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DOI: 10.1055/s-0044-1788067
The Prognostic Value of Immunonutritional Indexes in Pineal Region Tumor

Abstract
Background Recent studies have identified immunonutritional indexes such as hemoglobin–albumin–lymphocyte–platelet (HALP) score, prognostic nutritional index (PNI), and neutrophil-to-lymphocyte ratio (NLR) in various malignancies. However, there is a lack of studies to indicate whether the immune-nutritional indexes can predict the prognosis of patients with pineal region tumors. The objective was to estimate the prognostication of immune-nutritional indexes in patients with pineal region tumors.
Methods A retrospective cohort investigation involving 51 patients with pineal region tumors was conducted. Therefore, the HALP score, PNI, and NLR were measured for each patient before surgery. The association between the immune-nutritional indexes and prognosis was analyzed using Cox hazard regression.
Results For the total cohort, 1-, 2-, and 5-year survival probabilities were 92% (95% confidence interval [CI] 85–99.8), 92% (95% CI 85–99.8), and 81% (95% CI 70–94.1), respectively. HALP scores were positively associated with survival benefits. At the cutoff threshold of 22.6, the high-HALP group had a significantly longer survival time than the low-HALP group (hazard ratio 0.25, 95% CI 0.06–1.00, p-value 0.05).
Conclusion The preoperative HALP score is an independent prognostic factor for patients diagnosed with pineal region tumors. Furthermore, prospective multicenter studies ought to be performed in the future to externally validate the immunonutritional indexes' prognostication.
Keywords
hemoglobin–albumin–lymphocyte–platelet score - germinoma - germ cell tumor - pineal tumor - neutrophil-to-lymphocyte ratio - prognosis - prognostic nutritional indexDeclarations
The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). A human research ethics committee approved the present study (REC.65-431-10-1). Because it was a retrospective analysis, the current study did not require patients' informed consent. However, the identity numbers of patients were encoded before analysis.
Authors' Contributions
S.S. and T.T. conceived the study and designed the method. T.T. supervised the completion of the data collection. S.S., A.K., and T.T. undertook the recruitment of participating centers and patients and managed the data, including quality control. A.K. and T.T. provided statistical advice on the study design and analyzed the data, while S.S. drafted the manuscript, and all authors contributed substantially to its revision. T.T. takes responsibility for the paper as a whole.
Publication History
Article published online:
05 July 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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References
- 1 Hirato J, Nakazato Y. Pathology of pineal region tumors. J Neurooncol 2001; 54 (03) 239-249
- 2 Mottolese C, Szathmari A, Beuriat PA. Incidence of pineal tumours. A review of the literature. Neurochirurgie 2015; 61 (2-3): 65-69
- 3 Fedorko S, Zweckberger K, Unterberg AW. Quality of life following surgical treatment of lesions within the pineal region. J Neurosurg 2018; 130 (01) 28-37
- 4 Pettorini BL, Al-Mahfoud R, Jenkinson MD, Avula S, Pizer B, Mallucci C. Surgical pathway and management of pineal region tumours in children. Childs Nerv Syst 2013; 29 (03) 433-439
- 5 Valsechi LC, da Costa MDS, Dastoli PA. et al. Prognostic factors of pediatric pineal region tumors at a single institution. Childs Nerv Syst 2023; 39 (09) 2329-2339
- 6 Cavalheiro S, Valsechi LC, Dastoli PA. et al. Outcomes and surgical approaches for pineal region tumors in children: 30 years' experience. J Neurosurg Pediatr 2023; 32 (02) 184-193
- 7 Vuong HG, Ngo TNM, Dunn IF. Incidence, prognostic factors, and survival trend in pineal gland tumors: a population-based analysis. Front Oncol 2021; 11: 780173
- 8 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
- 9 Zhong H, Wang Y, Jia J. et al. Ferroptosis related genes are regulated by methylation and predict the prognosis of glioblastoma patients. Transl Cancer Res 2022; 11 (04) 603-614
