Clinical Trials Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Sep 24, 2024; 15(9): 1177-1187
Published online Sep 24, 2024. doi: 10.5306/wjco.v15.i9.1177
Systematic treatment in gastric cancer patients with overt bleeding: A propensity score matching analysis
Yan-Hong Yao, Yu Xiao, Zhen-Tao Liu, Jin-Yu Yu, Qian Li, Bao-Shan Cao, Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing 100191, China
Yan-Hong Yao, Bao-Shan Cao, Department of Cancer Center, Peking University Third Hospital, Beijing 100191, China
Hua Zhang, Yan-Yan Shi, Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China
ORCID number: Yan-Hong Yao (0000-0003-0499-5554); Yan-Yan Shi (0000-0003-0247-371X); Bao-Shan Cao (0000-0001-7939-4820).
Author contributions: Cao BS and Yao YH conceived and designed the study; Yao YH, Liu ZT, Yu JY, Xiao Y and Li Q performed data collection; Yao YH and Zhang H performed statistical analysis; All the authors contributed to the data interpretation; Yao YH written the first draft of the manuscript; All the authors revised and edited the final manuscript.
Institutional review board statement: This study was approved by the Peking University Third Hospital Medical Science Research Ethics Committee (IRB00006761-M2023544).
Clinical trial registration statement: The study has been registered in clinicaltrials.gov. The registration identification number is NCT06522542.
Informed consent statement: A waiver of informed consent was granted by the Ethics Committee.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Data sharing statement: The datasets analyzed during the study are available from the corresponding author on reasonable request.
CONSORT 2010 statement: The authors have read the CONSORT 2010 statement, and the manuscript was prepared and revised according to the CONSORT 2010 statement.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bao-Shan Cao, MD, Chief Physician, Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing 100191, China. caobaoshan0711@aliyun.com
Received: March 22, 2024
Revised: July 12, 2024
Accepted: July 31, 2024
Published online: September 24, 2024
Processing time: 160 Days and 5 Hours

Abstract
BACKGROUND

Hemorrhage, which is not a rare complication in patients with gastric cancer (GC)/gastroesophageal junction cancer (GEJC), can lead to a poor prognosis. However, no study has examined the effectiveness and safety of chemotherapy as an initial therapy for GC/GEJC patients with overt bleeding (OB).

AIM

To investigate the impact of OB on the survival and treatment-related adverse events (TRAEs) of GC/GEJC patients.

METHODS

Patients with advanced or metastatic GC/GEJC who received systematic treatment at Peking University Third Hospital were enrolled in this study. Propensity score matching (PSM) analysis was performed.

RESULTS

After 1:2 PSM analysis, 93 patients were assessed, including 32 patients with OB before treatment (OBBT) and 61 patients without OBBT. The disease control rate was 90.6% in the group with OBBT and 88.5% in the group without OBBT, and this difference was not statistically significant. There was no difference in the incidence of TRAEs between the group with OBBT and the group without OBBT. The median overall survival (mOS) was 15.2 months for patients with OBBT and 23.7 months for those without OBBT [hazard ratio (HR) = 1.101, 95% confidence interval (CI): 0.672-1.804, log rank P = 0.701]. The mOS was worse for patients with OB after treatment (OBAT) than for those without OBAT (11.4 months vs 23.7 months, HR = 1.787, 95%CI: 1.006-3.175, log rank P = 0.044).

CONCLUSION

The mOS for GC/GEJC patients with OBBT was similar to that for those without OBBT, but the mOS for patients with OBAT was worse than that for those without OBAT.

Key Words: Gastric cancer/gastroesophageal junction cancer; Overt bleeding; Risk factors; Systematic treatment; Overall survival

Core Tip: Overt bleeding (OB) is a dangerous condition in patients with advanced or metastatic gastric cancer (GC)/gastroesophageal junction cancer (GEJC). Are these patients at significant risk for systematic treatment? This study retrospectively assessed the survival and treatment-related adverse events (TRAEs) of GC/GEJC patients with OB. The median overall survival (mOS) of patients with OB before treatment (OBBT) was similar to that of patients without OBBT. Nevertheless, the mOS was worse for patients with OB after treatment (OBAT) than for those without OBAT. The incidence of grade 3-4 TRAEs between the groups with OBBT and without OBBT was similar.



INTRODUCTION

Gastric cancer (GC) was the fifth most common cancer and ranked fourth in terms of cancer mortality worldwide in 2020[1]. Hemorrhage, which is not a rare complication of GC/gastroesophageal junction cancer (GEJC), affects approximately 15% of patients with GC/GEJC[2]. Bleeding not only reduces the quality of life of GC/GEJC patients but also leads to a poor prognosis, and such bleeding can affect anticancer treatment and may even be life-threatening if it fails to stop in a timely manner[3,4].

