Evidence map›Paper›PMID 28428927›Full record

ArticleCureus2017

Limitations of Personalized Medicine and Gene Assays for Breast Cancer.

David Tiberi, Laura Masucci, Daniel Shedid, Isabelle Roy, Toni Vu, Erica Patocskai, André Robidoux, Philip Wong

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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 4 institutions in 1 country.

David TiberiDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM).
Laura MasucciDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM).
Daniel ShedidDepartment of Surgery-Neurosurgery Service, Centre Hospitalier de l'Université de Montréal (CHUM).
Isabelle RoyDepartment of Radiation Oncology, Cité De La Santé De Montréal, Université de Montréal.
Toni VuDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM).
Erica PatocskaiDepartment of Surgery, Centre Hospitalier De L'université De Montréal (CHUM) Notre Dame.
André RobidouxDepartment of Surgery, Centre Hospitalier De L'université De Montréal (CHUM) Notre Dame.
Philip WongDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montréal (CHUM).
Centre Hospitalier de l’Université de Montréal · CAMcGill University Health Centre · CASante Montreal · CAUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adjuvant systemic treatments reduce the risk of breast cancer recurrence following the local treatment of primary stage I-III breast cancers. For patients with hormone-positive breast cancers receiving hormonal therapy, the risk of distant recurrence is under 20% and therefore, many patients may potentially be spared of chemotherapy. Consequently, several molecular signatures based on gene expression were developed to better determine which breast cancer patients would benefit from chemotherapy. We present the case of a 62-year-old woman diagnosed with an early stage hormone receptor-positive breast cancer that was treated with a partial mastectomy. Oncotype DX (Genomic Health, Redwood City, CA) molecular testing was performed on the surgical specimen, which reported a recurrence score of 0. The patient commenced adjuvant radiotherapy during which she developed symptoms suggestive of bone metastasis and was subsequently diagnosed with a spinal cord compression that required neurosurgery and radiotherapy. Pathology review of the specimen from the spine surgery revealed a metastatic breast carcinoma with neuroendocrine differentiation. Molecular assays such as Oncotype DX are increasingly used to prognosticate patient outcomes and help determine who may avoid chemotherapy. This case report seeks to illustrate that such assays should not be used in the presence of rare histological subtypes like neuroendocrine breast cancers, which are often under-reported. The current status of personalized medicine and gene assays in breast cancer is reviewed and potential strategies are suggested to identify these rare cases to better orient diagnostic and treatment decisions.

Indexed as

breast cancergene assaysgenomicsneuroendocrine differentiationoncotype dxpersonalized medicine

Identifiers

PMID28428927
PMCPMC5393908
OpenAlexW2595495351

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.