Literature DB >> 36092838

Adverse events during neoadjuvant chemotherapy for muscle invasive bladder cancer-a Swedish retrospective multicentre study of a clinical database.

Victoria Eriksson1, Jennie Holmlund1, Erik Wiberg1, Markus Johansson1, Ylva Huge2, Farhood Alamdari3, Johan Svensson4, Firas Aljabery2, Amir Sherif1.   

Abstract

Background: Adverse events (AEs) during neoadjuvant chemotherapy (NAC) for muscle invasive bladder cancer (MIBC) are known but insufficiently reported. Clinical implications include affected cardiac, pulmonary, urinary, vascular and haematological organ systems. The main purpose was to evaluate the incidence and severity of AEs for ascertaining possible clinical significance. Further investigating possible effects of AEs on downstaging outcomes-downstaging is considered a surrogate marker for overall survival (OS).
Methods: A retrospective evaluation of AEs during ongoing NAC for MIBC patients analysing individual patient data in a clinical database. We identified 687 cystectomies between 2009-2020 at four Swedish urological centres. Inclusion criteria were cT2-4aN0M0 in 261 NAC patients undergoing radical cystectomy (RC). Medical files were reviewed and AEs were assessed and graded, including detailed measurements by the Common Terminology Criteria for Adverse Events (CTCAE) v.5. Data were retrospectively analysed in SPSS statistics 27.0 with Spearman rank-order correlation coefficient and Mann-Whitney U-test (MWU).
Results: A total of 251/261 patients [95% confidence interval (CI), 93-98%] experienced AEs during NAC pre-RC (mean two AEs/patient). In total, 208 (80%) patients received methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin (MVAC). In the total cohort, 200 (76.6%) received all pre-planned NAC-cycles. Most common AEs were anaemia (88.9%), thrombocytopenia (44.8%) and acute kidney injury (40.6%). Patients with prematurely terminated cycles had higher AE-grades (P=0.042 MWU). A correlation between higher AE-grades and decrease in downstaging existed, in the entire cohort (-0.133; P=0.033) and in patients undergoing all pre-planned NAC-cycles (-0.148; P=0.038). Anaemia and acute kidney injury were individually associated with decreased downstaging (-0.360, P=0.025 and -0.183, P=0.010, respectively). Conclusions: NAC in MIBC poses a significant risk for AEs before RC with clinical implications. For instance, patients terminating chemotherapy prematurely, have higher AE-grades and decreased downstaging. Further, acute kidney injury and anaemia are individually associated with decreased downstaging. We propose that early detection and prevention of AEs may increase downstaging of the primary tumour. 2022 Translational Andrology and Urology. All rights reserved.

Entities:  

Keywords:  Bladder cancer; adverse effects; cystectomy; neoadjuvant therapy

Year:  2022        PMID: 36092838      PMCID: PMC9459545          DOI: 10.21037/tau-22-78

Source DB:  PubMed          Journal:  Transl Androl Urol        ISSN: 2223-4683


Introduction

Bladder cancer is the 10th most common cancer and the 13th most deadly cancer in the world. It is approximately four times more common in men than women. North America, Southern and Western Europe are the nations with the highest rates of bladder cancer (1). At diagnosis, muscle invasive bladder cancer (MIBC) accounts for 25–30% of the patients. The standard curative treatment in Sweden and Europe for MIBC is neoadjuvant chemotherapy (NAC) pre-radical cystectomy (pre-RC) for medically fit patients. Its purpose is to eradicate systemic micro metastatic disease when tolerability of chemotherapy is expected to be better pre-RC (2). NAC pre-RC has shown a significant survival benefit with reduction in mortality compared to RC only (3,4). NAC patients also had increased tumour downstaging, where pathological complete response (pCR; pT0N0M0 stage) include better overall survival (OS) and recurrence-free survival. Tumour downstaging refers to pathological tumour-node-metastasis (pTNM) less than clinical tumour-node-metastasis (cTNM) in the primary tumour (5,6), downstaging being considered a surrogate marker for OS. The standard neoadjuvant regimen is a cisplatinum-based combination. In Sweden, high-dose intensity methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin (HD-MVAC) is recommended. The HD-MVAC is less toxic and more efficacious. Gemcitabine-cisplatin (GC) is an alternative. If a patient is ineligible for cisplatin, the combination of carboplatin-gemcitabine (Carbo-Gem) can be given as second-line treatment (2). It is known that the platinum compounds serve a great risk of side effects. Potential organ systems that may be affected are cardiac, pulmonary, urinary, vascular and haematological (7). Evaluation of the side effects and complications during ongoing NAC is not well investigated and insufficient. In a Finnish registry study from 2019, 229 patients who underwent NAC pre-RC were analysed for adverse events (AEs) during ongoing chemotherapy. The AEs were reported by Common Terminology Criteria for Adverse Events (CTCAE) (8). A total of 124 patients (54%) had some form of AE. The only variable significantly associated with AE was the number of cycles, severe AEs occurred already around the first cycle (9). Furthermore, AEs have previously been described in randomized controlled trials (10-13). A Swedish study on the national registers from 2020 analysed short-term complications on perioperative variables up to 90 days post-RC in MIBC patients with NAC. The results showed no increased risk of short-term complications (14). The Swedish national register for cystectomy and urinary bladder cancer is lacking variables for analysing AEs during the time of NAC pre-RC. Thus, limitations such as possible lacking variables in national registers (9,14), lacking variables during NAC before major surgery (14) and few published studies on AE-incidence during NAC before surgery, presents a knowledge gap on AE-incidence and AE-severity grades. Therefore, as our main purpose, we intended to evaluate if the AEs would be more frequent than in previous studies, with the addition of including a more detailed analysis of independent patient data from a clinical database. Our preconceived hypothesis of patients affected in the study population was 75%. In addition, a second aim was to explore the hypothetical correlation of AEs on tumour downstaging, a research field which has, to our knowledge, not yet been investigated and reported of. Negatively affected downstaging in NAC-MIBC patients may have clinical implications, downstaging being a surrogate marker for OS. We present the following article in accordance with the STROBE reporting checklist (available at https://tau.amegroups.com/article/view/10.21037/tau-22-78/rc).

