Teh-Ia Huo1,2,3, Po-Hong Liu2,4, Chia-Yang Hsu2,5. 1. Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan. 2. Faculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan. 3. Institute of Pharmacology, National Yang-Ming University School of Medicine, Taipei, Taiwan. 4. Harvard T.H. Chan School of Public Health, Boston, MA, USA. 5. Department of Internal Medicine, University of Nevada School of Medicine, Reno, NV, USA.
Sir,We read the paper ‘Transarterial chemo-embolisation of hepatocellular carcinoma: impact of liver function and vascular invasion’ with interest, which was published in a recent issue of British Journal of Cancer (Waked ). In this elegant, multi-center study, including 3030 patients with hepatocellular carcinoma (HCC) undergoing transarterial chemo-embolisation, authors demonstrate that the ALBI grade can be used as a marker of liver functional reserve in HCCpatients from different geographical regions. We have consistent findings from our own recent study, which enrolled a large cohort of 3182 HCCpatients (Liu ). In addition, an independent study from Japan confirmed the predictive role of ALBI grade in 2584 HCCpatients (Hiraoka ). All these studies meticulously show the feasibility of the ALBI grade as a prognostic predictor for HCC. Although the findings are interesting, some concerns may deserve our attention.The major prognostic predictors of HCC include liver dysfunction, tumour extent, general health status and treatment modality. The BCLC staging system incorporates these key factors and includes treatment suggestions for different stages. Although the BCLC system has been integrated in the current management guidelines, a recently proposed HKLC staging system offered better prognostic ability compared with BCLC system (Yau ). Besides the BCLC and HKLC systems, multiple staging systems were proposed and generally claimed to have superior prognostic performance. This lack of consensus may stem from heterogeneity of liver pathology and diverse treatment modalities, which complicate the pursuit for an ideal staging model (Liu ). Therefore, the ALBI grade, as a potentially better biomarker of liver functional reserve and survival predictor, should be tested in the existing HCC staging models to investigate if it can replace the traditional markers, including Child-Turcotte-Pugh (CTP) and model for end-stage liver disease (MELD) score.To further improve the performance of the ALBI grade, a more recent proposal showed that adding platelet count into the ALBI equation, or the PALBI grade, could enhance the prognostic ability of the ALBI grade (Roayaie ). PALBI score was calculated as the following equation: 2.02 × log10
bilirubin–0.37 × (log10
bilirubin)2–0.04 × albumin–3.48 × log10
platelets+1.01 × (log10
platelets)2. PALBI grade was defined as grade 1 (score⩽−2.53), grade 2 (score >−2.53 and ⩽−2.09), and grade 3 (score >−2.09). The feasibility of this ‘updated’ version of the ALBI grade in predicting the survival for HCCpatients has been validated in our patient cohort (Liu ). In this study, we show that the PALBI score may outperform the ALBI grade based on several reasons. First, PALBI grade incorporates blood platelet count as an indicator for the severity of portal hypertension. Second, many HCCpatients are CTP class A, and the PALBI grade can further differentiate into three distinct prognostic groups. As such, the PALBI grade could be a more statistically robust model that provides higher discriminatory power for HCC.In summary, a more in-depth evaluation of the intrinsic nature of the ALBI and PALBI grade is required to consolidate their application in clinical practice. Undoubtedly, it is crucially important to implement ALBI/PALBI-based models into current HCC staging systems to investigate if the prognostic ability can be further enhanced. Further studies from international cohorts are needed to address these issues.
Authors: Thomas Yau; Vikki Y F Tang; Tzy-Jyun Yao; Sheung-Tat Fan; Chung-Mau Lo; Ronnie T P Poon Journal: Gastroenterology Date: 2014-02-25 Impact factor: 22.682
Authors: Imam Waked; Sarah Berhane; Hidenori Toyoda; Stephen L Chan; Nicholas Stern; Daniel Palmer; Toshifumi Tada; Winnie Yeo; Frankie Mo; Dominik Bettinger; Martha M Kirstein; Mercedes Iñarrairaegui; Asmaa Gomaa; Arndt Vogel; Tim Meyer; Bruno Sangro; Paul Lai; Takashi Kumada; Philip J Johnson Journal: Br J Cancer Date: 2017-01-26 Impact factor: 7.640