Development of a predictive model for patients with bone metastases referred to palliative radiotherapy: Secondary analysis of a multicenter study (the PRAIS trial)

被引:0
作者
Rossi, Romina [1 ,2 ]
Medici, Federica [2 ,3 ]
Habberstad, Ragnhild [4 ,5 ]
Klepstad, Pal [6 ,7 ]
Cilla, Savino [8 ]
Dall'Agata, Monia [9 ]
Kaasa, Stein [10 ]
Caraceni, Augusto Tommaso [11 ,12 ]
Morganti, Alessio Giuseppe [2 ,3 ]
Maltoni, Marco [13 ]
机构
[1] IRCCS, Ist Romagnolo Studio Tumori IRST Dino Amadori, I-47014 Meldola, Italy
[2] Alma Mater Studiorum Univ Bologna, Dept Med & Surg Sci DIMEC, Radiat Oncol, Bologna, Italy
[3] IRCCS Azienda Osped Univ Bologna, Radiat Oncol, Via Albertoni 15, I-40138 Bologna, Italy
[4] Norwegian Univ Sci & Technol, Dept Clin & Mol Med, Trondheim, Norway
[5] St Olavs Univ Hosp, Dept Oncol, Trondheim, Norway
[6] Norwegian Univ Sci & Technol, Dept Circulat & Med Imaging, Trondheim, Norway
[7] St Olavs Univ Hosp, Dept Anesthesiol & Intens Care Med, Trondheim, Norway
[8] Responsible Res Hosp, Med Phys Unit, Campobasso, Italy
[9] IRCCS, Ist Romagnolo Studio Tumori IRST Dino Amadori, Unit Biostat & Clin Trials, Meldola, Italy
[10] Oslo Univ Hosp, Dept Oncol, Oslo, Norway
[11] Fdn IRCCS Ist Nazl Tumori, Palliat Care Pain Therapy & Rehabil Unit, Milan, Italy
[12] Univ Milan, Dept Clin Sci & Community Hlth, Milan, Italy
[13] Alma Mater Studiorum Univ Bologna, Dept Med & Surg Sci DIMEC, Pharmacol Unit, Bologna, Italy
来源
CANCER MEDICINE | 2024年 / 13卷 / 19期
关键词
bone metastasis; LASSO; multicenter; palliative therapy; predictive model; radiotherapy; PROGNOSTIC-FACTORS; SCORING SYSTEM; TERMINALLY-ILL; IL-8; CANCER; SURVIVAL; INTERLEUKIN-8; INVASIVENESS; VEGF;
D O I
10.1002/cam4.70050
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background The decision to administer palliative radiotherapy (RT) to patients with bone metastases (BMs), as well as the selection of treatment protocols (dose, fractionation), requires an accurate assessment of survival expectancy. In this study, we aimed to develop three predictive models (PMs) to estimate short-, intermediate-, and long-term overall survival (OS) for patients in this clinical setting. Materials and Methods This study constitutes a sub-analysis of the PRAIS trial, a longitudinal observational study collecting data from patients referred to participating centers to receive palliative RT for cancer-induced bone pain. Our analysis encompassed 567 patients from the PRAIS trial database. The primary objectives were to ascertain the correlation between clinical and laboratory parameters with the OS rates at three distinct time points (short: 3 weeks; intermediate: 24 weeks; prolonged: 52 weeks) and to construct PMs for prognosis. We employed machine learning techniques, comprising the following steps: (i) identification of reliable prognostic variables and training; (ii) validation and testing of the model using the selected variables. The selection of variables was accomplished using the LASSO method (Least Absolute Shrinkage and Selection Operator). The model performance was assessed using receiver operator characteristic curves (ROC) and the area under the curve (AUC). Results Our analysis demonstrated a significant impact of clinical parameters (primary tumor site, presence of non-bone metastases, steroids and opioid intake, food intake, and body mass index) and laboratory parameters (interleukin 8 [IL-8], chloride levels, C-reactive protein, white blood cell count, and lymphocyte count) on OS. Notably, different factors were associated with the different times for OS with only IL-8 included both in the PMs for short- and long-term OS. The AUC values for ROC curves for 3-week, 24-week, and 52-week OS were 0.901, 0.767, and 0.806, respectively. Conclusions We successfully developed three PMs for OS based on easily accessible clinical and laboratory parameters for patients referred to palliative RT for painful BMs. While our findings are promising, it is important to recognize that this was an exploratory trial. The implementation of these tools into clinical practice warrants further investigation and confirmation through subsequent studies with separate databases.
