Evidence map›Paper›PMID 23895915›Full record

ReviewThe American journal of pathology2013

Breast cancer metastasis: issues for the personalization of its prevention and treatment.

Natascia Marino, Stephan Woditschka, L Tiffany Reed, Joji Nakayama, Musa Mayer, Maria Wetzel, Patricia S Steeg

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
8.3field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 308 citations in OpenAlex.

  1. Pooled it
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  9. Breast Cancer Metastasis: Mechanisms and Therapeutic Implications.International journal of molecular sciences · 2022
    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

7 authors at 2 institutions in 1 country.

Natascia MarinoWomen's Cancers Section, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: marinon@mail.nih.gov.
Stephan WoditschkaWomen's Cancers Section, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
L Tiffany ReedWomen's Cancers Section, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Joji NakayamaWomen's Cancers Section, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Musa MayerAdvancedBC.org, New York, New York.
Maria WetzelMichigan Breast Cancer Coalition, Baldwin, Michigan.
Patricia S SteegWomen's Cancers Section, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
National Institutes of Health · USNational Cancer Institute · US

Funding

Molecular Biology of the Metastatic PhenotypeZIASC000892 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI STEEG, PATRICIA SCHRIVER · 2009 to 2023
$8.4M
Intramural NIH HHS
6 · The paper itself

Abstract

Despite important progress in adjuvant and neoadjuvant therapies, metastatic disease often develops in breast cancer patients and remains the leading cause of their deaths. For patients with established metastatic disease, therapy is palliative, with few breaks and with mounting adverse effects. Many have hypothesized that a personalized or precision approach (the terms are used interchangeably) to cancer therapy, in which treatment is based on the individual characteristics of each patient, will provide better outcomes. Here, we discuss the molecular basis of breast cancer metastasis and the challenges in personalization of treatment. The instability of metastatic tumors remains a leading obstacle to personalization, because information from a patient's primary tumor may not accurately reflect the metastasis, and one metastasis may vary from another. Furthermore, the variable presence of tumor subpopulations, such as stem cells and dormant cells, may increase the complexity of the targeted treatments needed. Although molecular signatures and circulating biomarkers have been identified in breast cancer, there is lack of validated predictive molecular markers to optimize treatment choices for either prevention or treatment of metastatic disease. Finally, to maximize the information that can be obtained, increased attention to clinical trial design in the metastasis preventive setting is needed.

Indexed as

Precision MedicineBreast NeoplasmsClinical Trials as TopicFemaleHumansMolecular Targeted TherapyNeoplasm MetastasisNeoplastic Cells, Circulating

Identifiers

PMID23895915
PMCPMC3791679
OpenAlexW1847015339

What OpenQuestion holds

Textmetadata
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.