Evidence map›Paper›PMID 38038766›Full record

ArticleBreast cancer research and treatment2024

Association of clinicopathologic and molecular factors with the occurrence of positive margins in breast cancer.

Anupama Praveen Kumar, Diego Vicente, Jianfang Liu, Praveen-Kumar Raj-Kumar, Brenda Deyarmin, Xiaoying Lin, Craig D Shriver, Hai Hu

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 1 country.

Anupama Praveen KumarChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA.ORCID http://orcid.org/0000-0003-1814-3950
Diego VicenteNaval Medical Center, San Diego, CA, USA.
Jianfang LiuChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA.
Praveen-Kumar Raj-KumarChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA.
Brenda DeyarminChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA.
Xiaoying LinChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA.
Craig D ShriverMurtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Hai HuChan Soon-Shiong Institute of Molecular Medicine at Windber (CSSIMMW), Windber, PA, USA. h.hu@wriwindber.org.
Windber Research Institute · USNaval Medical Center San Diego · USUniformed Services University of the Health Sciences · US

Funding

Uniformed Services University of the Health Sciences HU0001-19-20058Uniformed Services University of the Health Sciences HU0001-21-20001Uniformed Services University of the Health Sciences HU0001-22-20005
6 · The paper itself

Abstract

purposeTo explore the association of clinicopathologic and molecular factors with the occurrence of positive margins after first surgery in breast cancer.

methodsThe clinical and RNA-Seq data for 951 (75 positive and 876 negative margins) primary breast cancer patients from The Cancer Genome Atlas (TCGA) were used. The role of each clinicopathologic factor for margin prediction and also their impact on survival were evaluated using logistic regression, Fisher's exact test, and Cox proportional hazards regression models. In addition, differential expression analysis on a matched dataset (71 positive and 71 negative margins) was performed using Deseq2 and LASSO regression.

resultsAssociation studies showed that higher stage, larger tumor size (T), positive lymph nodes (N), and presence of distant metastasis (M) significantly contributed (p ≤ 0.05) to positive surgical margins. In case of surgery, lumpectomy was significantly associated with positive margin compared to mastectomy. Moreover, PAM50 Luminal A subtype had higher chance of positive margin resection compared to Basal-like subtype. Survival models demonstrated that positive margin status along with higher stage, higher TNM, and negative hormone receptor status was significant for disease progression. We also found that margin status might be a surrogate of tumor stage. In addition, 29 genes that could be potential positive margin predictors and 8 pathways were identified from molecular data analysis.

conclusionThe occurrence of positive margins after surgery was associated with various clinical factors, similar to the findings reported in earlier studies. In addition, we found that the PAM50 intrinsic subtype Luminal A has more chance of obtaining positive margins compared to Basal type. As the first effort to pursue molecular understanding of the margin status, a gene panel of 29 genes including 17 protein-coding genes was also identified for potential prediction of the margin status which needs to be validated using a larger sample set.

Indexed as

Breast NeoplasmsBreastFemaleHumansMargins of ExcisionMastectomyMastectomy, SegmentalNeoplasm Recurrence, LocalRetrospective StudiesBreast cancerMargin statusRNA-SeqTCGA

Identifiers

PMID38038766
PMCPMC10805852
OpenAlexW4389244781

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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.