The effect of perioperative blood transfusion on oncological outcomes in radical cystectomy patients: a narrative review
Review Article: Oncology: Genitourinary Cancer

The effect of perioperative blood transfusion on oncological outcomes in radical cystectomy patients: a narrative review

Stefania Zamboni1,2#, Chiara Lonati1,2#, Carlotta Palumbo1,2, Maria Cristina Marconi1,2, Francesca Mondini1,2, Marco Lattarulo1,2, Marco Moschini3, Luca Cristinelli1,2, Sandra Belotti1,2, Claudio Simeone1,2

1Urology Unit, ASST Spedali Civili, Brescia, Italy; 2Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia, Italy; 3Klinik für Urologie, Luzerner Kantonsspital, Lucerne, Switzerland

Contributions: (I) Conception and design: C Lonati, S Zamboni, C Simeone; (II) Administrative support: None; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: C Lonati, S Zamboni, MC Marconi, F Mondini, M Moschini, M Lattarulo, C Palumbo; (V) Data analysis and interpretation: C Lonati, S Zamboni, L Cristinelli, S Belotti; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work and shared first authorship.

Correspondence to: Stefania Zamboni, MD. Urology Unit, ASST Spedali Civili, Brescia, Italy; Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia 25123, Italy. Email: stefania.zamboni@libero.it.

Abstract: In the last few years, the role of allogeneic blood transfusions (ABTs) on oncological outcomes in patients treated with surgery for various malignancies (i.e., colorectal, kidney and prostate cancer) has been evaluated in several studies. However, only a few data exist regarding the role of transfusions in bladder cancer (BCa) patients treated with radical cystectomy (RC) and results reported in literature are controversial. Therefore, our narrative review aims to summarize the current studies evaluating the complex relationship between perioperative ABT and oncological outcomes in patients who underwent RC for BCa.

Keywords: Bladder cancer (BCa); radical cystectomy (RC); perioperative blood transfusions


Received: 07 December 2019; Accepted: 31 January 2020; Published: 25 June 2020.

doi: 10.21037/amj.2020.02.03


Introduction

Bladder cancer (BCa) is the 6th most common cancer worldwide (1), the second in the genitourinary system with an estimated 80,470 new cases in 2019, and the 9th leading cause of cancer death (2). The majority of BCa is diagnosed after the occurrence of haematuria, with 75% of patients who presents a non-muscle invasive disease (3). However, these patients have a high risk of recurrence (50% of cases) and 20% of risk of progression at 5 years (4). Radical cystectomy (RC) with bilateral pelvic lymph node dissection (PLND) (3) represents the standard of care of very high-risk non-muscle invasive BCa and of muscle-invasive BCa. Nowadays, open radical cystectomy (ORC) is the most commonly performed surgical technique: however, in the last decade, minimally invasive surgical approaches including laparoscopic (LRC) or robotic radical cystectomy (RARC) (5) have spread worldwide. Although the introduction of these procedures, RC remains a complex surgery, burdened by high rates of perioperative morbidity and mortality: about 60% of the cases suffers from at least one complication within 90 days after surgery (6), and 30- and 90-day postoperative mortality rates are around 3% and 7%, respectively (7). Among the most common complications, there is intraoperative bleeding, which can require or not blood transfusions (BTs). This complication could be attributed to two main factors: first of all, to the technical complexity of the procedure and, secondly, to patients’ population which usually includes elderly patients with significant comorbidities. Moreover, the neoplasm itself can bleed, causing preoperative anaemia which can increase the risk of postoperative complications and the need of transfusions. Perioperative transfusion rate in patients undergoing RC is around 60% (8,9). Several studies suggested that perioperative BTs might have an impact on survival outcomes in RC patients but results reported in literature are controversial. For this reason, we sought to review the current available studies to evaluate the association between allogeneic blood transfusions (ABTs) and survival outcomes in patients treated with RC and PLND with curative intent for BCa.


