Evidence map›Paper›PMID 34981997›Full record

ArticleTechnology in cancer research & treatment

Transcriptomic Analysis of Breast Cancer Patients Sensitive and Resistant to Chemotherapy: Looking for Overall Survival and Drug Resistance Biomarkers.

Carlos A Barrón-Gallardo, Mariel Garcia-Chagollán, Andres J Morán-Mendoza, Raul Delgadillo-Cristerna, María G Martínez-Silva, Adriana Aguilar-Lemarroy, Luis F Jave-Suárez

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. mBiochemical genetics · 2026
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  17. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
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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

7 authors at 2 institutions in 1 country.

Carlos A Barrón-GallardoCentro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Mariel Garcia-ChagollánCentro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
Andres J Morán-Mendoza37767Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico.
Raul Delgadillo-Cristerna37767Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico.
María G Martínez-Silva37767Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico.
Adriana Aguilar-Lemarroy37767Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico.
Luis F Jave-Suárez37767Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Jalisco, Mexico.ORCID 0000-0001-6209-5031
Mexican Social Security Institute · MXUniversidad de Guadalajara · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide breast cancer ranks first in mortality and incidence rates in women over 20 years old. Rather than one disease, breast cancer is a heterogeneous group of diseases that express distinct molecular profiles. Neoadjuvant chemotherapy is an important therapeutic strategy for breast cancer patients independently of their molecular subtype, with the drawback of resistance development. In addition, chemotherapy has adverse effects that combined with resistance could contribute to lower overall survival. Although great efforts have been made to find diagnostic and prognostic biomarkers for breast cancer and for response to targeted and immune therapy for this pathology, little has been explored regarding biomarkers of response to anthracyclines and taxanes based neoadjuvant chemotherapy. This work aimed to evaluate the molecular profile of patients who received neoadjuvant chemotherapy to identify differentially expressed genes (DEGs) that could be used as biomarkers of chemotherapy response and overall survival. Breast cancer patients who were candidates for neoadjuvant chemotherapy were enrolled in this study. After treatment and according to their pathological response, they were assigned as sensitive or resistant. To evaluate DEGs, Gene Ontology, Kyoto Encyclopedia Gene and Genome (KEGG), and protein-protein interactions, RNA-seq information from all patients was obtained by next-generation sequencing. A total of 1985 DEGs were found, and KEGG analysis indicated a great number of DEGs in metabolic pathways, pathways in cancer, cytokine-cytokine receptor interactions, and neuroactive ligand-receptor interactions. A selection of 73 DEGs was used further for an analysis of overall survival using the METABRIC study and the ductal carcinoma dataset of The Cancer Genome Atlas (TCGA) database. Nine DEGs correlated with overall survival, of which the subexpression of

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticTranscriptomeBiomarkers, TumorBreast NeoplasmsCell Line, TumorClinical Decision-MakingComputational BiologyDisease ManagementDrug Resistance, NeoplasmFemaleGene OntologyHumansNeoadjuvant TherapyPrognosisProtein Interaction MappingBiomarkers, Tumorbiomarkerbreast cancercancer survivalgene expressionneoadjuvant chemotherapyRNA SEQ

Identifiers

PMID34981997
PMCPMC8733364
OpenAlexW4221113877

What OpenQuestion holds

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Registered trials

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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.