Methods

Ethical information

Ethical permission was acquired from Regional Ethics Board, Etikprövningsnämnden (EPN) Umeå, Sweden: Dnr 2013/463-31M. The study was retrospective and therefore no informed consent was required according to EPN. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Study design and patient group

This retrospective multicentre study of a clinical database included patients from four Swedish cystectomy centres which were Norrlands universitetssjukhus (NUS), länssjukhuset Sundsvall/Härnösand, Västmanlands sjukhus (Västerås) and Universitetssjukhuset Linköping (region Östergötland). Inclusion criteria were patients with MIBC (cT2–4aN0M0) who received NAC pre-RC between the years 2009–2020. During that period, 687 patients with reliable and retrievable data regarding potential NAC, underwent cystectomy at the four mentioned centres. A total of 261 patients enrolled for evaluation, for details see the flowchart ().
Figure 1

Flowchart displaying the exclusion and inclusion process resulting in 261 patients included in final analysis. NAC, neoadjuvant chemotherapy; IC, induction chemotherapy; TEE, thromboembolic event.

Flowchart displaying the exclusion and inclusion process resulting in 261 patients included in final analysis. NAC, neoadjuvant chemotherapy; IC, induction chemotherapy; TEE, thromboembolic event.

Study procedure

All data was collected retrospectively from medical records and compiled into a Microsoft Excel database. To reduce selection bias, patients with RC regardless of indication were derived from surgical lists in the participating centres. The final cohort included 261 patients of which 200 received all pre-planned number of NAC-cycles with a minimum of three cycles. Sixty-one patients terminated NAC prematurely with less than three cycles. Extracted data included age, gender, Charlson Comorbidity Index (CACI), NAC regimen, number of cycles, AEs during NAC pre-RC, clinical tumour-node-metastasis (cTNM) and pathological tumour-node-metastasis (pTNM). NAC regimens were documented in four groups: HD-MVAC, Carbo-Gem, methotrexate/vinblastine/epirubicine/cisplatin (MVEC) and other regimens including GC. The AEs were reported by the CTCAE v.5, a five-grade severity scale of AEs associated with the use of a medical treatment. The CTCAE scale is divided into 26 groups representing different organ systems. Disorders are further subdivided into specific AEs with individual grades. Grade 0 i.e., no AE, grade 1 and 2 indicating minor to moderate AE, grades 3–4 indicating more severe or life-threatening consequences, and grade 5 death related to AE. Instructions on division between grades were stated within the source: either based on clinical events or lab-values. Baseline of lab-values in grades: upper or lower limit of normal (ULN or LLN) was specified from the same source as the CTCAE, the US department of health, National Institutes of Health (NIH), and lastly from NUS, Sweden (8). The grading within each AE is specified in . Further, downstaging outcomes were divided into four grades: progressive disease (PD; pN+, pT4b), stable disease (SD; pT2–4aN0M0), partial response (PR; pTa, pTis, pT1N0M0) and complete response (CR; pT0N0M0). For downstaging analysis, every patient was represented in their highest individual CTCAE grade, despite might having had several AEs. Furthermore, every AE was analysed individually. The two NAC sub-groups (all pre-planned NAC and prematurely terminated NAC group) were compared with each other for differences in downstaging outcome.
Table 1

Grading within individual AEs by the CTCAE v.5 scale with baseline of upper or lower limits of normal

