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The value of CRP-albumin-lymphocyte index (CALLY index) as a prognostic biomarker in patients with non-small cell lung cancer

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Abstract

Objective

The C-reactive protein-albumin-lymphocyte (CALLY) index is a new index related to inflammation, immunity, and nutrition. We investigated whether it can predict the prognosis of patients with non-small cell lung cancer (NSCLC) and developed a prognostic model including CALLY index.

Research methods and procedures

Data from patients with NSCLC who were followed up in the INSCOC database from May 2013 to December 2018 were retrospectively analyzed. Simple random sampling by splitting these patients into training (n = 1307) and validation cohorts (n = 557) resulted in a sample size ratio of 7:3. Using the results of COX regression analysis of the training cohort, a nomogram model for predicting 3- and 5-year overall survival (OS) was established and validated internally. The calibration and clinical decision curve were used to evaluate the prediction accuracy and clinical application ability of the nomogram and compared with the TNM staging system for lung cancer.

Results

Sex, TNM stage, surgical treatment, BMI, CALLY, and HGS were independent risk factors for the prognosis of NSCLC patients. The OS of NSCLC patients with a low CALLY index score was significantly worse than that of patients with a high CALLY index (P < 0.001). The CALLY-based nomogram had a good predictive prognostic power, with a C-index of 0.697. Compared with the traditional TNM staging system, our prognostic nomogram had better resolution and accuracy in predicting the 3-year and 5-year OS. Decision curve analysis showed that this prognostic model has a clinical application value.

Conclusions

The CALLY index is a valuable biomarker for evaluating the prognosis of patients with lung cancer. The nomogram based on the CALLY index is highly effective in predicting OS in patients with NSCLC. The results of this study provide a reference tool for clinicians to guide the personalized treatment of patients with lung cancer.

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Data Availability

All data needed to evaluate the conclusions of the study are presented in this paper and/or the Supplementary Materials. Additional data related to this study are requested from the authors.

Abbreviations

CALLY:

CRP-albumin-lymphocyte index

CONUT:

Controlling Nutritional Status score

COPD:

Chronic obstructive pulmonary disease

HGS:

Hand grip strength

NLR:

Neutrophil/lymphocyte ratio

NSCLC:

Non-small cell lung cancer

PLR:

Platelet/lymphocyte ratio

PNI:

Prognostic nutritional index

References

  1. Qiu H, Cao S, Xu R (2021) Cancer incidence, mortality, and burden in China: a time-trend analysis and comparison with the United States and United Kingdom based on the global epidemiological data released in 2020 [J]. Cancer Commun (Lond) 41(10):1037–1048

    Article  PubMed  Google Scholar 

  2. Liu X, Yu Y, Wang M et al (2020) The mortality of lung cancer attributable to smoking among adults in China and the United States during 1990–2017 [J]. Cancer Commun (Lond) 40(11):611–619

    Article  PubMed  Google Scholar 

  3. Cao M, Chen W (2019) Epidemiology of lung cancer in China [J]. Thorac Cancer 10(1):3–7

    Article  PubMed  Google Scholar 

  4. Herbst RS, Morgensztern D, Boshoff C (2018) The biology and management of non-small cell lung cancer [J]. Nature 553(7689):446–454

    Article  CAS  PubMed  Google Scholar 

  5. Alwarawrah Y, Kiernan K, Maciver NJ (2018) Changes in nutritional status impact immune cell metabolism and function [J]. Front Immunol 9:1055

    Article  PubMed  PubMed Central  Google Scholar 

  6. Zhang Q, Song MM, Zhang X et al (2021) Association of systemic inflammation with survival in patients with cancer cachexia: results from a multicentre cohort study [J]. J Cachexia Sarcopenia Muscle 12(6):1466–1476

    Article  PubMed  PubMed Central  Google Scholar 

  7. Diem S, Schmid S, Krapf M et al (2017) Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as prognostic markers in patients with non-small cell lung cancer (NSCLC) treated with nivolumab [J]. Lung Cancer 111:176–81

    Article  PubMed  Google Scholar 

  8. Liu XY, Zhang X, Zhang Q et al (2022) Value of the Controlling Nutritional Status score in predicting the prognosis of patients with lung cancer: a multicenter, retrospective study. JPEN J Parenter Enteral Nutr 46(6):1343–1352. https://doi.org/10.1002/jpen.2321

    Article  PubMed  Google Scholar 

  9. Zhang X, Li JH, Zhang Q et al (2021) Relationship between prognostic nutritional index and mortality in overweight or obese patients with cancer: a multicenter observational study [J]. J Inflamm Res 14:3921–32

    Article  PubMed  PubMed Central  Google Scholar 

  10. Salinas M, Flores E, Blasco A et al (2020) CONUT: a tool to assess nutritional status. First application in a primary care population. Diagnosis (Berl) 8(3):373–376. https://doi.org/10.1515/dx-2020-0073

    Article  PubMed  Google Scholar 

  11. Müller L, Hahn F, Mähringer-Kunz A et al (2021) Immunonutritive scoring for patients with hepatocellular carcinoma undergoing transarterial chemoembolization: evaluation of the CALLY index. Cancers (Basel) 13(19):5018. https://doi.org/10.3390/cancers13195018

  12. Song C, Cao J, Zhang F et al (2019) Nutritional risk assessment by scored patient-generated subjective global assessment associated with demographic characteristics in 23,904 common malignant tumors patients [J]. Nutr Cancer 71(1):50–60

