Evidence map›Paper›PMID 30510368›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2018

Traps and trumps from adjacent-to-tumor samples in gastric cancer research.

Paulo Pimentel de Assumpção, André Salim Khayat, Taíssa Maíra Thomaz Araújo, Williams Fernandes Barra, Geraldo Ishak, Aline Maria Pereira Cruz Ramos, Sidney Emanuel Batista Dos Santos, Ândrea Kely Campos Ribeiro Dos Santos, Samia Demachki, Paula Baraúna de Assumpção and 8 more

Abstract read
In one paragraph

Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 9 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

18 authors at 3 institutions in 2 countries.

Paulo Pimentel de AssumpçãoOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
André Salim KhayatOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Taíssa Maíra Thomaz AraújoOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Williams Fernandes BarraOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Geraldo IshakOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Aline Maria Pereira Cruz RamosOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Sidney Emanuel Batista Dos SantosOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Ândrea Kely Campos Ribeiro Dos SantosOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Samia DemachkiOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Paula Baraúna de AssumpçãoPhD Program in Genetics and Molecular Biology, Federal University of Pará, Belém 66075-110, Brazil.
Danielle Queiroz CalcagnoOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Ney Pereira Carneiro Dos SantosOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
Mônica Baraúna de AssumpçãoGastrointestinal Endoscopy Service, João de Barros Barreto University Hospital, Belém 66073-000, Brazil.
Fabiano Cordeiro MoreiraOncology Research Center, Federal University of Pará, Belém 66075-110, Brazil.
André Maurício Ribeiro Dos SantosPhD Program in Genetics and Molecular Biology, Federal University of Pará, Belém 66075-110, Brazil.
Carolina Baraúna de AssumpçãoDepartment of Surgical Oncology, Oswaldo Cruz Germany Hospital, São Paulo 01327-001, Brazil.
Gregory Joseph RigginsDepartment of Neurosurgery, Johns Hopkins University, Baltimore 21287, USA.
Rommel Mario Rodríguez BurbanoLaboratory of Molecular Biology, Ophir Loyola Hospital, Belém 66060-281, Brazil.
Universidade Federal do Pará · BRHospital São Paulo · BRJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for cancer biomarkers is frequently based on comparisons between tumors and adjacent-to-tumor samples. However, even after histological confirmation of been free of cancer cells, these adjacent-to-tumor samples might harbor molecular alterations which are not sufficient to cause them to look like cancer, but can differentiate these cells from normal cells. When comparing them, potential biomarkers are missed, and mainly the opportunity of finding initial aberrations presents in both tumors and adjacent samples, but not in true normal samples from non-cancer patients, resulting in misinterpretations about the carcinogenic process. Nevertheless, collecting adjacent-to-tumor samples brings trumps to be explored. The addition of samples from non-cancer patients opens an opportunity to increase the finds of the molecular cascade of events in the carcinogenic process. Differences between normal samples and adjacent samples might represent the first steps of the carcinogenic process. Adding samples of non-cancer patients to the analysis of molecular alterations relevant to the carcinogenic process opens a new window of opportunities to the discovery of cancer biomarkers and molecular targets.

Indexed as

Adjacent-to-tumortrapstrumps

Identifiers

PMID30510368
PMCPMC6232362
OpenAlexW2899892332

What Socratic 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 Socratic graph.