tailieunhanh - Báo cáo y học: " Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài:Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC | Kõssler et al. Theoretical Biology and Medical Modelling 2011 8 28 http content 8 1 28 THEORETICAL BIOLOGY AND MEDICAL MODELLING RESEARCH Open Access Formation of translational risk score based on correlation coefficients as an alternative to Cox regression models for predicting outcome in patients with NSCLC ỉ íỉ i IPrr Tỉ rm kAcclor1 A noffo Pio holor2 Ami lip A il Imc3 TiriT PI A iH i4 RorrirJ kdocfortaTJ I fori 5 TirirJ I 1 A O kJirmo6 vvongdi ig Kussler Al lette Fiebeler All lull vvillms Tind ElAidi Ben Id Klosteri Iduen dnd Uwe Klinge Correspondence Uklinge@ department of Surgery University Hospitdl RWTH Adchen Germdny Full list of duthor informdtion is dVdildble dt the end of the drticle 2 BioMed Central Abstract Background Persondlised cdncer therdpy such ds thdt used for bronchidl cdrcinomd DC requires tredtment to be ddjusted to the pdtient s stdtus. Individudl risk for progression is estimdted from clinicdl dnd moleculdr-biologicdl ddtd using trdnsldtiondl score systems. Additiondl moleculdr informdtion cdn improve outcome prediction depending on the mdrker used dnd the dpplied dlgorithm. Two models one bdsed on regressions dnd the other on correldtions were used to investigdte the effect of combining Vdrious items of prognostic informdtion to produce d comprehensive score. This wds cdrried out using correldtion coefficients with options concerning d more pldusible selection of Vdridbles for modelling dnd this is considered better thdn cldssicdl regression dndlysis. Methods Clinicdl ddtd concerning 63 DC pdtients were used to investigdte the expression pdttern of five tumour-dssocidted proteins. Significdnt impdct on survivdl wds determined using log-rdnk tests. Significdnt vdridbles were integrated into d Cox regression model dnd d new vdridble cdlled integrdtive score of individudl risk ISIR bdsed on Spedrmdn s correldtions wds obtdined. Results High tumour stdge TNM wds predictive for poor survivdl while CD68 dnd Gds6 .

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