Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
In Vivo
  • Other Publications
    • In Vivo
    • Anticancer Research
    • Cancer Genomics & Proteomics
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
In Vivo

Advanced Search

  • Home
  • Current Issue
  • Archive
  • Info for
    • Authors
    • Editorial Policies
    • Advertisers
    • Editorial Board
    • Special Issues
  • Journal Metrics
  • Other Publications
    • Anticancer Research
    • Cancer Genomics & Proteomics
    • Cancer Diagnosis & Prognosis
  • More
    • IIAR
    • Conferences
  • About Us
    • General Policy
    • Contact
  • Visit iiar on Facebook
  • Follow us on Linkedin
Research ArticleClinical Studies
Open Access

The Clinical Impact of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) in Gastric Cancer Patients Who Receive Curative Treatment

TORU AOYAMA, YUKIO MAEZAWA, ITARU HASHIMOTO, RYUKI ESASHI, SOSUKE YAMAMOTO, MAMORU UCHIYAMA, KOJI NUMATA, KEISUKE KAZAMA, AYAKO TAMAGAWA, AYA SAITO and NORIO YUKAWA
In Vivo September 2024, 38 (5) 2494-2500; DOI: https://doi.org/10.21873/invivo.13720
TORU AOYAMA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: t-aoyama{at}lilac.plala.or.jp
YUKIO MAEZAWA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
ITARU HASHIMOTO
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: itarum1n1{at}hotmail.com
RYUKI ESASHI
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
SOSUKE YAMAMOTO
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
MAMORU UCHIYAMA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
KOJI NUMATA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
KEISUKE KAZAMA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
AYAKO TAMAGAWA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
AYA SAITO
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
NORIO YUKAWA
Department of Surgery, Yokohama City University, Yokohama, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Background/Aim: We hypothesized that the hemoglobin, albumin, lymphocyte, and platelet (HALP) score may be a promising marker for the treatment and management of gastric cancer (GC). To test this hypothesis, we evaluated the clinical impact of the HALP score in patients with GC who received curative treatment. Patients and Methods: Consecutive patients who underwent curative resection for GC at the Yokohama City University between 2005 and 2020 were selected based on their medical records. The HALP score was calculated as follows: HALP=Hemoglobin (g/l) × albumin (g/l) × lymphocytes (109/l)/platelets (109/l). Results: The 3-year and 5-year overall survival (OS) rates were 88.6% and 85.8%, respectively, in patients with HALP scores of >40, and 70.3% and 57.2% in patients with HALP scores of ≤40. There were significant differences between the groups analyzed (p<0.001). In univariate analysis, age, T status, lymph node metastasis status, HALP score, lymphovascular invasion status, pathological type, and postoperative complication status were identified as significant prognostic factors for OS. In multivariate analysis, the HALP score remained a significant prognostic factor for OS [hazard ratio (HR)=2.679; 95% confidence interval (CI)=1.455-4.934, p=0.002]. Similar results were observed in the analysis of recurrence-free survival. In addition, the HALP score status affects the postoperative clinical course, including the occurrence of postoperative anastomotic leakage and the introduction of postoperative adjuvant chemotherapy. Conclusion: The HALP score affects both short- and long-term oncological outcomes. Thus, the HALP score may be a promising prognostic factor for the treatment and management of GC.

Key Words:
  • Hemoglobin
  • albumin
  • lymphocyte
  • platelet
  • gastric cancer

