Abstract 3349: Loss of GATA2 promotes invasion and predicts cancer recurrence and survival in FIGO stage I uterine serous carcinoma

Background: Uterine cancer is the 4th most common cancer in women. Its incidence is increasing and its mortality rate also is rising. Uterine serous carcinoma (USC) is an aggressive uterine cancer subtype that is responsible for 40% of uterine cancer deaths. Although 50% of USC patients present with cancer localized to the uterine body (FIGO stage I) and should be cured by staging hysterectomy, 30% of these patients later recur in the absence of adjuvant combination paclitaxel-carboplatin chemotherapy. There is no reliable method to identify which USC patients are at risk of USC recurrence, so most patients receive risk-reducing adjuvant chemotherapy associated with significant morbidity. A priori knowledge of recurrence risk would enable a risk-stratified approach to adjuvant therapy to reduce morbidity and optimize survival. GATA Binding Protein 2 (GATA2) is a transcription factor that supports progesterone receptor signaling in the uterus. We recently generated anti-GATA2 monoclonal antibodies that can routinely detect GATA2 by standard immunohistochemistry (IHC). Methods: We assembled a retrospective multi-institutional cohort of 81 patients with primary FIGO stage I USCs. Associations between GATA2 levels and clinicopathologic metrics were evaluated using Student’s t-test, Fisher’s exact test, Kaplan-Meier method, and Cox proportional hazards ratio. Gene targets including GATA2 were depleted from Ark1 and Ark2 patient-derived USC cell lines using siRNA or shRNA, and cell invasion evaluated using Matrigel-coated membranes and organoid-based natural hydrogel. RNA-seq, anti-GATA2 ChIP-seq, and western blotting enabled identification of GATA2 gene targets. Results: GATA2 expression in USC tumors ranged from 0-100% GATA2+ tumor nuclei. USCs with >15% GATA2+ nuclei were defined as GATA2-high based on an initial inflection point in the data that optimally delineated patients by outcome. The 39% of patients with GATA2-high USCs had 100% recurrence-free, 100% disease-specific, and 87% overall survival. These outcomes were significantly better than patients with GATA2-low USCs. Depletion of GATA2 in USC cell lines increased invasion in vitro. In patients who received no adjuvant chemotherapy (n=18), those with GATA2-high USCs had 100% recurrence-free survival compared to 50% recurrence-free survival in GATA2-low USC patients. A multi-omic approach identified SIN3 Transcription Regulator Family Member B as a GATA2 target gene that suppressed USC invasion in vitro. Conclusions: GATA2 IHC identifies FIGO stage I USC patients with a greatly reduced risk of USC recurrence. A GATA2 guided personalized medicine approach using standard IHC methods could be rapidly implemented in most hospital settings, would reduce treatment-related morbidity, and may optimize survival for USC patients. Citation Format: Usha S. Polaki, Trey E. Gilpin, Apoorva T. Patil, Emily Chiu, Paula M. Manan Mejias, Pei Hui, Maria Virumbrales-Muñoz, Lisa Barroilhet, Stephanie M. McGregor, Emery H. Bresnick, Daniel R. Matson. Loss of GATA2 promotes invasion and predicts cancer recurrence and survival in FIGO stage I uterine serous carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3349.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-3349
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 3349: Loss of GATA2 promotes invasion and predicts cancer recurrence and survival in FIGO stage I uterine serous carcinoma

P. Moreno Mejías, Daniel R. Matson, Trey Gilpin, Apoorva T. Patil et al.
Cancer Research
Cancer-related molecular mechanisms research
article

Abstract 3349: Loss of GATA2 promotes invasion and predicts cancer recurrence and survival in FIGO stage I uterine serous carcinoma

P. Moreno Mejías, Daniel R. Matson, Trey Gilpin, Apoorva T. Patil, Lisa Barroilhet, Marı́a Virumbrales-Muñoz, Stephanie M. McGregor, Usha S. Polaki, Pei Hui, Emery Bresnick, Emily Chiu
article en

Abstract

Background: Uterine cancer is the 4th most common cancer in women. Its incidence is increasing and its mortality rate also is rising. Uterine serous carcinoma (USC) is an aggressive uterine cancer subtype that is responsible for 40% of uterine cancer deaths. Although 50% of USC patients present with cancer localized to the uterine body (FIGO stage I) and should be cured by staging hysterectomy, 30% of these patients later recur in the absence of adjuvant combination paclitaxel-carboplatin chemotherapy. There is no reliable method to identify which USC patients are at risk of USC recurrence, so most patients receive risk-reducing adjuvant chemotherapy associated with significant morbidity. A priori knowledge of recurrence risk would enable a risk-stratified approach to adjuvant therapy to reduce morbidity and optimize survival. GATA Binding Protein 2 (GATA2) is a transcription factor that supports progesterone receptor signaling in the uterus. We recently generated anti-GATA2 monoclonal antibodies that can routinely detect GATA2 by standard immunohistochemistry (IHC). Methods: We assembled a retrospective multi-institutional cohort of 81 patients with primary FIGO stage I USCs. Associations between GATA2 levels and clinicopathologic metrics were evaluated using Student’s t-test, Fisher’s exact test, Kaplan-Meier method, and Cox proportional hazards ratio. Gene targets including GATA2 were depleted from Ark1 and Ark2 patient-derived USC cell lines using siRNA or shRNA, and cell invasion evaluated using Matrigel-coated membranes and organoid-based natural hydrogel. RNA-seq, anti-GATA2 ChIP-seq, and western blotting enabled identification of GATA2 gene targets. Results: GATA2 expression in USC tumors ranged from 0-100% GATA2+ tumor nuclei. USCs with >15% GATA2+ nuclei were defined as GATA2-high based on an initial inflection point in the data that optimally delineated patients by outcome. The 39% of patients with GATA2-high USCs had 100% recurrence-free, 100% disease-specific, and 87% overall survival. These outcomes were significantly better than patients with GATA2-low USCs. Depletion of GATA2 in USC cell lines increased invasion in vitro. In patients who received no adjuvant chemotherapy (n=18), those with GATA2-high USCs had 100% recurrence-free survival compared to 50% recurrence-free survival in GATA2-low USC patients. A multi-omic approach identified SIN3 Transcription Regulator Family Member B as a GATA2 target gene that suppressed USC invasion in vitro. Conclusions: GATA2 IHC identifies FIGO stage I USC patients with a greatly reduced risk of USC recurrence. A GATA2 guided personalized medicine approach using standard IHC methods could be rapidly implemented in most hospital settings, would reduce treatment-related morbidity, and may optimize survival for USC patients. Citation Format: Usha S. Polaki, Trey E. Gilpin, Apoorva T. Patil, Emily Chiu, Paula M. Manan Mejias, Pei Hui, Maria Virumbrales-Muñoz, Lisa Barroilhet, Stephanie M. McGregor, Emery H. Bresnick, Daniel R. Matson. Loss of GATA2 promotes invasion and predicts cancer recurrence and survival in FIGO stage I uterine serous carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3349.

Cancer ResearchVol. 85(8_Supplement_1)
University of Wisconsin–Madison (US), Yale University (US)
Openalex Percentile: Top 90%
Cancer-related molecular mechanisms research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.