Evidence acquisition

We searched the Medline/PubMed database using individual or/and different combinations of terms including: “bladder cancer”, “urothelial carcinoma of the bladder”, “radical cystectomy”, “perioperative blood transfusion”, “cancer recurrence”, “survival”, “oncological outcomes” and “mortality”. Only title and abstract in English language were screened for eligibility: if included, the full text was analyzed. Our research included original article and meta-analyses from 2012 to 2019.


The effect of transfusion in surgical patients

Despite the potential life-saving role, BTs could be related to significant complications including transfusion-associated lung injury (TRALI), transmission of infections, and allergic reactions. For these reasons, over the past 40 years, several studies focused their attention on the effect of ABT in patients treated with surgery, identifying both proinflammatory and immunosuppressive effects. The first observations date back in 1973, when Opelz et al. (10) reported improved survival rates in renal-transplanted patients who received ABT compared to those who did not. Other observational studies underlined a role of ABT in decreasing the risk of recurrence in autoimmune disorders (such as Crohn’s disease) (11) and in spontaneous abortions in women with a history of recurrent abortions (12). On the other side, this immunosuppressive role can lead to deleterious effects: in 1981 Gantt et al. (13) suggested a possible association between ABT and increased risk of cancer recurrence and metastases due to the dysregulated recipient’s immune system. Other harmful effects include an increased risk of postoperative bacterial infections (14) and activation of latent CMV and HIV infections (15).

Several studies tried to clarify the mechanisms of transfusion-related immunomodulation (TRIM) (16). The TRIM effect is mediated by: (I) immunologically active white blood cells (WBC) that downregulate the recipient’s immune system by shifting to immunosuppressive Lymphocytes Th2 responses (17); (II) soluble WBC-derived mediators that induce innate immune cell apoptosis and decrease natural killer cell activity (18); (III) platelet (PLT) and PLT-derived factors; (IV) heme and iron derived by aged and damaged red blood cell (RBC) (named as “storage lesions”) (19); finally (V) ubiquitin and (VI) extracellular vesicle (EV) counts which increase with storage duration (20). This mechanism is depicted in Figure 1.

Figure 1 Mechanisms of transfusion-related immunomodulation (TRIM). RBC, red blood cell; WBC, white blood cell; PLT, platelet; EV, extracellular vesicle; FAS-L, Fas-ligand; HLA, human leukocyte antigen; APC, activated protein C; NK, natural killer.

Moreover, the intra-operative release of circulating tumor cells caused by surgical manipulation (21) and the decrease of host’s immune system due to anaesthetics and opioids (22), could have an impact on oncological outcomes in patients treated with perioperative blood transfusions. These association between ABT and worse survival has been investigated in various malignancies, such as colorectal (23), hepatic (24), esophageal (25) and pancreatic cancer (26). In the urological field, contradictory data have been reported among patients with kidney (27,28), prostate (29,30) and BCa and the impact of ABT in these cancers is not yet clarified.


The oncological effect of transfusion in patients who underwent RC

The studies evaluating the effect of perioperative ABT in BCa patients treated with RC are summarized in Table 1. Linder et al. (8) in 2013 analyzed 2,060 patients treated with RC: of them, 1,279 received ABT (62%). At multivariable analyses ABT was found associated with an increased risk of tumor recurrence [hazard ratio (HR): 1.20, confidence interval 95% (CI): 1.01–1.42; P value =0.04], of cancer-specific mortality (HR: 1.31, 95% CI: 1.10–1.57; P=0.003) and of all-causes mortality (HR: 1.27, 95% CI: 1.12–1.45; P=0.0002). Similar results were reported by Buchner et al. (31) who analyzed a cohort of patients treated with RC in a retrospective single-center study. Of the 722 patients included in the analyses, 473 received ABT which was found significantly associated with a decreased cancer-specific survival (HR: 1.11, 95% CI: 1.06–1.16; P<0.001). The authors performed a sub-analysis, dividing BT into two groups: intraoperative blood transfusion (IBT) and postoperative blood transfusion (PBT): both variables remained significantly associated with reduced cancer specific survival with an HR: 1.08, 95% CI: 1.01–1.15; P=0.23 for IBT and an HR: 1.14, 95% CI: 1.07–1.21; P<0.001 for PBT. Similarly, Syan-Bhanvadia et al. (32) found an association between ABT and reduced recurrence-free survival (HR: 2.16, 95% CI: 1.13–41.12; P=0.02) and overall survival (HR 2.25, 95% CI: 1.25–4.88; P=0.01). The authors also suggested a restrictive transfusion protocol which could be safer for patients treated with RC. Similar results were reported in Siemens et al. study (33), in which 2,593 patients who underwent RC between 2000 and 2008 were analyzed. Of them, 62% received ABT which was found associated with worse overall survival (HR: 1.33, 95% CI: 1.20–1.48; P<0.001) and cancer-specific survival at 5 years (HR: 1.39, 95% CI: 1.23–1.56; P<0.001).

