5-Year Impact Factor: 0.9
Volume 35, 12 Issues, 2025
  Original Article     December 2023  

HALP Score as a New Prognostic Factor for Patients with Metastatic Bladder Cancer

By Omer Acar1, Murat Ayhan2, Bilgin Demir3, Ferhat Ekinci4, Ali Aytac5, Atike Pinar Erdogan1

Affiliations

  1. Department of Medical Oncology, Celal Bayar University, Manisa, Turkey
  2. Department of Medical Oncology, Adiyaman Training and Research Hospital, Adiyaman, Turkey
  3. Department of Medical Oncology, Aydin State Hospital, Aydin, Turkey
  4. Department of Medical Oncology, Sirnak State Hospital, Sirnak, Turkey
  5. Department of Medical Oncology, Aydin Adnan Menderes University, Aydin, Turkey
doi: 10.29271/jcpsp.2023.12.1405

ABSTRACT
Objective: To investigate the effect of the haemoglobin, albumin, lymphocyte, and platelet (HALP) score (Haemoglobin, Albumin, Lymphocyte, Platelet count) on survival as a new prognostic factor in metastatic bladder cancer.
Study Design: Descriptive study.
Place and Duration of the Study: Department of Medical Oncology, Celal Bayar University, Manisa, Turkey, and Adnan Menderes University, Aydin, Turkey, from 2010 to 2020.
Methodology: The medical charts of patients with metastatic bladder cancer were reviewed retrospectively. Prognostic value of the HALP score as a marker of overall survival was examined through a receiver operating characteristic (ROC) curve analysis.
Results: The cut-off value for the HALP score in the ROC curve analysis was 29. The median overall survival (OS) was 19 months when the HALP score was less than 29, and the median OS was 40 months when the HALP score was 29 or greater, and this finding was statistically significant (p = 0.003).
Conclusion: The HALP score is closely related to prognosis in metastatic bladder cancer. A high HALP score is associated with better survival outcomes.

Key Words: HALP score, Metastatic bladder cancer, Overall survival.

INTRODUCTION

Bladder cancer is the sixth most common form of cancer in the developed countries.1 Besides, some countries have a higher incidence of bladder cancer than the developed countries. For example, bladder cancer is the 4th most common cancer in Pakistan.2 Approximately, 75 percent of cases with bladder cancer have no muscle invasion and are treated with transurethral resection (TUR) of the bladder, while the remaining 25 percent have muscle invasion and metastatic bladder cancer (mBC). Cases with muscle invasion are treated with a radical cystectomy, and approximately 45 percent of such cases will later experience local recurrence or distant metastasis.3 Of the patients with mBC, 5 percent have de novo metastatic disease, and 5-year survival is below 15%.4 Platinum-based chemotherapy is the standard approach to the treatment of metastatic and unresectable bladder cancer.

The mean overall survival is approximately 15 months with first-line chemotherapy,5 while mean survival under second-line chemotherapy administered after the platinum-based chemotherapy is low at approximately 6 months.6

There is no definitive marker indicating prognosis in mBC, although various markers had been studied for their performance in predicting prognosis, such as neutrophil-to-lymphocyte ratio (NLR), Geriatric Nutritional Risk Index (GNRI), serum C-reactive protein (CRP), and Modified Glasgow Prognostic Score.7-9 A new marker based on Haemoglobin, Albumin, Lymphocyte, and Platelet counts (HALP score) was developed in the recent years for the prediction of prognosis in cancer patients,10–14 and its success in predicting prognosis before surgery in patients with early-stage bladder cancer had been tested.10 There had been no study to explore its utility in cases of mBC. The aim of the present study was to evaluate the performance of the HALP score in cases of metastatic disease in predicting overall survival in patients with de novo metastatic disease or in those with metastases that developed later.

