Evidence map›Paper›PMID 26484071›Full record

ArticleGenomics data2014

Genome-wide copy number analysis of cerebrospinal fluid tumor cells and their corresponding archival primary tumors.

Mark Jesus M Magbanua, Ritu Roy, Eduardo V Sosa, Louai Hauranieh, Andrea Kablanian, Lauren E Eisenbud, Artem Ryazantsev, Alfred Au, Janet H Scott, Michelle Melisko and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
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  5. Review
  6. Neoplastic meningitis in solid tumors: from diagnosis to personalized treatments.Therapeutic advances in neurological disorders · 2018
    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

11 authors.

Mark Jesus M MagbanuaDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Ritu RoyHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA ; Helen Diller Family Comprehensive Cancer Center Computational Biology Core, University of California San Francisco, San Francisco, California, USA.
Eduardo V SosaDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Louai HauraniehDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Andrea KablanianDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Lauren E EisenbudDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Artem RyazantsevDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Alfred AuDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Janet H ScottDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
Michelle MeliskoDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.
John W ParkDivision of Hematology/Oncology, University of California San Francisco, San Francisco, CA, USA ; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A debilitating complication of breast cancer is the metastatic spread of tumor cells to the leptomeninges or cerebrospinal fluid (CSF). Patients diagnosed with this aggressive clinical syndrome, known as leptomeningeal carcinomatosis, have very poor prognosis. Despite improvements in detecting cerebrospinal fluid tumor cells (CSFTCs), information regarding their molecular biology is extremely limited. In our recent work, we utilized a protocol previously used for circulating tumor cell isolation to purify tumor cells from the CSF. We then performed genomic characterization of CSFTCs as well as archival tumors from the same patient. Here, we describe the microarray data and quality controls associated with our study published in the Cancer Research journal in 2013 [1]. We also provide an R script containing code for quality control of microarray data and assessment of copy number calls. The microarray data has been deposited into Gene Expression Omnibus under accession # GSE46068.

Identifiers

PMID26484071
PMCPMC4535622

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.