The risk factors for bleeding in patients with GC/GEJC vary and include age, smoking history, chronic disease and so on[2,5,6]. Radical gastrectomy is ideal for early-stage GC/GEJC with overt bleeding (OB)[7], but there is rarely a curable chance for patients with advanced or metastatic GC/GEJC[8]. Successful hemostasis via endoscopic therapy strategies is achieved in 67%-100% of GC patients with OB. However, the rebleeding rate is high, ranging from 16% to 80%, and the median overall survival (mOS) is poor, ranging from 1.0 to 6.5 months[3,9,10]. Endoscopic hemostasis is prone to failure for bleeding lesions larger than 2 cm[11]. The success rate of hemostasis by transcatheter embolotherapy in GC patients with bleeding is 40%-100%. The rebleeding rate is 16%-41%, and the mOS is no more than three months for unresectable disease[10,11]. Prior studies have reported that the rate of successful hemostasis by palliative radiotherapy ranges from 50% to 80%. The response duration and the mOS are 0.9-3.7 months and 2.1-5.3 months, respectively, for unresectable GC[10,12,13]. Above all, the rebleeding rate is high, and survival is poor after local hemostasis therapy for unresectable GC with bleeding. Systematic therapy is the preferred treatment strategy for advanced or metastatic GC/GEJC. However, there are no reports about the efficacy and safety of chemotherapy as an initial therapy for GC/GEJC patients with OB.

This retrospective study aimed to investigate the impact of OB on treatment-related adverse events (TRAEs) in GC/GEJC patients receiving systematic anticancer treatment, evaluate the risk factors for OB after treatment (OBAT), and assess the influence of OB before treatment (OBBT) and OBAT on OS.

MATERIALS AND METHODS
Data sources and study patients

We retrospectively enrolled patients who were diagnosed with advanced or metastatic GC/GEJC from January 1, 2013 to December 31, 2021, at the Department of Medical Oncology and Radiation Sickness of Peking University Third Hospital. The patient eligibility criteria were as follows: (1) Were older than 18 years; (2) Had a histologically confirmed diagnosis of advanced or metastatic GC/GEJC; (3) Received systematic therapy as initial anticancer treatment, including chemotherapy, targeted therapy or immune checkpoint inhibitor (ICI); and (4) Had no history of gastrectomy before systematic therapy. The exclusion criteria were as follows: (1) Had incomplete clinical data; and (2) Diagnosed as Siewert type I esophageal cancer.

The patients’ information collected from the database was as follows: Age, sex, height, weight, Eastern Corporative Oncology Group Performance Status (ECOG-PS), chronic disease status, drinking history, smoking history, primary tumor location, clinical stage according to the 8th edition of the American Joint Committee on Cancer (AJCC) cancer staging manual, OB status, therapeutic strategy, best response to treatment, TRAEs and so on.

Assessments and outcomes

The diagnosis of OB was that the following conditions occurred within one month before the first dose of systematic treatment: (1) Melena, hematemesis or hematochezia caused by a gastric lesion; or (2) Gastric hemorrhage confirmed by endoscopy. This study only analyzed the impact of gastric OB (not including occult bleeding) on patients. The radiographic best response to treatment was assessed by clinicians as complete response (CR), partial response (PR), stable disease (SD), no CR or no progressive disease (PD), or PD on the basis of response evaluation criteria in solid tumors 1.1. The objective response rate (ORR) was defined as the proportion of patients with the best response CR or PR. The disease control rate (DCR) was defined as the proportion of patients whose best response was CR, PR, no CR or no PD, or SD. Patients were followed up at regular intervals. The criterion for terminating follow-up was death for any reason. OS was defined as the time from the first cycle of systematic therapy to death from any cause. TRAEs were evaluated according to the National Cancer Institute Common Toxicity Criteria version 4.0.

Age, sex, smoking history, comorbidities, nutritional status, and lesion status are reported to be risk factors for gastric bleeding in patients with gastrointestinal cancer. Therefore, we analyzed the relationships between rebleeding and several of these factors, including age, sex, personal history, such as smoking history and drinking history, common chronic diseases, such as hypertension, coronary heart disease, cerebral infarction, diabetes, chronic renal failure, and chronic liver disease, indications of nutritional status such as weight loss, body mass index (BMI), and cancer stage. We had found that the ECOG-PS score was a significant predictor of therapy tolerance and efficacy in our daily work, so we analyzed the associations between the ECOG-PS score and OBAT. BMI was calculated by dividing the body weight in kilograms by the square of the height in meters and was divided into three levels according to the criteria of the Chinese obesity scale[14]: Less than 18.5, 18.5 to 23.9, and greater than 23.9. The proportion of weight loss was calculated by dividing the weight lost by the patient’s base body weight before weight loss. Weight loss was classified into two levels according to the cutoff point for the diagnostic criterion of cachexia[15]: Less than 5% and greater than 5%.