Gastric cancer (GC) is the fifth most common cancer and the fourth leading cause of cancer-related deaths in the world (1, 2). Gastrectomy with or without perioperative adjuvant treatment is standard treatment for early to locally advanced GC (3, 4). The survival of GC patients has gradually improved with the improvement of adjuvant treatment and perioperative care and the introduction of minimally invasive surgery (5, 6). However, almost half of GC patients experience recurrence, even after curative treatment. Once GC patients often experience recurrence, the prognosis is approximately ≤12 months (7, 8). To date, various prognostic factors have been evaluated to optimize GC treatment (9). Recently, inflammation and nutritional tools, such as neutrophil-to-lymphocyte ratio, C-reactive protein-to-albumin ratio, systemic inflation score, and platelet-to-albumin ratio have been evaluated and reported in GC patients (10-15). Among the various tools used to assess inflammation and nutrition, the Hemoglobin, Albumin, Lymphocytes, and Platelets (HALP) score has been developed and its application has been reported in certain malignancies (16). The HALP score is a novel immunonutritional marker that integrates several routinely collected indicators of the immune status (e.g., platelet and lymphocyte count) and the nutritional status (e.g., albumin), and hemoglobin (a marker for anemia). Recent studies have demonstrated that the perioperative immune status and nutritional status affect short-term oncological outcomes, such as the continuation of adjuvant treatment, the occurrence of adverse events of adjuvant treatment, as well as the occurrence of postoperative surgical complications and long-term oncological outcomes, such as overall survival and the recurrence pattern (17-19). However, reports on the impact of HALP scores on GC are limited. If HALP has a clinical impact on GC treatment, we hypothesized that HALP may be a promising marker for the perioperative chemotherapy and perioperative management of GC. To confirm our hypothesis, we evaluated the clinical impact of HALP in patients with GC who received curative treatment.

Patients and Methods

Patients. Patients with GC who underwent curative resection at the Yokohama City University from 2005 to 2020 were consecutively selected based on medical records. Patients who met all of the following criteria were eligible for inclusion in the present study: histologically confirmed adenocarcinoma; clinical stage I-III disease (defined according to the General Rules of the Japanese Gastric Cancer Association for Gastric Cancer, 15th edition) (20); received curative gastrectomy as a primary treatment for GC; and achievement complete (R0) resection (including radical lymph node dissection).

Surgical procedure and adjuvant treatment. In all cases, gastrectomy was performed with D1+ or D2 nodal dissection. Patients with pathological stage II or III GC received S-1-based adjuvant chemotherapy (21, 22).

Determination of the hemoglobin, albumin, lymphocyte, platelet (HALP) score. The HALP score was calculated using the following formula:

Embedded Image

Follow-up protocol. Patients were followed up at outpatient clinics. During follow-up examinations, the patients received hematological tests (including evaluation of tumor marker levels) and physical examinations at least every 3 months for 5 years after surgery. In addition, computed tomography (CT) examinations at 3-month intervals in the first 3 years after surgery, then at 6-month intervals until 5 years after surgery.

Evaluations and statistical analyses. The significance of variance between the NPS and different clinicopathological factors was analyzed using the chi-square test. A Kaplan–Meier analysis was conducted to generate overall survival and recurrence-free survival curves. Univariate and multivariate Cox proportional hazards models were used to analyze survival. p-Values of <0.05 were considered to indicate statistical significance. SPSS (v27.0 J Win; IBM, Armonk, NY, USA) was used to perform the statistical analyses. The institutional review board of Yokohama City University approved the present study.

Results

Patients. A total of 259 patients were included in the study. Among the 259 patients, 118 were <70 years of age and 141 were ≥70 years of age. One hundred eighty-three patients were male and 76 were female. According to previous reports and the 3- and 5-years overall survival rates, we set the cut-off value of the HALP score at 40 in the present study. Table I shows details of patient backgrounds. When comparing patient background factors between the HALP ≤40 and HALP >40 groups, there were significant differences in tumor status, such as T status, lymph node metastasis status, and lymphovascular invasion status. The incidence of ≥T2 was 57.0% in the HALP ≤40 group and 33.9% in the HALP >40 group (p<0.001). The incidence of lymph node metastasis was 41.5% in the HALP ≤40 group and 28.2% in the HALP >40 group (p=0.026). The incidence of lymphovascular invasion was 64.4% in the HALP ≤40 group and 46.8% in the HALP >40 group (p=0.004). Patients in the HALP ≤40 group had a much more aggressive tumor status than in the HALP >40 group.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table I.

Comparison of survival rates stratified by patient characteristics.

