Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2023 Sep 7:13:1166802.
doi: 10.3389/fonc.2023.1166802. eCollection 2023.

Correlation analysis of hemoglobin, albumin, lymphocyte, platelet score and platelet to albumin ratio and prognosis in patients with lung adenosquamous carcinoma

Affiliations
Review

Correlation analysis of hemoglobin, albumin, lymphocyte, platelet score and platelet to albumin ratio and prognosis in patients with lung adenosquamous carcinoma

Tiantian Zhang et al. Front Oncol. .

Abstract

Objective: To investigate the effect of hemoglobin, albumin, lymphocytes, platelet (HALP) score and platelet to albumin ratio (PAR) on prognosis of patients with lung adenosquamous carcinoma (ASC) after surgery.

Patients and methods: A total of 52 patients diagnosed with ASC after surgical resection were collected from Nanjing Chest Hospital from 2012 to 2021, and their general clinical data, pathological data and laboratory indexes were collected. The changes of Alb and Plt levels before and after surgery, HALP scores (hemoglobin albumin lymphocytes/platelets), and postoperative PAR, PLR, NLR were retrospectively analyzed, and their influence on the prognosis of patients with ASC was investigated. The cut-off value of △Alb, △Plt, postoperative PAR, PLR and NLR were determined by the receiver operating characteristic (ROC) curve, the optimal cut-off value of HALP score before and after surgery was calculated by using X-tile software, and the clinicopathological characteristics were compared between the high PAR and low PAR groups and between high HALP score and low HALP score group to analyze the factors influencing the prognosis of patients with ASC. Univariate and multivariate Cox proportional regression analyses were used to assess independent risk factors affecting overall survival (OS) and disease-free survival (DFS) in patients with ASC. Kaplan-Meier method was used to evaluate the correlation between OS, DFS and PAR and HALP score.

Results: A critical value of PAR was 7.40×10^9 and an area under the curve (AUC) of 0.737 (95%CI: 0.597-0.876, P = 0.004). The best cut-off value of the preoperative HALP score was 24.3. Univariate Cox analysis showed that the cut margin (P = 0.013), the degree of differentiation (P = 0.021), N stage (P = 0.049), △Plt (P = 0.010), △Alb (P = 0.016), PAR (P = 0.003), NLR (P = 0.025), PLR (P = 0.029), preoperative HALP score (P = 0.000) and post-operative HALP score (P = 0.010) were all associated with postoperative OS in ASC patients. Cut margin (P = 0.029), the degree of differentiation (P = 0.045), maximum tumor diameter (P = 0.018), N stage (P = 0.035), △Plt (P = 0.007), △Alb (P = 0.007), PAR (P = 0.004), NLR (P = 0.041), PLR (P = 0.030), preoperative HALP score (P = 0.000), and postoperative HALP score (P = 0.011) were related to postoperative DFS in ASC patients. Multivariate analysis revealed that PAR (HR: 6.877, 95%CI: 1.817-26.038, P = 0.005), differentiation degree (HR: 0.059, 95%CI: 0.006-0.591, P = 0.016) and preoperative HALP score (HR: 0.224, 95%CI: 0.068-0.733, P = 0.013) had significant effect on OS. Tumor maximum diameter (HR: 3.442, 95%CI: 1.148-10.318, P = 0.027) and preoperative HALP score (HR: 0.268, 95%CI: 0.085-0.847, P = 0.025) had significant influence on DFS.

Conclusion: PAR and preoperative HALP score were potentially useful biomarkers for evaluating the outcome of patients with postoperative ASC. PAR, the degree of differentiation and preoperative HALP score were independent prognostic factors for postoperative OS in ASC patients. Maximum tumor diameter and preoperative HALP score were independent prognostic factors for postoperative DFS in ASC patients.

Keywords: HALP score; PAR; differentiation degree; lung adenosquamous carcinoma; prognosis; surgery.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
(A) Roc curve of PAR, △Plt, △Alb, PLR, NLR. (B) Optimal cut-off value for preoperative HALP score (OS of 42 months as the cut-off). (C) Optimal cut-off value for postoperative HALP score (OS of 42 months as the cut-off). (D) Optimal cut-off value for preoperative HALP score (DFS of 36 months as the cut-off). (E) Optimal cut-off value for postoperative HALP score (DFS of 36 months as the cut-off).
Figure 2
Figure 2
(A) Kaplan-Meier survival curve. PAR > 7.40 × 10^9 had a lower OS (P = 0.001). OS: overall survival; PAR: platelet to albumin ratio. (B) Kaplan-Meier survival curve. Preoperative HALP score ≤ 24.3 had a lower OS (P = 0.000). OS: overall survival; preoperative HALP score: preoperative hemoglobin, albumin, lymphocyte, and platelet score. (C) Kaplan-Meier survival curve. Poor differentiation had a lower OS (P = 0.004). OS: overall survival.
Figure 3
Figure 3
(A) Kaplan-Meier survival curve. PAR > 7.40 × 10^9 had a lower DFS (P = 0.002). DFS: disease-free survival; PAR: platelet to albumin ratio. (B) Kaplan-Meier survival curve. Preoperative HALP score ≤ 24.3 had a lower DFS (P = 0.000). DFS: disease-free survival; preoperative HALP score: preoperative hemoglobin, albumin, lymphocyte, and platelet score. (C) Kaplan-Meier survival curve. Maximum tumor diameter > 4cm had a lower DFS (P = 0.013). DFS: disease-free survival. (D) Kaplan-Meier survival curve. Poor differentiation had a lower DFS (P = 0.016). DFS: disease-free survival.

Similar articles

Cited by

References

    1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. . Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660 - DOI - PubMed
    1. Ettinger DS, Akerley W, Bepler G, Blum MG, Chang A, Cheney RT, et al. . Non-small cell lung cancer. J Natl Compr Canc Netw (2010) 8(7):740–801. doi: 10.6004/jnccn - DOI - PubMed
    1. Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, et al. . The 2015 world health organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol (2015) 10(9):1243–60. doi: 10.1097/JTO.0000000000000630 - DOI - PubMed
    1. Li C, Lu H. Adenosquamous carcinoma of the lung. Onco Targets Ther (2018) 14(11):4829–35. doi: 10.2147/OTT.S164574 - DOI - PMC - PubMed
    1. Maeda H, Matsumura A, Kawabata T, Suito T, Kawashima O, Watanabe T, et al. . Japan National Hospital Organization Study Group for Lung Cancer. Adenosquamous carcinoma of the lung: surgical results as compared with squamous cell and adenocarcinoma cases. Eur J Cardiothorac Surg (2012) 41(2):357–61. doi: 10.1016/j.ejcts.2011.05.050 - DOI - PubMed