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@article{Scelo:2018:10.1158/1078-0432.CCR-18-1496,
author = {Scelo, G and Muller, DC and Riboli, E and Johansson, M and Cross, A and Vineis, P and Tsilidis, K and Brennan, P and Boeing, H and Peeters, P and Vermeulen, R and Overvad, K and Bueno-de-Mesquita, HB and Severi, G and Perduca, V and Kvaskoff, M and Trichopoulou, A and La, Vecchia C and Karakatsani, A and Palli, D and Sieri, S and Panico, S and Weiderpass, E and Sandanger, T and Nost, T and Agudo, A and Quiros, JR and Rodriguez-Barranco, M and Chirlaque, M-D and Key, T and Khanna, P and Bonventre, J and Sabbisetti, V and Bhatt, R},
doi = {10.1158/1078-0432.CCR-18-1496},
journal = {Clinical Cancer Research},
title = {KIM-1 as a blood-based marker for early detection of kidney cancer: a prospective nested case-control study},
url = {http://dx.doi.org/10.1158/1078-0432.CCR-18-1496},
volume = {24},
year = {2018}
}

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TY  - JOUR
AB  - Purpose: Renal cell carcinoma (RCC) has the potential for cure with surgery when diagnosed at an early stage. Kidney injury molecule-1 (KIM-1) has been shown to be elevated in the plasma of RCC patients. We aimed to test whether plasma KIM-1 could represent a means of detecting RCC prior to clinical diagnosis. Experimental Design: KIM-1 concentrations were measured in pre-diagnostic plasma from 190 RCC cases and 190 controls nested within a population-based prospective cohort study. Cases had entered the cohort up to five years before diagnosis, and controls were matched on cases for date of birth, date at blood donation, sex, and country. We applied conditional logistic regression and flexible parametric survival models to evaluate the association between plasma KIM-1 concentrations and RCC risk and survival. Results: The incidence rate ratio (IRR) of RCC for a doubling in KIM-1 concentration was 1.71 (95% confidence interval [CI]: 1.44-2.03, p-value = 4.1x10-23), corresponding to an IRR of 63.3 (95% CI: 16.2-246.9) comparing the 80th to the 20th percentile of the KIM-1 distribution in this sample. Compared with a risk model including known risk factors of RCC (age, sex, country, body mass index and tobacco smoking status), a risk model additionally including KIM-1 substantially improved discrimination between cases and controls (area under the receiver operating characteristic curve of 0.8 compared to 0.7). High plasma KIM-1 concentrations were also associated with poorer survival (p=0.0053). Conclusions: Plasma KIM-1 concentrations could predict RCC incidence up to 5 years prior to diagnosis and were associated with poorer survival.
AU  - Scelo,G
AU  - Muller,DC
AU  - Riboli,E
AU  - Johansson,M
AU  - Cross,A
AU  - Vineis,P
AU  - Tsilidis,K
AU  - Brennan,P
AU  - Boeing,H
AU  - Peeters,P
AU  - Vermeulen,R
AU  - Overvad,K
AU  - Bueno-de-Mesquita,HB
AU  - Severi,G
AU  - Perduca,V
AU  - Kvaskoff,M
AU  - Trichopoulou,A
AU  - La,Vecchia C
AU  - Karakatsani,A
AU  - Palli,D
AU  - Sieri,S
AU  - Panico,S
AU  - Weiderpass,E
AU  - Sandanger,T
AU  - Nost,T
AU  - Agudo,A
AU  - Quiros,JR
AU  - Rodriguez-Barranco,M
AU  - Chirlaque,M-D
AU  - Key,T
AU  - Khanna,P
AU  - Bonventre,J
AU  - Sabbisetti,V
AU  - Bhatt,R
DO  - 10.1158/1078-0432.CCR-18-1496
PY  - 2018///
SN  - 1078-0432
TI  - KIM-1 as a blood-based marker for early detection of kidney cancer: a prospective nested case-control study
T2  - Clinical Cancer Research
UR  - http://dx.doi.org/10.1158/1078-0432.CCR-18-1496
UR  - http://hdl.handle.net/10044/1/61799
VL  - 24
ER  -

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