Table 1

Summary of studies evaluating the effect of perioperative allogeneic blood transfusion on survival outcomes in patients who underwent radical cystectomy for bladder cancer

Study Year of publication Study design Number of patients Transfusion group, n (%) FU (months) Type of analysis Outcomes Results P value
Linder et al. (8) 2013 Retrospective, single-center 2,060 1,279 (62%) 131 MVA cox regression analysis CSM; OM; recurrence HR: 1.31, CI: 1.10–1.57 0.003
HR: 1.27, CI: 1.12–1.45 0.0002
HR: 1.20, CI: 1.01–1.42 0.04
Gierth et al. (9) 2014 Retrospective, single-center 350 Overall 219 (63%): 183 IBT; 99 PBT; 63 IBT + PBT 70 MVA cox regression analysis RFS for IBT; RFS for PBT; OS for IPB; OS for PBT HR: 1.50, CI: 1.27–1.77 <0.001
HR: 1.56, CI: 1.30–1.88 <0.001
HR: 1.77, CI: 1.47–2.13 <0.001
HR: 1.76, CI: 1.41–2.21 <0.001
Buchner et al. (31) 2017 Retrospective, single-center 722 Overall 473 (66%): 263 IBT; 132 PBT; 78 IBT + PBT 26 MVA cox regression analysis CSS for IBT; CSS for PBT HR:1.08, CI: 1.01–1.15 0.23
HR: 1.14, CI: 1.07–1–21 <0.001
Syan-Bhanvadia et al. (32) 2017 Prospective, single-center 173 46 (27%) 37 MVA cox regression analysis RFS; OS HR: 2.16, CI: 1.13–41.12 0.02
HR: 2.25, CI: 1.25–4.88 0.01
Siemens et al. (33) 2017 Retrospective, single-center 2,593 1,608 (62%) MVA cox regression analysis CSS; OS HR: 1.33, CI: 1.20–1.48 <0.001
HR: 1.39, CI: 1.23–1.56 <0.001
Morgan et al. (34) 2013 Retrospective, single-center 777 323 (42%) 25.0 Non-transformed model; Restricted cubic splines model OM HR: 1.17, CI: 1.01–1.36 0.04
HR: 1.03, CI: 0.77–1.37 0.29
Soubra et al. (35) 2015 Retrospective, multicenter 5,462 1,116 (20%) 21 MVA cox regression analysis CSM; OM HR: 1.05, CI: 0.91–1.20 0.4
HR: 1.10, CI: 1.01–1.21 0.02
Kluth et al. (36) 2014 Retrospective, multicenter 2,895 1,128 (39%) 36.1 MVA cox regression analysis CSM; OM; recurrence HR: 1.10, CI: 0.96–1.27 0.17
HR: 1.10, CI: 0.99–1.22 0.07
HR: 1.13, CI: 0.99–1.28 0.06
Lee et al. (37) 2015 Retrospective, single-center 432 315 (73%) 39.5 MVA cox regression analysis OS HR: 1.56, CI: 0.98–2.48 0.058
Vetterlein et al. (38) 2018 Prospective, single-center 611 315 (52%) 26 MVA cox regression analysis and MVA competing-risk analysis CSM; OS; recurrence SHR: 1.03, CI: 0.57–1.87 >0.9
HR: 1.34, CI: 0.90–1.99 0.02
