Prognostic Molecular Classification of Appendiceal Mucinous Neoplasms Treated with Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy

BACKGROUND: Appendiceal mucinous neoplasm (AMN) with peritoneal metastasis is a rare but deadly disease with few prognostic or therapy-predictive biomarkers to guide treatment decisions. Here, we investigated the prognostic and biological attributes of gene expression-based AMN molecular subtypes.

METHODS: AMN specimens (n = 138) derived from a population-based subseries of patients treated at our institution with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) between 05/2000 and 05/2013 were analyzed for gene expression using a custom-designed NanoString 148-gene panel. Signed non-negative matrix factorization (sNMF) was used to define a gene signature capable of delineating robustly-classified AMN molecular subtypes. The sNMF class assignments were evaluated by topology learning, reverse-graph embedding and cross-cohort performance analysis.

RESULTS: Three molecular subtypes of AMN were discerned by the expression patterns of 17 genes with roles in cancer progression or anti-tumor immunity. Tumor subtype assignments were confirmed by topology learning. AMN subtypes were termed immune-enriched (IE), oncogene-enriched (OE) and mixed (M) as evidenced by their gene expression patterns, and exhibited significantly different post-treatment survival outcomes. Genes with specialized immune functions, including markers of T-cells, natural killer cells, B-cells, and cytolytic activity showed increased expression in the low-risk IE subtype, while genes implicated in the promotion of cancer growth and progression were more highly expressed in the high-risk OE subtype. In multivariate analysis, the subtypes demonstrated independent prediction power for post-treatment survival.

CONCLUSIONS: Our findings suggest a greater role for the immune system in AMN than previously recognized. AMN subtypes may have clinical utility for predicting CRS/HIPEC treatment outcomes.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:27

Enthalten in:

Annals of surgical oncology - 27(2020), 5 vom: 24. Mai, Seite 1439-1447

Sprache:

Englisch

Beteiligte Personen:

Su, Jing [VerfasserIn]
Jin, Guangxu [VerfasserIn]
Votanopoulos, Konstantinos I [VerfasserIn]
Craddock, Lou [VerfasserIn]
Shen, Perry [VerfasserIn]
Chou, Jeff W [VerfasserIn]
Qasem, Shadi [VerfasserIn]
O'Neill, Stacey S [VerfasserIn]
Perry, Kathleen Cummins [VerfasserIn]
Miller, Lance D [VerfasserIn]
Levine, Edward A [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 30.12.2020

Date Revised 02.05.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1245/s10434-020-08210-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM305776304