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ePoster Display

920P - The sarcopenia skeletal muscle mass index (SMI) has a three-tier survival effect in HNSCC, which can be predicted by hemoglobin (Hb), lymphocytes (Ly) and creatinine (Cre)

Date

16 Sep 2021

Session

ePoster Display

Topics

Tumour Site

Head and Neck Cancers

Presenters

Simona Guerriero

Citation

Annals of Oncology (2021) 32 (suppl_5): S786-S817. 10.1016/annonc/annonc704

Authors

S. Guerriero1, C. Morelli1, M. Rofei1, S. Riondino1, R. Argirò2, D. Morosetti2, F. Gasparrini2, D. Nitti1, M. Benassi3, S. Di Girolamo4, R.M. D'Angelillo3, V. Formica1, M. Roselli5

Author affiliations

  • 1 Medical Oncology Unit, "Tor Vergata" University Hospital, 00133 - Rome/IT
  • 2 Department Of Interventional Radiology, University Hospital "Tor Vergata", Rome/IT
  • 3 Radiotherapy Unit, Department Of Oncohematology, University of Rome Tor Vergata, Rome/IT
  • 4 Department Of Otorhinolaryngology, University of Rome Tor Vergata, Rome/IT
  • 5 Department Of Systems Medicine, Medical Oncology - University of Rome Tor Vergata, 00133 - Rome/IT

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Abstract 920P

Background

In cancer, sarcopenia is an important predictor of adverse outcome and treatment-related toxicity. SMI is an established surrogate of sarcopenia for advanced head and neck squamous cell carcinoma (aHNSCC) patients (pts). However, ideal cut-off values for prognostication and biochemical predictors of SMI are under reported for pts approaching a first-line chemotherapy.

Methods

SMI was calculated as per standard at the baseline CT scan in consecutive aHNSCC pts candidate for a first-line chemotherapy. Hazard Ratio Smoothed Curve (HRSC) analysis was used to identify ideal SMI cut-off values. Multivariate logistic regression (MLR) with LASSO analysis was performed to identify biochemical predictors of poor SMI. Survival was reported in months (mo).

Results

HRSC revealed a three-tier prognostic effect of SMI in 83 included pts: SMI <31 (poor risk, mOS 9.2 mo), SMI 31-44 (intermediate risk, mOS 33.1 mo), SMI >44 (good risk, mOS not reached after a mFollow-Up of 38.6 mo), HR of 11.4 (p=0.0003) and 4.2 (p=0.02) for poor and intermediate risk, respectively, taking as a reference SMI >44. Twenty biochemical variables were analyzed with MLR-LASSO and Hb <12 g/dL, Ly <1.5/mL and Cre <0.8 mg/dL were all found to be independent predictors of poor SMI: Odds Ratio (OR) 13.7 (p=0.004), 12.9 (p=0.009) and 14.9 (p=0.03), respectively. These three variables were used to build a model with a discriminatory power of 92% (C-statistics). The prevalence of poor SMI was for all three predictors unfavorable, mixed unfavorable/favorable and all three favorable of 66% (OR 29860.7), 13% (OR 2132.8) and 0% (reference), respectively, p <0.0001.

Conclusions

SMI was confirmed to be a powerful prognostic factor in HNSCC patients with three distinct risk categories. We built a model based on 3 routinely available biochemical parameters that can identify those sarcopenic patients with a poorer outcome.

Clinical trial identification

Editorial acknowledgement

This research work has been conducted under the Programme on Experimental System and Medicine (XXXV cycle) at the University of Rome Tor Vergata.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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