Evidence map›Paper›PMID 23401773›Full record

ArticleInternational journal of proteomics2013

Serum biomarkers identification by mass spectrometry in high-mortality tumors.

Alessandra Tessitore, Agata Gaggiano, Germana Cicciarelli, Daniela Verzella, Daria Capece, Mariafausta Fischietti, Francesca Zazzeroni, Edoardo Alesse

Open access · hybridAbstract read
In one paragraph

Article in International journal of proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  6. Nipple fluid for breast cancer diagnosis using the nanopore of Phi29 DNA-packaging motor.Nanomedicine : nanotechnology, biology, and medicine · 2023
    Article
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  16. Single Domain Antibodies as New Biomarker Detectors.Diagnostics (Basel, Switzerland) · 2017
    Review
  17. Application Value of Mass Spectrometry in the Differentiation of Benign and Malignant Liver Tumors.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  18. Article
  19. Review
  20. 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

8 authors at 1 institution in 1 country.

Alessandra TessitoreDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio Coppito 2, 67100 L'Aquila, Italy.
Agata Gaggiano
Germana Cicciarelli
Daniela Verzella
Daria Capece
Mariafausta Fischietti
Francesca Zazzeroni
Edoardo Alesse
University of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer affects millions of people worldwide. Tumor mortality is substantially due to diagnosis at stages that are too late for therapies to be effective. Advances in screening methods have improved the early diagnosis, prognosis, and survival for some cancers. Several validated biomarkers are currently used to diagnose and monitor the progression of cancer, but none of them shows adequate specificity, sensitivity, and predictive value for population screening. So, there is an urgent need to isolate novel sensitive, specific biomarkers to detect the disease early and improve prognosis, especially in high-mortality tumors. Proteomic techniques are powerful tools to help in diagnosis and monitoring of treatment and progression of the disease. During the last decade, mass spectrometry has assumed a key role in most of the proteomic analyses that are focused on identifying cancer biomarkers in human serum, making it possible to identify and characterize at the molecular level many proteins or peptides differentially expressed. In this paper we summarize the results of mass spectrometry serum profiling and biomarker identification in high mortality tumors, such as ovarian, liver, lung, and pancreatic cancer.

Identifiers

PMID23401773
PMCPMC3562576
OpenAlexW2019577147

What OpenQuestion holds

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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.