Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Hepatologyarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Hepatology
Article
Data sources: UnpayWall
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Hepatology
Article . 2012 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
Hepatology
Article . 2012
versions View all 2 versions
addClaim

Predictors of pretransplant dropout and posttransplant recurrence in patients with perihilar cholangiocarcinoma

Authors: Sarwa, Darwish Murad; W Ray, Kim; Terry, Therneau; Gregory J, Gores; Charles B, Rosen; James A, Martenson; Steven R, Alberts; +1 Authors

Predictors of pretransplant dropout and posttransplant recurrence in patients with perihilar cholangiocarcinoma

Abstract

We have previously reported excellent outcomes with liver transplantation for selected patients with early-stage perihilar cholangiocarcinoma (CCA) following neoadjuvant chemoradiotherapy. Our aim was to identify predictors of dropout before transplantation and predictors of cancer recurrence after transplantation. We reviewed all patients with unresectable perihilar CCA treated with neoadjuvant chemoradiation in anticipation for transplantation between 1993 and 2010. Predictors were identified by univariate and multivariate Cox regression analysis of clinical variables. In total, 199 patients were enrolled, of whom 62 dropped out and 131 underwent transplantation at our institution, with six undergoing transplantation elsewhere. Predictors of dropout were carbohydrate antigen 19–9 (CA 19–9) ≥ 500 U/mL (hazard ratio [HR] 2.3; P = 0.04), mass ≥ 3 cm (HR 2.1; P = 0.05), malignant brushing or biopsy (HR 3.6; P = 0.001), and Model for End-Stage Liver Disease (MELD) score ≥ 20 (HR 3.5; P = 0.02). Posttransplant, recurrence-free 5-year survival was 68%. Predictors of recurrence were elevated CA 19–9 (HR 1.8; P = 0.01), portal vein encasement (HR 3.3; P = 0.007), and residual tumor on explant (HR 9.8; P < 0.001). Primary sclerosing cholangitis (PSC), age, history of cholecystectomy, and waiting time were not independent predictors. Conclusion : Outcome following neoadjuvant chemoradiation and liver transplantation for perihilar CCA is excellent. Risk of dropout is related to patient and tumor characteristics and this can be used to guide patient counseling before enrollment. Recurrence risk is mostly associated with presence of residual cancer on explant. Patients with PSC do not have an independent survival advantage over de novo patients, but present with more favorable tumor characteristics.

Related Organizations
Keywords

Adult, Male, Patient Dropouts, Middle Aged, Liver Transplantation, Cholangiocarcinoma, Young Adult, Bile Ducts, Intrahepatic, Bile Duct Neoplasms, Preoperative Period, Humans, Female, Prospective Studies, Neoplasm Recurrence, Local, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    133
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
133
Top 1%
Top 10%
Top 1%
bronze
Related to Research communities
Cancer Research