Statistical analysis

We used SPSS version 25.0 (International Business Machines, New York, NY, United States) to analyze the data and considered that differences to be statistically significant if the two-sided P values were less than 0.05. The classified variables were assessed by the χ2 test or Fisher’s exact test. A binary logistic regression model (entry method) was used to identify items independently associated with OBAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Survival curves were estimated via the Kaplan-Meier method with the log-rank test. Hazard ratios (HRs) and 95%CIs were calculated via the Cox proportional hazards model, and a check on the assumption of proportional risk was evaluated.

Propensity score matching analysis

Propensity score matching (PSM) analysis was performed between the group with OBBT and the group without OBBT to reduce the impact of bias. The propensity score model was estimated via a logistic regression model that adjusted for variables including sex, age, BMI, weight loss, smoking history, drinking history, chronic disease status, ECOG-PS score, primary tumor location, and cancer stage. PSM was performed via a 1:2 matching method and nearest-neighbour matching without replacement with a caliper width of 0.02. A standard mean difference of less than 0.2 after matching was set to indicate good balance.

RESULTS
Enrolled patients

From 560 patients with GC/GEJC from January 1, 2013 to December 31, 2021, 171 patients were enrolled in the study (Figure 1). The most common reason for exclusion was radical gastrectomy at an early stage. The characteristics of the included patients are listed in Table 1. Approximately three-quarters (129/171) of the patients were at stage IV, and the others were at stage III. Forty-one (24.0%) of the 171 included patients had OBBT. The patient characteristics in the group with OBBT and the group without OBBT were not balanced (Table 1). After a 1:2 PSM analysis, there were 32 patients in the group with OBBT and 61 patients without OBBT, for which the patient characteristics were well balanced (Table 2). The median follow-up period was 17.1 months in the group with OBBT and 25.2 months in the group without OBBT.

Figure 1
Figure 1 Flow diagram of selection of eligible patients. OBBT: Overt bleeding before treatment.
Table 1 Baseline characteristics of patients before propensity score matching, n (%).
Variables
Patients with OBBT (n = 41)
Patients without OBBT (n = 130)
P value
SMD
Gender
Male30 (73.2)94 (72.3)0.9140.019
Female11 (26.8)36 (27.7)
Age (range, years)65 (47-85)64 (29-83)0.0030.486
BMI (range, kg/m2)21.0 (15.2-27.2)22.0 (16.0-33.6)0.1530.259
Weight loss (range, %)8.3 (0-37.4)5.7 (0-26.0)0.0440.399
Smoking history
Yes15 (36.6)60 (46.2)0.2820.195
No26 (63.4)70 (53.8)
Drinking history
Yes7 (17.1)17 (13.1)0.5210.112
No34 (82.9)113 (86.9)
1Chronic disease
Yes16 (39.0)42 (32.3)0.4280.141
No25 (61.0)88 (67.7)
ECOG-PS
01 (2.5)5 (3.8)0.0100.473
132 (78.0)119 (91.5)
28 (19.5)6 (4.6)
Primary tumor location
Body15 (36.6)74 (56.9)0.0610.429
Pylorus13 (31.7)24 (18.5)
Cardia13 (31.7)32 (24.6)
Cancer stage (AJCC 8th)
Stage III9 (22.0)33 (25.4)0.6560.081
Stage IV32 (78.0)97 (74.6)
Table 2 Baseline characteristics of patients after propensity score matching, n (%).
Variables
Patients with OBBT (n = 32)
Patients without OBBT (n = 61)
P value
SMD
Gender
Male23 (71.9)39 (63.9)0.4400.171
Female9 (28.1)22 (36.1)
Age (range, years)64.5 (47-80)67 (29-81)0.6290.100
BMI (range, kg/m2)22.8 (15.9-27.2)21.8 (16.0-28.1)0.7570.066
Weight loss (range, %)7.5 (0-33.3)6.5 (0-23.80)0.6710.092
Smoking history
Yes12 (37.5)22 (36.1)0.8910.030
No20 (62.5)39 (63.9)
Drinking history
Yes5 (15.6)8 (13.1)0.9860.072
No27 (84.4)53 (86.9)
1Chronic disease
Yes13 (40.6)25 (41.0)0.9730.007
No19 (59.4)36 (59.0)
ECOG-PS
01 (3.1)2 (3.3)0.9430.076
129 (90.6)54 (88.5)
22 (6.3)5 (8.2)
Primary tumor location
Body12 (37.5)26 (42.6)0.8910.105
Pylorus9 (28.1)16 (26.2)
Cardia11 (34.4)19 (31.1)
Cancer stage (AJCC 8th)
Stage III6 (18.8)13 (21.3)0.7710.064
Stage IV26 (81.2)48 (78.7)
Response to systematic anticancer treatment and TRAEs