Survival analysis. The 3- and 5-year overall survival (OS) rates were 88.6% and 85.8%, respectively, in the HALP >40 group, and 70.3% and 57.2% in the HALP ≤40 group (Figure 1). The difference between the groups was significant (p<0.001). In the univariate analysis, age, T status, lymph node metastasis status, HALP score, lymphovascular invasion status, pathological type, and postoperative complication status were identified as significant prognostic factors for OS. In multivariate analysis, the HALP score remained a significant prognostic factor for OS [hazard ratio (HR)=2.679; 95% confidence interval (CI)=1.455-4.934, p=0.002] (Table II). In addition, the 3- and 5-year recurrence-free survival (RFS) rates were 84.5% and 83.3%, respectively, in the HALP >40 group, and 66.0% and 53.8% the HALP ≤40 group (Figure 2). The difference was statistically significant (p<0.001). In the univariate analysis, T status, lymph node metastasis status, HALP score, lymphovascular invasion status, pathological type, and postoperative complication status were identified as significant prognostic factors for RFS. In multivariate analysis, the HALP score remained a significant prognostic factor for RFS (HR=2.479, 95% CI=1.442-4.263, p=0.001) (Table III). When comparing the recurrence pattern between the two groups, the incidence of peritoneal recurrence was significantly higher in the HALP ≤40 group than in the HALP >40 group (18.6% vs. 4.8%, p<0.001) (Table IV). In addition, the incidence of lymph node recurrence was higher (with marginal significance) in the HALP ≤40 group than in the HALP >40 group (10.4% vs. 4.0%, p=0.05).

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Overall survival of gastric cancer patients in HALP >40 and HALP ≤40 groups. HALP: Hemoglobin, albumin, lymphocyte, platelet score.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table II.

Uni and Multivariate Cox proportional hazards analysis of clinicopathological factors for overall survival.

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Recurrence-free survival of gastric cancer patients in the HALP >40 and HALP ≤40 groups. HALP: Hemoglobin, albumin, lymphocyte, platelet score.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table III.

Uni and Multivariate Cox proportional hazards analysis of clinicopathological factors for recurrence free survival.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table IV.

Patterns of recurrence according to HALP score.

Perioperative clinical course. When comparing the perioperative clinical course between the HALP ≤40 and HALP >40 groups, there were some differences in the details of postoperative surgical complications and clinical course of adjuvant chemotherapy. Among postoperative surgical complications, the incidence of anastomotic leakage was higher in the HALP ≤40 group than in the HALP >40 group (11.9% vs. 5.6%, p=0.079). In the adjuvant chemotherapy course, the number of patients who developed postoperative surgical complications was significantly higher in the HALP ≤40 group than in the HALP >40 group (42.2% vs. 25.8%, p=0.005). However, the number of patients who received adjuvant chemotherapy in the HALP ≤40 group was lower than that in the HALP >40 group (68.4% vs. 84.3%, p=0.099).

Discussion

The aim of the present study was to evaluate the clinical impact of the HALP score in patients with GC who received curative treatment. The major finding was that the HALP score is a significant prognostic factor in GC. In addition, the HALP score status affects the postoperative clinical course, such as the occurrence of postoperative anastomotic leakage and the introduction of postoperative adjuvant chemotherapy. Thus, our results suggest that the HALP score affects both short- and long-term oncological outcomes. Therefore, the HALP score may be a promising prognostic factor for the treatment and management of GC.

