<=2ReferenceReference
>=30.860.45, 1.670.655
Sex
 Male ReferenceReference
 Female 1.560.65, 4.370.352
Age0.960.93, 0.99 0.017 0.990.95, 1.030.662
Ecog0.570.41, 0.78 <0.001 0.700.44, 1.090.120
Charlson index1.000.86, 1.190.960
HB (g/dl)0.990.97, 1.010.148
Creatinine (mg/dl)1.470.81, 3.360.246
PCR (mg/L)0.950.91, 0.98 0.004 0.950.89, 1.010.131
VES (mm/h)0.980.96, 1.00 0.025 0.990.97, 1.020.549
NLR0.870.72, 1.040.130
Neutrophils x10^3/µL0.990.96, 1.030.487
Lymphocytes x10^3/µL0.990.89, 1.150.881
Monocytes x10^3/µL1.060.84, 1.400.634
Eosinophils x10^3/µL1.090.59, 3.380.812
Basophils x10^3/µL0.360.00, 1760.731
Platelets x10^3/µL1.001.00, 1.000.962
Albumin (g/dl)1.440.78, 2.660.246
BMI1.101.00, 1.21 0.048 1.050.95, 1.160.347
Total cholesterol level (mg/dl)0.990.99, 1.000.134
HDL (mg/dl)0.990.97, 1.010.449
Fibrinogen level (mg/dl)0.920.71, 1.190.507
Preoperative PCR (mg/L)0.950.91, 0.99 0.025 1.010.94, 1.080.847

P-values and OR are computed with single and multiple logistic regression. Significant values are highlighted in bold.

Table 3

Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of complete response.

VariableComplete pathologic response
UnivariateMultivariate
OR95% CIp-valueaOR95% CIp-value
Number of cycles0.970.46, 1.960.941
Clinical T stage
 <=2 ReferenceReference
 >=3 1.470.77, 2.780.243
Sex
 Male ReferenceReference
 Female 0.750.29, 1.730.512
Age0.980.95, 1.010.158
Ecog0.810.53, 1.160.254
Charlson index0.960.81, 1.130.648
HB (g/dl)1.000.98, 1.020.647
Creatinine (mg/dl)0.800.39, 1.360.460
PCR (mg/L)1.000.96, 1.030.931
VES (mm/h)0.980.95, 1.00 0.043 0.980.95, 1.00 0.084
NLR0.930.75, 1.120.450
Neutrophils x10^3/µL1.010.97, 1.040.519
Lymphocytes x10^3/µL1.050.94, 1.170.364
Monocytes x10^3/µL1.301.06, 1.62 0.012 1.281.04, 1.58 0.019
Eosinophils x10^3/µL1.030.42, 1.870.932
Basophils x10^3/µL0.190.00, 64.70.599
Platelets x10^3/µL1.001.00, 1.000.499
Albumin (g/dl)1.130.61, 2.100.703
BMI1.050.96, 1.150.269
Total cholesterol level (mg/dl)1.001.00, 1.010.281
HDL (mg/dl)1.000.97, 1.020.709
Fibrinogen level (mg/dl)0.910.69, 1.180.491
Preoperative PCR (mg/L)0.990.94, 1.040.719

P-values and OR are computed with single and multiple logistic regression. Significant values are highlighted in bold.

Table 4

Uni- and multi-variate analysis of the number of cycles and other baseline variables as potential predictors of overall survival.

VariableOverall survival
UnivariateMultivariate
HR95% CIp-valueaHR95% CIp-value
Number of cycles
 3 ReferenceReferenceReferenceReference
 4 1.630.99, 2.690.0611.660.99, 2.800.056
Clinical T stage
 <=2 ReferenceReference
 >=3 0.850.52, 1.410.532
Sex
 Male ReferenceReference
 Female 1.570.90, 2.760.129
Age0.970.73, 1.280.811
Ecog0.970.85, 1.110.644
Charlson index1.000.98, 1.020.992
HB (g/dl)0.650.37, 1.140.0831.000.98, 1.020.968
Creatinine (mg/dl)1.020.99, 1.040.250
PCR (mg/L)1.021.00, 1.03 0.013 1.010.99, 1.030.374
VES (mm/h)1.251.10, 1.42 0.001 1.011.00, 1.030.142
NLR1.031.01, 1.05 0.011 1.161.01, 1.34 0.040
Neutrophils x10^3/µL1.040.96, 1.120.397
Lymphocytes x10^3/µL1.060.90, 1.250.514
Monocytes x10^3/µL1.551.15, 2.07 0.030 1.120.96, 1.320.160
Eosinophils x10^3/µL0.780.01, 70.90.915
Basophils x10^3/µL1.001.00, 1.000.688
Platelets x10^3/µL0.630.39, 1.000.0501.001.00, 1.000.641
Albumin (g/dl)0.910.85, 0.98 0.007 0.680.42, 1.120.131
BMI1.011.01, 1.02 <0.001 0.950.88, 1.030.187
Total cholesterol level (mg/dl)1.010.99, 1.020.401
HDL (mg/dl)0.890.73, 1.100.276
Fibrinogen level (mg/dl)1.000.97, 1.040.973
Preoperative PCR (mg/L)1.000.97, 1.020.766

P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold.

