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Open Access 01.06.2024 | Research

Hand-foot syndrome in cancer patients on capecitabine: examining prevalence, impacts, and associated risk factors at a cancer centre in Malaysia

verfasst von: Teck Long King, Pei Jye Voon, Kah Hay Yuen, Dzul Azri Mohamed Noor

Erschienen in: Supportive Care in Cancer | Ausgabe 6/2024

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Abstract

Introduction

Hand-foot syndrome (HFS) significantly impacts quality of life in cancer patients undergoing capecitabine treatment. This study assessed capecitabine-associated HFS prevalence, its impacts on chemotherapy treatment, and identified risk factors in multiracial Malaysian patients.

Methods

We included adult cancer patients receiving capecitabine at Sarawak General Hospital for at least two cycles from April 1, 2021 to June 30, 2022. HFS rates, time to HFS, and proportions of HFS-related treatment modifications were determined. Characteristics between patients with and without HFS were compared and multivariable logistic regression was used to identify risk factors for all-grade HFS and grade ≥2.

Results

Among 369 patients, 185 (50.1%) developed HFS, with 14.6% experiencing grade ≥2 and 21.6% (40/185) underwent treatment modifications. Risk factors for all-grade HFS include older age (OR 1.03 95%CI 1.01, 1.06), prior chemotherapy (OR 2.09 95%CI 1.22, 3.58), higher capecitabine dose (OR 2.96 95%CI 1.62, 5.38), prolonged treatment (OR 1.36 95%CI 1.21, 1.51), folic acid intake (OR 3.27 95%CI 1.45, 7.35) and lower neutrophil count (OR 0.77 95%CI 0.66, 0.89). For HFS grade ≥2, older age (OR 1.04 95%CI 1.01, 1.08), female sex (OR 2.10 95%CI 1.05, 4.18), Chinese race (OR 2.10 95%CI 1.06, 4.18), and higher capecitabine dose (OR 2.62 95%CI 1.28, 5.35) are significant risk factors. Use of calcium channel blockers were associated with reduced risks of all-grade HFS (OR 0.27, 95%CI 0.12, 0.60) and grade ≥2 (OR 0.21 95%CI 0.06, 0.78).

Conclusion

This study provides real-world data on capecitabine-induced HFS in Malaysian patients and identifies risk factors that may offer insights into its understanding and management.
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Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s00520-024-08490-7.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Capecitabine, as the prodrug of 5-fluorouracil (5-FU), is used either as monotherapy or in combination with other agents in adjuvant or palliative treatment for cancers. Although oral capecitabine has comparatively reduced gastrointestinal and bone marrow toxicities than intravenous fluorouracil [1], it is associated with a higher rate of hand-foot syndrome (HFS) [2].
HFS, also known as palmar-plantar erythrodysesthesia, is a well-documented and common adverse cutaneous reaction associated with chemotherapy. HFS is characterised by a range of symptoms including erythema, dysesthesia, pain, skin cracking, desquamation, and ulceration, primarily affecting the palms and soles of cancer patients undergoing capecitabine-based chemotherapy [3, 4]. HFS is typically graded using National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE, v5.0) grading scale [5]. While not posing a life-threatening risk, HFS can inflict pain and debilitation, disrupting patients' daily activities [6] and affecting their overall quality of life [7]. It may also lead to treatment interruptions and dose reductions [8, 9]. A study showed that 17-24% of metastatic colorectal cancer patients taking capecitabine experienced treatment modifications due to HFS [9].
A pooled analysis of clinical trials reported that up to 63% of the breast cancer patients taking capecitabine experienced HFS as an adverse event [10]. In a recent meta-analysis of clinical trials and observational studies, 68.3% of colorectal cancer patients experienced HFS after treatment with capecitabine alone, and 55.8% had HFS when treated with a combination of capecitabine and oxaliplatin. Moreover, 6% of them developed severe HFS. [11]. The study also highlighted disparities in HFS prevalence across different countries, with China having the highest rate at 55.1%, followed by Japan, Korea, and Italy [11]. However, to our knowledge, no study has reported the HFS prevalence in the Malaysian population.
There is a lack of real-world data on capecitabine-associated HFS and its impacts among the Malaysian patients. Sarawak General Hospital, as the largest hospital in Sarawak region, Malaysia, serves a population of around 2.5 million people. It is also providing cares to 80 to 90 per cent of cancer patients in Sarawak [12]. In this study, we aimed to evaluate the prevalence of HFS in cancer patients receiving capecitabine treatment at SGH, including the time to HFS onset and worsening, as well as any dose-reductions and treatment interruptions due to HFS. We also sought to explore the underlying demographic, clinical characteristics, and laboratory parameters as potential risk factors associated with the development of HFS associated with capecitabine treatment.

