Evidence map›Paper›PMID 34842634›Full record

ArticleClocks & sleep2021

Circadian Alterations Increase with Progression in a Patient-Derived Cell Culture Model of Breast Cancer.

Hui-Hsien Lin, Stephanie R Taylor, Michelle E Farkas

Abstract read
In one paragraph

Article in Clocks & sleep, 2021. 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. Review
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

3 authors.

Hui-Hsien LinDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Stephanie R TaylorDepartment of Computer Science, Colby College, Waterville, ME 04901, USA.ORCID 0000-0003-3562-6479
Michelle E FarkasDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0001-5824-1243

Funding

Chemistry-Biology Interface Predoctoral Training GrantT32GM139789 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ERIC Robert STRIETER · 2021 to 2026
$3.4M
Chemical Biology Approaches for Studying Circadian RhythmsR35GM143016 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FARKAS, MICHELLE ELIZABETH · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143016NIGMS NIH HHS T32 GM139789
6 · The paper itself

Abstract

Circadian rhythm disruption can elicit the development of various diseases, including breast cancer. While studies have used cell lines to study correlations between altered circadian rhythms and cancer, these models have different genetic backgrounds and do not mirror the changes that occur with disease development. Isogenic cell models can recapitulate changes across cancer progression. Hence, in this study, a patient-derived breast cancer model, the 21T series, was used to evaluate changes to circadian oscillations of core clock protein transcription as cells progress from normal to malignant states. Three cell lines were used: H16N2 (normal breast epithelium), 21PT (atypical ductal hyperplasia), and 21MT-1 (invasive metastatic carcinoma). The cancerous cells are both HER2+. We assessed the transcriptional profiles of two core clock proteins, BMAL1 and PER2, which represent a positive and negative component of the molecular oscillator. In the normal H16N2 cells, both genes possessed rhythmic mRNA oscillations with close to standard periods and phases. However, in the cancerous cells, consistent changes were observed: both genes had periods that deviated farther from normal and did not have an anti-phase relationship. In the future, mechanistic studies should be undertaken to determine the oncogenic changes responsible for the circadian alterations found.

Indexed as

breast cancercancer progressioncircadian rhythmmetastatic cellsrhythmicity

Identifiers

PMID34842634
PMCPMC8628750

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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.