Evidence map›Paper›PMID 27110560›Full record

ArticleBioMed research international2016

Proteomic Analysis of Stage-II Breast Cancer from Formalin-Fixed Paraffin-Embedded Tissues.

Naif Abdullah Al-Dhabi, Srisesharam Srigopalram, Soundharrajan Ilavenil, Young Ock Kim, Paul Agastian, Rajasekhar Baaru, Kannan Balamurugan, Ki Choon Choi, Mariadhas Valan Arasu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

9 authors at 4 institutions in 3 countries.

Naif Abdullah Al-DhabiDepartment of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Srisesharam SrigopalramGrassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-eup, Cheonan-si, Chungnam 330801, Republic of Korea.
Soundharrajan IlavenilGrassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-eup, Cheonan-si, Chungnam 330801, Republic of Korea.
Young Ock KimDepartment of Medicinal Crop Research, Rural Development Administration, Eumseong, Chungbuk 369-873, Republic of Korea.
Paul AgastianResearch Department of Plant Biology and Biotechnology, Loyola College, Nungambakkam, Chennai, Tamil Nadu 600034, India.
Rajasekhar BaaruProteomics Division, Discovery Research, Dr. Reddy's Laboratories Ltd., Miyapur, Hyderabad 500049, India.
Kannan BalamuruganSharmila Institute of Medicinal Products Research Academy, Thanjavur 613007, India.
Ki Choon ChoiGrassland and Forage Division, National Institute of Animal Science, RDA, Seonghwan-eup, Cheonan-si, Chungnam 330801, Republic of Korea.
Mariadhas Valan ArasuDepartment of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
National Institute of Animal Science · KRKing Saud University · SADr. Reddy's Laboratories (India) · INRural Development Administration · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most frequently occurring disease among women worldwide. The early stage of breast cancer identification is the key challenge in cancer control and prevention procedures. Although gene expression profiling helps to understand the molecular mechanism of diseases or disorder in the living system, gene expression pattern alone is not sufficient to predict the exact mechanisms. Current proteomics tools hold great application for analysis of cancerous conditions. Hence, the generation of differential protein expression profiles has been optimized for breast cancer and normal tissue samples in our organization. Normal and tumor tissues were collected from 20 people from a local hospital. Proteins from the diseased and normal tissues have been investigated by 2D gel electrophoresis and MALDI-TOF-MS. The peptide mass fingerprint data were fed into various public domains like Mascot, MS-Fit, and Pept-ident against Swiss-Prot protein database and the proteins of interest were identified. Some of the differentially expressed proteins identified were human annexin, glutathione S-transferase, vimentin, enolase-1, dihydrolipoamide dehydrogenase, glutamate dehydrogenase, Cyclin A1, hormone sensitive lipase, beta catenin, and so forth. Many types of proteins were identified as fundamental steps for developing molecular markers for diagnosis of human breast cancer as well as making a new proteomic database for future research.

Indexed as

ProteomicsBiomarkers, TumorBreast NeoplasmsElectrophoresis, Gel, Two-DimensionalFemaleFormaldehydeGene Expression Regulation, NeoplasticHumansNeoplasm ProteinsParaffinSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorFormaldehydeNeoplasm ProteinsParaffin

Identifiers

PMID27110560
PMCPMC4823502
OpenAlexW2303765229

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.