Methods

In this retrospective, cross-sectional study, we included adult cancer patients aged 18 years and above who were receiving cancer care at Sarawak General Hospital and collected their capecitabine prescription from the hospital pharmacy between April 1, 2021, and June 30, 2022. We included patients who had received capecitabine monotherapy or combination therapy with another agent for a minimum of two treatment cycles. To ensure sufficient capecitabine exposure and avoid underestimation of HFS rate, we excluded those who prematurely discontinued their treatment (≤1 cycle) or lacked records indicating treatment continuation in their medical notes.
Upon initiation of capecitabine treatment, patients at our centre received urea cream as standard care for preventing HFS. Besides that, pharmacist counselling was given on non-pharmacological preventive measures, including avoiding exposure to extreme temperatures (e.g., washing hands with hot water) and minimising friction, trauma, and pressure on palms and soles [13]. In cases where HFS worsened to grade 2 or 3, capecitabine treatment might be interrupted and/or the dose reduced.
We retrieved information related to the patients' demographics, anthropometric measurements, comorbidities, concomitant medications, chemotherapy regimens, primary cancer site, cancer staging, Eastern Cooperative Oncology Group (ECOG) performance status, and their laboratory investigations at baseline before the first cycle of capecitabine treatment from their medical notes. We extracted the results of full blood counts, liver and renal function tests from the laboratory reports. Creatinine clearance was calculated using the Cockcroft-Gault method: ([140 – age, year] × [weight, kg]) x [0.85 if female]) / (72 x [serum creatinine, μmol/L] x 0.0113 [conversion factor to mg/dl]) [14]. The degree of HFS was assessed by attending doctors upon completion of every capecitabine treatment cycle and graded from 1 to 3 using the NCI-CTCAE, version 5 [5].
In our analysis, we calculated the HFS prevalence among the cancer patients receiving capecitabine, the median number of treatment cycles until the onset of HFS or worsened HFS of grade ≥2, and the proportions of HFS-related treatment interruptions and dose reductions. We collected baseline demographic and clinical characteristics, along with laboratory results, and compared between patients who developed HFS and those who did not. We conducted multivariable logistic regression analysis to explore the associations of demographic and clinical characteristics, with the occurrence of HFS of all-grade or grade ≥2. We employed another multivariable regression model for baseline laboratory findings, with age, sex, race, and prior chemotherapy history added as potential confounders to explore laboratory risk factors associated with the occurrence or worsening of HFS. We included both clinically and statistically significant variables (variables with p<0.10 from the univariable analysis were included) in the multivariable models. We used jamovi software, version 2.3 (The jamovi project, Sydney, Australia) and SPSS Statistics for Windows, version 16 (SPSS Inc., Chicago, Ill., USA) to perform our analyses. We set a p-value less than 0.05 as the statistical significance level.
However, we excluded breast cancer, cancer treatment intent, and capecitabine regime (monotherapy or combination therapy) from the multivariable analyses due to their high correlation with patient’s sex (breast cancer in females), cancer staging (palliative treatment intent in patients who had cancer stage IV), and capecitabine dose (patients receive lower capecitabine dose [2000mg/m2/day] when it is given in combination therapy), respectively. In addition, we also opted to include neutrophil count instead of total white blood cell count due to the high correlation between these two measures.