METHODOLOGY

The archived records of patients diagnosed with bladder cancer between 2010 and 2020 and regularly attended follow-up visits at Manisa Celal Bayar University Hafsa Sultan Hospital and Aydin Adnan Menderes University Hospital, Turkey were reviewed retrospectively. Patients with de novo metastatic disease and developed metastatic disease after undergoing adjuvant therapy, including radiotherapy, were included in the study. Patients under the age of 18 years and those with two or more primary cancers were excluded. Clinical and pathological patient characteristics such as histological type, receipt of local therapy, history of adjuvant radiotherapy, distant metastasis sites, creatinine, total bilirubin, alkaline phosphatase (ALP), CRP, albumin, haemoglobin, platelet, neutrophil, and lymphocyte were recorded. Patients undergoing treatment were evaluated clinically and radiologically after every three months.

The analysed endpoints of the study were overall survival (OS) and progression-free survival (PFS). The response to treatment was evaluated according to the Response Evaluation Criteria in Solid Tumours (RECIST), version 1.1. Any clinical findings and side-effects encountered during the therapy were recorded. The HALP score was calculated at the time of metastasis and after the therapy using the formula: Haemoglobin (g/L), Albumin (g/L), Lymphocyte count (count/L) / Platelet count (count/L). The prognostic value of the HALP score as a marker of OS was examined based on a receiver operating characteristic (ROC) curve analysis. Patients were grouped based on BMI scores of below and above 25.

The statistical analysis was conducted in SPSS (Version 16.0. Chicago, SPSS Inc.). Descriptive statistics were presented as numbers and percentages for categorical variables, and continuous variables were presented as mean, standard deviation, and median, and with minimum and maximum values. The cut-off values for the derivate OS and PFS time scores were calculated using X-Tile version 3.6.1 software, as well as for CR/non-CR state done by receiver operating characteristics analysis. The survival analysis involved a log-rank test, and Kaplan-Meier curves were used to illustrate the important variables. Hazard ratios were determined with a Cox regression analysis for multiple variables having estimated prognostic importance. The level of statistical significance was set to an alpha of 0.05 (CI of 0.95).

RESULTS

A total of 145 patients from the two centres were included in the study. Of the patients, 87.6 percent were males, and the median age at diagnosis was 69 (63–75) years. The rate of patients with a BMI of 25 kg/m2 or greater was 58 percent; 84.1 percent of the patients had a history of smoking; and the Eastern Cooperative Oncology Group (ECOG) performance score was 0–1 in 73 percent of patients. Hypertension and coroner artery disease (CAD) were the most common comorbid conditions, and 89 percent had been diagnosed with bladder cancer based on a transurethral resection (TUR), with the most common histological subtype being urothelial carcinoma (93.8%). The ratio of patients who had undergone intravesical BCG therapy in the disease period without muscle invasion was 15.9 percent. Of these patients, 16.6 percent were treated with radiotherapy for the local disease. The most common metastasis site was the lung. The ratios of patients receiving first-line, second-line, and third-line systemic therapies were 47 percent, 23 percent, and 11 percent, respectively (Table I).

The cut-off point for the HALP score in the ROC curve analysis was 29. Of the sample, 89 patients were below (61%) and 56 (39%) were above this cut-off. According to the results of the Kaplan-Meier survival analysis and log-rank test, the median OS was 19 months when the HALP score was less than 29, and the median OS was 40 months when the HALP score was 29 or greater. This finding was statistically significant (p = 0.003).

When the subgroups were examined in high HALP score for overall survival with a univariate analysis, overall survival was found to be significantly longer in patients with a BMI of 25 or greater, in the presence of comorbid disease, in those who underwent radiotherapy, and in those who received the local therapy to the bladder in the disease period when muscle invasion was not present (p=0.004, 0.032, 0.003, and 0.002, respectively; Table II).

Table I: Clinical and demographic characteristics of patients (n=145).

Age (Median (IQR)

69 (63–75)

BMI ≥24, n (%)

85 (58.6)

Gender, n (%)

     Female

     Male

 

18 (12.4)

127 (87.6)

ECOG-PS, n (%)

      0–1

      2

      3–4

 

106 (73.1)

  31 (21.4)

    8 (5.5)

Smoking, n (%)

     Never smoker

     Former smoker

     Current smoker

 

23 (15.9)

83 (57.2)

39 (26.9)

Comorbidity, n (%)

     HT

     DM

     CAD

     COPD

 

70 (48.3)

26 (17.9)

37 (25.5)

18 (12.4)

Type of diagnosis, n (%)