All the patients received systematic anticancer treatment, including a chemotriplet regimen (fluorouracil, platinum and taxane), a chemodoublet-based regimen (chemodoublet regimen plus/minus targeted therapy or ICI), and fluorouracil or ICI monotherapy. Among patients with OBBT, 75.0% (24/32) received a chemodoublet-based regimen, 18.8% (6/32) received a triplet regimen, and 6.3% (2/32) received fluorouracil or ICI monotherapy. In the group without OBBT, a chemotriplet regimen and a chemodoublet-based regimen were used in 49.2% (30/61) and 49.2% (30/61) of the patients, respectively (Table 3).

Table 3 Therapeutic regimen and best response in patients after propensity score matching, n (%).
Characteristics
Total (n = 93)Patients with OBBT (n = 32)Patients without OBBT (n = 61)
P value
Therapeutic regimen
Chemotriplet regimen36 (38.7)6 (18.8)30 (49.2)0.006
1Chemodoublet-based regimen54 (58.1)24 (75.0)30 (49.2)
2Monotherapy3 (3.2)2 (6.3)1 (1.6)
Radiographic best response
CR or PR21 (22.6)11 (34.4)10 (16.4)0.157
SD/no CR or no PR62 (66.7)18 (56.2)44 (72.1)
PD7 (7.5)3 (9.4)4 (6.6)
NA3 (3.2)03 (4.9)
Radical surgery after systematic treatment
Yes14 (15.1)5 (15.6)9 (14.8)0.911
No79 (84.9)27 (84.4)52 (85.2)

In this study, the ORR in the group with OBBT was greater than that in the group without OBBT [34.4% (11/32) vs 16.4% (10/61), P = 0.049]. The DCR was 90.6% in the group with OBBT and 88.5% in the group without OBBT, and this difference was not statistically significant. The rates of radical surgery after systematic therapy were 15.6% in the group with OBBT and 14.8% in the group without OBBT (Table 3).

The most common TRAEs were gastrointestinal disorders (nausea, vomiting, decreased appetite, constipation, and diarrhea) and hematological toxicity (leukopenia/neutropenia and thrombocytopenia). The incidence of all-grade and grade ≥ 3 TRAEs did not differ between the two groups (Table 4).

Table 4 Treatment-related adverse events (≥ 5%) in patients after propensity score matching, n (%).

Patients with OBBT (n = 32)
Patients without OBBT (n = 61)
Any grade
Grade ≥ 3
Any grade
Grade ≥ 3
Any TRAEs32 (100)13 (40.6)55 (90.2)23 (37.7)
Leukopenia/Neutropenia23 (71.9)5 (15.6)39 (64.0)13 (21.3)
Constipation18 (56.3)033 (54.1)0
Peripheral sensory neuropathy17 (53.1)1 (3.1)30 (49.2)3 (4.9)
Fatigue16 (50.0)030 (49.2)0
Decreased appetite14 (43.8)1 (3.1)29 (47.5)0
Thrombocytopenia13 (40.6)6 (18.8)16 (26.2)2 (3.3)
Nausea12 (37.5)1 (3.1)27 (44.3)4 (6.5)
Vomiting4 (12.5)2 (6.3)13 (21.3)4 (6.5)
Diarrhea4 (12.5)2 (6.3)14 (23.0)5 (8.2)
Infection3 (9.4)05 (8.2)0
Oral mucosal ulcer2 (6.3)06 (9.8)2 (3.3)
Febrile neutropenia1 (3.1)1 (3.1)6 (9.8)6 (9.8)
Liver injury1 (3.1)04 (6.5)1 (1.6)
Analysis of OBAT in GC/GEJC patients

In the matched population, 17.2% (16/93) of patients experienced OBAT, including ten patients with OBBT and six without OBBT. χ2 tests (Table 5) revealed that OBBT [62.5% (10/16) vs 28.6% (22/77), P = 0.009] was a risk factor for OBAT. After adjusting for factors whose P value was less than 0.25, including drinking history, chronic disease, primary tumor location, OBBT status, and radiographic best response to systematic therapy, logistic regression analysis revealed that drinking history (P = 0.027), tumors located in the body (P = 0.028), presence of OBBT (P = 0.006) and radiographic best response PD (P = 0.038) were independent, positive influencing factors for OBAT (Table 5).