In the present study, the prognosis of patients with GC was significantly worse in the HALP score ≤40 group than in the HALP score >40 group. In addition, the HALP score was identified as a significant prognostic factor for OS (HR=2.679; 95% CI=1.455-4.934, p=0.002). Although there are limited studies evaluating the clinical impact in patients with GC, similar results have been reported. Chen et al. clarified the clinical impact of HALP in 1,332 GC patients who received gastrectomy (23). They were divided into HALP-low and HALP-high groups at a cutoff value of 56.8. There were some differences in the background factors of the HALP <56.8 and HALP ≥56.8 groups. The HALP ≥56.8 group had a significantly lower rate of aggressive disease in comparison to the HALP <56.8 group. The median survival time was 67.7-68.8 months in the HALP <56.8 group and 108.0 months in the HALP ≥56.8 group. In addition, the 3-year OS rate was 57.7-59.7% in the HALP <56.8 group, and 73.5-74.7% in the HALP ≥56.8 group. There were significant differences in the median OS and the 3-year OS rates. In the prognostic factor analysis, HALP was selected as an independent prognostic factor in the multivariate analysis (HR=0.700-0.782). Wang et al. evaluated HALP as a predictive factor for lymph node metastasis in 349 patients with GC who underwent curative gastrectomy (24). They divided 349 patients with GC into HALP-high and HALP-low groups at a cutoff value of 35.3. In the multifactorial logistic analysis, HALP was selected as a predictive factor for lymph node metastasis in GC (odds ratio=2.276, 95%CI=1.075-4.818, p=0.032). Based on the present and previous studies, the HALP score is considered to have some clinical impact on the treatment and management of GC. Therefore, HALP may be a promising prognostic or predictive marker of GC.

Why does the HALP score affect long-term oncological outcomes in GC? Although no reports mention this issue, our study suggests a relationship between the HALP status and oncological outcomes. First, the HALP status was related to postoperative anastomotic leakage. In the present study, the HALP ≤40 group had a significantly higher incidence of postoperative anastomotic leakage than the HALP >40 group. The incidence of anastomotic leakage was higher in the HALP ≤40 group than in the HALP score >40 group (11.9% vs. 5.6%, p=0.079). Recently, we demonstrated that postoperative anastomotic leakage affects the survival of patients with gastrointestinal cancer (25). Thus, the HALP status may affect postoperative surgical complications, resulting in poor survival. Second, the HALP status was related to the introduction of postoperative adjuvant treatment. In the present study, the incidence of postoperative adjuvant treatment in the HALP ≤40 group was significantly lower than that in the HALP >40 group. The number of patients who received adjuvant chemotherapy was lower (with marginal significance) in the HALP ≤40 group than in the HALP score >40 group (68.4% vs. 84.3%, p=0.099). To date, pivotal studies have demonstrated that postoperative adjuvant treatment improves the survival of patients with GC. Thus, the patients in the HALP ≤40 group did not fully benefit from adjuvant treatment. The HALP status affects the introduction of postoperative adjuvant treatment, resulting in poor survival. However, the optimal relationship between the HALP status and oncological outcomes remains unclear, and further studies should be conducted to investigate the issue.

Study limitations. First, it was a retrospective study conducted at a single institution. Therefore, it may have been affected by selection and time biases. Second, the optimal cutoff value for HALP was unclear. Previous studies that evaluated HALP as a prognostic or predictive marker in patients with gastrointestinal cancer reported various cutoff values. Furthermore, previous studies also included various tumor stages and malignancy types. In addition, the methods used to detect the optimal cutoff value of HALP were also different. Therefore, our study needs to be validated in larger cohorts in the future.

In conclusion, the HALP score is a significant prognostic factor in GC. In addition, the HALP status affects the postoperative clinical course, including the occurrence of postoperative anastomotic leakage and the introduction of postoperative adjuvant chemotherapy. Our results suggest that the HALP score affects both short-term and long-term oncological outcomes. Thus, the HALP score may be a promising prognostic factor for the treatment and management of GC.

Acknowledgements

This study was supported in part by the nonprofit organization of the Yokoyama Surgical Research Group (YSRG).

Footnotes

  • Authors’ Contributions

    TA and YM contributed substantially to this concept and study design. TA, IH, YE, SY, MU, KN, KK, AT, made substantial contributions to the data acquisition, analysis, and interpretation. TA, AS, IH, YM and NY were involved in drafting and critically revising the manuscript for important intellectual content. TA and IH approved the final version of the manuscript.

  • Conflicts of Interest

    The Authors declare no conflicts of interest in association with the present study.