     Total cystectomy

     Partial cystectomy

     TUR-B

 

  14 (9.7)

    2 (1.4)

129 (89.0)

Histological type, n (%)

     Urothelial carcinoma

     Other

 

136 (93.8)

     9 (6.2)

Receipt of local therapy, n (%)

     No

     TUR-B

     TUR-M and intracavitary BCG

 

64 (44.1)

58 (40.0)

23 (15.9)

Radiotherapy

39 (26.9)

Adjuvant therapy, n (%)

24 (16.6)

Metastasis sites, n (%)

     Liver

     Lungs

     Bone

 

26 (17.9)

63 (43.4)

51 (35.2)

Number of metastatic lines

     1st line

     2nd line

     3rd line

     4th line

     5th line

     6th line

 

69 (47.6)

34 (23.4)

16 (11.0)

  2 (1.4)

  0

  1 (0.7)

ECOG: Eastern Cooperative Oncology Group, HT: Hypertension, DM: Diabetes mellitus, CAD: Coronary artery disease, COPD: Chronic obstructive pulmonary disease, TUR-B; Transurethral resection-bladder.

Table II: OS for clinical and demographic features.

 

Univariate analysis

Multivariate analysis

Total 
n

No. of events

Median

95% CI

p-value

Exp (B)

95% CI

p-value

Age

     <65

     ≥65

 

49

96

 

31

66

 

28.0

21.0

 

15.43–40.56

12.86–29.13

 

0.094

 

 

 

Smoking

      No

      Yes

 

23

122

 

15

82

 

16.0

25.0

 

12.16–19.83

19.59–30.40

 

0.892

 

 

 

BMI_class

     <24

     ≥24

 

60

85

 

45

52

 

18.0

33.0

 

11.45–24.54

18.06–47.94

 

0.004

 

1.627

 

1.031-2.426

 

0.036

Comorbidities

     No

     Yes

 

52

93

 

35

62

 

16.0

28.0

 

9.39–22.60

16.04–39.95

 

0.032

 

1.451

 

0.939–2.250

 

0.093

Histological type

     Urothelial carcinoma

     Other

 

136

9

 

92

5

 

24.0

19.0

 

18.91–29.09

5.90–32.09

 

0.924

 

 

 

Receipt of RT

     No

     Yes

 

106

39

 

71

26

 

20.00

42.00

 

12.67–27.32

20.11–63.88

 

 

0.003

 

1.881

 

1.150–3.015

 

0.011

Adjuvant therapy

     No

     Yes

 

121

24

 

76

21

 

21.0

34.0

 

13.86–28.13

16.84–51.15

 

0.201

 

 

 

Local therapy

     No

     Yes

 

64

81

 

38

59

 

  13.0

  33.0

 

9.48–16.51

22.37–43.62

 

0,002

 

1.542

 

1.018–2.509

 

0.042

OS: Overall survival, BMI: Body mass index, RT: Radiotherapy.

Table III: PFS for clinical and demographic features.

 

Univariate analysis

Multivariate analysis

Total
n

No. of
events

Median

95% CI

p-value

Exp (B)

95% CI

p-value

Age

     <65

     ≥65

 

49

96

 

45

87

 

12.0

 2.0

 

0.54–23.45

  0.00–4.40

 

0.121

 

 

 

Gender

     Male

     Female

 

127

18

 

120

16

 

4.0

0.0

 

0.00–8.51

0.00-0.00

 

0.411

 

 

 

Smoking

     No

     Yes

 

23

122

 

21

115

 

8.0

2.0

 

0.00–16.45

0.00–4.74

 

0.194

 

 

 

BMI class

     0.00

     1.00

 

60

85

 

59

77

 

1.00

8.00

 

0.00–0.00

0.00–16.24

 

0.010

 

1.325

 

0.927–1.893

 

0.123

Comorbidities

     No

     Yes

 

52

93

 

49

87

 

2.00

3.00

 

0.00–4.90

0.00–8.32

 

0.164

 

 

 

Histological type

     Urothelial carcinoma

     Other

 

136

9

 

127

9

 

4.00

0.00

 

0.00–8.63

0.00-0.00

 

0.172

 

 

 

Receipt of RT

     No

     Yes

 

