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Open AccessJournal ArticleDOI

Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma

TLDR
In patients with unresectable hepatocellular carcinoma, atezolIZumab combined with bevacizumab resulted in better overall and progression-free survival outcomes than sorafenib.
Abstract
Background The combination of atezolizumab and bevacizumab showed encouraging antitumor activity and safety in a phase 1b trial involving patients with unresectable hepatocellular carcinom...

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Cancer statistics, 2023

TL;DR: The American Cancer Society estimates the number of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries and mortality data collected from the National Center for Health Statistics as discussed by the authors .
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BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update

TL;DR: Forner et al. as mentioned in this paper discussed the critical insight and expert knowledge that are required to make clinical decisions for individual patients, considering all of the parameters that must be considered to deliver personalised clinical management.
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NASH limits anti-tumour surveillance in immunotherapy-treated HCC

Dominik Pfister, +128 more
- 15 Apr 2021 - 
TL;DR: The progressive accumulation of exhausted, unconventionally activated CD8+PD1+ T cells in NASH-affected livers provides a rationale for stratification of patients with HCC according to underlying aetiology in studies of immunotherapy as a primary or adjuvant treatment.
References
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Bevacizumab (Avastin), a humanized anti-VEGF monoclonal antibody for cancer therapy.

TL;DR: A humanized anti-VEGF monoclonal antibody has been approved by the FDA as a first-line treatment for metastatic colorectal cancer in combination with chemotherapy and VEGF is implicated in intraocular neovascularization associated with diabetic retinopathy and age-related macular degeneration.
Journal ArticleDOI

A graphical approach to sequentially rejective multiple test procedures

TL;DR: A simple iterative graphical approach to construct and perform Bonferroni-type tests, represented by directed, weighted graphs, where each node corresponds to an elementary hypothesis, together with a simple algorithm to generate such graphs while sequentially testing the individual hypotheses.
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