引用
收藏
页数:12
相关论文
共 55 条
  • [1] An Accelerated Failure Time Model to Predict Cause-Specific Survival and Prognostic Factors of Lung and Bronchus Cancer Patients with at Least Bone or Brain Metastases: Development and Internal Validation Using a SEER-Based Study
    Awodutire, Phillip Oluwatobi
    Kattan, Michael W.
    Ilori, Oluwatosin Stephen
    Ilori, Oluwatosin Ruth
    [J]. CANCERS, 2024, 16 (03)
  • [2] Baggiolini M, 1992, Cytokines, V4, P1
  • [3] Bauer Stefan, 2009, Cancer Immun, V9, P2
  • [4] Interleukin-8 in Colorectal Cancer: A Systematic Review and Meta-Analysis of Its Potential Role as a Prognostic Biomarker
    Bazzichetto, Chiara
    Milella, Michele
    Zampiva, Ilaria
    Simionato, Francesca
    Amoreo, Carla Azzurra
    Buglioni, Simonetta
    Pacelli, Chiara
    Le Pera, Loredana
    Colombo, Teresa
    Bria, Emilio
    Zeuli, Massimo
    Del Bufalo, Donatella
    Sperduti, Isabella
    Conciatori, Fabiana
    [J]. BIOMEDICINES, 2022, 10 (10)
  • [5] Effects of opioids on immunologic parameters that are relevant to anti-tumour immune potential in patients with cancer: a systematic literature review
    Boland, J. W.
    McWilliams, K.
    Ahmedzai, S. H.
    Pockley, A. G.
    [J]. BRITISH JOURNAL OF CANCER, 2014, 111 (05) : 866 - 873
  • [6] Effect of Opioids on Survival in Patients with Cancer
    Boland, Jason W.
    [J]. CANCERS, 2022, 14 (22)
  • [7] The role of opioids in cancer response to immunotherapy
    Botticelli, Andrea
    Cirillo, Alessio
    Pomati, Giulia
    Cerbelli, Bruna
    Scagnoli, Simone
    Roberto, Michela
    Gelibter, Alain
    Mammone, Giulia
    Calandrella, Maria Letizia
    Cerbelli, Edoardo
    Di Pietro, Francesca Romana
    De Galitiis, Federica
    Lanzetta, Gaetano
    Cortesi, Enrico
    Mezi, Silvia
    Marchetti, Paolo
    [J]. JOURNAL OF TRANSLATIONAL MEDICINE, 2021, 19 (01)
  • [8] Interleukin-8, a promising predictor for prognosis of pancreatic cancer
    Chen, Ying
    Shi, Min
    Yu, Guan-Zhen
    Qin, Xiao-Ran
    Jin, Gang
    Chen, Peng
    Zhu, Ming-Hua
    [J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2012, 18 (10) : 1123 - 1129
  • [9] Predictive Model for Survival in Patients With Advanced Cancer
    Chow, Edward
    Abdolell, Mohamed
    Panzarella, Tony
    Harris, Kristin
    Bezjak, Andrea
    Warde, Padraig
    Tannock, Ian
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (36) : 5863 - 5869
  • [10] Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study
    Christakis, NA
    Lamont, EB
    [J]. BRITISH MEDICAL JOURNAL, 2000, 320 (7233) : 469 - 472