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Record W2325904958 · doi:10.5604/16652681.1198826

Bile acids and the risk for hepatocellular carcinoma in primary biliary cholangitis

2016· letter· en· W2325904958 on OpenAlexaboutno aff
Alejandra Altamirano-Barrera, Misael Uribe, Frank Lammert, Nahúm Méndez‐Sánchez

Bibliographic record

VenueAnnals of Hepatology · 2016
Typeletter
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineHepatocellular carcinomaUrsodeoxycholic acidGastroenterologyUnivariate analysisPrimary biliary cirrhosisMultivariate analysis

Abstract

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Hepatocellular carcinoma (HCC) is the fifth most common cancer in the world and the third most common cause of cancer death, and accounts for 5.6% of all cancers. Nearly 82% of the approximately 550,000 liver cancer deaths each year occur in Asia. In some regions, cancer-related death from HCC is second only to lung cancer.1 The most frequent risk factors include chronic viral hepatitis (types B and C), alcohol intake and aflatoxin exposure. However, it has been reported that HCC occurs in 1-6% of patients with primary biliary cholangitis (PBC) per year. In addition HCC surveillance with abdominal imaging and α-fetoprotein is recommended every 6-12 months for patients. Furthermore, some studies suggested that risk factors for the development of HCC in patients with PBC include older age, male sex, presence of portal hypertension, advanced histological stage, and poor response to ursodeoxycholic acid (UDCA).2,3 We read with a great interest the article by Trivedi, et al.4 on the stratification of HCC risk in PBC. The risk for HCC in patients with PBC has been reported in previous publications and it has also been demonstrated by Liang, et al.5 in a systematic review and meta-analysis, suggesting that PBC is significantly associated with an increased risk for HCC. Two major risk factors have been suggested to predispose patients with PBC to develop HCC. The first one is gender and the second the biochemical non-response to UDCA. In the present study the univariate analysis showed that male sex (unadjusted HR 2.91, p < 0.0001) is one the factors at PBC diagnosis associated with future HCC development.4 The reason for increased hepatocarcinogenesis in men compared to women remains yet to be defined, but a role of estrogen-related differences in inflammatory cytokine production has been suggested.6 Here we would like to suggest a hypothesis to explain in part the increased risk in men with PBC for HCC. Both risk factors gender and non-response to treatment may be related to each other and increase HCC susceptibility. PBC is more frequent in women than men. However, men are more prone to the development of HCC. Currently the gold standard for treatment of PBC is UDCA.7 This bile acid constitutes < 5% of the bile acid pool under physiological conditions. After oral administration of UDCA an enrichment of bile with this hydrophilic bile acid occurs, which represents the requirement for treatment response in patients with chronic cholangiopathies. The mechanism of action of UDCA is multifactorial8 and involves replacement of endogenous cytotoxic bile acids [chenodeoxycholic (CDCA) and deoxycholic (DCA) acid] by the non-cytotoxic bile acid UDCA; one of the mechanisms is likely to be competition for active ileal transport. Interestingly, it has been suggested that gender has a major effect on fasting plasma concentrations of individual bile acids in healthy individuals. In fact, Xiang, et al.9 reported that fasting plasma concentrations of individual bile acids are 111% higher in men than in women. Consequently, the mean concentration of total bile acids is about 50% higher in men than in women. These differences were also observed in the 70’s by Bennion, et al.10 in healthy male subjects whose chenodeoxycholic acid pool sizes were larger than in women. In addition, Diger, et al.11 reported that PBC patients differ from healthy individuals The Official Journal of the Mexican Association of Hepatology, the Latin-American Association for Study of the Liver and the Canadian Association for the Study of the Liver

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.276
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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