Results

We included a total of 369 patients receiving capecitabine for analysis. The majority were female (50.4%), Chinese (37.7%), with a mean age of 57.0 years (standard deviation 11.7). Nearly two-thirds (65.9%) of the patients had colorectal cancer, followed by breast (16.5%) and gastric cancers (7.9%). Most of them were at stage III (42.2%) and IV (44.7%) and had an ECOG performance status of ≤1 (84.3%). Around 48.0% of the patients were taking capecitabine with palliative treatment intent. Slightly more than half (54.2%) were taking capecitabine in combination regimen, with majority (49.1%) receiving capecitabine in combination with oxaliplatin. Most patients were following the dosage regimen of 2000mg/m2/day (53.9%) or less (16.3%), with a median treatment duration of six cycles, as of the time of data collection. In terms of comorbidities, the majority had hypertension (44.4%) and dyslipidaemia (24.7%) and were taking calcium channel blockers (CCB) (16.8%) and statins (12.7%) (Table 1).
Table 1
Baseline demographics and clinical characteristics
Variables
Total
n = 369
HFS
n = 185
No HFS
n = 184
p-value
Age (years), mean (SD)
57.0 (11.7)
57.8 (11.4)
56.1 (11.9)
0.164
Female sex, No. (%)
186 (50.4)
104 (56.2)
82 (44.6)
0.025
Race, No. (%)
   
0.038
 Chinese
139 (37.7)
78 (42.2)
61 (33.2)
 
 Malays
94 (25.5)
49 (26.5)
45 (24.5)
 
 Iban
77 (20.9)
30 (16.2)
47 (25.5)
 
 Bidayuh
41 (11.1)
23 (12.4)
18 (9.8)
 
 Others
18 (4.9)
5 (2.7)
13 (7.1)
 
Body weight (kg), mean (SD)
58.7 (12.6)
58.3 (12.1)
59.2 (13.2)
0.468
Body surface area (m2), mean (SD)
1.6 (0.2)
1.6 (0.2)
1.6 (0.2)
0.335
Primary cancer, No. (%)
   
<0.001
 Colorectal
243 (65.9)
106 (57.3)
137 (74.5)
 
 Breast
61 (16.5)
46 (24.9)
15 (8.2)
 
 Gastric
29 (7.9)
12 (6.5)
17 (9.2)
 
 Nasopharygeal
13 (3.5)
10 (5.4)
3 (1.6)
 
 Pancreatic
9 (2.4)
4 (2.2)
5 (2.7)
 
 Oesophageal
5 (1.4)
3 (1.6)
2 (1.1)
 
 Others
9 (2.4)
4 (2.2)
5 (2.7)
 
Cancer staging when capecitabine was prescribed, No. (%)
   
0.001
 I
3 (0.8)
0 (0)
3 (1.7)
 
 II
44 (12.2)
25 (13.6)
19 (10.8)
 
 III
152 (42.2)
62 (33.7)
90 (51.1)
 
 IV
161 (44.7)
97 (52.7)
64 (36.4)
 
ECOG, No. (%)
   
0.547
 0
53 (18.9)
23 (17.0)
30 (20.5)
 
 1
184 (65.5)
88 (65.2)
96 (65.8)
 
 ≥ 2
44 (15.6)
24 (17.8)
20 (13.7)
 
Prior chemotherapy, No. (%)
172 (46.7)
109 (59.2)
63 (34.2)
<0.001
 No. of previous regimen received, median (IQR)
0 (2)
1 (3)
0 (1)
<0.001
Capecitabine treatment intent, No. (%)
   
0.001
 Neo-adjuvant/adjuvant
192 (52.0)
81 (43.8)
111 (60.3)
 
 Palliative
177 (48.0)
104 (56.2)
73 (39.7)
 
Capecitabine treatment regimen, No. (%)
   
<0.001
 Monotherapy
169 (45.8)
109 (58.9)
60 (32.6)
 
