Evidence map›Paper›PMID 38029922›Full record

ArticleThe American journal of pathology2024

Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis.

Qingyuan Song, Kristen E Muller, Liesbeth M Hondelink, Roberta M diFlorio-Alexander, Margaret R Karagas, Saeed Hassanpour

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Qingyuan SongDepartment of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire.
Kristen E MullerDepartment of Pathology and Laboratory Medicine, Dartmouth Health, Lebanon, New Hampshire.
Liesbeth M HondelinkDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Roberta M diFlorio-AlexanderDepartment of Radiology, Dartmouth Health, Lebanon, New Hampshire.
Margaret R KaragasDepartment of Epidemiology, Dartmouth College, Hanover, New Hampshire.
Saeed HassanpourDepartment of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire; Department of Epidemiology, Dartmouth College, Hanover, New Hampshire; Department of Computer Science, Dartmouth College, Hanover, New Hampshire. Electronic address: saeed.hassanpour@dartmouth.edu.
Dartmouth College · USDartmouth Psychiatric Research Center · USLeiden University Medical Center · NL

Funding

Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2022
$23.7M
Advancing Digital Pathology through Novel Machine Learning MethodologiesR01LM013833 · NLM · DARTMOUTH COLLEGE · PI Saeed Hassanpour · 2022 to 2026
$3.0M
Clinicopathologic and Genetic Profiling through Machine Learning and Natural Language Processing for Precision Lung Cancer ManagementR01CA249758 · NCI · DARTMOUTH COLLEGE · PI HASSANPOUR, SAEED · 2019 to 2022
$1.5M
Improving Colorectal Cancer Screening and Risk Assessment through Deep Learning on Medical Images and RecordsR01LM012837 · NLM · DARTMOUTH COLLEGE · PI HASSANPOUR, SAEED · 2019 to 2022
$1.4M
NCI NIH HHS R01 CA249758NIGMS NIH HHS P20 GM104416NLM NIH HHS R01 LM012837NLM NIH HHS R01 LM013833
6 · The paper itself

Abstract

Obese patients with breast cancer have worse outcomes than their normal weight counterparts, with a 50% to 80% increased rate of axillary nodal metastasis. Recent studies suggest a link between increased lymph node adipose tissue and breast cancer nodal metastasis. Further investigation into potential mechanisms underlying this link may reveal potential prognostic utility of fat-enlarged lymph nodes in patients with breast cancer. This study used a deep learning model to identify morphologic differences in nonmetastatic axillary nodes between obese, node-positive, and node-negative patients with breast cancer. The model was developed using nested cross-validation on 180 cases and achieved an area under the receiver operator characteristic curve of 0.67 in differentiating patients using hematoxylin and eosin-stained whole slide images. The morphologic analysis of the predictive regions showed an increased average adipocyte size (P = 0.004), increased white space between lymphocytes (P < 0.0001), and increased red blood cells (P < 0.001) in nonmetastatic lymph nodes of node-positive patients. Preliminary immunohistochemistry analysis on a subset of 30 patients showed a trend of decreased CD3 expression and increased leptin expression in fat-replaced axillary lymph nodes of obese, node-positive patients. These findings suggest a novel direction to further investigate the interaction between lymph node adiposity, lymphatic dysfunction, and breast cancer nodal metastases, highlighting a possible prognostic tool for obese patients with breast cancer.

Indexed as

Breast NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesNeoplasm StagingObesity

Identifiers

PMID38029922
PMCPMC10835463
OpenAlexW4389046063

What OpenQuestion holds

Textmetadata
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.