Evidence map›Paper›PMID 28280388›Full record

ReviewBreast cancer (Dove Medical Press)2017

Alternative therapies for metastatic breast cancer: multimodal approach targeting tumor cell heterogeneity.

Manpreet Sambi, Sabah Haq, Vanessa Samuel, Bessi Qorri, Fiona Haxho, Kelli Hill, William Harless, Myron R Szewczuk

Open access · goldAbstract readReview
In one paragraph

Review in Breast cancer (Dove Medical Press), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  15. DDX51 gene promotes proliferation by activating Wnt/β-catenin signaling in breast cancer.International journal of clinical and experimental pathology · 2017
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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

8 authors at 1 institution in 1 country.

Manpreet SambiDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Sabah HaqDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Vanessa SamuelDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Bessi QorriDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Fiona HaxhoDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Kelli HillDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada; ENCYT Technologies, Inc., Membertou, NS, Canada.
William HarlessENCYT Technologies, Inc., Membertou, NS, Canada.
Myron R SzewczukDepartment of Biomedical and Medical Sciences, Queen's University, Kingston, ON, Canada.
Queen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the primary challenges in developing effective therapies for malignant tumors is the specific targeting of a heterogeneous cancer cell population within the tumor. The cancerous tumor is made up of a variety of distinct cells with specialized receptors and proteins that could potentially be viable targets for drugs. In addition, the diverse signals from the local microenvironment may also contribute to the induction of tumor growth and metastasis. Collectively, these factors must be strategically studied and targeted in order to develop an effective treatment protocol. Targeted multimodal approaches need to be strategically studied in order to develop a treatment protocol that is successful in controlling tumor growth and preventing metastatic burden. Breast cancer, in particular, presents a unique problem because of the variety of subtypes of cancer that can arise and the multiple drug targets that could be exploited. For example, the tumor stage and subtypes often dictate the appropriate treatment regimen. Alternate multimodal therapies should consider the importance of time-dependent drug administration, as well as targeting the local and systemic tumor environment. Many reviews and papers have briefly touched on the clinical implications of this cellular heterogeneity; however, there has been very little discussion on the development of study models that reflect this diversity and on multimodal therapies that could target these subpopulations. Here, we summarize the current understanding of the origins of intratumoral heterogeneity in breast cancer subtypes, and its implications for tumor progression, metastatic potential, and treatment regimens. We also discuss the advantages and disadvantages of utilizing specific breast cancer models for research, including in vitro monolayer systems and three-dimensional mammospheres, as well as in vivo murine models that may have the capacity to encompass this heterogeneity. Lastly, we summarize some of the current advancements in the development of multitarget therapeutics that have shown promising results in clinical and preclinical studies when used alone or in combination with traditional regimens of surgery, chemotherapy, and/or radiation.

Indexed as

alternative therapybreast cancercancer stem cellsdrug resistance

Identifiers

PMID28280388
PMCPMC5340247
OpenAlexW2593227677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.