AELabMeasureBaseline valueGrade 1Grade 2Grade 3Grade 4
Acute kidney injuryCreatinineµmol/L100 (men)>ULN–1.5×ULN>1.5–3.0×ULN>3.0–6.0×ULN>6.0×ULN
90 (women) (ULN)
Chronic kidney diseaseeGFR-creatininemL/min/1.73 m260 (LLN)60–<LLN30–5915–29<15
AnaemiaHaemoglobing/L140 (men)100–<LLN80–<100<80
120 (women) (LLN)
ThrombocytopeniaPlatelet count109/L150 (LLN)75–<LLN50.0–<75.025.0–<50.0<25.0
LeukopeniaWhite blood cell109/L4.5 (LLN)3.0–<LLN2.0–<3.01.0–<2.0<1.0
NeutropeniaNeutrophil count109/L1.8 (LLN)1.5–<LLN1.0–<1.50.5–<1.0<0.5

†, no value for staging was provided in the CTCAE, life threatening situation was suggested. AE, adverse event; CTCAE, Common Terminology Criteria for Adverse Events; eGFR, estimated glomerular filtration rate; ULN, upper limit of normal; LLN, lower limit of normal.

†, no value for staging was provided in the CTCAE, life threatening situation was suggested. AE, adverse event; CTCAE, Common Terminology Criteria for Adverse Events; eGFR, estimated glomerular filtration rate; ULN, upper limit of normal; LLN, lower limit of normal.

Statistical analysis

Baseline clinical characteristics were presented as mean with standard deviation or median with interquartile range (IQR) for continuous variables and frequencies and percentages for categorical variables. Confidence interval (CI) for the proportion of patients with AEs was constructed with Clopper-Pearson method. We treated the AE-grades and downstaging as ordinal variables. We used the Mann-Whitney U-test (MWU) to evaluate the relationship between AE-grades and two-category group variables. Spearman rank-order correlation was used to evaluate the relationship between different AE-grades and downstaging. Patients with missing data were case wise dropped from analysis. All used tests are two-sided with a significance level of 5%. The data was statistically evaluated in SPSS Statistics 27.0 for Mac (IBM Corporation, Armonk, NY, USA).

Results

Of the 261 patients with MIBC intended for NAC, 200 received all pre-planned cycles and 61 patients terminated NAC prematurely with less than three cycles. Of those 61 patients, 38 patients terminated due to AEs with acute kidney injury with an increase in creatinine. Twenty-three patients terminated due to other causes including but not limited to thromboembolic event (TEE) [1], TEE in peripheral inserted central catheter (PICC) [2], septic infection [5], febrile neutropenia [4], urinary tract obstruction with sepsis [1], chest pain without heart failure [1], unspecified fever [2], general fatigue [2], tumour progression [1] or other causes [4]. See , describing the selection of the study cohort. Of the 261 patients, 78.2% were men (mean age 68 years). The mean number of NAC-cycles was 2.8 in the entire cohort. 1.5 when NAC was terminated prematurely. A total of 208 patients (80%) received HD-MVAC/MVAC, 20% received another regimen. In total, 1.9% received both MVAC and another regimen. Baseline characteristics are shown in . All 261 patients underwent RC. Independent of grade, 251 patients had some form of AE which comprises of 96.2% (95% CI, 93–98%). Follow-up regarding AEs was done individually in each patient during NAC, within the period of diagnosis to RC, in average 3.7 months. presents the different AEs and overall distribution and differences between sub-groups of prematurely terminated cycles: less than three and all pre-planned cycles, three or more reported by the CTCAE scale. The most common AE was anaemia with 232 patients (88.9%) followed by thrombocytopenia (44.8%). Acute kidney injury due to increase in creatinine was seen in 40.6%. And chronic kidney disease in 11.1%. TEEs were seen in 24 patients (9.2%), febrile neutropenia was seen in 27 (10.3%). Eleven patients (4.2%) had urinary tract obstruction on different levels (e.g., hydronephrosis, ureteral dilation) and 10 (3.8%) had septicaemia. Five patients (1.9%) developed cardiac failure and two patients had liver failure (0.8%). A significant relationship existed between higher AE-grades and number of NAC-cycles. Patients who had less cycles due to prematurely termination had higher AE-grades, compared to patients with all pre-planned cycles (P=0.042 MWU) (). No significant relationship existed between higher AE-grades and HD-MVAC/MVAC, compared to other regimen (P=0.218 MWU). Descriptive distribution of the highest AE-grade per patient on the entire cohort, and downstaging outcome, is presented in . Ten patients had no AE (3.8%), 98 patients had a maximum of grade 1 (37.5%), 68 patients had AE grade 2 (26%) and 81 patients had severe grades 3–4 (31%). Due to missing data, four patients could not be classified into any specific grade. No patient had AE grade 5, i.e., death due to AE pre-RC. The Spearman correlations between downstaging and highest AE-grade were calculated on patients within the cohort with varying NAC-cycles (). There was a significant correlation in the entire cohort (−0.133; P=0.033) and in patients who received all pre-planned NAC-cycles (−0.148; P=0.038). No significant correlation existed between highest AE-grades and downstaging when patients received less cycles due to early termination (−0.021; P=0.874). Correlation between individual AEs and downstaging on patients who received all pre-planned NAC-cycles, demonstrated a significant correlation between downstaging and anaemia, and between downstaging and acute kidney injury due to increased creatinine (−0.160, P=0.025 and −0.183, P=0.010, respectively; ). There were no significant correlations between the other AEs and downstaging individually. A significant relationship between downstaging and number of NAC-cycles existed: three or more (P=0.002 MWU; ) and between downstaging and MVAC, compared to other regimen (P=0.006 MWU; ). No significant relationship existed between downstaging and prematurely terminated NAC due to increased creatinine (P=0.051 MWU; ), however a significant relationship between downstaging and prematurely terminated NAC due to other causes existed (P=0.029 MWU; ). No correlations between the highest AE-grades and the clinical variables of CACI and cT-stage existed (P=0.123 and P=0.635, respectively; ).
Table 2