HR: 0.96, CI: 0.54–1.70 0.9
Abel et al. (39) 2014 Retrospective, multicenter 360 (UW);
1,770 (Mayo Clinic)
Overall 241 (67%): 66 IBT; 79 PBT; 98 IBT + PBT. Overall 1,100 (62%): 414 IBT; 285 only PBT; 401 IBT + PBT 18.7; 132 MVA cox regression analysis CSM for IBT; CSM for PBT; OM for IBT; OM for PBT; Recurrence for IBT; Recurrence for PBT. CSM for IBT; CSM for PBT; OM for IBT; OM for PBT; Recurrence for IBT; Recurrence for PBT HR: 1.49, CI: 1.00–2.25 0.056
HR: 0.91, CI: 0.54–1.53 0.7
HR: 1.40, CI: 1.20–1.62 <0.0001
HR: 1.06, CI: 0.88–1.27 0.56
HR: 1.45, CI: 0.84–2.5 0.18
HR: 1.11, CI: 0.69–1.19 0.76
HR: 1.55, CI: 1.24–1.94 0.0001
HR: 0.89, 0.67–1.18 0.41
HR: 1.40, CI: 1.20–1.62 <0.0001
HR: 1.06, CI: 0.88–1.27 0.56
HR:1.4, CI: 1.16–1.81 0.001
HR: 0.91, CI: 0.68–1.20 0.49
Moschini et al. (40) 2015 Retrospective, single-center 1,490 Overall 580 (39%):
322 IBT
97 PBT
161 IBT + PBT
125 MVA cox regression analysis Recurrence for IBT; Recurrence for PBT; CSM for IBT; CSM for PBT; OM for IBT; OM for PBT HR: 1.24, CI: 1.03–1.65 0.04
HR: 1.50, CI: 0.78–2.89 0.5
HR: 1.60, CI: 1.20–2.26 0.02
HR: 1.60, CI: 0.81–3.17 0.2
HR: 1.45, CI: 1.02–2.08 0.03
HR: 1.36, CI: 0.72–2.60 0.4
Moschini et al. (41) 2016 Retrospective, single-center 728 97 MVA cox regression analysis Recurrence for IBT; Recurrence for PBT HR: 1.43, CI: 1.15–1.97 0.03
HR: 1.83, CI: 0.92–3.01 0.1
Moschini et al. (42) 2017 Retrospective, single-center 1,081 (testing cohort); 433 (validation cohort) Overall 445 (42%): 274 IBT; 76 PBT; 122 IBT + PBT. Overall 183 (42%): 122 IBT; 28 PBT; 28 IBT + PBT. 52; 83 MVA cox regression analysis Distant recurrence for IBT; Distant recurrence for PBT; Distant recurrence for IBT; Distant recurrence for PBT HR: 1.15, CI: 0.74–1.78 0.5
HR: 1.32, CI: 0.84–2.05 0.2
HR: 1.22, CI: 0.6–2.46 0.6
HR: 1.55, CI: 0.84–2–87 0.4
Sadeghi et al. (43) 2012 Retrospective, single-center 638 209 (33%) 25.5 MVA cox regression analysis CSS
OS
HR: 1.2, CI: 0.85–1.69 0.3
HR: 1.15, CI: 0.91–1.45 0.246

FU, follow up; MVA, multivariable; CSM, cancer-specific mortality; HR, hazard ratio; CI, confidence interval; OM, overall mortality; IBT, intraoperative blood transfusion; PBT, postoperative blood transfusion; RFS, recurrence-free survival; OS, overall survival; CSS, cancer-specific survival; SBH, sub-hazard ratio.