- 10 Njoku K, Barr CE, Ramchander NC, Crosbie EJ. Impact of pre-treatment prognostic nutritional index and the haemoglobin, albumin, lymphocyte and platelet (HALP) score on endometrial cancer survival: a prospective database analysis. PLoS One 2022; 17 (08) e0272232
- 11 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: 1961-1972
- 12 Shen XB, Zhang YX, Wang W, Pan YY. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score in patients with small cell lung cancer before first-line treatment with etoposide and progression-free survival. Med Sci Monit 2019; 25: 5630-5639
- 13 Garrett C, Becker TM, Lynch D. et al. Comparison of neutrophil to lymphocyte ratio and prognostic nutritional index with other clinical and molecular biomarkers for prediction of glioblastoma multiforme outcome. PLoS One 2021; 16 (06) e0252614
- 14 Zhang B, Cheng Y, Li R, Lian M, Guo S, Liang C. Development of a novel angiogenesis-related lncRNA signature to predict the prognosis and immunotherapy of glioblastoma multiforme. Transl Cancer Res 2023; 12 (01) 13-30
- 15 Zhang D, Chen S, Cao W, Geng N, Feng C. HALP score based on hemoglobin, albumin, lymphocyte and platelet can predict the prognosis of tongue squamous cell carcinoma patients. Heliyon 2023; 9 (09) e20126
- 16 Bloch O, Han SJ, Cha S. et al. Impact of extent of resection for recurrent glioblastoma on overall survival: clinical article. J Neurosurg 2012; 117 (06) 1032-1038
- 17 Choque-Velasquez J, Resendiz-Nieves J, Jahromi BR. et al. Extent of resection and long-term survival of pineal region tumors in Helsinki neurosurgery. World Neurosurg 2019; 131: e379-e391
- 18 Tunthanathip T, Madteng S. Factors associated with the extent of resection of glioblastoma. Precis Cancer Med 2020; 3: 12
- 19 Hua X, Long ZQ, Huang X. et al. The value of prognostic nutritional index (PNI) in predicting survival and guiding radiotherapy of patients with T1-2N1 breast cancer. Front Oncol 2020; 9: 1562
- 20 Al-Hussaini M, Sultan I, Abuirmileh N, Jaradat I, Qaddoumi I. Pineal gland tumors: experience from the SEER database. J Neurooncol 2009; 94 (03) 351-358
- 21 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
- 22 Kaewborisutsakul A, Sae-Heng S, Kitsiripant C, Benjhawaleemas P. The first awake craniotomy for eloquent glioblastoma in Southern Thailand. J Health Sci Med Res JHSMR 2020; 38 (01) 61-65
- 23 Tunthanathip T, Oearsakul T. The added prognostic role of the hemoglobin, albumin, lymphocyte, and platelet scores in glioblastoma. J Lab Precis Med 2024; 9: 12
- 24 Wang J, Jiang P, Huang Y. et al. Prognostic value of the cutoffs for HALP in endometrial cancer. Am J Clin Oncol 2023; 46 (03) 107-113
- 25 Zhao Z, Yin XN, Wang J, Chen X, Cai ZL, Zhang B. Prognostic significance of hemoglobin, albumin, lymphocyte, platelet in gastrointestinal stromal tumors: a propensity matched retrospective cohort study. World J Gastroenterol 2022; 28 (27) 3476-3487
- 26 Taweesomboonyat T, Kaewborisutsakul A, Tunthanathip T. et al. Necessity of in-hospital neurological observation for mild traumatic brain injury patients with negative computed tomography brain scans. J Health Sci Med Res JHSMR 2000; 38: 267-274
- 27 Tunthanathip T, Duangsuwan J, Wattanakitrungroj N, Tongman S, Phuenpathom N. Comparison of intracranial injury predictability between machine learning algorithms and the nomogram in pediatric traumatic brain injury. Neurosurg Focus 2021; 51 (05) E7
- 28 Kaewborisutsakul A, Tunthanathip T. Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma. Acute Crit Care 2022; 37 (03) 429-437
- 29 Tunthanathip T, Sae-Heng S, Oearsakul T, Kaewborisutsakul A, Taweesomboonyat C. Economic impact of a machine learning-based strategy for preparation of blood products in brain tumor surgery. PLoS One 2022; 17 (07) e0270916
- 30 Takamori S, Ohba T, Shimokawa M. et al. Prospective observational study of nutritional/immunologic indices as predictive biomarkers for the response to anti-PD-1 drugs in non-small cell lung cancer (ICI-PREDICT study). PLoS One 2021; 16 (10) e0258616