Baseline characteristics on the study cohort (n=261)

VariablesValues
Gender, n (%)
   Male204 (78.2)
   Female57 (21.8)
Age (years), mean (standard deviation)68 (7.0)
CACI, median [IQR]5 [4, 5]
NAC regimen, n (%)
   HD-MVAC/MVAC208 (79.7)
   Other53 (20.3)
    Carbo-Gem19 (7.2)
    HD-MVEC14 (5.4)
    Other20 (7.7)
NAC-cycles, mean (standard deviation)
   Total2.8 (0.9)
   ≥33.2 (0.5)
   <31.5 (0.6)
cT-stage, n (%)
   T2169 (64.4)
   T377 (29.5)
   T4a15 (5.7)
Downstaging (pTNM), n (%)
   CR (pT0N0M0)84 (32.2)
   PR (pTa, pTis, pT1N0M0)45 (17.2)
   SD (pT2–4aN0M0)81 (31.0)
   PD (pN+, pT4b)51 (19.5)

CACI, Charlson Comorbidity Index; IQR, interquartile range; NAC, neoadjuvant chemotherapy; HD-MVAC, high-dose intensity methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; MVAC, methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; Carbo-Gem, carboplatin-gemcitabine; HD-MVEC, high-dose methotrexate/vinblastine/epirubicine/cisplatin; cT, clinical tumor; pTNM, pathological tumour-node-metastasis; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.

Table 3

Distribution of AEs within patients who received NAC

CTCAE gradeNAC-cycles <3 (n=61)NAC-cycles ≥3 (n=200)All patients (n=261), n (%)
Acute kidney injury
   No event18137155 (59.4)
   Grade 1235073 (28.0)
   Grade 2191029 (11.1)
   Missing134 (1.5)
Chronic kidney disease
   No event44188232 (88.9)
   Grade 2141226 (10.0)
   Grade 3303 (1.1)
TEE
   No event57180237 (90.8)
   Grade 2022 (0.8)
   Grades 3–441822 (8.4)
Urinary tract obstruction
   No event59191250 (95.8)
   Grade 2178 (3.1)
   Grades 3–4123 (1.1)
Septic infection
   No event56195251 (96.2)
   Grades 3–45510 (3.8)
Febrile neutropenia
   No event52182234 (89.7)
   Grades 3–491827 (10.3)
Heart failure
   No event59197256 (98.1)
   Grade 2235 (1.9)
Liver failure
   No event60199259 (99.2)
   Grade 2112 (0.8)
Anaemia
   No event101929 (11.1)
   Grade 136133169 (64.8)
   Grade 2134356 (21.5)
   Grades 3–4257 (2.7)
Thrombocytopenia
   No event31113144 (55.2)
   Grade 1166278 (29.9)
   Grade 241014 (5.4)
   Grades 3–4101525 (9.6)
Leukopenia
   No event45152197 (75.5)
   Grade 1189 (3.4)
   Grade 271724 (9.2)
   Grades 3–482331 (11.9)
Neutropenia
   No event51173224 (85.8)
   Grade 2336 (2.3)
   Grades 3–472431 (11.9)

CTCAE grades 1–4 with 0 cases are excluded from display. NAC, neoadjuvant chemotherapy; CTCAE, Common Terminology Criteria for Adverse Events; TEE, thromboembolic event.