  • Received May 30, 2024.
  • Revision received July 2, 2024.
  • Accepted July 12, 2024.
  • Copyright © 2024 The Author(s). Published by the International Institute of Anticancer Research.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Bray F,
    2. Ferlay J,
    3. Soerjomataram I,
    4. Siegel RL,
    5. Torre LA,
    6. Jemal A
    : Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68(6): 394-424, 2018. DOI: 10.3322/caac.21492
    OpenUrlCrossRefPubMed
  2. ↵
    1. Ferlay J,
    2. Colombet M,
    3. Soerjomataram I,
    4. Parkin DM,
    5. Piñeros M,
    6. Znaor A,
    7. Bray F
    : Cancer statistics for the year 2020: An overview. Int J Cancer 149(4): 778-789, 2021. DOI: 10.1002/ijc.33588
    OpenUrlCrossRefPubMed
  3. ↵
    1. Lordick F,
    2. Carneiro F,
    3. Cascinu S,
    4. Fleitas T,
    5. Haustermans K,
    6. Piessen G,
    7. Vogel A,
    8. Smyth EC, ESMO Guidelines Committee
    : Gastric cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. Ann Oncol 33(10): 1005-1020, 2022. DOI: 10.1016/j.annonc.2022.07.004
    OpenUrlCrossRefPubMed
  4. ↵
    1. Ajani JA,
    2. D’Amico TA,
    3. Bentrem DJ,
    4. Chao J,
    5. Cooke D,
    6. Corvera C,
    7. Das P,
    8. Enzinger PC,
    9. Enzler T,
    10. Fanta P,
    11. Farjah F,
    12. Gerdes H,
    13. Gibson MK,
    14. Hochwald S,
    15. Hofstetter WL,
    16. Ilson DH,
    17. Keswani RN,
    18. Kim S,
    19. Kleinberg LR,
    20. Klempner SJ,
    21. Lacy J,
    22. Ly QP,
    23. Matkowskyj KA,
    24. McNamara M,
    25. Mulcahy MF,
    26. Outlaw D,
    27. Park H,
    28. Perry KA,
    29. Pimiento J,
    30. Poultsides GA,
    31. Reznik S,
    32. Roses RE,
    33. Strong VE,
    34. Su S,
    35. Wang HL,
    36. Wiesner G,
    37. Willett CG,
    38. Yakoub D,
    39. Yoon H,
    40. McMillian N,
    41. Pluchino LA
    : Gastric Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 20(2): 167-192, 2022. DOI: 10.6004/jnccn.2022.0008
    OpenUrlCrossRefPubMed
  5. ↵
    1. Aoyama T,
    2. Yoshikawa T
    : Adjuvant therapy for locally advanced gastric cancer. Surg Today 47(11): 1295-1302, 2017. DOI: 10.1007/s00595-017-1493-y
    OpenUrlCrossRefPubMed
  6. ↵
    1. Yoshikawa T,
    2. Rino Y,
    3. Yukawa N,
    4. Oshima T,
    5. Tsuburaya A,
    6. Masuda M
    : Neoadjuvant chemotherapy for gastric cancer in Japan: a standing position by comparing with adjuvant chemotherapy. Surg Today 44(1): 11-21, 2014. DOI: 10.1007/s00595-013-0529-1
    OpenUrlCrossRefPubMed
  7. ↵
    1. Shitara K,
    2. Rha SY,
    3. Wyrwicz LS,
    4. Oshima T,
    5. Karaseva N,
    6. Osipov M,
    7. Yasui H,
    8. Yabusaki H,
    9. Afanasyev S,
    10. Park YK,
    11. Al-Batran SE,
    12. Yoshikawa T,
    13. Yanez P,
    14. Dib Bartolomeo M,
    15. Lonardi S,
    16. Tabernero J,
    17. Van Cutsem E,
    18. Janjigian YY,
    19. Oh DY,
    20. Xu J,
    21. Fang X,
    22. Shih CS,
    23. Bhagia P,
    24. Bang YJ, KEYNOTE-585 investigators
    : Neoadjuvant and adjuvant pembrolizumab plus chemotherapy in locally advanced gastric or gastro-oesophageal cancer (KEYNOTE-585): an interim analysis of the multicentre, double-blind, randomised phase 3 study. Lancet Oncol 25(2): 212-224, 2024. DOI: 10.1016/S1470-2045(23)00541-7
    OpenUrlCrossRef
  8. ↵
    1. Bang YJ,
    2. Van Cutsem E,
    3. Feyereislova A,
    4. Chung HC,
    5. Shen L,
    6. Sawaki A,
    7. Lordick F,
    8. Ohtsu A,
    9. Omuro Y,
    10. Satoh T,
    11. Aprile G,
    12. Kulikov E,
    13. Hill J,
    14. Lehle M,
    15. Rüschoff J,
    16. Kang YK, ToGA Trial Investigators
    : Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial. Lancet 376(9742): 687-697, 2010. DOI: 10.1016/S0140-6736(10)61121-X
    OpenUrlCrossRefPubMed
  9. ↵
    1. Aoyama T,
    2. Hara K,
    3. Kazama K,
    4. Maezawa Y
    : Clinical impact of nutrition and inflammation assessment tools in gastric cancer treatment. Anticancer Res 42(11): 5167-5180, 2022. DOI: 10.21873/anticanres.16023
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Hashimoto I,
    2. Tanabe M,
    3. Onuma S,
    4. Morita J,
    5. Nagasawa S,
    6. Maezawa Y,
    7. Kanematsu K,
    8. Aoyama T,
    9. Yamada T,
    10. Ogata T,
    11. Yukawa N,
    12. Rino Y,
    13. Saito A,
    14. Oshima T
    : A propensity-matched analysis of the prognostic value of advanced lung cancer inflammation index in patients with gastric cancer after curative resection. Oncol Lett 27(6): 285, 2024. DOI: 10.3892/ol.2024.14418
    OpenUrlCrossRef
    1. Aoyama T,
    2. Hashimoto I,
    3. Maezawa Y,
    4. Hara K,
    5. Tamagawa A,
    6. Cho H,
    7. Morita J,
    8. Tanabe M,
    9. Numata M,
    10. Kawahara S,
    11. Oshima T,
    12. Saito A,
    13. Yukawa N
    : The clinical impact of the prognostic immune and nutritional index in gastric cancer patients who received curative treatment. Anticancer Res 44(5): 2231-2238, 2024. DOI: 10.21873/anticanres.17030
    OpenUrlAbstract/FREE Full Text
    1. Aoyama T,
    2. Hashimoto I,
    3. Maezawa Y,
    4. Hara K,
    5. Tamagawa A,
    6. Cho H,
    7. Numata M,
    8. Morita J,
    9. Tanabe M,
    10. Kawahara S,
    11. Oshima T,
    12. Saito A,
    13. Yukawa N,
    14. Rino Y
    : Clinical impact of the lymphocyte-to-monocyte ratio in patients with gastric cancer who received curative treatment. Anticancer Res 44(4): 1567-1574, 2024. DOI: 10.21873/anticanres.16954
    OpenUrlAbstract/FREE Full Text
    1. Fukuda M,
    2. Aoyama T,
    3. Hashimoto I,
    4. Maezawa Y,
    5. Kato A,
    6. Hara K,
    7. Kazama K,
    8. Komori K,
    9. Tamagawa A,
    10. Cho H,
    11. Ishiguro T,
    12. Segami K,
    13. Nakazono M,
    14. Otani K,
    15. Sawazaki S,
    16. Numata M,
    17. Kawahara S,
    18. Oshima T,
    19. Saito A,
    20. Yukawa N,
    21. Rino Y
    : Albumin-globulin ratio is an independent prognostic factor for gastric cancer patients who received curative treatment. In Vivo 38(2): 904-910, 2024. DOI: 10.21873/invivo.13517
    OpenUrlAbstract/FREE Full Text
    1. Otani K,
    2. Aoyama T,
    3. Maezawa Y,
    4. Hashimoto I,
    5. Kamiya N,
    6. Kato A,
    7. Numata M,
    8. Kawahara S,
    9. Tamagawa A,
    10. Nakazono M,
    11. Tamagawa H,
    12. Segami K,
    13. Kazama K,
    14. Sawazaki S,
    15. Yukawa N,
    16. Saito A,
    17. Rino Y
    : The clinical benefit of the modified neutrophil-platelet score as a surrogate prognostic marker in patients with resectable gastric cancer. In Vivo 38(2): 897-903, 2024. DOI: 10.21873/invivo.13516
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Oshima T,
    2. Hashimoto I,
    3. Hiroshima Y,
    4. Kimura Y,
    5. Tanabe M,
    6. Onuma S,
    7. Morita J,
    8. Nagasawa S,
    9. Kanematsu K,
    10. Aoyama T,
    11. Yamada T,
    12. Ogata T,
    13. Rino Y,
    14. Saito A,
    15. Miyagi Y
    : Clinical significance of tryptophanyl-tRNA synthetase 1 gene expression in patients with locally advanced gastric cancer. Anticancer Res 44(2): 673-678, 2024. DOI: 10.21873/anticanres.16857
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Farag CM,
    2. Antar R,
    3. Akosman S,
    4. Ng M,
    5. Whalen MJ
