Literature DB >> 34878659

Pembrolizumab versus paclitaxel for previously treated advanced gastric or gastroesophageal junction cancer (KEYNOTE-063): A randomized, open-label, phase 3 trial in Asian patients.

Hyun Cheol Chung1, Yoon-Koo Kang2, Zhendong Chen3, Yuxian Bai4, Wan Zamaniah Wan Ishak5, Byoung Yong Shim6, Young Lee Park7, Dong-Hoe Koo8, Jianwei Lu9, Jianming Xu10, Hong Jae Chon11, Li-Yuan Bai12, Shan Zeng13, Ying Yuan14, Yen-Yang Chen15, Kangsheng Gu3, Wen Yan Zhong16, Shu Kuang17, Chie-Schin Shih18, Shu-Kui Qin19.   

Abstract

BACKGROUND: KEYNOTE-063 (NCT03019588) investigated pembrolizumab versus paclitaxel as second-line therapy in Asian patients with advanced programmed death ligand 1 (PD-L1)-positive (combined positive score ≥1) gastric/gastroesophageal junction (GEJ) cancer.
METHODS: This randomized, open-label, phase 3 study was conducted at 36 medical centers in China (mainland), Malaysia, South Korea, and Taiwan. Patients were randomly assigned 1:1 to 200 mg of pembrolizumab intravenously every 3 weeks for ≤2 years or 80 mg/m2 of paclitaxel intravenously every week. Primary end points were overall survival (OS) and progression-free survival (PFS). Secondary end points were objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors version 1.1 and safety.
RESULTS: Between February 16, 2017, and March 12, 2018, 94 patients were randomly assigned (47 pembrolizumab/47 paclitaxel) after screening; enrollment was stopped on March 12, 2018, based on the results of the global KEYNOTE-061 study, and patients were followed until the last patient's last visit. Median OS was 8 months (95% confidence interval [CI], 4-10 months) with pembrolizumab versus 8 months (95% CI, 5-11 months) with paclitaxel (hazard ratio [HR], 0.99; 95% CI, 0.63-1.54). Median PFS was 2 months (95% CI, 1-3 months) with pembrolizumab versus 4 months (95% CI, 3-6 months) with paclitaxel (HR, 1.62; 95% CI, 1.04-2.52). ORR was 13% for pembrolizumab versus 19% for paclitaxel. Any-grade treatment-related adverse events occurred in 28 pembrolizumab-treated patients (60%) and 42 paclitaxel-treated patients (96%); grades 3 to 5 events occurred in 5 patients (11%) and 28 patients (64%), respectively.
CONCLUSIONS: Definitive conclusions about the efficacy of second-line pembrolizumab in Asian patients with advanced PD-L1-positive gastric/GEJ cancer are limited because of insufficient power, but pembrolizumab was well tolerated in this patient population. Efficacy followed a trend similar to that observed in the phase 3 KEYNOTE-061 trial.
© 2021 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.

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Keywords:  Asia; chemotherapy; gastric cancer; gastroesophageal junction cancer; pembrolizumab; programmed death 1

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Year:  2021        PMID: 34878659      PMCID: PMC9299889          DOI: 10.1002/cncr.34019

