Evidence map›Paper›PMID 35626050›Full record

ArticleCancers2022

Distinct Gene Expression Profiles of Matched Primary and Metastatic Triple-Negative Breast Cancers.

Jaspreet Kaur, Darshan S Chandrashekar, Zsuzsanna Varga, Bettina Sobottka, Emiel Janssen, Jeanne Kowalski, Umay Kiraz, Sooryanarayana Varambally, Ritu Aneja

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-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

7 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

9 authors at 5 institutions in 3 countries.

Jaspreet KaurDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Darshan S ChandrashekarDepartment of Pathology-Molecular and Cellular, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Zsuzsanna VargaDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-2855-983X
Bettina SobottkaDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Emiel JanssenDepartment of Pathology, Stavanger University Hospital, Health Stavanger HF, P.O. Box 8100, 4068 Stavanger, Norway.ORCID 0000-0002-7760-5396
Jeanne KowalskiLivestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-3458-3024
Umay KirazDepartment of Pathology, Stavanger University Hospital, Health Stavanger HF, P.O. Box 8100, 4068 Stavanger, Norway.ORCID 0000-0002-6721-4877
Sooryanarayana VaramballyDepartment of Pathology-Molecular and Cellular, University of Alabama at Birmingham, Birmingham, AL 35233, USA.
Ritu AnejaDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Georgia State University · USStavanger University Hospital · NOUniversity Hospital of Zurich · CHUniversity of Alabama at Birmingham · USLivestrong Foundation · US

Funding

HSET as a racial disparity biomarker for TNBC patientsR01CA239120 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANEJA, RITU · 2019 to 2024
$3.0M
National Cancer Institute of Health R01CA239120NCI NIH HHS R01 CA239120
6 · The paper itself

Abstract

Background: Although triple-negative breast cancer (TNBC) is associated with an increased risk of recurrence and metastasis, the molecular mechanisms underlying metastasis in TNBC remain unknown. To identify transcriptional changes and genes regulating metastatic progression in TNBC, we compared the transcriptomic profiles of primary and matched metastatic tumors using massively parallel RNA sequencing. Methods: We performed gene expression profiling using formalin-fixed paraffin-embedded (FFPE) TNBC tissues of patients from two cohorts: the Zurich cohort (n = 31) and the Stavanger cohort (n = 5). Among the 31 patients in the Zurich cohort, 18 had primary TNBC tumors that did not metastasize, and 13 had primary tumors that metastasized (11 paired primary and locoregional recurrences). The Stavanger cohort included five matched primary and metastatic TNBC tumors. Significantly differentially expressed genes (DEGs; absolute fold change ≥2, p < 0.05) were identified and subjected to functional analyses. We investigated if there was any overlap between DEGs from both the cohorts with epithelial-to-mesenchymal-to-amoeboid transition (EMAT) gene signature. xCell was used to estimate relative fractions of 64 immune and stromal cell types in each RNA-seq sample. Results: In the Zurich cohort, we identified 1624 DEGs between primary TNBC tumors and matched metastatic lesions. xCell analysis revealed a significantly higher immune scores for metastatic lesions compared to paired primary tumors in the Zurich cohort. We also found significant upregulation of three MammaPrint signature genes (HRASLS, TGFB3 and RASSF7) in primary tumors that metastasized compared to primary tumors that remained metastasis-free. In the Stavanger cohort, we identified 818 DEGs between primary tumors and matched metastatic lesions. No significant differences in xCell immune scores were observed. We found that 21 and 14 DEGs from Zurich and Stavanger cohort, respectively, overlapped with the EMAT gene signature. In both cohorts, genes belonging to the MMP, FGF, and PDGFR families were upregulated in primary tumors compared to matched metastatic lesions. Conclusions: Our results suggest that distinct gene expression patterns exist between primary TNBCs and matched metastatic tumors. Further studies are warranted to explore whether these discrete expression profiles underlie or result from disease status.

Indexed as

DEGsmetastasesRNA-seqtriple-negative breast cancer

Identifiers

PMID35626050
PMCPMC9139196
OpenAlexW4280577052

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.