However, Morgan et al. (34) reported conflicting results, depending on the statistical method used for the analyses: in a non-transformed model (in which continuous variables were assumed to have linear relationships with the outcomes), the authors found that ABT (n=323, 41.6%) was associated with a significant higher risk of overall mortality (HR: 1.17; P=0.04). On the contrary, in the second model (a restricted cubic splines model for nonlinear relationships) no association was found between them (HR: 1.03; P=0.29). Soubra et al. (35) analyzed the relationship between ABT and mortality in patients who underwent surgical treatment for major urologic cancers, such as bladder, prostate and kidney cancer. In the BCa cohort, the authors reported a significant association between ABT and increased all-causes mortality (HR: 1.109, 95% CI: 1.011–1.21; P=0.028), whereas no significant association between ABT and cancer-specific mortality was reported (HR: 1.052, 95% CI: 0.919–1.204; P=0.4648). Kluth et al. (36), in a multicenter retrospective study, did not find an association between ABT and worse oncological outcomes in the multivariable analysis (disease recurrence p = 0.06, cancer-specific mortality P=0.17, any-cause mortality P=0.07). Similarly, in a retrospective single-center study, Lee et al. (37) compared patients who received ABT (315, 73% of all patients) to those who did not and no significant association was found between ABT and overall survival in the multivariable analysis (HR: 1.56, 95% CI: 0.98–2.48; P=0.058). Similarly, Vetterlein et al. (38) recorded data from 611 patients underwent RC in 2011, of whom 315 (52%) received ABT. The authors found that ABT was not an independent predictor of oncological outcomes, including disease recurrence (HR: 0.96, 95% CI: 0.54–1.70; P=0.9), overall survival (HR: 1.34, 95% CI: 0.90–1.99; P=0.2), cancer-specific mortality (sub-hazard ratio (SHR):1.03, 95% CI: 0.57–1.87; P>0.9) and other-cause mortality (SHR: 2.16, 95% CI: 0.99–4.74; P=0.054).

Finally, there are only two systematic reviews, published by Wang et al. (44) in 2015 and by Cata et al. (45) in 2016. In the first meta-analysis ABT was an independent factor to predict all-causes mortality, cancer-specific mortality and cancer recurrence. Similarly, Cata et al. (45) found a significant association between ABT and cancer-specific survival, overall survival and recurrence-free survival.


Effect of timing of blood transfusion on survival

Few data exist regarding the role of the timing of ABT, considered as IBT or PBT.

Gierth et al. (9) collected data from 350 patients treated with RC. Overall, 219 patients were treated with ABT and 183 (52%) received IBT, whereas 99 (28%) PBT. The authors showed that both IBT and PBT are significant independent predictor of progression-free survival (HR: 1.50, 95% CI: 1.27–1.77; P<0.001 and HR: 1.56, 95% CI: 1.30–1.88; P<0.001 for IBT and PBT, respectively) and overall survival (HR: 1.77, 95% CI: 1.47–2.13; P<0.001 and HR: 1.76, 95% CI: 1.41–2.21; P<0.001 for IBT and PBT, respectively). On the contrary, Buchner et al. (31) reported that PBT was associated with a decrease in cancer-specific survival (HR: 1.14, 95% CI: 1.07–1.21; P<0.001), whereas IBT was not significant (HR: 1.08, 95% CI: 1.01–1.15; P=0.23). Abel et al. analyzed two different cohorts of patients treated with RC: a primary cohort of 360 patients from University of Wisconsin (UW) and a validation cohort of 1,770 patients from Mayo Clinic and patients were divided into a group which received IBT and a group which received PBT. In the primary cohort, the authors found that IBT was an independent risk factor for cancer-specific mortality (HR: 1.77, 95% CI: 1.06–2.94; P=0.03), while PBT was not associated with worse survival outcomes. No significant relationship was found for intra and PBT regarding tumor recurrence and all-causes mortality in the same cohort. Moreover, in the validation cohort from Mayo Clinic, IBT was found associated with a significant higher risk of tumor recurrence (HR: 1.45, 95% CI: 1.16–1.81; P=0.001), cancer-specific mortality (HR: 1.55, 95% CI 1.24–1.94; P=0.0001) and all-causes mortality (HR: 1.40, 95% CI: 1.20–1.62; P<0.0001), while PBT was not associated with worsening prognosis. Similarly, Moschini et al. (40) recorded data from 1,490 patients who underwent RC between 1990 and 2013. Of them, 322 patients received IBT, 97 received PBT and 161 received both IBT and PBT. In the multivariable analysis patients who received IBT and both IBT and PBT were combined in a single group. The authors found that IBT was an independent risk factor for cancer-specific mortality (HR: 1.6, 95% CI: 1.20–2.26; P=0.02), all-causes mortality (HR: 1.45, 95% CI: 1.02–2.08; P=0.03) and tumor recurrence (HR: 1.24, 95% CI: 1.03–1.65; P=0.04). On the contrary, the administration of PBT was not associated with worse oncological outcomes. The same result was found in another study (41), in which IBT was found significantly associated with cancer-specific mortality and overall mortality, whereas no association was found for PBT (P>0.05). Moreover, Moschini et al. (42) in another study, evaluated the risk of distant recurrence after RC in two independent cohorts of patients (testing and validation cohort), considering patients according timing of administration of ABT (IBT vs. PBT). In both cohorts, timing of BT was not significantly related to an increased risk of distant recurrence (all P≥0.2).