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.921


Introduction

Gastric cancer, including gastroesophageal junction (GEJ) cancer, is the fifth most commonly diagnosed cancer worldwide, accounting for >1 million new cases and ~800,000 deaths in 2018. However, incidence and mortality vary geographically. Compared with other regions of the world, Eastern Asia has the highest incidence of gastric cancer. , Specifically, the age‐standardized incidence rate of gastric cancer per 100,000 people in East Asia is 32.1 for men and 13.2 for women, nearly twice the rate observed in the second highest region, East Europe (17.1 and 7.5, respectively). South Korea has the highest incidence of gastric cancer in East Asia, with age‐standardized incidence rates of 57.8 and 23.5 in men and women, respectively, followed by Mongolia (47.2 and 21.7), Japan (40.7 and 16.0), and China (29.5 and 12.3). The higher incidence of gastric cancer in East Asia may be attributable to the increased Helicobacter pylori infection rate, interleukin (IL) gene polymorphisms (IL‐17 and IL‐10), and diets rich in salt and pickled foods. Standard first‐line treatment recommendations for unresectable locally advanced recurrent or metastatic gastric cancer include fluoropyrimidine plus a platinum agent (recommended by the Chinese Society of Clinical Oncology, the National Comprehensive Cancer Network, and the Korean Gastric Cancer Association ) and S‐1 (tegafur, 5‐chloro‐2,4‐dihydroxypyridine, and potassium oxonate) or capecitabine in combination with cisplatin, as indicated by the Japanese Gastric Cancer Association. Recently reported data in the first‐line setting have demonstrated the efficacy and safety of the anti–programmed death 1 (PD‐1) monoclonal antibody nivolumab in combination with chemotherapy versus chemotherapy alone. Data from the global CheckMate‐649 study reported superior overall survival (OS) and progression‐free survival (PFS) in patients with advanced gastric cancer/GEJ cancer/esophageal adenocarcinoma with manageable safety; a survival advantage with nivolumab plus chemotherapy versus chemotherapy alone was observed in 606 patients with a programmed death ligand 1 (PD‐L1) combined positive score (CPS) ≥5 (median OS, 14.4 vs 11.1 months; hazard ratio [HR], 0.70) but not in 955 patients with CPS <5 (median OS, 12.4 vs 12.3 months; HR, 0.94). Data from the Asian ATTRACTION‐4 study showed improvement with nivolumab plus chemotherapy versus chemotherapy in PFS (median, 10.5 vs 8.3 months; HR, 0.68; [98.5% CI, 0.51‐0.90]) and objective response rate (ORR) (57.5% vs 47.8%), but not in OS (median, 17.5 vs 17.2 months; HR, 0.90; 95% CI, 0.75‐1.08), in patients with human epidermal growth factor receptor 2 (HER2)–negative advanced or recurrent gastric/GEJ cancer. Although second‐ and third‐line chemotherapies are commonly administered to patients with advanced or metastatic gastric cancer in Asia (up to 85% and 69% of patients, respectively), , , , , treatment options are limited, and patients are encouraged to participate in clinical studies. , Variations in geographic location have also been observed in survival rates of patients with advanced gastric cancer. OS is typically longer among Asian than non‐Asian patients. , , , For example, the 5‐year OS rate was 41% among Asian patients compared with 30% among Caucasian patients. Differences in tumor burden and location and use of postprogression chemotherapy have been suggested as underpinning ethnic differences in survival rates, , although data are conflicting. Pembrolizumab, another anti–PD‐1 monoclonal antibody, has demonstrated antitumor activity with a manageable safety profile in patients with gastric/GEJ cancer. Based on the results of the phase 2 KEYNOTE‐059 study, pembrolizumab was approved in the United States for the treatment of patients with recurrent locally advanced or metastatic gastric or GEJ adenocarcinoma whose tumors express PD‐L1 (CPS ≥1) who experience disease progression on or after ≥2 previous lines of therapy, including fluoropyrimidine‐ and platinum‐containing chemotherapy and, if appropriate, HER2/neu‐targeted therapy. However, in July 2021, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, voluntarily withdrew pembrolizumab in this treatment setting with a 6‐month delay, consistent with the recommendation from the Food and Drug Administration Oncologic Drugs Advisory Committee to ensure access to pembrolizumab for current patients who may not have received immunotherapy in earlier lines. Pembrolizumab is also approved in the United States for patients with unresectable or metastatic microsatellite instability–high or mismatch repair–deficient solid tumors or tumor mutational burden‐high (≥10 mut/Mb) solid tumors who experience disease progression after previous treatment and who have no satisfactory alternative treatment options. The efficacy of pembrolizumab versus paclitaxel in advanced PD‐L1–positive gastric/GEJ cancer that progressed after first‐line treatment was further investigated in the KEYNOTE‐061 and KEYNOTE‐063 phase 3 studies. In KEYNOTE‐061, in which 26% of enrolled patients were Asian (from Hong Kong, Israel, Japan, Malaysia, Russia, Singapore, South Korea, Taiwan, and Turkey), pembrolizumab did not significantly improve OS compared with paclitaxel. After 2 years of follow‐up, median OS was longer with pembrolizumab monotherapy (9.1 months) than with paclitaxel monotherapy (8.3 months) in patients with CPS ≥1 tumors (HR, 0.82; 95% CI, 0.66‐1.03; 1‐sided P = 0.0421). In a long‐term follow‐up analysis after 4 years of follow‐up, the OS benefit achieved with pembrolizumab was greater with increasing tumor PD‐L1 expression (HR, 0.81 [CPS ≥1]; 0.72, [CPS ≥5]; 0.69 [CPS ≥10]); similar trends were observed for ORR and duration of response (DOR). The safety profile of pembrolizumab continued to be favorable, with fewer treatment‐related adverse (AEs) reported in patients receiving pembrolizumab (53%) than paclitaxel (84%). An exploratory analysis from this study also demonstrated a strong association between tissue tumor mutational burden and clinical efficacy with second‐line pembrolizumab using whole exome sequencing or the FoundationOne®CDx (Foundation Medicine). , One potential limitation of KEYNOTE‐061 was that the comparison arm received paclitaxel alone when paclitaxel plus ramucirumab had shown superior OS compared with paclitaxel, although these data were not available at the initiation of the study; paclitaxel plus ramucirumab is now one of many standard‐of‐care second‐line therapies available for Asian patients with advanced gastric cancer whose disease has progressed on first‐line chemotherapy. Here, we present results of the phase 3 KEYNOTE‐063 study of pembrolizumab versus paclitaxel as second‐line therapy in Asian patients with advanced PD‐L1–positive (CPS ≥1) gastric/GEJ cancer.

