Association Between Spatial Heterogeneity Within Nonmetastatic Gastroesophageal Adenocarcinomas and Survival.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 04 2020
Historique:
entrez: 28 4 2020
pubmed: 28 4 2020
medline: 23 10 2020
Statut: epublish

Résumé

Intratumoral heterogeneity has been recognized as a significant barrier in successfully developing targetable biomarkers for gastroesophageal adenocarcinoma (GEA) and may affect neoadjuvant precision medicine approaches. To describe intratumoral spatial heterogeneity of tumor cell populations in nonmetastatic GEA and its association with survival. This case series retrospectively identified 41 patients with GEA who underwent up-front surgical resection at a tertiary referral cancer center from January 1, 1989, through December 31, 2013. Survival was calculated from date of surgery to date of death through June 1, 2017. Data were analyzed from June 2, 2017, to March 1, 2019. Overall survival, intratumoral clonal composition determined by genomic single-nucleotide variation array and bioinformatic analysis, and intercellular tumoral distances determined by multiprobe fluorescence in situ hybridization. Among the 41 patients included in the analysis (22 men [54%]; mean [SD] age, 63 [12] years), a high proportion (19 [46%]) presented with tumors possessing high intratumoral heterogeneity. Kaplan-Meier analysis demonstrated that cases with an intratumoral clonal composition count of at least 2 exhibited worse survival compared with cases with a clonal composition count of 0 to 1 (univariate hazard ratio, 3.92; 95% CI, 1.27-12.08; P = .02). This finding remained significant on multivariate analysis controlling for stage, Lauren histologic subtype, receipt of adjuvant therapy, and age (multivariate hazard ratio, 4.55; 95% CI, 1.09-19.04; P = .04). Multiprobe fluorescence in situ hybridization demonstrated intratumoral clonal populations coexisting at submillimeter distances with differing relevant oncogenic copy number alterations, such as EGFR, JAK2, FGFR2, MET, CCND1, KRAS, MYC, PIK3CA, CD274, and PDCD1LG2. This study found that spatial intratumoral heterogeneity of oncogenic copy number alterations exists before metastatic dissemination, and increased heterogeneity was associated with worse outcomes in resected GEA. Baseline heterogeneity illustrates the challenges in GEA targeted therapy. Further study may offer insight into strategies on combinatorial and/or sequential targeted and immunotherapeutic approaches.

Identifiants

pubmed: 32338752
pii: 2764811
doi: 10.1001/jamanetworkopen.2020.3652
pmc: PMC7186861
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e203652

Subventions

Organisme : NCI NIH HHS
ID : P30 CA033572
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Joseph Chao (J)

Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, California.

Victoria Bedell (V)

Cytogenetics Core, City of Hope Comprehensive Cancer Center, Duarte, California.

Jeeyun Lee (J)

Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Min Sierra Li (MS)

Department of Biostatistics, City of Hope Comprehensive Cancer Center, Duarte, California.

Peiguo Chu (P)

Department of Pathology, City of Hope Comprehensive Cancer Center, Duarte, California.

Yate-Ching Yuan (YC)

Bioinformatics Core, City of Hope Comprehensive Cancer Center, Duarte, California.

Dan Zhao (D)

Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, California.

Samuel J Klempner (SJ)

Department of Medicine, Massachusetts General Hospital Cancer Center, Boston.
Harvard Medical School, Boston, Massachusetts.

Ren-Jang Lin (RJ)

Department of Molecular and Cellular Biology, Beckman Research Institute of City of Hope, Duarte, California.

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Classifications MeSH