Evidence map›Paper›PMID 27776557›Full record

ArticleBreast cancer research : BCR2016

Mammographically dense human breast tissue stimulates MCF10DCIS.com progression to invasive lesions and metastasis.

Cecilia W Huo, Mark Waltham, Christine Khoo, Stephen B Fox, Prue Hill, Shou Chen, Grace L Chew, John T Price, Chau H Nguyen, Elizabeth D Williams and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. 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
0.8field-weighted citation impact, top 28% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 7 institutions in 1 country.

Cecilia W HuoDepartment of Surgery, University of Melbourne, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
Mark WalthamDepartment of Surgery, University of Melbourne, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
Christine KhooDepartment of Pathology, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Stephen B FoxDepartment of Pathology, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, 3000, Australia.
Prue HillDepartment of Pathology, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
Shou ChenDepartment of Pathology, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
Grace L ChewDepartment of Surgery, University of Melbourne, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
John T PriceCollege of Health and Biomedicine, Victoria University, St Albans, VIC, 8001, Australia.
Chau H NguyenCollege of Health and Biomedicine, Victoria University, St Albans, VIC, 8001, Australia.
Elizabeth D WilliamsInstitute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4001, Australia.
Michael HendersonDepartment of Surgery, University of Melbourne, St Vincent's Hospital, Melbourne, VIC, 3156, Australia.
Erik W ThompsonDepartment of Surgery, University of Melbourne, St Vincent's Hospital, Melbourne, VIC, 3156, Australia. e2.thompson@qut.edu.au.
Kara L BrittSir Peter MacCallum Department of Oncology, University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia.
St Vincent's Hospital · AUUniversity of Melbourne · AUPeter MacCallum Cancer Centre · AUVictoria University · AUNorthern Health · AUSt Vincents Institute of Medical Research · AUTranslational Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh mammographic density (HMD) not only confers a significantly increased risk of breast cancer (BC) but also is associated with BCs of more advanced stages. However, it is unclear whether BC progression and metastasis are stimulated by HMD. We investigated whether patient-derived HMD breast tissue could stimulate the progression of MCF10DCIS.com cells compared with patient-matched low mammographic density (LMD) tissue.

methodsSterile breast specimens were obtained immediately after prophylactic mastectomy from high-risk women (n = 10). HMD and LMD regions of each specimen were resected under radiological guidance. Human MCF10DCIS.com cells, a model of ductal carcinoma in situ (DCIS), were implanted into silicone biochambers in the groins of severe combined immunodeficiency mice, either alone or with matched LMD or HMD tissue (1:1), and maintained for 6 weeks. We assessed biochamber weight as a measure of primary tumour growth, histological grade of the biochamber material, circulating tumour cells and metastatic burden by luciferase and histology. All statistical tests were two-sided.

resultsHMD breast tissue led to increased primary tumour take, increased biochamber weight and increased proportions of high-grade DCIS and grade 3 invasive BCs compared with LMD. This correlated with an increased metastatic burden in the mice co-implanted with HMD tissue.

conclusionsOur study is the first to explore the direct effect of HMD and LMD human breast tissue on the progression and dissemination of BC cells in vivo. The results suggest that HMD status should be a consideration in decision-making for management of patients with DCIS lesions.

Indexed as

Breast DensityMammographyAdultAnimalsBiomarkers, TumorBreast NeoplasmsCell Line, TumorDisease Models, AnimalDisease ProgressionFemaleHeterograftsHumansMiceMiddle AgedMutationNeoplasm InvasivenessBiomarkers, TumorBreast cancerMammographic densityMCF10DCIS.comMurine biochamber

Identifiers

PMID27776557
PMCPMC5078949
OpenAlexW2538724021

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.