Evidence map›Paper›PMID 39606492›Full record

ArticleResearch square2024

DEPTH2 score was associated with cell proliferation and immune cell infiltrations but not with systemic treatment response in breast cancer.

Kohei Chida, Rongrong Wu, Arya Mariam Roy, Takashi Ishikawa, Kenichi Hakamada, Kazuaki Takabe

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kohei ChidaRoswell Park Comprehensive Cancer Center.
Rongrong WuRoswell Park Comprehensive Cancer Center.
Arya Mariam RoyOhio State University.
Takashi IshikawaTokyo Medical University.
Kenichi HakamadaHirosaki University Graduate School of Medicine.
Kazuaki TakabeRoswell Park Comprehensive Cancer Center.

Funding

Impact of Circulating Myeloid Cell Clusters on Anti-Tumor ImmunityR01CA250412 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI ABRAMS, SCOTT I., EVANS, SHARON S · 2021 to 2025
$3.4M
Functional Significance of individual p53 mutations in determining the role of estrogen receptor beta in triple negative breast cancerR01CA251545 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DAS, GOKUL M. · 2021 to 2025
$2.9M
Leveraging the GTP Biosynthetic Pathway for Anti-Tumor TherapiesR37CA248018 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Anna Bianchi-Smiraglia · 2021 to 2026
$2.3M
Multiparametric photoacoustic and ultrasonic imaging of the breast in cranial-caudal viewR01EB029596 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2020 to 2023
$1.4M
NCI NIH HHS R01 CA250412NCI NIH HHS R01 CA251545NCI NIH HHS R37 CA248018NIBIB NIH HHS R01 EB029596
6 · The paper itself

Abstract

Intratumoral genomic heterogeneity (ITGH), the existence of genotypic and phenotypic variation within an individual tumor, is known to be a key mechanism in treatment resistance. Deviating gene Expression Profiling Tumor Heterogeneity 2 (DEPTH2) algorithm was developed to estimate ITGH using solely RNA expression data unlike the others that require both DNA- and RNA-expression data. Total of 6,500 breast cancer patients from multiple independent cohorts were analyzed using DEPTH2. High DEPTH2 score patients were associated with worse overall survival consistently across all subtypes in METABRIC, but not in TCGA and SCAN-B cohort. Higher DEPTH2 score was linked to increased cell proliferation, as evidenced by elevated Nottingham histological grades and Ki67 gene expression, as well as enrichment of the cell proliferation-related gene sets, and immune cell infiltrations. DEPTH2 score was significantly higher in triple negative breast cancer among the subtypes but did not reflect with lymph node and distal metastasis. DEPTH2 scores decreased in two but showed no change in another two cohorts after neoadjuvant chemotherapy (NAC). DEPTH2 score was not associated with pathologic complete response after NAC in any subtypes across 3 cohorts. DEPTH2 score may not capture the entire biological aspects of ITGH in breast cancer patients.

Indexed as

Breast cancerDEPTH2Gene expressionIntratumoral genomic heterogeneity

Identifiers

PMID39606492
PMCPMC11601872

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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.