Evidence map›Paper›PMID 31296531›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Liver- and Microbiome-derived Bile Acids Accumulate in Human Breast Tumors and Inhibit Growth and Improve Patient Survival.

Wei Tang, Vasanta Putluri, Chandrashekar R Ambati, Tiffany H Dorsey, Nagireddy Putluri, Stefan Ambs

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Wei TangLaboratory of Human Carcinogenesis, Center for Cancer Research (CCR), NCI, NIH, Bethesda, Maryland.
Vasanta PutluriDepartment of Molecular and Cellular Biology, Verna and Marrs McLean Department of Biochemistry and Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Chandrashekar R AmbatiDepartment of Molecular and Cellular Biology, Verna and Marrs McLean Department of Biochemistry and Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Tiffany H DorseyLaboratory of Human Carcinogenesis, Center for Cancer Research (CCR), NCI, NIH, Bethesda, Maryland.
Nagireddy PutluriDepartment of Molecular and Cellular Biology, Verna and Marrs McLean Department of Biochemistry and Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas. ambss@mail.nih.gov putluri@bcm.edu.
Stefan AmbsLaboratory of Human Carcinogenesis, Center for Cancer Research (CCR), NCI, NIH, Bethesda, Maryland. ambss@mail.nih.gov putluri@bcm.edu.
Baylor College of Medicine · USCenter for Cancer Research · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Novel Markers for Disease Outcome in Breast CancerZIABC010887 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI AMBS, STEFAN · 2009 to 2025
$11.5M
Identify the DNA Adduct and Associated Metabolic Alterations in Bladder Cancer of SmokersR01CA216426 · NCI · BAYLOR COLLEGE OF MEDICINE · PI EL-ZEIN, RANDA A, PUTLURI, NAGIREDDY · 2018 to 2022
$2.0M
Racial Disparity in Bladder Cancer and Identification of Altered Metabolism in African American Compare to European Bladder CancerR01CA220297 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PUTLURI, NAGIREDDY · 2017 to 2021
$1.8M
Intramural NIH HHS ZIA BC010887NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA216426NCI NIH HHS R01 CA220297
6 · The paper itself

Abstract

purposeMetabolomics is a discovery tool for novel associations of metabolites with disease. Here, we interrogated the metabolome of human breast tumors to describe metabolites whose accumulation affects tumor biology. EXPERIMENTAL

designWe applied large-scale metabolomics followed by absolute quantification and machine learning-based feature selection using LASSO to identify metabolites that show a robust association with tumor biology and disease outcome. Key observations were validated with the analysis of an independent dataset and cell culture experiments.

resultsLASSO-based feature selection revealed an association of tumor glycochenodeoxycholate levels with improved breast cancer survival, which was confirmed using a Cox proportional hazards model. Absolute quantification of four bile acids, including glycochenodeoxycholate and microbiome-derived deoxycholate, corroborated the accumulation of bile acids in breast tumors. Levels of glycochenodeoxycholate and other bile acids showed an inverse association with the proliferation score in tumors and the expression of cell-cycle and G

conclusionsWe describe the unexpected accumulation of liver- and microbiome-derived bile acids in breast tumors. Tumors with increased bile acids show decreased proliferation, thus fall into a good prognosis category, and exhibit significant changes in steroid metabolism.

Indexed as

Bile Acids and SaltsBreast NeoplasmsCell ProliferationFemaleHumansLiverMetabolomeMicrobiotaPrognosisSurvival RateTumor Cells, CulturedBile Acids and Salts

Identifiers

PMID31296531
PMCPMC6774910
OpenAlexW2962126616

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.