Table 5 Analysis of factors related to overt bleeding after treatment, n (%).
Characteristics
χ2 test
Binary logistic analysis
Patients with OBAT (n = 16)
Patients without OBAT (n = 77)
P value
OR (95%CI)
P value
Gender
Male12 (75.0)50 (64.9)0.565
Female4 (25.0)27 (35.1)
Age (year)
< 657 (43.8)35 (45.5)0.901
≥ 659 (56.3)42 (54.5)
Smoking history
No12 (75.0)47 (61.0)0.396
Yes4 (25.0)30 (39.0)
Drinking history
No12 (75.0)68 (88.3)0.228Reference
Yes4 (25.0)9 (11.7)8.512 (1.279-56.655)0.027
1Chronic disease
No7 (43.8)48 (62.3)0.169Reference
Yes9 (56.3)29 (37.7)3.929 (0.974-15.855)0.055
ECOG-PS
0 or 114 (87.5)72 (93.5)0.346
22 (12.5)5 (6.5)
BMI (kg/m2)
≤ 18.42 (12.5)9 (11.7)0.668
18.5-23.98 (50.0)47 (61.0)
≥ 24.06 (37.5)21 (27.3)
Weight loss
< 5%8 (50.0)31 (40.3)0.472
≥ 5%8 (50.0)46 (59.7)
Primary tumor location
Pylorus2 (12.5)23 (29.9)0.168Reference
Body10 (62.5)28 (36.4)10.104 (1.287-79.302)0.028
Cardia4 (25.0)26 (33.8)1.773 (0.209-15.072)0.600
Cancer stage (AJCC 8th)
Stage III4 (25.0)15 (19.5)0.734
Stage IV12 (75.0)62 (80.5)
OBBT status
No6 (37.5)55 (71.4)0.009Reference
Yes10 (62.5)22 (28.6)7.015 (1.726-28.505)0.006
Therapeutic regimen
Chemotriplet regimen5 (31.3)31 (40.3)0.761
2Chemodouble- based regimen11 (68.8)43 (55.8)
3Monotherapy03 (3.9)
Grade 3/4 TRAEs
No10 (62.5)47 (61.0)0.913
Yes6 (37.5)30 (39.0)
Radiographic best response
CR or PR2 (12.5)19 (24.7)0.149Reference
SD/no CR or no PR10 (62.5)52 (67.5)2.763 (0.462-16.504)0.265
PD3 (18.8)4 (5.2)14.039 (1.158-170.260)0.038
NA1 (6.3)2 (2.6)32.043 (1.248-822.685)0.038
Survival analysis

As of June 20, 2024, 71 (76.3%) deaths had occurred, and four patients were lost to follow-up. The mOS was 15.2 months for patients with OBBT and 23.7 months for those without OBBT (HR = 1.101, 95%CI: 0.672-1.804, P = 0.701) (Figure 2A). The mOS was worse for the GC/GEJC patients with OBAT than for those without OBAT (11.4 months vs 23.7 months, P = 0.044) (Figure 2B), and the HR for death in the group with OBAT, as compared with the group without OBAT, was 1.787 (95%CI: 1.006-3.175).

Figure 2
Figure 2 Kaplan Meier curves of overall survival. A: Overall survival (OS) of gastric cancer (GC)/gastroesophageal junction cancer (GEJC) patients according to overt bleeding before treatment; B: OS of GC/GEJC patients according to overt bleeding after treatment. OBBT: Overt bleeding before treatment; OBAT: Overt bleeding after treatment; mOS: Median overall survival.
DISCUSSION

OB in patients with advanced or metastatic GC/GEJC patients is a severe and potentially dangerous event that may affect anticancer treatment. Although many studies have reported several treatment modalities for GC/GEJC with OB, the analysis of chemotherapy efficacy and long-term survival for the patients still needs to be met. Our study showed that the safety of chemotherapy for hemostatic GC/GEJC patients was similar to that of patients without OB. Controlled bleeding after chemotherapy did not affect survival in patients with OBBT, but bleeding or rebleeding after treatment decreased the survival.

