A risk-associated Active transcriptome phenotype expressed by histologically normal human breast tissue and linked to a pro-tumorigenic adipocyte population.


Journal

Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353

Informations de publication

Date de publication:
31 07 2020
Historique:
received: 27 03 2020
accepted: 23 07 2020
entrez: 2 8 2020
pubmed: 2 8 2020
medline: 6 11 2020
Statut: epublish

Résumé

Previous studies have identified and validated a risk-associated Active transcriptome phenotype commonly expressed in the cancer-adjacent and histologically normal epithelium, stroma, and adipose containing peritumor microenvironment of clinically established invasive breast cancers, conferring a 2.5- to 3-fold later risk of dying from recurrent breast cancer. Expression of this Active transcriptome phenotype has not yet been evaluated in normal breast tissue samples unassociated with any benign or malignant lesions; however, it has been associated with increased peritumor adipocyte composition. Detailed histologic and transcriptomic (RNAseq) analyses were performed on normal breast biopsy samples from 151 healthy, parous, non-obese (mean BMI = 29.60 ± 7.92) women, ages 27-66 who donated core breast biopsy samples to the Komen Tissue Bank, and whose average breast cancer risk estimate (Gail score) at the time of biopsy (1.27 ± 1.34) would not qualify them for endocrine prevention therapy. Full genome RNA sequencing (RNAseq) identified 52% (78/151) of these normal breast samples as expressing the Active breast phenotype. While Active signature genes were found to be most variably expressed in mammary adipocytes, donors with the Active phenotype had no difference in BMI but significantly higher Gail scores (1.46 vs. 1.18; p = 0.007). Active breast samples possessed 1.6-fold more (~ 80%) adipocyte nuclei, larger cross-sectional adipocyte areas (p < 0.01), and 0.5-fold fewer stromal and epithelial cell nuclei (p < 1e-6). Infrequent low-level expression of cancer gene hotspot mutations was detected but not enriched in the Active breast samples. Active samples were enriched in gene sets associated with adipogenesis and fat metabolism (FDR q ≤ 10%), higher signature scores for cAMP-dependent lipolysis known to drive breast cancer progression, white adipose tissue browning (Wilcoxon p < 0.01), and genes associated with adipocyte activation (leptin, adiponectin) and remodeling (CAV1, BNIP3), adipokine growth factors (IGF-1, FGF2), and pro-inflammatory fat signaling (IKBKG, CCL13). The risk-associated Active transcriptome phenotype first identified in cancer-adjacent breast tissues also occurs commonly in healthy women without breast disease who do not qualify for breast cancer chemoprevention, and independently of breast expressed cancer-associated mutations. The risk-associated Active phenotype appears driven by a pro-tumorigenic adipocyte microenvironment that can predate breast cancer development.

Sections du résumé

BACKGROUND
Previous studies have identified and validated a risk-associated Active transcriptome phenotype commonly expressed in the cancer-adjacent and histologically normal epithelium, stroma, and adipose containing peritumor microenvironment of clinically established invasive breast cancers, conferring a 2.5- to 3-fold later risk of dying from recurrent breast cancer. Expression of this Active transcriptome phenotype has not yet been evaluated in normal breast tissue samples unassociated with any benign or malignant lesions; however, it has been associated with increased peritumor adipocyte composition.
METHODS
Detailed histologic and transcriptomic (RNAseq) analyses were performed on normal breast biopsy samples from 151 healthy, parous, non-obese (mean BMI = 29.60 ± 7.92) women, ages 27-66 who donated core breast biopsy samples to the Komen Tissue Bank, and whose average breast cancer risk estimate (Gail score) at the time of biopsy (1.27 ± 1.34) would not qualify them for endocrine prevention therapy.
RESULTS
Full genome RNA sequencing (RNAseq) identified 52% (78/151) of these normal breast samples as expressing the Active breast phenotype. While Active signature genes were found to be most variably expressed in mammary adipocytes, donors with the Active phenotype had no difference in BMI but significantly higher Gail scores (1.46 vs. 1.18; p = 0.007). Active breast samples possessed 1.6-fold more (~ 80%) adipocyte nuclei, larger cross-sectional adipocyte areas (p < 0.01), and 0.5-fold fewer stromal and epithelial cell nuclei (p < 1e-6). Infrequent low-level expression of cancer gene hotspot mutations was detected but not enriched in the Active breast samples. Active samples were enriched in gene sets associated with adipogenesis and fat metabolism (FDR q ≤ 10%), higher signature scores for cAMP-dependent lipolysis known to drive breast cancer progression, white adipose tissue browning (Wilcoxon p < 0.01), and genes associated with adipocyte activation (leptin, adiponectin) and remodeling (CAV1, BNIP3), adipokine growth factors (IGF-1, FGF2), and pro-inflammatory fat signaling (IKBKG, CCL13).
CONCLUSIONS
The risk-associated Active transcriptome phenotype first identified in cancer-adjacent breast tissues also occurs commonly in healthy women without breast disease who do not qualify for breast cancer chemoprevention, and independently of breast expressed cancer-associated mutations. The risk-associated Active phenotype appears driven by a pro-tumorigenic adipocyte microenvironment that can predate breast cancer development.

Identifiants

pubmed: 32736587
doi: 10.1186/s13058-020-01322-6
pii: 10.1186/s13058-020-01322-6
pmc: PMC7395362
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

81

Subventions

Organisme : NCI NIH HHS
ID : U24 CA210990
Pays : United States
Organisme : NCI NIH HHS
ID : F99 CA212488
Pays : United States
Organisme : NIA NIH HHS
ID : AG052374
Pays : United States

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Auteurs

Taekyu Kang (T)

Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA, 94945, USA.

Christina Yau (C)

Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA, 94945, USA.

Christopher K Wong (CK)

University of California, Genomics Institute, Santa Cruz, CA, USA.

John Z Sanborn (JZ)

ImmunityBio, Santa Cruz, CA, USA.

Yulia Newton (Y)

ImmunityBio, Santa Cruz, CA, USA.

Charlie Vaske (C)

ImmunityBio, Santa Cruz, CA, USA.

Stephen C Benz (SC)

ImmunityBio, Santa Cruz, CA, USA.

Gregor Krings (G)

University of California, San Francisco, CA, USA.

Roman Camarda (R)

Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA, 94945, USA.

Jill E Henry (JE)

Susan G. Komen Tissue Bank at the Indiana University Simon Cancer Center, Indianapolis, IN, USA.

Josh Stuart (J)

University of California, Genomics Institute, Santa Cruz, CA, USA.

Mark Powell (M)

Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA, 94945, USA.

Christopher C Benz (CC)

Buck Institute for Research on Aging, 8001 Redwood Blvd., Novato, CA, 94945, USA. cbenz@buckinstitute.org.

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