Evidence map›Paper›PMID 34685653›Full record

ArticleCells2021

In Silico Evaluation of Natural Compounds for an Acidic Extracellular Environment in Human Breast Cancer.

YoungJoon Park, Jaekwang Jeong, Shin Seong, Wonnam Kim

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 2 countries.

YoungJoon ParkCnh Center for Cancer Research, Cnh Corporation, Gangnam-gu, Seoul 06154, Korea.
Jaekwang JeongSection of Endocrinology and Metabolism, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06519, USA.
Shin SeongSoram Korean Medicine Hospital, Gangnam-gu, Seoul 06154, Korea.
Wonnam KimCnh Center for Cancer Research, Cnh Corporation, Gangnam-gu, Seoul 06154, Korea.
Dunsan Korean Medicine Hospital · KRYale University · US

Funding

Ministry of Science ICT and Future Planning NRF-2018R1C1B6002803
6 · The paper itself

Abstract

The survival rates for breast cancer (BC) have improved in recent years, but resistance, metastasis, and recurrence still remain major therapeutic challenges for BC. The acidic tumor microenvironment (TME) has attracted attention because of its association with tumorigenesis, metastasis, drug resistance, and immune surveillance. In this study, we evaluated natural compounds from traditional herbal medicine used to treat cancer that selectively target genes regulated by extracellular acidosis. We integrated four transcriptomic data including BC prognostic data from The Cancer Genome Atlas database, gene expression profiles of MCF-7 cells treated with 102 natural compounds, patterns of gene profiles by acidic condition, and single-cell RNA-sequencing from BC patient samples. Bruceine D (BD) was predicted as having the highest therapeutic potential, having an information gain (IG) score of 0.24, to regulate reprogrammed genes driven by acidosis affecting the survival of BC patients. BD showed the highest IG on EMT (IG score: 0.11) and invasion (IG score: 0.1) compared to the other phenotypes with the CancerSEA database. BD also demonstrated therapeutic potential by interfering with the tumor cell-TME interactions by reducing the amyloid beta precursor protein and CD44 expression. Therefore, BD is a potential candidate to target the acidic TME induced metastatic process in BC.

Indexed as

Computer SimulationAcidsBiological ProductsBreast NeoplasmsCell CommunicationExtracellular SpaceFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsPrognosisQuassinsRNA-SeqSingle-Cell AnalysisAcidsBiological Productsbruceine DQuassinsacidic tumor microenvironmentbreast cancerBruceine Dnatural compound

Identifiers

PMID34685653
PMCPMC8534855
OpenAlexW3205827641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.