Materials and Methods

Study Design and Patients

KEYNOTE‐063 was a randomized, open‐label, phase 3 study conducted at 36 medical centers across 4 countries in Asia (China, Malaysia, South Korea, and Taiwan). Eligible patients were men and women aged ≥18 years with histologically or cytologically confirmed diagnoses of locally advanced unresectable or metastatic PD‐L1–positive (CPS ≥1) gastric or GEJ adenocarcinoma. Patients must also have had Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST v1.1)–measurable disease, Eastern Cooperative Oncology Group performance status (ECOG PS) 0 or 1, documented disease progression during or after first‐line therapy containing any platinum/fluoropyrimidine doublet chemotherapy, and a tumor sample for PD‐L1 assessment. Patients with HER2‐negative tumors were eligible; those with HER2‐positive tumors had to have documentation of disease progression on treatment containing trastuzumab, and those with unknown tumor status had to have their HER2 status determined locally. The study protocol and all amendments were approved by the institutional review board or ethics committee at each institution. The study was conducted in accordance with the protocol and its amendments, the Declaration of Helsinki, the International Conference on Harmonisation Guidelines for Good Clinical Practice, and local and national regulations. All patients provided written informed consent.

Randomization

Patients were randomly assigned 1:1 to receive 200 mg of pembrolizumab intravenously every 3 weeks or 80 mg/m2 of paclitaxel intravenously on days 1, 8, and 15 of each 4‐week cycle. Patients were stratified by time to progression on first‐line therapy (<6 vs ≥6 months) and ECOG PS (0 vs 1). Treatment continued for 35 cycles (~2 years; pembrolizumab only) or until disease progression, intolerable toxicity, investigator decision, or patient withdrawal of consent.

Procedures

Tumor response was assessed every 6 weeks according to RECIST v1.1 by blinded central radiology review. AEs were evaluated throughout treatment and for 30 days after treatment discontinuation (90 days for serious AEs) and were graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 4.0. PD‐L1 expression was centrally assessed during screening using PD‐L1 IHC 22C3 pharmDx (Agilent). PD‐L1 expression was reported as CPS, defined as the number of PD‐L1–staining cells (tumor cells, macrophages, and lymphocytes) divided by the total number of viable tumor cells, multiplied by 100. PD‐L1–positive tumors were defined as CPS ≥1.

Outcomes

Dual primary end points were OS, defined as time from randomization to death from any cause, and PFS per RECIST v1.1, defined as time from randomization to the first documented disease progression or death from any cause, whichever occurred first. Secondary end points were ORR per RECIST v1.1, defined as the proportion of patients who experienced complete or partial response, and safety and tolerability. DOR per RECIST v1.1, defined as the time from first documented complete or partial response to disease progression or death from any cause, was investigated as an exploratory end point.