Figure 2

Significant relationship between sub-groups of NAC and grade by CTCAE. Patients with less than three NAC-cycles had a higher percentage of higher AEs grades 2–4, compared to patients with full NAC-cycles; three or more, who had lower grades 2–4 (P=0.042 MWU). NAC, neoadjuvant chemotherapy; CTCAE, Common Terminology Criteria for Adverse Events; MWU, Mann-Whitney U-test; AE, adverse event.

Table 4

Distribution of highest CTCAE grade per patient in groups of downstaging outcome (entire cohort)

CTCAE gradesPD (n=51)SD [n=79 (2)]PR [n=44 (1)]CR [n=83 (1)]
No AE2215
Grade 113321835
Grade 216191023
Grades 3–420261520

†, patients excluded from downstaging outcome due to missing grade with missing creatinine value. CTCAE, Common Terminology Criteria for Adverse Events; AE, adverse event; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response.

Table 5

Correlation analysis between downstaging and the highest individual grade by CTCAE

Groups within patient cohortSpearman correlation coefficient (95% CI)P value
AE-grades in entire cohort (n=261)−0.133 (−0.245 to −0.020)0.033*
AE-grades in cohort all pre-planned NAC-cycles (n=200)−0.148 (−0.283 to −0.016)0.038**
AE-grades in cohort NAC-cycles <3 (n=61)−0.021 (−0.281 to 0.218)0.874

*, when AE grade decrease, downstaging will increase (in entire cohort). **, when AE grade decrease, downstaging will increase (in cohort who received all pre-planned). CTCAE, Common Terminology Criteria for Adverse Events; AE, adverse event; NAC, neoadjuvant chemotherapy; CI, confidence interval.

Table 6

Correlation analysis between downstaging and individual AEs in patients with all pre-planned (NAC-cycles, n=200)

AEsN (%)Spearman correlation coefficient (95% CI)P value
Acute kidney injury63 (31.5)−0.183 (−0.308 to −0.040)0.010*
Anaemia181 (90.5)−0.160 (−0.307 to −0.014)0.025**
Chronic kidney disease12 (6.0)0.026 (−0.132 to 0.184)0.718
Septic infection5 (2.5)−0.049 (−0.160 to 0.069)0.493
Febrile neutropenia18 (9.0)0.090 (−0.056 to 0.223)0.208
TEE20 (10.0)0.047 (−0.095 to 0.178)0.516
Urinary tract obstruction9 (4.5)0.002 (−0.142 to 0.137)0.979
Thrombocytopenia87 (43.5)−0.072 (−0.220 to 0.081)0.316
Leukopenia48 (24.0)−0.088 (−0.221 to 0.052)0.220
Neutropenia27 (13.5)−0.001 (−0.138 to 0.140)0.986
Cardiac failure3 (1.5)−0.110 (−0.138 to 0.140)0.125
Liver failure1 (0.5)−0.048 (−0.070 to −0.047)0.504

*, significant correlation between downstaging and acute kidney injury. When acute kidney injury decrease, downstaging increase. **, significant correlation between downstaging and anaemia. When anaemia decrease, downstaging increase. AE, adverse event; NAC, neoadjuvant chemotherapy; TEE, thromboembolic event; CI, confidence interval.

Figure 3

(A) Significant relationship between downstaging and number of NAC-cycles. Patients with less than three cycles had decreased downstaging due to higher percentage of PD and SD, compared to patients with full cycles; three or more (P=0.002 MWU); (B) significant relationship between downstaging and type of NAC regimen. Patients who received HD-MVAC/MVAC had higher percentage of PR and CR, compared to patients who received other NAC (P=0.006 MWU). NAC, neoadjuvant chemotherapy; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response; MWU, Mann-Whitney U-test; HD-MVAC, high-dose intensity methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; MVAC, methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin.

Figure 4

(A) No significant relationship between downstaging and prematurely terminated NAC, due to acute kidney injury with increase in creatinine, in patients with less than three or all pre-planned cycles (P=0.051 MWU); (B) a significant relationship between downstaging and prematurely terminated NAC due to other causes (P=0.029 MWU). Patients who did not terminate had higher percentage of CR. NAC, neoadjuvant chemotherapy; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response; MWU, Mann-Whitney U-test.

Table 7

Correlation analysis between the highest individual grade of CTCAE and individual clinical variables (based on the entire patient cohort)

VariablesSpearman correlation coefficient (95% CI)P value
CACI0.096 (−0.028 to 0.204)0.123
cT-stage0.635
   T2, T3 and T4a0.030 (−0.082 to 0.140)

No significant correlation was seen. CTCAE, Common Terminology Criteria for Adverse Events; CACI, Charlson Comorbidity Index; cT, clinical tumour; CI, confidence interval.

