123
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Prognostic Value of Body Composition and Systemic Inflammatory Markers in Patients with Locally Advanced Cervical Cancer Following Chemoradiotherapy

, , , , , , & show all
Pages 5145-5156 | Received 18 Aug 2023, Accepted 31 Oct 2023, Published online: 09 Nov 2023

References

  • Elinav E, Nowarski R, Thaiss CA, et al. Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms. Nat Rev Cancer. 2013;13(11):759–771. doi:10.1038/nrc3611
  • Xie H, Ruan G, Ge Y, et al. Inflammatory burden as a prognostic biomarker for cancer. Clin Nutr. 2022;41(6):1236–1243. doi:10.1016/j.clnu.2022.04.019
  • Yamamoto T, Kawada K, Obama K. Inflammation-related biomarkers for the prediction of prognosis in colorectal cancer patients. Int J Mol Sci. 2021;22(15):8002. doi:10.3390/ijms22158002
  • Meng L, Yang Y, Hu X, et al. Prognostic value of the pretreatment systemic immune-inflammation index in patients with prostate cancer: a systematic review and meta-analysis. J Transl Med. 2023;21(1):79. doi:10.1186/s12967-023-03924-y
  • Dinca A-L, Diaconu A, Birla RD, et al. Systemic inflammation factors as survival prognosis markers in ovarian neoplasm and the relationship with cancer-associated inflammatory mediators—a review. Int J Immunopathol Pharmacol. 2023;37:3946320231178769. doi:10.1177/03946320231178769
  • Huang H, Liu Q, Zhu L, et al. Prognostic value of preoperative systemic immune-inflammation index in patients with cervical cancer. Sci Rep. 2019;9(1):3284. doi:10.1038/s41598-019-39150-0
  • Holub K, Biete A. Impact of systemic inflammation biomarkers on the survival outcomes of cervical cancer patients. Clin Transl Oncol. 2018;21(7):836–844. doi:10.1007/s12094-018-1991-4
  • Han X, Liu S, Yang G, et al. Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: a systemic review, meta-analysis, and meta-regression of observational studies. Gynecol Oncol. 2021;160(1):351–360. doi:10.1016/j.ygyno.2020.10.011
  • Bates DDB, Pickhardt PJ. CT-derived body composition assessment as a prognostic tool in oncologic patients: from opportunistic research to artificial intelligence–based clinical implementation. Am J Roentgenol. 2022;219(4):671–680. doi:10.2214/ajr.22.27749
  • Mourtzakis M, Prado CMM, Lieffers JR, et al. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metabol. 2008;33(5):997–1006. doi:10.1139/h08-075
  • Nagao Y, Yokoi A, Yoshida K, et al. Clinical effects of cervical conization with positive margins in cervical cancer. Sci Rep. 2021;11(1):23288. doi:10.1038/s41598-021-02635-y
  • Singh NAS. Histopathologic parameters of prognosis in cervical cancer--a review. Int J Gynecol Cancer. 2004;14(5):741–750. doi:10.1111/j.1048-891X.2004.014504.x
  • Cibula D, Raspollini MR, Planchamp F, et al. ESGO/ESTRO/ESP Guidelines for the management of patients with cervical cancer – update 2023*. Int J Gynecol Cancer. 2023;33(5):649–666. doi:10.1136/ijgc-2023-004429
  • Lee J, Chang C-L, Lin J-B, et al. Skeletal muscle loss is an imaging biomarker of outcome after definitive chemoradiotherapy for locally advanced cervical cancer. Clin Cancer Res. 2018;24(20):5028–5036. doi:10.1158/1078-0432.Ccr-18-0788
  • Yun P, Xia B, Tian X, et al. Body composition and risk of major gynecologic malignancies: results from the UK Biobank prospective cohort. Cancer Med. 2021;10(13):4522–4531. doi:10.1002/cam4.3925
  • Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol. 2004;97(6):2333–2338. doi:10.1152/japplphysiol.00744.2004