 Combination
200 (54.2)
76 (41.1)
124 (67.4)
 
  Oxaliplatin
181 (49.1)
64 (34.6)
117 (63.6)
 
  Gemcitabine
8 (2.2)
4 (2.2)
4 (2.2)
 
  Trastuzumab
6 (1.6)
4 (2.2)
2 (1.1)
 
  Bevacizumab
2 (0.5)
2 (1.1)
2 (0.5)
 
Capecitabine dose prescribed (mg/m2/day), No. (%)
   
<0.001
 <2000
60 (16.3)
23 (12.4)
37 (20.1)
 
 2000
199 (53.9)
80 (43.2)
119 (64.7)
 
 2500
110 (29.8)
82 (44.3)
28 (15.2)
 
No. of capecitabine treatment cycles received, median (IQR)
6 (4)
8 (7)
5 (4)
<0.001
Comorbidities, No. (%)
    
 No known medical illness
139 (37.7)
74 (40.0)
65 (35.3)
0.354
 Hypertension
164 (44.4)
75 (40.5)
89 (48.4)
0.130
 Dyslipidaemia
91 (24.7)
43 (23.2)
48 (26.1)
0.526
 Diabetes
73 (19.8)
32 (17.3)
41 (22.3)
0.229
 Chronic kidney disease
2 (0.5)
0 (0)
2 (1.1)
0.155
Medication history, No. (%)
    
 Calcium channel blockers
62 (16.8)
20 (10.8)
42 (22.8)
0.002
 Statins
47 (12.7)
19 (10.3)
28 (15.2)
0.154
 Biguanides
42 (11.4)
17 (9.2)
25 (13.6)
0.184
 RAS inhibitors
    
  ACEi
23 (6.2)
7 (3.8)
16 (8.7)
0.051
  ARB
12 (3.3)
8 (4.3)
4 (2.2)
0.244
 Beta blockers
22 (6.0)
9 (4.9)
13 (7.1)
0.372
 Sulphonylureas
18 (4.9)
9 (4.9)
9 (4.9)
0.991
 Folic acid
39 (10.6)
26 (14.1)
13 (7.1)
0.029
 Vitamin B complexa
38 (10.3)
23 (12.4)
15 (8.2)
0.176
Bold values denote statistical significance (p < 0.05)
SD standard deviation, IQR interquartile range, ECOG Eastern Cooperative Oncology Group, RAS renin-angiotensin system, ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin II receptor inhibitor
a Vitamin B complex tablets contain thiamine, riboflavin, pyridoxine, cyanocobalamin, and nicotinamide
About half (50.1%) of the patients receiving capecitabine experienced HFS of all-grade, with 14.6% experiencing HFS of grade ≥2. The median number of treatment cycles until the onset of HFS was three cycles, and until HFS of grade ≥2 was five cycles. Among those who had HFS (n=185), about 22% had their chemotherapy treatment affected; 37 (20.0%) experienced treatment interruption, and 22 (11.9%) had their dosage reduced (Table 1).
Table 2
Capecitabine-associated hand-foot syndrome and treatment-related outcomes
Variables
Findings
Total HFS, No. (%)
185/369 (50.1)
Highest grade of HFS, No. (%)
 
 Grade 1
132/369 (35.8)
 Grade 2
30/369 (8.1)
 Grade 3
24/369 (6.5)
No. of cycles to HFS onset, median (IQR)
3 (3)
No. of cycles to HFS grade ≥2, median (IQR)
5 (3)
HFS-associated treatment interruption, No. (%)
37/185 (20.0)
HFS-associated dose reduction, No. (%)
22/185 (11.9)
HFS-associated treatment modification, No. (%)
40/185 (21.6)
IQR interquartile range
When comparing patients with HFS to those without the condition, we noted that the patients who had HFS were significantly more likely to be female and Chinese but less likely to be of Iban descent. Additionally, compared to patients who did not develop HFS, those with HFS had a higher proportion of patients diagnosed with breast cancer but had a smaller percentage of patients with colorectal cancer. Furthermore, individuals with HFS were more likely to be at stage IV of their cancer and had a history of prior chemotherapy. They were also more likely to be undergoing palliative chemotherapy, receiving capecitabine monotherapy, prescribed at a higher dose of 2500mg/m2/day, and have taken a significantly longer duration of chemotherapy. Besides that, we noted that individuals who had HFS were significantly less likely to be taking CCB and more likely to be taking supplementary folic acid (Table 1). In terms of laboratory parameters, capecitabine patients who had HFS had significantly lower counts of total white blood cells, specifically neutrophils, red blood cells, and platelets, along with a reduced globulin level at baseline, in comparison to those who did not develop HFS (Table 3).
Table 3
Baseline laboratory investigations
Variables
Unit
Total
n = 369
HFS
n = 185
No HFS
n = 184
p-value
Full blood count
     
