Pre-treatment erythropoietin levels cannot be used to predict individual response to epoetin alfa in anaemic cancer patients

被引:2
|
作者
Littlewood, TJ
Zagari, M
Pallister, P
机构
关键词
D O I
10.1185/1742305X13824
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Recombinant human erythropoietin (epoetin alfa) is an effective treatment for anaemia in cancer patients, and over two-thirds of recipients experience a substantial increase in haemoglobin concentration (> 2 g/dl). However, it would be helpful to identify responders before starting treatment. Some studies have suggested that high pre-treatment levels of endogenous erythropoietin or other pre-treatment or early response variables are associated with a poor response to epoetin alfa, and several predictive algorithms have been published. We analysed data pooled from 9 clinical trials of 1010 patients to determine the clinical usefulness of pre-treatment erythropoietin levels and other variables for predicting response. This showed that pre-treatment factors alone do not provide a clinically useful prediction of response. The sensitivity of these models increases slightly if early response variables, such as the change in haemoglobin after 4 weeks, are included, but specificity remains poor. We conclude that, while there may be a statistical relationship between certain factors and response, none approach clinically useful levels of sensitivity or specificity.
引用
收藏
页码:S19 / S21
页数:3
相关论文
共 50 条
  • [31] Viral load and genotype, pre-treatment factors related with a poor response to treatment among HCV patients treated with interferon alfa and ribavirin.
    Calderon-Rodriguez, GM
    Navarrete-Castro, R
    Cital-Zamora, JL
    Gomez-Campos, G
    Sanchez-Huerta, G
    Martinez-Rodriguez, ML
    Cordova-Mendoza, V
    HEPATOLOGY, 2001, 34 (04) : 608A - 608A
  • [32] Serum erythropoietin (EPO) levels correlate with survival and independently predict response to EPO treatment in patients with myelodysplastic syndromes
    Wallvik, J
    Stenke, L
    Bernell, P
    Nordahl, G
    Hippe, E
    Hast, R
    EUROPEAN JOURNAL OF HAEMATOLOGY, 2002, 68 (03) : 180 - 186
  • [33] Rapid hemoglobin response in anemic cancer patients undergoing chemotherapy or chemoradiation therapy receiving once-weekly epoetin alfa treatment
    Shasha, D
    George, M
    BLOOD, 2002, 100 (11) : 17B - 17B
  • [34] Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
    Khadijeh Saednia
    Andrew Lagree
    Marie A. Alera
    Lauren Fleshner
    Audrey Shiner
    Ethan Law
    Brianna Law
    David W. Dodington
    Fang-I Lu
    William T. Tran
    Ali Sadeghi-Naini
    Scientific Reports, 12
  • [35] Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
    Saednia, Khadijeh
    Lagree, Andrew
    Alera, Marie A.
    Fleshner, Lauren
    Shiner, Audrey
    Law, Ethan
    Law, Brianna
    Dodington, David W.
    Lu, Fang-, I
    Tran, William T.
    Sadeghi-Naini, Ali
    SCIENTIFIC REPORTS, 2022, 12 (01):
  • [36] Pre-Treatment and Post-Treatment Neutrophil-to-Lymphocyte Ratio Predict Pathological Tumor Response and Survival in Rectal Cancer Patients Treated with Neoadjuvant Chemoradiotherapy
    Delikgoz Soykut, Ela
    Kemal, Yasemin
    Odabasi, Eylem
    Sahin, Nilgun
    Keskinkilic Yagiz, Betul
    Yazicioglu, Irem Melike
    Aytac Arslan, Suheyla
    Guney, Vildiz
    TURK ONKOLOJI DERGISI-TURKISH JOURNAL OF ONCOLOGY, 2022, 37 (02): : 139 - 149
  • [37] Baseline and early treatment factors are not clinically useful for predicting individual response to erythropoietin in anemic cancer patients
    Littlewood, TJ
    Zagari, M
    Pallister, C
    Perkins, A
    ONCOLOGIST, 2003, 8 (01): : 99 - 107
  • [38] Can Pre-treatment Quantitative Multi- parametric MRI Predict the Outcome of Radiotherapy in Patients with Prostate Cancer?
    Chatterjee, Aritrick
    Turchan, William Tyler
    Fan, Xiaobing
    Griffin, Alexander
    Yousuf, Ambereen
    Karczmar, Gregory S.
    Liauw, Stanley L.
    Oto, Aytekin
    ACADEMIC RADIOLOGY, 2022, 29 (07) : 977 - 985
  • [39] Impact of Pre-Treatment Lactate Dehydrogenase Levels on Prognosis and Bevacizumab Efficacy in Patients with Metastatic Colorectal Cancer
    Passardi, Alessandro
    Scarpi, Emanuela
    Tamberi, Stefano
    Cavanna, Luigi
    Tassinari, Davide
    Fontana, Annalisa
    Pini, Sara
    Bernardini, Ilaria
    Accettura, Caterina
    Ulivi, Paola
    Frassineti, Giovanni Luca
    Amadori, Dino
    PLOS ONE, 2015, 10 (08):
  • [40] Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy
    Taleghamar, Hamidreza
    Jalalifar, Seyed Ali
    Czarnota, Gregory J.
    Sadeghi-Naini, Ali
    SCIENTIFIC REPORTS, 2022, 12 (01)