  • Mitsiopoulos NBR, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol. 1998;85(1):115–122. doi:10.1152/jappl.1998.85.1.115
  • Martin L, Birdsell L, MacDonald N, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31(12):1539–1547. doi:10.1200/jco.2012.45.2722
  • Camp RLD, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;10(21):7252–7259. doi:10.1158/1078-0432.CCR-04-0713
  • Ayhan S, Akar S, Kar İ, et al. Prognostic value of systemic inflammatory response markers in cervical cancer. J Obstet Gynaecol. 2022;42(6):2411–2419. doi:10.1080/01443615.2022.2069482
  • Tian BW, Yang CC, Yan LJ, et al. Systemic immune-inflammation index predicts prognosis of cancer immunotherapy: systemic review and meta-analysis. Immunotherapy. 2022;14(18):1481–1496. doi:10.2217/imt-2022-0133
  • Liu P, Jiang Y, Zheng X, et al. Pretreatment systemic immune-inflammation index can predict response to neoadjuvant chemotherapy in cervical cancer at stages IB2-IIB. Pathol Oncol Res. 2022;28:1610294. doi:10.3389/pore.2022.1610294
  • Haraga J, Nakamura K, Omichi C, et al. Pretreatment prognostic nutritional index is a significant predictor of prognosis in patients with cervical cancer treated with concurrent chemoradiotherapy. Mol Clin Oncol. 2016;5(5):567–574. doi:10.3892/mco.2016.1028
  • Gangopadhyay A. Prognostic nutritional index and clinical response in locally advanced cervical cancer. Nutr Cancer. 2020;72(8):1438–1442. doi:10.1080/01635581.2020.1729820
  • Caan BJ, Cespedes Feliciano EM, Prado CM, et al. Association of muscle and adiposity measured by computed tomography with survival in patients with nonmetastatic breast cancer. JAMA Oncol. 2018;4(6):798–804. doi:10.1001/jamaoncol.2018.0137
  • Caan BJ, Meyerhardt JA, Kroenke CH, et al. Explaining the obesity paradox: the association between Body Composition and Colorectal Cancer Survival (C-SCANS Study). Cancer Epidemiol Biomarkers Prevent. 2017;26(7):1008–1015. doi:10.1158/1055-9965.Epi-17-0200
  • Li Y, Wang W-B, Yang L, et al. The combination of body composition conditions and systemic inflammatory markers has prognostic value for patients with gastric cancer treated with adjuvant chemoradiotherapy. Nutrition. 2022;93:111464. doi:10.1016/j.nut.2021.111464
  • Yamahara K, Mizukoshi A, Lee K, et al. Sarcopenia with inflammation as a predictor of survival in patients with head and neck cancer. Auris Nasus Larynx. 2021;48(5):1013–1022. doi:10.1016/j.anl.2021.03.021
  • Go S-I, Park MJ, Song H-N, et al. Sarcopenia and inflammation are independent predictors of survival in male patients newly diagnosed with small cell lung cancer. Support Care Cancer. 2015;24(5):2075–2084. doi:10.1007/s00520-015-2997-x
  • Zhang X, Li H, He M, et al. Immune system and sarcopenia: presented relationship and future perspective. Exp Gerontol. 2022;164:111823. doi:10.1016/j.exger.2022.111823
  • Iyengar NM, Hudis CA, Dannenberg AJ. Obesity and cancer: local and systemic mechanisms. Annu Rev Med. 2015;66(1):297–309. doi:10.1146/annurev-med-050913-022228
  • Iyengar NM, Gucalp A, Dannenberg AJ, et al. Obesity and cancer mechanisms: tumor microenvironment and inflammation. J Clin Oncol. 2016;34(35):4270–4276. doi:10.1200/jco.2016.67.4283
  • Liu C, Zhang M, Yan X, et al. Single-cell dissection of cellular and molecular features underlying human cervical squamous cell carcinoma initiation and progression. Sci Adv. 2023;9(4):eadd8977. doi:10.1126/sciadv.add8977