 Total white blood cell
103/μL
7.6 (3.3)
7.1 (3.6)
8.1 (3.0)
0.004
  Lymphocyte
103/μL
2.0 (1.3)
2.0 (1.4)
2.1 (1.1)
0.767
  Neutrophil
103/μL
4.4 (2.2)
3.9 (1.7)
5.0 (2.5)
<0.001
  Monocyte
103/μL
0.6 (0.4)
0.6 (0.3)
0.7 (0.6)
0.114
  Eosinophil
103/μL
0.3 (0.3)
0.3 (0.3)
0.3 (0.2)
0.812
  Basophil
103/μL
0.05 (0.07)
0.04 (0.05)
0.05 (0.08)
0.525
 Red blood cell
106/μL
4.4 (0.8)
4.3 (0.8)
4.5 (0.9)
0.046
 Platelet
103/μL
318.0 (122.0)
294.9 (112.5)
341.3 (127.0)
<0.001
Renal profile
     
 Serum creatinine
μmol/L
73.2 (20.2)
71.8 (17.4)
74.6 (22.7)
0.175
 Creatinine clearance
ml/min
80.0 (27.5)
78.3 (24.8)
81.6 (30.0)
0.255
 Urea
mmol/L
4.0 (1.6)
4.0 (1.5)
4.1 (1.7)
0.700
Hepatic profile
     