    Article  PubMed  Google Scholar 

  13. Ottery FD (1994) Cancer cachexia: prevention, early diagnosis, and management [J]. Cancer Pract 2(2):123–131

    CAS  PubMed  Google Scholar 

  14. Kosaka H, Ueno M, Komeda K et al (2022) The impact of a preoperative staging system on accurate prediction of prognosis in intrahepatic cholangiocarcinoma. Cancers (Basel) 14(5):1107. https://doi.org/10.3390/cancers14051107

  15. Mandaliya H, Jones M, Oldmeadow C et al (2019) Prognostic biomarkers in stage IV non-small cell lung cancer (NSCLC): neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio (PLR) and advanced lung cancer inflammation index (ALI) [J]. Transl Lung Cancer Res 8(6):886–894

    Article  PubMed  PubMed Central  Google Scholar 

  16. Wang J, Liu Y, Mi X et al (2020) The prognostic value of prognostic nutritional index (PNI) and neutrophil to lymphocyte ratio (NLR) for advanced non-small cell lung cancer treated with platinum-based chemotherapeutics [J]. Ann Palliat Med 9(3):967–978

    Article  CAS  PubMed  Google Scholar 

  17. Matsubara T, Takamori S, Haratake N et al (2021) Identification of the best prognostic marker among immunonutritional parameters using serum C-reactive protein and albumin in non-small cell lung cancer [J]. Ann Surg Oncol 28(6):3046–3054

    Article  PubMed  Google Scholar 

  18. Okugawa Y, Toiyama Y, Yamamoto A et al (2020) Lymphocyte-C-reactive protein ratio as promising new marker for predicting surgical and oncological outcomes in colorectal cancer [J]. Ann Surg 272(2):342–351

    Article  PubMed  Google Scholar 

  19. Iida H, Tani M, Komeda K et al (2022) Superiority of CRP-albumin-lymphocyte index (CALLY index) as a non-invasive prognostic biomarker after hepatectomy for hepatocellular carcinoma [J]. HPB (Oxford) 24(1):101–115

    Article  PubMed  Google Scholar 

  20. Cong M, Song C, Xu H et al (2022) The patient-generated subjective global assessment is a promising screening tool for cancer cachexia. BMJ Support Palliat Care 12(e1):e39–e46. https://doi.org/10.1136/bmjspcare-2020-002296

    Article  PubMed  Google Scholar 

  21. Gatta A, Verardo A, Bolognesi M (2012) Hypoalbuminemia [J]. Intern Emerg Med 7(Suppl 3):S193-9

    Article  PubMed  Google Scholar 

  22. Imai D, Maeda T, Shimokawa M et al (2020) Prognostic nutritional index is superior as a predictor of prognosis among various inflammation-based prognostic scores in patients with hepatocellular carcinoma after curative resection [J]. Hepatol Res 50(1):101–109

    Article  CAS  PubMed  Google Scholar 

  23. Stanton SE, Disis ML (2016) Clinical significance of tumor-infiltrating lymphocytes in breast cancer [J]. J Immunother Cancer 4:59

    Article  PubMed  PubMed Central  Google Scholar 

  24. Hara M, Yonei A, Ayabe T et al (2010) Postoperative serum C-reactive protein levels in non-small cell lung cancer patients [J]. Ann Thorac Cardiovasc Surg 16(2):85–90

    PubMed  Google Scholar 

  25. Hart PC, Rajab IM, Alebraheem M et al (2020) C-reactive protein and cancer-diagnostic and therapeutic insights [J]. Front Immunol 11:595835

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Loeb LA, Ernster VL, Warner KE et al (1984) Smoking and lung cancer: an overview [J]. Cancer Res 44(12 Pt 1):5940–5958

    CAS  PubMed  Google Scholar 

  27. de Groot P, Munden RF (2012) Lung cancer epidemiology, risk factors, and prevention [J]. Radiol Clin North Am 50(5):863–876

    Article  PubMed  Google Scholar 

  28. Hoy H, Lynch T, Beck M (2019) Surgical treatment of lung cancer [J]. Crit Care Nurs Clin North Am 31(3):303–313

    Article  PubMed  Google Scholar 

  29. Woodard GA, Jones KD, Jablons DM (2016) Lung cancer staging and prognosis [J]. Cancer Treat Res 170:47–75

    Article  PubMed  Google Scholar 

  30. Zhou W, Liu G, Hung RJ et al (2021) Causal relationships between body mass index, smoking and lung cancer: univariable and multivariable Mendelian randomization [J]. Int J Cancer 148(5):1077–1086

    Article  CAS  PubMed  Google Scholar 

  31. Yin L, Zhang L, Li N et al (2021) Comparison of the AWGS and optimal stratification-defined handgrip strength thresholds for predicting survival in patients with lung cancer [J]. Nutrition 90:111258

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to express our sincere thanks to the INSCOC project members for their substantial work on data collection and patient follow-up.

Funding

This work was supported by the National Key Research and Development Program (2022YFC2009600) to Dr. Hanping Shi.

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Authors and Affiliations

Authors

Contributions

Han-Ping Shi and Li Deng: funding acquisition and resources; Qi Zhang, Xi Zhang, and Guo-Tian Ruan: conceptualization; Xiao-Yue Liu, Hai-Lun Xie, Yi-Zhong Ge, and Meng-Meng Song: data curation and visualization; Xiao-Yue Liu: writing—original draft; and Tong Liu: writing—review and editing. All authors critically revised the manuscript, agreed to be fully accountable for ensuring the integrity and accuracy of the work, and read and approved the final manuscript.

Corresponding author

Correspondence to Han-Ping Shi.

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Liu, XY., Zhang, X., Zhang, Q. et al. The value of CRP-albumin-lymphocyte index (CALLY index) as a prognostic biomarker in patients with non-small cell lung cancer. Support Care Cancer 31, 533 (2023). https://doi.org/10.1007/s00520-023-07997-9

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