CACI, Charlson Comorbidity Index; IQR, interquartile range; NAC, neoadjuvant chemotherapy; HD-MVAC, high-dose intensity methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; MVAC, methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; Carbo-Gem, carboplatin-gemcitabine; HD-MVEC, high-dose methotrexate/vinblastine/epirubicine/cisplatin; cT, clinical tumor; pTNM, pathological tumour-node-metastasis; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease. CTCAE grades 1–4 with 0 cases are excluded from display. NAC, neoadjuvant chemotherapy; CTCAE, Common Terminology Criteria for Adverse Events; TEE, thromboembolic event. Significant relationship between sub-groups of NAC and grade by CTCAE. Patients with less than three NAC-cycles had a higher percentage of higher AEs grades 2–4, compared to patients with full NAC-cycles; three or more, who had lower grades 2–4 (P=0.042 MWU). NAC, neoadjuvant chemotherapy; CTCAE, Common Terminology Criteria for Adverse Events; MWU, Mann-Whitney U-test; AE, adverse event. †, patients excluded from downstaging outcome due to missing grade with missing creatinine value. CTCAE, Common Terminology Criteria for Adverse Events; AE, adverse event; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response. *, when AE grade decrease, downstaging will increase (in entire cohort). **, when AE grade decrease, downstaging will increase (in cohort who received all pre-planned). CTCAE, Common Terminology Criteria for Adverse Events; AE, adverse event; NAC, neoadjuvant chemotherapy; CI, confidence interval. *, significant correlation between downstaging and acute kidney injury. When acute kidney injury decrease, downstaging increase. **, significant correlation between downstaging and anaemia. When anaemia decrease, downstaging increase. AE, adverse event; NAC, neoadjuvant chemotherapy; TEE, thromboembolic event; CI, confidence interval. (A) Significant relationship between downstaging and number of NAC-cycles. Patients with less than three cycles had decreased downstaging due to higher percentage of PD and SD, compared to patients with full cycles; three or more (P=0.002 MWU); (B) significant relationship between downstaging and type of NAC regimen. Patients who received HD-MVAC/MVAC had higher percentage of PR and CR, compared to patients who received other NAC (P=0.006 MWU). NAC, neoadjuvant chemotherapy; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response; MWU, Mann-Whitney U-test; HD-MVAC, high-dose intensity methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin; MVAC, methotrexate, vinblastine, adriamycin (doxorubicin) and cisplatin. (A) No significant relationship between downstaging and prematurely terminated NAC, due to acute kidney injury with increase in creatinine, in patients with less than three or all pre-planned cycles (P=0.051 MWU); (B) a significant relationship between downstaging and prematurely terminated NAC due to other causes (P=0.029 MWU). Patients who did not terminate had higher percentage of CR. NAC, neoadjuvant chemotherapy; PD, progressive disease; SD, stable disease; PR, partial response; CR, complete response; MWU, Mann-Whitney U-test. No significant correlation was seen. CTCAE, Common Terminology Criteria for Adverse Events; CACI, Charlson Comorbidity Index; cT, clinical tumour; CI, confidence interval.