Our research revealed that the occurrence of TRAEs was similar to that reported in previous studies[16,17], and the incidence of all grade and grade 3-4 TRAEs in the group with OBBT was not greater than that in the group without OBBT, which was better than expected. Most patients with OBBT received intravenous injection treatment with a chemodoublet regimen. For the chemodoublet regimen strategy, the incidence of Grade3-4 TRAEs was lower than that for the chemotriplet regimen strategy[18,19], and gastrointestinal TRAEs were milder for the injection regimen strategy than for the oral regimen[20]. Another reason may be that the dose of the regimen for some patients with OBBT was appropriately reduced by 10%-25%. The ORR in this study was poorer than that reported in previous clinical trials[16-19], because, in the current study, many patients could not be evaluated by the ORR because of the lack of target lesions.

The mOS of patients with OB in the present study was longer than that of patients who received hemostatic strategies such as endoscopic hemostasis, transcatheter embolotherapy, and radiotherapy in several other studies[3,4,10,21]. On the one hand, systematic therapy may be more effective than local therapy for advanced or metastatic GC/GEJC. On the other hand, this study enrolled patients receiving systematic therapy who were usually hemostatic or hemodynamically stable and had a better performance status.

Neoplasms usually result in bleeding from diffuse mucosal erosion or ulceration or from cancer invasion into underlying vessels of the stomach wall. The process can be exacerbated or accelerated by many risk factors. The current study revealed that drinking history was a risk factor for OBAT in GC/GEJC patients. Researchers have reported that alcohol consumption over a long period of time can stimulate the gastric mucosa, and increased the risk of GC[22-24]. In this study, most patients had stopped drinking upon the diagnosis of malignancy, and thus, they had not experienced acute alcohol damage to the gastric mucosa during anticancer treatment. Nevertheless, the chronic mucosal changes caused by long-term alcohol stimulation may exacerbate the occurrence of hemorrhage in GC patients with gastric mucosa lesions after chemotherapy.

Prior studies has shown that an ECOG-PS ≤ 1 was associated with better chemotherapy tolerance than an ECOG-PS = 2[25]. The ECOG-PS of most patients was 0 or 1 in this study, and only a few patients had an ECOG-PS = 2. However, the rate of ECOG-PS = 2 was significantly greater in the group with OBBT than in the group without OBBT (19.5% vs 4.6%, P = 0.010) before PSM. To reduce the bias of the ECOG-PS on TRAEs in this study, we added the ECOG-PS score as a matching variable in the PSM analysis. In this study, the rates of all grade AEs and grade ≥ 3 AEs were 93% (80/86) and 37.2% (32/86) in patients with ECOG-PS ≤ 1, and 100% (7/7) and 57.1% (4/7) in patients with ECOG-PS = 2, respectively, without statistical significance (P > 0.05).

The rebleeding rate was 31.3% (10/32) for patients with OBBT in the current study, similar to other studies[3,10]. The bleeding rate varied across different primary tumor locations in the study. A previous study reported similar phenomena[2]. The difference could be related to unequal erosion caused by the acidic medium of the stomach, which was different in each stomach part. Because all patients in this study were at AJCC stage III-IV (T3-T4 and N +), we did not analyze the relationships between the bleeding rate and the T, N or tumor stage categories.

The occurrence of OBAT in patients with OBBT was greater than that in patients without OBBT [31.3% (10/32) vs 9.8% (6/61), P = 0.009]. Although OBBT was a risk factor for OBAT, only 31.3% of patients with OBBT experienced OBAT, and most patients with OBBT achieved hemostasis after systematic therapy. This may explain why OBAT was associated with shorter survival, whereas OBBT did not affect the mOS.

There were several shortcomings in this study. First, it was retrospective, and there may have been omissions in data collection and selection bias. Second, the study was conducted at a single center and the sample size was small. Finally, the various regimens for the patients may have led to analytical bias with respect to TRAEs and survival. Ultimately, we look forward to conducting a prospective study in GC patients with OB to identify more effective treatments.

CONCLUSION

In conclusion, this study revealed that the mOS for GC/GEJC patients who received systematic treatment with OBBT was similar to that for those without OBBT, but the mOS for GC/GEJC patients with OBAT was worse than that for GC/GEJC patients without OBAT. The DCR and TRAEs were similar for patients with and without OBBT. Therefore, we should actively control bleeding and choose appropriate treatment plans for GC/GEJC patients with OBBT. It is also essential to prevent bleeding in GC/GEJC patients after systematic treatment in order to prolong their survival.