    : What is hemoglobin, albumin, lymphocyte, platelet (HALP) score? A comprehensive literature review of HALP’s prognostic ability in different cancer types. Oncotarget 14: 153-172, 2023. DOI: 10.18632/oncotarget.28367
    OpenUrlCrossRef
  13. ↵
    1. Aoyama T,
    2. Maezawa Y,
    3. Hashimoto I,
    4. Rino Y,
    5. Oshima T
    : Clinical impact of nutrition and inflammation assessment tools in pancreatic cancer treatment. Anticancer Res 43(9): 3849-3860, 2023. DOI: 10.21873/anticanres.16572
    OpenUrlAbstract/FREE Full Text
    1. Aoyama T,
    2. Yukawa N,
    3. Saito A
    : Clinical impact of nutrition and inflammation assessment tools in colorectal cancer treatment. Anticancer Res 44(4): 1335-1351, 2024. DOI: 10.21873/anticanres.16930
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Aoyama T,
    2. Kazama K,
    3. Maezawa Y,
    4. Hara K
    : Usefulness of nutrition and inflammation assessment tools in esophageal cancer treatment. In Vivo 37(1): 22-35, 2023. DOI: 10.21873/invivo.13051
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Japanese Gastric Cancer Association
    : Japanese classification of gastric carcinoma: 3rd English edition. Gastric Cancer 14(2): 101-112, 2011. DOI: 10.1007/s10120-011-0041-5
    OpenUrlCrossRefPubMed
  16. ↵
    1. Sakuramoto S,
    2. Sasako M,
    3. Yamaguchi T,
    4. Kinoshita T,
    5. Fujii M,
    6. Nashimoto A,
    7. Furukawa H,
    8. Nakajima T,
    9. Ohashi Y,
    10. Imamura H,
    11. Higashino M,
    12. Yamamura Y,
    13. Kurita A,
    14. Arai K, ACTS-GC Group
    : Adjuvant chemotherapy for gastric cancer with S-1, an oral fluoropyrimidine. N Engl J Med 357(18): 1810-1820, 2007. DOI: 10.1056/NEJMoa072252
    OpenUrlCrossRefPubMed
  17. ↵
    1. Yoshida K,
    2. Kodera Y,
    3. Kochi M,
    4. Ichikawa W,
    5. Kakeji Y,
    6. Sano T,
    7. Nagao N,
    8. Takahashi M,
    9. Takagane A,
    10. Watanabe T,
    11. Kaji M,
    12. Okitsu H,
    13. Nomura T,
    14. Matsui T,
    15. Yoshikawa T,
    16. Matsuyama J,
    17. Yamada M,
    18. Ito S,
    19. Takeuchi M,
    20. Fujii M
    : Addition of docetaxel to oral fluoropyrimidine improves efficacy in patients with stage III gastric cancer: interim analysis of JACCRO GC-07, a randomized controlled trial. J Clin Oncol 37(15): 1296-1304, 2019. DOI: 10.1200/JCO.18.01138
    OpenUrlCrossRefPubMed
  18. ↵
    1. Chen XL,
    2. Xue L,
    3. Wang W,
    4. Chen HN,
    5. Zhang WH,
    6. Liu K,
    7. Chen XZ,
    8. Yang K,
    9. Zhang B,
    10. Chen ZX,
    11. Chen JP,
    12. Zhou ZG,
    13. Hu JK
    : Prognostic significance of the combination of preoperative hemoglobin, albumin, lymphocyte and platelet in patients with gastric carcinoma: a retrospective cohort study. Oncotarget 6(38): 41370-41382, 2015. DOI: 10.18632/oncotarget.5629
    OpenUrlCrossRefPubMed
  19. ↵
    1. Wang X,
    2. He Q,
    3. Liang H,
    4. Liu J,
    5. Xu X,
    6. Jiang K,
    7. Zhang J
    : A novel robust nomogram based on preoperative hemoglobin and albumin levels and lymphocyte and platelet counts (HALP) for predicting lymph node metastasis of gastric cancer. J Gastrointest Oncol 12(6): 2706-2718, 2021. DOI: 10.21037/jgo-21-507
    OpenUrlCrossRef
  20. ↵
    1. Aoyama T,
    2. Kazama K,
    3. Atsumi Y,
    4. Tamagawa H,
    5. Tamagawa A,
    6. Komori K,
    7. Machida D,
    8. Maezawa Y,
    9. Kano K,
    10. Hara K,
    11. Murakawa M,
    12. Numata M,
    13. Oshima T,
    14. Yukawa N,
    15. Masuda M,
    16. Rino Y
    : Clinical influence of anastomotic leakage on esophageal cancer survival and recurrence. Anticancer Res 40(1): 443-449, 2020. DOI: 10.21873/anticanres.13972
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top