 ALT
U/L
23.8 (18.6)
22.1 (14.1)
25.5 (22.1)
0.080
 AST
U/L
29.6 (21.7)
28.2 (14.2)
31 (27.3)
0.265
 ALP
U/L
97.5 (51.7)
95.4 (51.1)
99.6 (52.4)
0.445
 Total bilirubin
μmol/L
8.3 (5.0)
8.2 (4.7)
8.4 (5.2)
0.797
 Direct bilirubin
μmol/L
3.1 (2.9)
3.1 (1.9)
3.2 (3.6)
0.798
Albumin
g/L
40.7 (4.3)
40.9 (3.8)
40.4 (4.7)
0.292
Globulin
g/L
34.2 (5.9)
33.4 (5.8)
35.0 (5.9)
0.009
Bold values denote statistical significance (p < 0.05)
Data are presented as mean (standard deviation). ALT alanine aminotransferase, AST aspartate aminotransferase, ALP alkaline phosphatase
In the multivariable logistic regression analysis, we found that older age (OR 1.03, 95%CI 1.01, 1.06), prior treatment of chemotherapy (OR 2.09, 95% CI 1.22, 3.58), a higher capecitabine dose (OR 2.96, 95% CI 1.62, 5.38), and a longer treatment duration in cycles (OR 1.36, 95% CI 1.21, 1.51) were significantly associated with the occurrence of HFS in capecitabine patients. Our results also showed supplementary folic acid intake was significantly associated with higher risk of all-grade HFS (OR 3.27 95%CI 1.45, 7.35). Conversely, the concurrent use of CCB (OR 0.27, 95% CI 0.12, 0.60) was significantly associated with a reduced likelihood of developing HFS (Table 4). For HFS of grade ≥2, risk factors that showed significant associations were older age (OR 1.04, 95%CI 1.01, 1.08), female sex (OR 2.10, 95%CI 1.05, 4.18), Chinese race (OR 2.10, 95%CI 1.06 to 4.18), a higher capecitabine dose (OR 2.62, 95%CI 1.28, 5.35), and the absence of CCB in concomitant medications (OR 0.21, 95%CI 0.06, 0.78) (Table 4). In terms of laboratory investigations, only lower neutrophil count (OR 0.77 95%CI 0.66, 0.89) showed a significant association with the development of all-grade HFS in the multivariable analysis. None of the laboratory tests showed a significant association with the occurrence of grade ≥2 HFS, after controlling for other variables (Table 5). The univariable analysis findings can be found in the supplementary tables (Supplementary materials, Table S1 and Table S2).
Table 4
Multivariable logistic regression analysis of demographic and clinical factors associated with hand-foot syndrome in patients receiving capecitabine
Variables
HFS
HFS Grade ≥2
Adj. OR
95% CI
p-value
Adj. OR
95% CI
p-value
Lower
Upper
Lower
Upper
Age, year
1.03
1.01
1.06
0.005
1.04
1.01
1.08
0.014
Female sex
1.51
0.91
2.52
0.110
2.10
1.05
4.18
0.035
Chinese
1.15
0.67
1.98
0.609
2.10
1.06
4.18
0.034
Cancer stage IV
1.47
0.87
2.49
0.154
1.28
0.63
2.58
0.498
Prior chemotherapy
2.09
1.22
3.58
0.008
1.89
0.88
4.05
0.103
Capecitabine dose prescribed, 2500mg/m2/day
2.96
1.62
5.38
<0.001
2.62
1.28
5.35
0.008
Capecitabine treatment duration, cycle
1.36
1.21
1.51
<0.001
1.02
0.99
1.05
0.278
Calcium channel blockers
0.27
0.12
0.60
0.001
0.21
0.06
0.78
0.019
ACEi
1.00
0.32
3.15
1.000
1.06
0.19
5.80
0.951
Folic acid
3.27
1.45
7.35
0.004
1.30
0.47
3.61
0.612
Bold values denote statistical significance (p  < 0.05)
Adj. OR adjusted odd ratio, CI confidence interval, ECOG Eastern Cooperative Oncology Group, IQR interquartile range, ACEI angiotensin-converting enzyme inhibitor
Table 5
Multivariable logistic regression analysis of baseline laboratory findings associated with hand-foot syndrome in patients receiving capecitabine
Variables
HFS
HFS Grade ≥2
Adj. OR
95% CI
p-value
Adj. OR
95% CI
p-value
Lower
Upper
Lower
Upper
Age, year
1.02
1.00
1.04
0.110
1.02
0.99
1.07
0.114
Female sex
1.57
0.96
2.57
0.073
1.81
0.87
3.76
0.110
Chinese
1.29
0.75
2.21
0.361
2.21
1.02
4.80
0.046
Prior chemotherapy
2.56
1.52
4.32
<0.001
2.50
1.15
5.45
0.021
Neutrophil
0.77
0.66
0.89
<0.001
1.04
0.83
1.30
0.762
Red blood cell
0.83
0.58
1.19
0.307
0.78
0.43
1.40
0.400
Platelet, by 10 units
1.01
0.98
1.03
0.624
0.97
0.93
1.01
0.207
Globulin
1.00
0.96
1.05
0.862
1.01
0.94
1.09
0.825
ALT
0.99
0.98
1.01
0.242
-
-
-
-
ALP
-
-
-
-
0.99
0.98
1.00
0.094
Albumin
-
-
-
-
1.07
0.97
1.18
0.202
Eosinophil
-
-
-
-
0.39
0.07
2.17
0.280
Bold values denote statistical significance (p < 0.05)
Adj. OR adjusted odd ratio, CI confidence interval, ALT alanine aminotransferase, ALP alkaline phosphatase