106

39

 

98

38

 

0.00

13.00

 

0.00-0.00

3.21-22.78

 

0.002

 

1.474

 

0.983–2.209

 

0.061

Adjuvant therapy

     No

     Yes

 

121

24

 

112

24

 

1.00

16.00

 

0.00-0.00

11.19-20.80

 

0.008

 

1.323

 

0.826–2.118

 

0.244

Local

     No

     Yes

 

64

81

 

60

76

 

0.00

16.0

 

0.00-0.00

12.19-19.80

 

<0.001

 

2.996

 

1.974–4.545

 

<0.001

PFS: Progression free survival, BMI: Body mass index, RT: Radiotherapy.

In the multivariate analysis, overall survival was found to be significantly longer in patients with a BMI of 25 or greater in those who underwent radiotherapy and who received the local therapy (p=0.036, 0.011, and 0.042, respectively; Table II).

In the analysis of progression-free survival based on univariate analysis in high HALP score, PFS was significantly longer in patients with a BMI of 25 or greater, in those who underwent radiotherapy, in those who received adjuvant therapy, and in those who received the local therapy to the bladder in the disease period when muscle invasion was not present (p=0.010, 0.002, 0.008, and <0.001, respectively; Table III). In the multivariate analysis, PFS was significantly longer only in patients who received the local therapy to the bladder (p<0.001; Table III).

DISCUSSION

The previous studies had established a clear relationship between nutritional status and systemic inflammatory response, and the onset, progression, and metastasis of cancer.15 The HALP score has been developed recently as a novel marker of nutritional and inflammatory status. Anaemia evaluated from the haemoglobin component of the HALP score is common in cancer patients and can occur as a result of iron deficiency, folic acid deficiency, vitamin B12 deficiency, chemotherapy side effects, and inflammatory processes. Some past studies had reported performance status and survival outcomes to be poorer in patients with anaemia ahead of cancer therapy.16,17 Albumin, the second component of the HALP score, is a negative acute phase reactant synthesised in the liver. Albumin can decrease during inflammatory conditions, including cancer, and levels can offer a clear indication of nutritional status.18 Among the components of the HALP score, lymphocytes and platelets are involved in inflammation in the microenvironment of tumour cells. Lymphocytes can cause the death of tumour cells by secreting tumour necrosis factor alpha (TNF-a) and interferon gamma, and a decreased lymphocyte count can influence disease progression and be linked to poor survival outcomes.19 Increasing the number and activation of platelets can induce tumour growth. Platelets adhering to tumour cells increase endothelial permeability by releasing vascular endothelial growth factor (VEGF), inducing neo-angiogenesis, and this can cause metastasis and disease progression.20

Based on these observations, haemoglobin, albumin, and lymphocyte show a positive correlation and platelet count shows a negative correlation. Previous studies had proposed the use of the HALP score for the prediction of prognosis in various cancers.21–24 Peng et al. examined the use of the HALP score for the prediction of prognosis ahead of radical cystectomy in patients with bladder cancer,10 studying the complete blood count and biochemical parameters of 516 patients scheduled for cystectomy. The study reported a HALP score of 22 to be predictive, while overall survival was lower in patients with a low HALP score, to a statistically significant degree. The authors also further reported lower HALP scores in patients aged above 65 years, in females and in those with a high T stage.

However, there had been no study to evaluate the HALP score in mBC, and the present study, thus, proposed a new prognostic marker for survival. In this study, overall survival was significantly higher in patients with a high HALP score (40 months vs. 19 months, p = 0.003). In the univariate analysis with a high HALP score, the overall survival was statistically significantly higher in patients with a high BMI, those with comorbid disease, and those treated previously with radiotherapy or local therapy. Higher HALP scores in patients with a high BMI can be explained by the absence of cachexia and the resulting high albumin levels in this group of patients. Similarly, higher HALP scores were noted in the subgroup of patients who had previously undergone radiotherapy or the local therapy, which suggested that poor survival outcomes may be observed in patients with de novo metastatic disease.