Table 5

Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of cancer-specific survival.

VariableCancer specific survival
UnivariateMultivariate
HR95% CIp-valueaHR95% CIp-value
Number of cycles
 3 ReferenceReferenceReferenceReference
 4 1.280.70, 2.360.4281.140.59, 2.200.690
Clinical T stage
 <=2 ReferenceReference
 >=3 0.810.45, 1.460.485
Sex
 Male ReferenceReference
 Female 1.280.64, 2.560.499
Age0.990.96, 1.020.628
Ecog1.020.75, 1.400.888
Charlson index1.050.92, 1.220.470
HB (g/dl)1.000.98, 1.020.756
Creatinine (mg/dl)0.440.20, 0.99 0.018 0.560.23, 1.340.194
PCR (mg/L)1.020.99, 1.050.184
VES (mm/h)1.031.01, 1.04 0.002 1.010.99, 1.030.339
NLR1.341.17, 1.54 <0.001 1.070.89, 1.300.462
Neutrophils x10^3/µL1.041.02, 1.05 0.002 1.020.99, 1.040209
Lymphocytes x10^3/µL1.060.99, 1.130.179
Monocytes x10^3/µL1.150.98, 1.350.129
Eosinophils x10^3/µL1.661.24, 2.22 0.014 1.200.79, 1.840.397
Basophils x10^3/µL1.230.01, 2050.937
Platelets x10^3/µL1.001.00, 1.000.181
Albumin (g/dl)0.540.32, 0.94 0.030 0.640.34, 1.190.160
BMI0.920.85, 1.00 0.045 0.940.85, 1.030.202
Total cholesterol level (mg/dl)1.021.01, 1.03 <0.001 1.021.01, 1.02 <0.001
HDL (mg/dl)1.000.98, 1.020.852
Fibrinogen level (mg/dl)1.000.80, 1.260.972
Preoperative PCR (mg/L)1.000.96, 1.040.993

P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold.

Table 6

Uni- and multi-variate analysis of the number of cycles and other baseline variable as potential predictors of non-cancer specific survival.

VariableNon-cancer survival, N = 170
UnivariateMultivariate
HR95% CIp-valueaHR95% CIp-value
Number of cycles
 3ReferenceReferenceReferenceReference
 42.531.05, 6.10 0.046 1.910.77, 4.740.160
Clinical T stage
 <=2 ReferenceReference
 >=3 0.970.40, 2.380.947
Sex
 MaleReferenceReference
 Female2.230.86, 5.790.123
Age at bc diagnosis1.000.96, 1.050.933
Ecog0.820.46, 1.470.484
Charlson index0.760.57, 1.02 0.050 0.790.59, 1.070.127
HB (g/dl)0.970.86, 1.100.481
Creatinine (mg/dl)0.950.50, 1.800.877
PCR (mg/L)1.000.95, 1.060.898
VES (mm/h)1.000.97, 1.030.995
NLR0.990.70, 1.410.974
Neutrophils x10^3/µL0.850.66, 1.090.138
Lymphocytes x10^3/µL0.600.32, 1.150.0910.610.30, 1.220.163
Monocytes x10^3/µL0.640.35, 1.140.0690.710.37, 1.360.299
Eosinophils x10^3/µL0.320.01, 9.370.458
Basophils x10^3/µL0.390.00, 1,670.821
Platelets x10^3/µL1.000.99, 1.000.528
Albumin (g/dl)0.990.41, 2.350.975
BMI0.870.76, 0.99 0.035 0.880.77, 1.010.724
Total cholesterol level (mg/dl)0.990.98, 1.010.350
HDL (mg/dl)1.010.98, 1.040.470
Fibrinogen level (mg/dl)0.560.34, 0.92 0.008 0.500.29, 0.87 0.014
Preoperative PCR (mg/L)1.000.94, 1.060.958

P-values and HR are computed with single and multiple Cox regression. Significant values are highlighted in bold.

  19 in total

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