Discussion

The HFS prevalence in our study (all grades, 50.1%; grade ≥2, 14.6%) is consistent with previous findings in other populations [8, 10, 11]. Despite urea cream being routinely prescribed for HFS at our centre and pharmacist counselling given, we still observed around 30% of the HFS cases worsened, and 20% required capecitabine treatment adjustments. Randomised trial evaluating urea cream's efficacy for HFS has shown mixed results [15, 16]. Other potential treatments for HFS includes pyridoxine, celecoxib, and vitamin E [1719], however, dose interruption or reduction remains the main approach to mitigate the condition [3, 4]. Future studies are warranted to determine treatment options to improve HFS management.
A higher capecitabine dose was significantly associated with an increased HFS rate in our study. Furthermore, HFS was more likely to occur in later capecitabine treatment cycles, consistent with previous studies demonstrating a higher occurrence with prolonged capecitabine treatment [20, 21]. HFS showed a dose-related and cumulative exposure association in patients receiving capecitabine in this study. Besides that, our univariable analysis suggested a lower HFS risk in the combination therapy group compared to those receiving capecitabine alone (Supplementary material, Table S1). However, as our patients received lower capecitabine dose when it is given in combination with other agents, the effect is confounded by the lower prescribed dose.
In addition, consistent with other studies [22, 23], our study showed a significant association between HFS and increasing age. Older patients often present with pre-existing comorbidities and are prescribed with multiple concurrent medications [22, 24]. Furthermore, a study showed that elderly patients may have reduced drug clearance, leading to higher capecitabine exposure compared to younger individuals [25]. These factors could contribute to the increased risk of HFS occurrence in older individuals.
We also found that female patients were more prone to develop HFS of grade ≥2. Sex difference in capecitabine toxicity has been previously reported [22, 26], possibly attributed to varying body compositions between males and females [27, 28]. A study showed that female colorectal cancer patients had more dose-limiting toxicity than male patients when given capecitabine based on their body surface area [26]. There is a growing call for sex-specific dosing strategies in cancer therapy [27, 29]. Future research could address this disparity between males and females, exploring alternative capecitabine dosing strategies beyond flat dose and body-surface-area-based dosing [27, 28].
Furthermore, studies have shown racial and ethnic differences in chemotherapy toxicities [30, 31]. In a study, African Americans and Hispanics demonstrated significantly higher capecitabine dose reductions due to side effects compared to non-Hispanic Caucasians, with African Americans also showing a non-significant increase in HFS risk relative to Caucasians [30]. Sarawak has a multiracial population comprising predominantly Ibans, Chinese, and Malays. Our findings indicate that Chinese patients had a significantly higher risk of grade ≥2 HFS compared to other racial groups. These disparities in HFS susceptibility may be attributed to genetic polymorphisms in capecitabine metabolism [32, 33], that leads to variation in toxicity profiles [34] across different races. However, a study in Singapore did not demonstrate such racial association with HFS risk, despite having a similar multiracial setting with a predominantly Chinese patient population (81%) [35]. Another potential explanation for the observed difference in HFS risk could be the racial variation in adherence to capecitabine treatment [36].
Our finding revealed a significant association of supplementary folic acid intake with increased HFS risk, consistent with a previous research by Yap et al. showing that folate levels are independent predictors of grade ≥2 HFS [35]. Besides that, an observational study in colorectal cancer patients found that use of folic acid supplements during capecitabine treatment significantly associated with increased risk of toxicities [37]. The presence of folate stablises the binding of the active fluorouracil metabolite of capecitabine, fluorodeoxyuridine monophosphate, to thymidylate synthase, forming a covalently bound ternary complex [38]. A higher level of exogenous folate may enhance the inhibition of thymidylate synthase, thereby contributing to toxicities [35].
Pyridoxine has been suggested to potentially prevent HFS [17, 39]. About 10% of our patients were prescribed vitamin B complex containing pyridoxine around the initiation of capecitabine treatment. However, we did not observe any effect on HFS in the present study.