In this issue

In Vivo: 38 (5)
In Vivo
Vol. 38, Issue 5
September-October 2024
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Back Matter (PDF)
  • Ed Board (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on In Vivo.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
The Clinical Impact of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) in Gastric Cancer Patients Who Receive Curative Treatment
(Your Name) has sent you a message from In Vivo
(Your Name) thought you would like to see the In Vivo web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
1 + 0 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
The Clinical Impact of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) in Gastric Cancer Patients Who Receive Curative Treatment
TORU AOYAMA, YUKIO MAEZAWA, ITARU HASHIMOTO, RYUKI ESASHI, SOSUKE YAMAMOTO, MAMORU UCHIYAMA, KOJI NUMATA, KEISUKE KAZAMA, AYAKO TAMAGAWA, AYA SAITO, NORIO YUKAWA
In Vivo Sep 2024, 38 (5) 2494-2500; DOI: 10.21873/invivo.13720

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Reprints and Permissions
Share
The Clinical Impact of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) in Gastric Cancer Patients Who Receive Curative Treatment
TORU AOYAMA, YUKIO MAEZAWA, ITARU HASHIMOTO, RYUKI ESASHI, SOSUKE YAMAMOTO, MAMORU UCHIYAMA, KOJI NUMATA, KEISUKE KAZAMA, AYAKO TAMAGAWA, AYA SAITO, NORIO YUKAWA
In Vivo Sep 2024, 38 (5) 2494-2500; DOI: 10.21873/invivo.13720
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Patients and Methods
    • Results
    • Discussion
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

  • The Hemoglobin, Albumin, Lymphocyte and Platelet (HALP) Score as an Independent Prognostic Factor for Esophageal Cancer Patients who Received Curative Treatment
  • Impact of Pre-operative Lymphocyte and Albumin Combination on Adjuvant Chemotherapy and Prognosis of Gastric Cancer
  • Google Scholar

More in this TOC Section

  • NLRP3 and RANK-RANKL-OPG Pathway-related Gene Expression Levels in Children With Autism Spectrum Disorder
  • Stable “Salivary Viral Road Ratios” in Individuals Infected With Omicron Variants
  • HLA Class I Loss and Resistance to Immunotherapy in Pulmonary Metastasis of Hypopharyngeal Cancer
Show more Clinical Studies

Keywords

  • hemoglobin
  • Albumin
  • lymphocyte
  • platelet
  • Gastric cancer
In Vivo

© 2026 In Vivo

Powered by HighWire