Pathological characteristics and HER2 status of gastric cancer in Chinese high-incidence area

A retrospective analysis was conducted on the positive rate of HER2 in gastric cancer in the Chinese high-incidence area of Wuwei from 2015 to 2024. The pathological characteristics of HER2-positive gastric cancer were explored to provide a basis for precise diagnosis and treatment in high-incidence areas of gastric cancer. A retrospective study design was adopted to collect and analysis the HER2 expression status of gastric cancer surgical specimens from 2015 to 2024. A total of 416 gastric cancer surgical specimens were collected for HER2 detection, and the positive rate of HER2 was 9.13% (38/416), including 33 males (9.68%) and 5 females (6.67%), with no statistical significance (P >.05). There were 24 (8.63%) HER2 positive patients over 60 years old, 11 (10.67%) HER2 positive patients between 50 and 59 years old, and 3 (8.6%) HER2 positive patients under 50 years old, with no statistical significance (P >.05). In cTNM stages, HER2 was positive in 7 patients (5.65%) in stage Ⅰ, 16 patients (10.32%) in stage Ⅱ, 14 patients (10.61%) in stage Ⅲ, and 1 patient (20%) in stage Ⅳ, with no statistical difference between groups (P >.05). The positive rate of tubular adenocarcinoma HER2 in WHO classification was 10.5%. Other tissue types were 0%, there were differences (P <.05); The positive rate of HER2 in well-differentiated adenocarcinoma was 10.84%, in moderately differentiated adenocarcinoma 16.44%, and in poorly differentiated adenocarcinoma 8.25%, with a difference between moderately and poorly differentiated adenocarcinoma (P <.05). The positive rate of HER2 in T3 infiltration depth was 15.97% higher than that in T1/T2/T4 (P <.05). The positive rate of HER2 in cardiac/fundus was 16.26% higher than that in other sites (P <.05). The proportion of patients with intestinal stype gastric cancer was the largest in Lauren classification (59.13%), but the HER2 positive rate of mixed type was significantly higher than that of other Lauren classification (P <.001). Patients with lymph node metastasis (13%) were significantly higher than those without lymph node metastasis (4.66%), and the difference was statistically significant (P <.01). The research data indicate that correlation between the expression of HER2 in areas with a high incidence of gastric cancer and the pathological characteristics.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2026-02-13
DOI
https://doi.org/10.1097/md.0000000000047517
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pathological characteristics and HER2 status of gastric cancer in Chinese high-incidence area

Jinxia Gao, Liuxue Ma, Peng Zhang, Huijuan Wang et al.
Medicine
Gastric Cancer Management and Outcomes
article

Pathological characteristics and HER2 status of gastric cancer in Chinese high-incidence area

Jinxia Gao, Liuxue Ma, Peng Zhang, Huijuan Wang, Zhichuan Chen, Xingbing Li, Wenqing Yan, Xiaoyun Wu
article en

Abstract

A retrospective analysis was conducted on the positive rate of HER2 in gastric cancer in the Chinese high-incidence area of Wuwei from 2015 to 2024. The pathological characteristics of HER2-positive gastric cancer were explored to provide a basis for precise diagnosis and treatment in high-incidence areas of gastric cancer. A retrospective study design was adopted to collect and analysis the HER2 expression status of gastric cancer surgical specimens from 2015 to 2024. A total of 416 gastric cancer surgical specimens were collected for HER2 detection, and the positive rate of HER2 was 9.13% (38/416), including 33 males (9.68%) and 5 females (6.67%), with no statistical significance (P >.05). There were 24 (8.63%) HER2 positive patients over 60 years old, 11 (10.67%) HER2 positive patients between 50 and 59 years old, and 3 (8.6%) HER2 positive patients under 50 years old, with no statistical significance (P >.05). In cTNM stages, HER2 was positive in 7 patients (5.65%) in stage Ⅰ, 16 patients (10.32%) in stage Ⅱ, 14 patients (10.61%) in stage Ⅲ, and 1 patient (20%) in stage Ⅳ, with no statistical difference between groups (P >.05). The positive rate of tubular adenocarcinoma HER2 in WHO classification was 10.5%. Other tissue types were 0%, there were differences (P <.05); The positive rate of HER2 in well-differentiated adenocarcinoma was 10.84%, in moderately differentiated adenocarcinoma 16.44%, and in poorly differentiated adenocarcinoma 8.25%, with a difference between moderately and poorly differentiated adenocarcinoma (P <.05). The positive rate of HER2 in T3 infiltration depth was 15.97% higher than that in T1/T2/T4 (P <.05). The positive rate of HER2 in cardiac/fundus was 16.26% higher than that in other sites (P <.05). The proportion of patients with intestinal stype gastric cancer was the largest in Lauren classification (59.13%), but the HER2 positive rate of mixed type was significantly higher than that of other Lauren classification (P <.001). Patients with lymph node metastasis (13%) were significantly higher than those without lymph node metastasis (4.66%), and the difference was statistically significant (P <.01). The research data indicate that correlation between the expression of HER2 in areas with a high incidence of gastric cancer and the pathological characteristics.

MedicineVol. 105(7)
Huawei Technologies (China) (CN), Shanghai Liangyou (China) (CN), Gansu Provincial Center for Disease Control and Prevention (CN)
Good health and well-being
Openalex Percentile: Top 57%
Gastric Cancer Management and Outcomes
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.