ACKNOWLEDGEMENTS

We thank the patients and their families, all the clinicians and nurses at the Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Oncology

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade D

Novelty: Grade B

Creativity or Innovation: Grade B

Scientific Significance: Grade B

P-Reviewer: Wang F S-Editor: Fan M L-Editor: A P-Editor: Zhao YQ

References
1.  Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71:209-249.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 50630]  [Cited by in F6Publishing: 50064]  [Article Influence: 16688.0]  [Reference Citation Analysis (122)]
2.  Minhem MA, Nakshabandi A, Mirza R, Alsamman MA, Mattar MC. Gastrointestinal hemorrhage in the setting of gastrointestinal cancer: Anatomical prevalence, predictors, and interventions. World J Gastrointest Endosc. 2021;13:391-406.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 7]  [Cited by in F6Publishing: 7]  [Article Influence: 2.3]  [Reference Citation Analysis (3)]
3.  Song IJ, Kim HJ, Lee JA, Park JC, Shin SK, Lee SK, Lee YC, Chung H. Clinical Outcomes of Endoscopic Hemostasis for Bleeding in Patients with Unresectable Advanced Gastric Cancer. J Gastric Cancer. 2017;17:374-383.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 10]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
4.  Takeda K, Sakayauchi T, Kubozono M, Katagiri Y, Umezawa R, Yamamoto T, Ishikawa Y, Takahashi N, Suzuki Y, Kishida K, Jingu K. Palliative radiotherapy for gastric cancer bleeding: a multi-institutional retrospective study. BMC Palliat Care. 2022;21:52.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 6]  [Reference Citation Analysis (0)]
5.  Bosch FTM, Mulder FI, Huisman MV, Zwicker JI, Di Nisio M, Carrier M, Segers A, Verhamme P, Middeldorp S, Weitz JI, Grosso MA, Duggal A, Büller HR, Wang TF, Garcia D, Kamphuisen PW, Raskob GE, van Es N. Risk factors for gastrointestinal bleeding in patients with gastrointestinal cancer using edoxaban. J Thromb Haemost. 2021;19:3008-3017.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 3]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
6.  Pucheanu X, Beuran M. Bleeding gastric cancer in young and elderly patients. J Med Life. 2015;8:356-360.  [PubMed]  [DOI]  [Cited in This Article: ]
7.  Wang L, Wang XA, Hao JQ, Zhang LN, Li ML, Wu XS, Weng H, Lv WJ, Zhang WJ, Chen L, Xiang HG, Lu JH, Liu YB, Dong P. Long-term outcomes after radical gastrectomy in gastric cancer patients with overt bleeding. World J Gastroenterol. 2015;21:13316-13324.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 6]  [Cited by in F6Publishing: 6]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
8.  Ajani JA, D'Amico TA, Bentrem DJ, Chao J, Cooke D, Corvera C, Das P, Enzinger PC, Enzler T, Fanta P, Farjah F, Gerdes H, Gibson MK, Hochwald S, Hofstetter WL, Ilson DH, Keswani RN, Kim S, Kleinberg LR, Klempner SJ, Lacy J, Ly QP, Matkowskyj KA, McNamara M, Mulcahy MF, Outlaw D, Park H, Perry KA, Pimiento J, Poultsides GA, Reznik S, Roses RE, Strong VE, Su S, Wang HL, Wiesner G, Willett CG, Yakoub D, Yoon H, McMillian N, Pluchino LA. Gastric Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2022;20:167-192.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 41]  [Cited by in F6Publishing: 607]  [Article Influence: 303.5]  [Reference Citation Analysis (0)]
9.  Kim YI, Choi IJ. Endoscopic management of tumor bleeding from inoperable gastric cancer. Clin Endosc. 2015;48:121-127.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 28]  [Cited by in F6Publishing: 38]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
10.  Kawabata H, Hitomi M, Motoi S. Management of Bleeding from Unresectable Gastric Cancer. Biomedicines. 2019;7.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 16]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
11.  Meehan T, Stecker MS, Kalva SP, Oklu R, Walker TG, Ganguli S. Outcomes of transcatheter arterial embolization for acute hemorrhage originating from gastric adenocarcinoma. J Vasc Interv Radiol. 2014;25:847-851.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 22]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
12.  Lee J, Byun HK, Koom WS, Lee YC, Seong J. Efficacy of radiotherapy for gastric bleeding associated with advanced gastric cancer. Radiat Oncol. 2021;16:161.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 13]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
13.  Tanaka O, Sugiyama A, Omatsu T, Tawada M, Makita C, Matsuo M. Hemostatic radiotherapy for inoperable gastric cancer: a pilot study. Br J Radiol. 2020;93:20190958.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 11]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