Furthermore, the use of CCB was associated with a reduced risk of all-grade and grade ≥2 HFS in the present study, which was not previously reported. One potential explanation is that CCB may exhibit anti-inflammatory effects, as shown in in-vitro studies, which could mitigate HFS induced by capecitabine [40, 41]. While Kanbayashi et al found that concomitant use of renin-angiotensin system inhibitors was associated with a higher risk of HFS [42], we did not find such association in our study. The exact mechanism by which antihypertensive agents affects HFS is still unclear. In addition, others studies found that concomitant use of proton pump inhibitors may ameliorate capecitabine-induced HFS [43]; however, it is suggested that proton pump inhibitor use may reduce capecitabine bioavailability through increased gastric pH, potentially leading to decreased efficacy [44]. Future studies are needed to confirm the association between the use of CCB and HFS, understand the mechanisms on HFS, and explore possible interactions with capecitabine.
Besides that, we identified a negative association between baseline neutrophil count and the occurrence of HFS. While low baseline neutrophil counts and HFS have been associated with better outcomes after fluoropyrimidine-based chemotherapy, individually [45, 46], the relationship between neutrophil count and HFS remains unclear. This observation is counterintuitive, considering that HFS is thought to be related to inflammatory changes mediated by cyclooxygenase-2 [47]. However, the low baseline neutrophil level may be confounded by previous chemotherapy exposure, despite we had adjusted for this in the multivariable analysis. We noted that patients with prior chemotherapy treatment were more susceptible to HFS. Given the observational nature of our study, we cannot ascertain whether this is a delayed effect of previous chemotherapy. Furthermore, we did not gather information on the duration of previous treatment and the time gap to the initiation of capecitabine treatment.
This study has several limitations. Firstly, it was conducted in a single centre. However, Sarawak General Hospital serves the majority of cancer patients in Sarawak, making our study population representative of a large segment of cancer patients. Secondly, the retrospective design and use of secondary data from paper notes made our study prone to missing data and entry errors. Despite our efforts to capture capecitabine patients within the cross-sectional study period, we were unable to trace all patients' clinic documentations. Thirdly, we acknowledge the potential for inter-assessor variability in HFS assessment, despite the clear definitions provided in CTCAE version 5 [5]. The assessment of HFS was conducted by trained medical doctors in our centre.
In summary, our study provides real-world data on capecitabine-associated HFS among Malaysian patients. We also identified several risk factors associated with the occurrence and worsening of HFS with capecitabine use in cancer therapy. We showed that HFS is dose-limiting and associated with prolonged capecitabine exposure. Older age, Chinese race, and female sex were the significant demographic risk factors associated with HFS. We also found that folic acid intake may exacerbate the risk of HFS. Furthermore, our findings suggest a potential association between the use of CCB and a reduced risk of HFS and its worsening. We also observed a potential relationship between low neutrophil count and HFS. These findings enable us to assess the prevalence and impact of HFS in Malaysian patient population, while the identification of associated risk factors contributes to the understanding of HFS development that may inform strategies for its effective management.

Acknowledgements

We want to thank the Director General of Health of Malaysia for the permission to publish this article. We also thank Li Fang Lim, Hanisah Hossain and Roisin Lim for their contributions in data collection.

Declarations

Ethic approval

The study protocol received approval from Medical Research and Ethics Committee of the Ministry of Health, Malaysia (NMRR ID-22-01737-RYT). The study was conducted in compliance with Malaysian Guideline for Good Clinical Practice [48] and Declaration of Helsinki.
Given the retrospective nature of this study, the informed consent process was waived.

Competing interests

The authors have no relevant financial or non-financial interest to disclose.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metadaten
Titel
Hand-foot syndrome in cancer patients on capecitabine: examining prevalence, impacts, and associated risk factors at a cancer centre in Malaysia
verfasst von
Teck Long King
Pei Jye Voon
Kah Hay Yuen
Dzul Azri Mohamed Noor
Publikationsdatum
01.06.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Supportive Care in Cancer / Ausgabe 6/2024
Print ISSN: 0941-4355
Elektronische ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-024-08490-7

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