Evidence map›Paper›PMID 28819559›Full record

ArticleBiomedical reports2017

Growth inhibitory efficacy of natural products in a model for triple negative molecular subtype of clinical breast cancer.

Nitin Telang

Abstract read
In one paragraph

Article in Biomedical reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

1 author.

Nitin TelangCancer Prevention Research Program, Palindrome Liaisons Consultants, Montvale, NJ 07645-1559, USA.

Funding

RETINOIDS AND EPITHELIAL DIFFERENTIATIONP30CA029502 · NCI · STRANG CANCER PREVENTION CENTER · PI RIVLIN, RICHARD S · 2002 to 2006
$4.1M
ZINC AS A BIOLOGICAL RESPONSE MODIFIERP01CA029502 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI ZHANG, ZUO · 1985 to 2000
$360k
NCI NIH HHS P01 CA029502NCI NIH HHS P30 CA029502
6 · The paper itself

Abstract

Global gene expression profiling identifies predictive and prognostic biomarkers and rationalizes breast cancer subtype-targeted treatment. The Anthracyclin/Taxol and survival pathway specific small molecular inhibitors, constitute current treatment options. These options are associated with acquired tumor resistance and emergence of drug-resistant cancer stem cells. Dietary supplements and constitutive bioactive phytochemicals with relatively low systemic toxicity may provide testable alternatives for current therapy. Human breast epithelial cell lines 184-B5 (non-tumorigenic triple negative cell type) and MDA-MB-231 (breast carcinoma derived triple negative cell type) were used as the experimental models. Putative cancer chemo-preventive natural products and their constitutive bioactive agents represented the test agents. Anchorage independent growth, cell cycle progression and cell apoptosis quantified the treatment efficacy. Compared to the 184-B5 cells, the MDA-MB-231 cells exhibited anchorage-independent growth indicative of persistent cancer risk. Additionally, the MDA-MB-231 cells exhibited hyper-proliferation, accelerated cell cycle progression and inhibited apoptosis indicative of loss of homeostatic growth control. The test agents inhibited anchorage-independent growth via cytostatic and pro-apoptotic effects. The triple negative carcinoma-derived Doxorubicin-resistant phenotype exhibited cancer stem cell markers, including tumor spheroid formation and expression of CD44, NANOG and c-Myc. These data identify clinically relevant mechanistic leads for the efficacy of natural products in the aggressive therapy-resistant breast cancer subtype and suggests a testable approach for cancer stem cell-targeted therapy.

Indexed as

clinical breast cancernatural product

Identifiers

PMID28819559
PMCPMC5549599

What OpenQuestion holds

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Registered trials

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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.