Discussion

We present detailed analysis of individual data in this Swedish population-based study, where a total of 96.2% had NAC-induced AEs. This finding contrasts with other retrospective studies, here displaying a higher incidence of AEs. However, Salminen et al. reported a rate of 54% in total, of which 32% were in higher grades 3–4, and a majority receiving GC. Haematological AEs were the most prevalent (9). We report similar rate of highest AE-grades 3–4 of 31%, when majority received HD-MVAC. The difference in results between our study and Salminen et al. might be due to the different chemotherapy regimens and the difference in data collection. However, the AEs analysed by CTCAE severity scale are comparable. Despite the data derived from the Finnish national cystectomy register, they presented noticeably higher rates of AEs compared to data from the Swedish national cystectomy register. However, the data was reported differently: from day of RC up to 90 days in the Swedish register, compared to the Finnish which reported AEs during ongoing NAC (9,14). Our study derived data during ongoing NAC, from individual medical records and may explain why our rates were higher than others, including AEs of grades 1–2. Additionally, Blick et al. had only available chemotherapy toxicity data on 34 of 80 patients and reported AEs in 26.5% patients treated with HD-MVAC. Neutropenia was the most frequently toxicity observed (15). Furthermore, 85% of patients suffered of at least one AE in a retrospective study from 2017 where gastrointestinal effects together with haematological were the most common aside from fatigue (16). However, in a prospective phase II study from 2014 with 44 patients who received HD-MVAC, 82% experienced minor AEs and 12% more severe complications which comprises a total of 94% patients, similar to our study. Myelosuppression was the most common AE and no renal toxicities grade 3 or 4 was seen (17). In a large RCT, 32.5% patients receiving cisplatin, methotrexate and vinblastine (MVC) had haematological World Health Organization (WHO) grade 3 or 4 AEs. No grade 3 or 4 renal toxic effects occurred (11). In addition, a meta-analysis presenting data of AEs from three studies reported granulocytopenia in 41.85% patients as the most prevalent (3). Comparison of efficacy of GC versus MVAC in NAC has been evaluated and no differences between the two modalities have been observed. There were equal rates of pathological and survival outcomes (18,19). Yet, the studies mentioned previously seem to favour GC in the aspect of AEs. Comparable to the previous studies, haematological AE was the most frequently seen complication in our study—anaemia in 88.9% of the patients. It is known since before that the platinum compounds increase side effects in the haematological system (7). The only variable with a significant relationship to higher AE-grades was the number of NAC-cycles. Patients who terminated prematurely with less cycles had higher AE-grades 2–4, indicating that patients who do not tolerate chemotherapy may be affected with severe complications earlier. Of those who tolerated all pre-planned cycles, a higher number of AEs grade 1 existed, indicating that minor AEs may be less likely to cause termination, as to be expected. They also had AEs grades 3–4, indicating that not all severe AEs may require early termination, or some severe AEs occur later in treatment, potentially as a cumulative effect of NAC or the cancer itself (). However, Salminen et al. presented how patients received severe AEs (grades 3–4) already after one NAC-cycle (9). In our study, MVAC did not seem to affect the AE-grades more than other regimens (P=0.218 MWU). No correlation between higher AE-grades and CACI was visible, meaning a higher CACI-score did not suggest risk for side effects. Thus, the CACI-score cannot serve as a robust proxy for predicting AEs. The same absence of correlations between cT-stages and AEs were observed as well (). Secondly, we wanted to investigate possible effects of AEs on downstaging outcomes. Correlation analysis displayed that when AE-grades decrease, downstaging increase (). Thus, suggesting that high AE-grades may have a negative impact on downstaging. Patients terminating NAC early had higher AE-grades compared to patients who received all pre-planned cycles (). We suggest that lower AE-grades, possibly by early detection, treatment and prevention of AEs, may result in less prematurely termination of NAC. Patients with all pre-planned NAC-cycles had increased downstaging (). Increased downstaging was also seen amongst patients who did not need to terminate NAC prematurely due to other causes, such as TEE etc. (). Downstaging being considered a surrogate marker for OS (5), we suggest that active prevention of AEs including severity grades, might benefit patients with MIBC and increase downstaging of the primary tumour. To the best of our knowledge, similar findings have not been published previously. Furthermore, anaemia and acute kidney injury were individually associated with decreased downstaging for patients receiving all cycles. Since no other AE had an individual significant correlation with downstaging, anaemia and kidney injury are supposed to have an important role in the outcomes and possibly constitute priority areas. These observations have not been explored and presented before. The major limitation in our study was a relatively small cohort. We have however identified the available patients from our collaborative centres who received NAC during the years 2009–2020. Another limitation could be that AE grades 3–4 were used as one compound grade during statistical calculations. This was due to some data in variables only registered as grades 3–4, and therefore not possible to separate. Both grades are however graded as severe according to CTCAE scale. The study is also of a retrospective nature. However, it was concluded in a recent study that retrospective and prospective study designs can yield results with similar accuracy, regarding collected data (20). The strength in this report may be in the details in which every patient was reviewed in their individual medical record with biochemical data. It is possible that more information on AEs was obtained this way, compared to using an existing register. In the Swedish cystectomy register, data such as anaemia and kidney injury during NAC is not compiled and therefore undetected and unreported. This study differs in design compared to a previous Swedish study, where the focus on AEs lay in the post-RC period 90 days, on variables according to the Clavien-Dindo classification (13). We collected AEs adjacent to NAC, pre-RC, to minimize influence on complications from radical surgery. We recorded a significantly larger number of AEs, including minor ones, from multiple organ systems, compared to other retrospective registry studies or RCTs. We argue that this type of collection contributed to the number of AEs and that MVAC was not seen as significantly related to higher AE-grades compared to other regimens including GC, and MVAC therefore not primarily contributing to the severity grade of AEs. However, we cannot exclude that MVAC did not increase the number of AEs more than other regimens in this study. Five of seven Swedish University Hospitals have chosen to use MVAC instead of GC, thus a minority of Swedish patients receive GC.

Conclusions

NAC in MIBC poses a significant risk for AEs pre-RC with many clinical implications, and CACI-score cannot serve as a robust proxy for predicting AEs. Patients terminating chemotherapy prematurely, had higher AE-grades and decreased downstaging. Further, acute kidney injury and anaemia were individually associated with a decreased downstaging. We propose that early detection and prevention of AEs may increase downstaging of the primary tumour. The article’s supplementary files as
  17 in total

1.  Comparative effectiveness of gemcitabine plus cisplatin versus methotrexate, vinblastine, doxorubicin, plus cisplatin as neoadjuvant therapy for muscle-invasive bladder cancer.