Among the limitations of the present study was the lack of a clear cut-off point for the HALP score, so different studies can produce different results. Nonetheless, the authors recommended the calculation of the HALP score while diagnosing metastatic bladder cancer, since it is a non-invasive, cost-effective, practical, and easily accessible measure. One strength of the present study was its inclusion of two different hospitals. However, the retrospective design of the study can reduce its reliability due to the possibility of biases.

CONCLUSION

The HALP score is closely related to prognosis in metastatic bladder cancer. A high HALP score is associated with better survival outcomes. Despite the lack of a definitive cut-off point, the authors would recommend the use of HALP score in patients with metastatic bladder cancer due to its low cost and ease of application.

ETHICAL APPROVAL:
The study was granted approval by the Health Sciences Ethics Committee of Manisa Celal Bayar University, Faculty of Medicine with decision number 244, dated 10 January, 2022.

PATIENTS’ CONSENT:
Due to retrospective nature of the study, explicit consent of patients was not required.

COMPETING INTEREST:
The authors declared no conflict of interest.

AUTHORS’ CONTRIBUTION:
FE: Drafting the work and revising for intellectual content.
MA, BD, AA: Interpretation and data analysis for the manuscript.
APE: Interpretation of data and final approval of version to be published.
OA: Drafting and revision of the work critically for final publication, accountable for all aspects of work.
All authors approved the final version of the manuscript to be published.

