Evidence map›Paper›PMID 36362107›Full record

ArticleInternational journal of molecular sciences2022

A Case Series Exploration of Multi-Regional Expression Heterogeneity in Triple-Negative Breast Cancer Patients.

Qi Xu, Jaspreet Kaur, Dennis Wylie, Karuna Mittal, Hongxiao Li, Rishab Kolachina, Mohammed Aleskandarany, Michael S Toss, Andrew R Green, Jianchen Yang and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Recent Advances in Breast Cancer Research.International journal of molecular sciences · 2023
    Article
  8. 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

17 authors at 5 institutions in 3 countries.

Qi XuDepartment of Oncology, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
Jaspreet KaurDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Dennis WylieCenter for Biomedical Research Support, The University of Texas at Austin, Austin, TX 78705, USA.
Karuna MittalDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Hongxiao LiDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.ORCID 0000-0002-6114-8215
Rishab KolachinaDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Mohammed AleskandaranyUniversity of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.ORCID 0000-0001-5538-5946
Michael S TossUniversity of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.
Andrew R GreenUniversity of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.ORCID 0000-0002-0488-5913
Jianchen YangOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78705, USA.
Thomas E YankeelovDepartment of Oncology, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6201-3913
Shristi BhattaraiDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Emiel A M JanssenDepartment of Pathology, Stavanger University Hospital, 4011 Stavanger, Norway.ORCID 0000-0002-7760-5396
Jun KongDepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.ORCID 0000-0001-8757-8339
Emad A RakhaUniversity of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.
Jeanne KowalskiDepartment of Oncology, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
Ritu AnejaDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Georgia State University · USNottingham University Hospitals NHS Trust · GBLivestrong Foundation · USThe University of Texas at Austin · USStavanger University Hospital · NO

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 RO1CA239120NCI NIH HHS R01 CA239120
6 · The paper itself

Abstract

Extensive intratumoral heterogeneity (ITH) is believed to contribute to therapeutic failure and tumor recurrence, as treatment-resistant cell clones can survive and expand. However, little is known about ITH in triple-negative breast cancer (TNBC) because of the limited number of single-cell sequencing studies on TNBC. In this study, we explored ITH in TNBC by evaluating gene expression-derived and imaging-derived multi-region differences within the same tumor. We obtained tissue specimens from 10 TNBC patients and conducted RNA sequencing analysis of 2-4 regions per tumor. We developed a novel analysis framework to dissect and characterize different types of variability: between-patients (inter-tumoral heterogeneity), between-patients across regions (inter-tumoral and region heterogeneity), and within-patient, between-regions (regional intratumoral heterogeneity). We performed a Bayesian changepoint analysis to assess and classify regional variability as low (convergent) versus high (divergent) within each patient feature (TNBC and PAM50 subtypes, immune, stroma, tumor counts and tumor infiltrating lymphocytes). Gene expression signatures were categorized into three types of variability: between-patients (108 genes), between-patients across regions (183 genes), and within-patients, between-regions (778 genes). Based on the between-patient gene signature, we identified two distinct patient clusters that differed in menopausal status. Significant intratumoral divergence was observed for PAM50 classification, tumor cell counts, and tumor-infiltrating T cell abundance. Other features examined showed a representation of both divergent and convergent results. Lymph node stage was significantly associated with divergent tumors. Our results show extensive intertumoral heterogeneity and regional ITH in gene expression and image-derived features in TNBC. Our findings also raise concerns regarding gene expression based TNBC subtyping. Future studies are warranted to elucidate the role of regional heterogeneity in TNBC as a driver of treatment resistance.

Indexed as

Triple Negative Breast NeoplasmsBayes TheoremBiomarkers, TumorHumansLymph NodesLymphocytes, Tumor-InfiltratingNeoplasm Recurrence, LocalBiomarkers, Tumorgene expressionintratumoral heterogeneitytriple negative breast cancer

Identifiers

PMID36362107
PMCPMC9655720
OpenAlexW4308120858

What Socratic 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 Socratic graph.