Clinical understaging in early gastric cancer: A common and significant problem.

A Alexandra Adams (Rutgers Cancer Institute, New Brunswick, NJ) K Katherine De La Torre-Cisneros (Rutgers Cancer Institute, New Brunswick, NJ) B Brijesh Rana (Rutgers Cancer Institute, New Brunswick, NJ) H Hayavadhan Thuppal (Montefiore Medical Center, Bronx, NY) M Mariam F. Eskander (Rutgers Cancer Institute of New Jersey, New Brunswick, NJ) B Brett Logan Ecker (Rutgers Cancer Institute, New Brunswick, NJ) T Timothy Kennedy (Department of Surgery, MedStar Health, Washington, DC) M Miral Grandhi (Rutgers Cancer Institute of New Jersey, New Brunswick, NJ) H Haejin In (Rutgers Cancer Institute, New Brunswick, NJ)

Abstract

333 Background: A portion of clinical stage I gastric cancer (GC) patients who undergo upfront surgery are understaged preoperatively and found to be higher stage based on final pathology, which can affect the treatment algorithm and GC outcomes. We sought to identify the incidence of understaging in this cohort and variables associated with increased risk of being understaged. Methods: Patients with clinical stage I (T1/2 N0) GC undergoing oncologic resection without neoadjuvant therapy from 2013-2020 were identified in the National Cancer Database (NCDB). Clinicopathologic predictors of understaging were identified using multivariable logistic regression. The relationship between identified variables and understaging was then modeled using logistic regression with natural cubic splines to allow for a flexible, nonlinear analysis. Cox proportional hazards analysis and Kaplan-Meier curves evaluated survival outcomes. Results: 4,370 clinical stage I GC patients were identified, of which 36.0% were initially understaged on clinical staging. Tumor size (per millimeter increase OR: 1.05, 95% CI 1.04-1.05, p<0.001), higher grade (moderate: OR 2.76, 95% CI 1.99-3.84; poor/anaplastic OR: 5.99, 95% CI 1.99-3.84, p<0.001), and non-academic treatment facilities (OR 1.19, 95% CI 1.03-1.38, p=0.017) were associated with increased risk of understaging. Spline analysis showed increased risk of understaging based on tumor size. This was compounded when tumor differentiation was considered, such that a tumor measuring 2.5cm was associated with 16.9%, 31.8%, or 51.6% likelihood of clinical understaging if the tumor was well, moderate, or poorly differentiated, respectively. Understaging was associated with increased mortality (OR 2.31, 95% CI 2.10-2.95, p<0.001). Conclusions: More than a third of patients with clinical stage I GC are understaged and found to have higher stage on final pathology. Early GC with higher grade and larger size are at risk of being understaged using existing components (T-tumor depth, N-lymph node, M-metastasis) to determine clinical stage. Tumor grade and size should be considered on pre-operative evaluation of early GC to improve identification of patients at risk for understaging. Predicted probability of understaging by tumor size and tumor grade differentiation. Tumor Size (cm) Well-differentiated Moderately-differentiated Poorly-differentiated 1.0 4.0% 8.7% 17.9% 2.0 12.7% 25.1% 43.4% 3.0 20.3% 36.8% 57.1% 4.0 25.5% 43.9% 64.2% 5.0 30.7% 50.4% 69.9% 6.0 36.3% 56.6% 74.9% 7.0 42.4% 62.7% 79.4% 8.0 48.5% 68.3% 83.2% 9.0 54.5% 73.3% 86.3% 10.0 60.2% 77.6% 88.8%

Article Details

Volume / Issue Vol. 44, Issue 2_suppl
Published January 10, 2026
Pages 333-333
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (9)

A

Alexandra Adams

Rutgers Cancer Institute, New Brunswick, NJ

K

Katherine De La Torre-Cisneros

Rutgers Cancer Institute, New Brunswick, NJ

B

Brijesh Rana

Rutgers Cancer Institute, New Brunswick, NJ

H

Hayavadhan Thuppal

Montefiore Medical Center, Bronx, NY

M

Mariam F. Eskander

Rutgers Cancer Institute of New Jersey, New Brunswick, NJ

B

Brett Logan Ecker

Rutgers Cancer Institute, New Brunswick, NJ

T

Timothy Kennedy

Department of Surgery, MedStar Health, Washington, DC

M

Miral Grandhi

Rutgers Cancer Institute of New Jersey, New Brunswick, NJ

H

Haejin In

Rutgers Cancer Institute, New Brunswick, NJ