REFERENCES

  1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021 [Updated 2021 July]. CA Cancer J Clin 2021; 71(1):7-33. doi:10.3322/caac.21654.
  2. Altaf J, Mahesar MA, Jatoi T. Clinicopathological features of bladder tumors in a single institution in Hyderabad, Sindh, Pakistan. Int J Clinical & Case Studies 2017; 1: 22-9. doi: 10.25141/2472-102X-2017-1.0022.
  3. Schneidewind L, Kiss B, Zengerling F, Borkowetz A, Graf S, Kranz J, et al. Gender-specific outcomes in immune checkpoint inhibitor therapy for advanced or metastatic urothelial cancer: A systematic review and meta-analysis. J Cancer Res Clin Oncol 2023; 149(11):9399-408. doi: 10.1007/s00432- 023-04788-x.
  4. Bamias A, Stenzl A, Brown SL, Albiges L, Babjuk M, Bintle A, et al. Definition and diagnosis of oligometastatic bladder cancer: A Delphi Consensus Study endorsed by the European Association of Urology, European Society for Radiotherapy and Oncology, and European Society of Medical Oncology Genitourinary Faculty [Interent]. Eur Urol 2023; S0302- 2838(23)02810-5. doi: 10.1016/j.eururo.2023.05.005.
  5. Adomi S, Fujita K, Kita H, Kuwahara K, Akashi Y, Nishimoto M, et al. Prognosis of patients receiving chemotherapy for metastatic upper tract urothelial carcinoma compared with metastatic urinary bladder cancer. Cancer Diagn Progn 2023; 3(4):484-90. doi: 10.21873/cdp.10244.
  6. Witjes JA, Bruins HM, Cathomas R, Compérat EM, Cowan NC, Gakis G, et al. European Association of Urology Guidelines on muscle-invasive and metastatic bladder cancer: Summary of the 2020 Guidelines. Eur Urol 2021; 79(1):82-104. doi: 10.1016/j.eururo.2020.03.055.
  7. Etani T, Naiki T, Sugiyama Y, Nagai T, Lida K, Noda Y, et al. Low Geriatric Nutritional Risk Index as a poor prognostic marker for second line pembrolizumab treatment in patients with metastatic urothelial carcinoma: A retrospective multicenter analysis. Oncology 2020; 98(12):876-83. doi: 10. 1159/000508923.
  8. Yanagisawa T, Mori K, Katayama S, Mostafaei H, Quhal F, Laukhtina E, et al. Pretreatment clinical and hematologic prognostic factors of metastatic urothelial carcinoma treated with pembrolizumab: a systematic review and meta-analysis. Int J Clin Oncol 2022; 27(1):59-71. doi: 10.1007/s10147-021- 02061-0.
  9. Brown JT, Liu Y, Shabto JM, Martini DJ, Ravindranathan D, Hitron EE, et al. Baseline Modified Glasgow Prognostic Score Associated with survival in metastatic urothelial carcinoma treated with immune checkpoint inhibitors. Oncologist 2021; 26(5):397-405. doi: 10.1002/onco.13727.
  10. Peng D, Zhang CJ, Gong YQ, Hao H, Guca B, Li XS, et al. Prognostic significance of HALP (Hemoglobin, Albumin, Lymphocyte, and Platelet) in patients with bladder cancer after radical cystectomy. Sci Rep 2018; 8(1):794. doi:10.1038/ s41598-018-19146-y
  11. Xu SS, Li S, Xu HX, Li H, Wu CT, Wang WQ, et al. Haemoglobin, albumin, lymphocyte, and platelet predicts postoperative survival in pancreatic cancer. World J Gastroenterol 2020; 26(8):828-38. doi: 10.3748/wjg. v26.i8.828.
  12. Xu H, Zheng X, Ai J, Yang L. Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score and cancer prognosis: A systematic review and meta-analysis of 13,110 patients. Int Immunopharmacol 2023; 114:109496. doi: 10.1016/j.intimp.2022.109496.
  13. Farag CM, Antar R, Akosman S, Ng M, Whalen MJ. What is Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score? A comprehensive literature review of HALP's prognostic ability in different cancer types. Oncotarget 2023; 14:153-172. doi: 10.18632/oncotarget.28367.
  14. Guo Y, Shi D, Zhang J, Mao S, Wang L, Zhang W, et al. The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score is a novel significant prognostic factor for patients with metastatic prostate cancer undergoing cytoreductive radical prostatectomy. J Cancer 2019; 10(1):81-91. doi: 10. 7150/jca.27210.
  15. Lu H. Ouyang W, Huang C. Inflammation, a key event in cancer development. Mol Cancer Res 2006; 4:221–33. doi: 10.1158/1541-7786.MCR-05-0261.
  16. Tan P, Xie N, Liao H, Zou L, Xu H, Yang L, et al. Prognostic impact of preoperative anemia on upper tract urothelial carcinoma. Medicine (Baltimore) 2018; 97(37):e12300. doi: 10.1097/MD.0000000000012300.
  17. Rink M, Sharifi N, Fritsche HM, Aziz A, Miller F, Kluth LA, et al. Impact of preoperative anemia on oncologic outcomes of upper tract urothelial carcinoma treated with radical nephroureterectomy. J Urol 2014; 191(2):316-22. doi: 10. 1016/j.juro.2013.09.010
  18. Huang J, Wang Y, Yuan Y, Chen Y, Kong W, Chen H, et al. Preoperative serum pre-albumin as an independent prognostic indicator in patients with localized upper tract urothelial carcinoma after radical nephroureterectomy. Oncotarget 2017; 8(22):36772-36779. doi: 10.18632/oncotarget.13694.
  19. Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature 2008; 454(7203):436-44. doi:10.1038/ nature07205.
  20. Labelle M, Begum S, Hynes RO. Platelets guide the formation of early metastatic niches. Proc Natl Acad Sci USA 2014; 111(30): E3053-E3061. doi:10.1073/pnas.14110 82111
  21. Ekinci F, Balcik OY, Oktay E, Erdogan AP. HALP Score as a new prognostic Index in metastatic renal cell cancer. J Coll Physicians Surg Pak 2022; 32(3):313-8. doi: 10.29271/jcpsp.2022.03.313.
  22. Feng JF, Wang L, Yang X. The preoperative Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score is a useful predictor in patients with resectable esophageal squamous cell carcinoma. Bosn J Basic Med Sci 2021; 21(6):773-81. doi: 10.17305/bjbms.2021.5666.
  23. Zhai B, Chen J, Wu J, Yang L, Guo X, Shao J, et al. Predictive value of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score and lymphocyte-to-monocyte ratio (LMR) in patients with non-small cell lung cancer after radical lung cancer surgery. Ann Transl Med 2021; 9(12):976. doi: 10.21037/atm-21-2120.
  24. Leetanaporn K, Hanprasertpong J. Predictive value of the Hemoglobin-Albumin-Lymphocyte-Platelet (HALP) Index on the oncological outcomes of locally advanced cervical cancer patients. Cancer Manag Res 2022; 14:1961-72. doi: 10.2147/CMAR.S365612.