Authors:  Matthew D Galsky; Sumanta K Pal; Simon Chowdhury; Lauren C Harshman; Simon J Crabb; Yu-Ning Wong; Evan Y Yu; Thomas Powles; Erin L Moshier; Sylvain Ladoire; Syed A Hussain; Neeraj Agarwal; Ulka N Vaishampayan; Federica Recine; Dominik Berthold; Andrea Necchi; Christine Theodore; Matthew I Milowsky; Joaquim Bellmunt; Jonathan E Rosenberg
Journal:  Cancer       Date:  2015-04-14       Impact factor: 6.860

2.  Accelerated methotrexate, vinblastine, doxorubicin, and cisplatin (AMVAC) as neoadjuvant chemotherapy for patients with muscle-invasive transitional cell carcinoma of the bladder.

Authors:  Christopher Blick; Peter Hall; Thinn Pwint; Faisal Al-Terkait; Jeremy Crew; Thomas Powles; Valentine Macaulay; Nicholas Munro; David Douglas; Neviana Kilbey; Andrew Protheroe; John D Chester
Journal:  Cancer       Date:  2012-01-03       Impact factor: 6.860

3.  Neoadjuvant cisplatin, methotrexate, and vinblastine chemotherapy for muscle-invasive bladder cancer: a randomised controlled trial. International collaboration of trialists.

Authors: 
Journal:  Lancet       Date:  1999-08-14       Impact factor: 79.321

Review 4.  The side effects of platinum-based chemotherapy drugs: a review for chemists.

Authors:  Rabbab Oun; Yvonne E Moussa; Nial J Wheate
Journal:  Dalton Trans       Date:  2018-05-15       Impact factor: 4.390

Review 5.  Correlation of pathologic complete response with survival after neoadjuvant chemotherapy in bladder cancer treated with cystectomy: a meta-analysis.

Authors:  Fausto Petrelli; Andrea Coinu; Mary Cabiddu; Mara Ghilardi; Ivano Vavassori; Sandro Barni
Journal:  Eur Urol       Date:  2013-07-03       Impact factor: 20.096

6.  Randomised phase III study of neoadjuvant chemotherapy with methotrexate, doxorubicin, vinblastine and cisplatin followed by radical cystectomy compared with radical cystectomy alone for muscle-invasive bladder cancer: Japan Clinical Oncology Group Study JCOG0209.

Authors:  H Kitamura; T Tsukamoto; T Shibata; N Masumori; H Fujimoto; Y Hirao; K Fujimoto; Y Kitamura; Y Tomita; K Tobisu; M Niwakawa; S Naito; M Eto; Y Kakehi
Journal:  Ann Oncol       Date:  2014-03-24       Impact factor: 32.976

7.  Neoadjuvant cisplatinum based combination chemotherapy in patients with invasive bladder cancer: a combined analysis of two Nordic studies.

Authors:  Amir Sherif; Lars Holmberg; Erkki Rintala; Oddvar Mestad; Jonas Nilsson; Sten Nilsson; Per-Uno Malmström
Journal:  Eur Urol       Date:  2004-03       Impact factor: 20.096

8.  Multicenter Prospective Phase II Trial of Neoadjuvant Dose-Dense Gemcitabine Plus Cisplatin in Patients With Muscle-Invasive Bladder Cancer.

Authors:  Gopa Iyer; Arjun V Balar; Matthew I Milowsky; Bernard H Bochner; Guido Dalbagni; S Machele Donat; Harry W Herr; William C Huang; Samir S Taneja; Michael Woods; Irina Ostrovnaya; Hikmat Al-Ahmadie; Maria E Arcila; Jamie C Riches; Andreas Meier; Caitlin Bourque; Maha Shady; Helen Won; Tracy L Rose; William Y Kim; Brooke E Kania; Mariel E Boyd; Catharine K Cipolla; Ashley M Regazzi; Daniela Delbeau; Asia S McCoy; Hebert Alberto Vargas; Michael F Berger; David B Solit; Jonathan E Rosenberg; Dean F Bajorin
Journal:  J Clin Oncol       Date:  2018-05-09       Impact factor: 44.544

9.  Neoadjuvant Chemotherapy in Patients With Muscle-Invasive Bladder Cancer and Its Impact on Surgical Morbidity and Oncological Outcomes: A Real-World Experience.

Authors:  Thanh-Tuan Nguyen; Olivier Huillard; Yohann Dabi; Julien Anract; Mathilde Sibony; Marc Zerbib; Evanguelos Xylinas
Journal:  Front Surg       Date:  2018-09-19

Review 10.  Epidemiology of Bladder Cancer.

Authors:  Kalyan Saginala; Adam Barsouk; John Sukumar Aluru; Prashanth Rawla; Sandeep Anand Padala; Alexander Barsouk
Journal:  Med Sci (Basel)       Date:  2020-03-13
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