Number of units transfused

Only a few studies investigated the relationship between number of units transfused and survival outcomes of patients treated with RC.

Linder et al. (8) found a positive association between number of units transfused and increased risk of cancer-specific mortality (HR: 1.07; P<0.0001) and all-causes mortality (HR 1.05; P<0.0001): each blood’s unit received was associated with a 7% increased risk of cancer-specific mortality. Likewise, Lee et al. (37) recorded that an increased number of units transfused (i.e., >4 units) was a significant independent predictor of overall survival (HR: 1.69, 95% CI: 1.15–2.49; P=0.007). Abel et al. (39) reported that among patients who received an IBT in the primary cohort from University of Wisconsis, each unit transfused conferred a 17% increased risk of cancer-specific mortality (HR: 1.17, 95% CI: 1.03–1.32; P=0.01), whereas no association was found among patients who received PBT in the same cohort (HR: 1.05, 95% CI: 0.72–1.54; P=0.8). Similar results were reported for the validation cohort from Mayo Clinic (HR: 1.07, 95% CI: 1.03–1.11; P=0.0001 for IBT and HR: 0.92, 95% CI: 0.79–1.06; P=0.26 for PBT). Similarly, Gierth et al. (9) found a worse prognosis in terms of progression-free survival and overall survival the more blood units were transfused (P<0.001 for IBT and PBT).

On the contrary, Sadeghi et al. (43) analyzed data from 638 patients: of them 209 (33%) received ABT. On multivariable analysis the number of units transfused was not an independent factor to predict cancer-specific survival (P=0.3) and overall survival (P=0.246). In Moschini et al. (42) study, the number of unit transfused was not found associated with an increased risk of distant recurrence.


Conclusions

RC represents a complex surgery, which often requires BTs. Several studies have investigated the effects of perioperative blood transfusions in patients with BCa treated with RC, especially in terms of oncological outcomes, investigating also the correct timing of perioperative blood transfusions. Unfortunately, the relationship between ABT and survival outcomes is still unclear, with contrasting results reported in literature: further studies are needed to explain this complex relationship in order to address the medical practice to an individualized treatment and to improve prognosis of these fragile patients.


Acknowledgments

Funding: None.


Footnote

Provenance and Peer Review: This article was commissioned by the editorial office, AME Medical Journal for the series “Bladder Cancer”. The article has undergone external peer review.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://amj.amegroups.com/article/view/10.21037/amj.2020.02.03/coif). The Series “Bladder Cancer” was commissioned by the editorial office without any funding or sponsorship. MM served as the unpaid Guest Editor of the series and serves as an unpaid editorial board member of AME Medical Journal from September 2019 to August 2021. The authors have no other conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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doi: 10.21037/amj.2020.02.03
Cite this article as: Zamboni S, Lonati C, Palumbo C, Marconi MC, Mondini F, Lattarulo M, Moschini M, Cristinelli L, Belotti S, Simeone C. The effect of perioperative blood transfusion on oncological outcomes in radical cystectomy patients: a narrative review. AME Med J 2020;5:18.

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