14.  Pan XF, Wang L, Pan A. Epidemiology and determinants of obesity in China. Lancet Diabetes Endocrinol. 2021;9:373-392.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 327]  [Cited by in F6Publishing: 628]  [Article Influence: 209.3]  [Reference Citation Analysis (0)]
15.  Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, Jatoi A, Loprinzi C, MacDonald N, Mantovani G, Davis M, Muscaritoli M, Ottery F, Radbruch L, Ravasco P, Walsh D, Wilcock A, Kaasa S, Baracos VE. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011;12:489-495.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2908]  [Cited by in F6Publishing: 3464]  [Article Influence: 266.5]  [Reference Citation Analysis (0)]
16.  Bang YJ, Van Cutsem E, Feyereislova A, Chung HC, Shen L, Sawaki A, Lordick F, Ohtsu A, Omuro Y, Satoh T, Aprile G, Kulikov E, Hill J, Lehle M, Rüschoff J, Kang YK; ToGA Trial Investigators. Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial. Lancet. 2010;376:687-697.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4615]  [Cited by in F6Publishing: 4964]  [Article Influence: 354.6]  [Reference Citation Analysis (1)]
17.  Janjigian YY, Shitara K, Moehler M, Garrido M, Salman P, Shen L, Wyrwicz L, Yamaguchi K, Skoczylas T, Campos Bragagnoli A, Liu T, Schenker M, Yanez P, Tehfe M, Kowalyszyn R, Karamouzis MV, Bruges R, Zander T, Pazo-Cid R, Hitre E, Feeney K, Cleary JM, Poulart V, Cullen D, Lei M, Xiao H, Kondo K, Li M, Ajani JA. First-line nivolumab plus chemotherapy versus chemotherapy alone for advanced gastric, gastro-oesophageal junction, and oesophageal adenocarcinoma (CheckMate 649): a randomised, open-label, phase 3 trial. Lancet. 2021;398:27-40.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1201]  [Cited by in F6Publishing: 1368]  [Article Influence: 456.0]  [Reference Citation Analysis (0)]
18.  Salehifar E, Avan R, Janbabaei G, Mousavi SK, Faramarzi F. Comparison the Incidence and Severity of Side Effects Profile Of FOLFOX and DCF Regimens in Gastric Cancer Patients. Iran J Pharm Res. 2019;18:1032-1039.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 3]  [Reference Citation Analysis (0)]
19.  Hacibekiroglu I, Kodaz H, Erdogan B, Turkmen E, Esenkaya A, Onal Y, Uzunoglu S, Cicin I. Comparative analysis of the efficacy and safety of modified FOLFOX-6 and DCF regimens as first-line treatment in advanced gastric cancer. Mol Clin Oncol. 2015;3:1160-1164.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 5]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
20.  Rothenberg ML, Cox JV, Butts C, Navarro M, Bang YJ, Goel R, Gollins S, Siu LL, Laguerre S, Cunningham D. Capecitabine plus oxaliplatin (XELOX) versus 5-fluorouracil/folinic acid plus oxaliplatin (FOLFOX-4) as second-line therapy in metastatic colorectal cancer: a randomized phase III noninferiority study. Ann Oncol. 2008;19:1720-1726.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 142]  [Cited by in F6Publishing: 154]  [Article Influence: 9.6]  [Reference Citation Analysis (0)]
21.  Hashimoto K, Mayahara H, Takashima A, Nakajima TE, Kato K, Hamaguchi T, Ito Y, Yamada Y, Kagami Y, Itami J, Shimada Y. Palliative radiation therapy for hemorrhage of unresectable gastric cancer: a single institute experience. J Cancer Res Clin Oncol. 2009;135:1117-1123.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 52]  [Cited by in F6Publishing: 41]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
22.  Laszkowska M, Rodriguez S, Kim J, Hur C. Heavy Alcohol Use Is Associated With Gastric Cancer: Analysis of the National Health and Nutrition Examination Survey From 1999 to 2010. Am J Gastroenterol. 2021;116:1083-1086.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 6]  [Cited by in F6Publishing: 6]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
23.  He Z, Zhao TT, Xu HM, Wang ZN, Xu YY, Song YX, Ni ZR, Xu H, Yin SC, Liu XY, Miao ZF. Association between alcohol consumption and the risk of gastric cancer: a meta-analysis of prospective cohort studies. Oncotarget. 2017;8:84459-84472.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 19]  [Cited by in F6Publishing: 25]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
24.  Han X, Xiao L, Yu Y, Chen Y, Shu HH. Alcohol consumption and gastric cancer risk: a meta-analysis of prospective cohort studies. Oncotarget. 2017;8:83237-83245.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 18]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
25.  Xu Y, Ding L, Zhang YQ. Predictors of chemotherapy tolerance and survival benefit in a geriatric patient population with advanced solid tumors. Indian J Cancer. 2021;58:583-589.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]