Statistical Analysis

Efficacy was assessed in the intention‐to‐treat (ITT) population, which comprised all patients who were randomly assigned to treatment. OS, PFS, and DOR were analyzed using Kaplan‐Meier estimates; a stratified Cox proportional hazards model with the Efron method for handling ties was used to estimate HRs and associated 95% CIs. ORR was analyzed using the stratified Miettinen and Nurminen method to detect between‐group differences. Safety was assessed in the as‐treated population, which comprised all patients who received ≥1 dose of study treatment. This study planned to enroll 360 patients; the timing of the final analysis was event driven. After 290 OS events had been observed, the study was expected to have ~91% power to demonstrate the superiority of pembrolizumab compared with paclitaxel in this setting at a 1‐sided α of 0.0215 if the underlying HR for OS was 0.67. However, because of early termination of the study, statistical power is lacking for the current analysis, which used a database cutoff date of October 8, 2019. This trial is registered with ClinicalTrials.gov (NCT03019588).

Results

After the KEYNOTE‐063 study began, results of the global KEYNOTE‐061 study (NCT02370498) showed that pembrolizumab did not significantly prolong OS compared with paclitaxel in patients previously treated for advanced gastric cancer. As a result, screening and enrollment was terminated for the KEYNOTE‐063 study on March 12, 2018. The study ended on June 21, 2021, after the last patient's last visit. Between February 6, 2017, and March 12, 2018, 94 patients had been randomly assigned to pembrolizumab (n = 47) or paclitaxel (n = 47) (Fig. 1). As of October 8, 2019, the median time from randomization to data cutoff was 24 months (range, 19‐31). One of 47 patients (2%) in the pembrolizumab group completed all 35 cycles of treatment. No patients remained on paclitaxel, whereas 2 patients (4%) in the pembrolizumab group remained on pembrolizumab. Most patients discontinued treatment because of progressive disease (n = 64; 70%) (Fig. 1). Overall, 50 patients (53%) went on to receive third‐line therapy.
Figure 1

Patient disposition.

aIntended enrollment for KEYNOTE‐063 was 360 but was halted at 94 because pembrolizumab did not significantly prolong overall survival over paclitaxel in the KEYNOTE‐061 study (NCT02370498).

bThere was no maximum number of doses of paclitaxel. ITT indicates intention‐to‐treat.

Patient disposition. aIntended enrollment for KEYNOTE‐063 was 360 but was halted at 94 because pembrolizumab did not significantly prolong overall survival over paclitaxel in the KEYNOTE‐061 study (NCT02370498). bThere was no maximum number of doses of paclitaxel. ITT indicates intention‐to‐treat. Baseline demographics and disease characteristics were generally well balanced between treatment groups (Table 1). Median age was 61 years in both treatment groups, and most patients were men (73%) and had ECOG PS 1 (72%). Most patients were enrolled at centers in China (n = 44; 47%) and South Korea (n = 38; 40%). Overall, 60 patients (64%) experienced disease progression within 6 months of treatment with first‐line therapy.
TABLE 1

Baseline Characteristics

Characteristic, No. (%)Pembrolizumab (n = 47)Paclitaxel (n = 47)
Age, median (range), y61 (32‐75)61 (37‐91)
Male32 (68)37 (79)
ECOG PS
014 (30)12 (26)
133 (70)35 (74)
Country
China23 (49)21 (45)
Malaysia2 (4)2 (4)
South Korea20 (43)18 (38)
Taiwan2 (4)6 (13)
TTP on first‐line therapy
≥6 months17 (36)17 (36)
<6 months30 (64)30 (64)
Primary location at diagnosis
GEJ6 (13)3 (6)
Stomach41 (87)44 (94)
Metastatic disease47 (100)46 (98)
Number of metastatic sites
0‐2 sites23 (49)23 (49)
≥3 sites24 (51)24 (51)
Previous surgery for gastric cancer24 (51)22 (47)
Gastric ulceration
Yes8 (17)11 (23)
No26 (55)18 (38)
Unknown13 (28)18 (38)
Histology
Adenocarcinoma46 (98)46 (98)
Mucinous carcinoma1 (2)1 (2)

Abbreviations: ECOG PS, Eastern Cooperative Oncology Group performance status; GEJ, gastroesophageal junction; TTP, time to progression.

Baseline Characteristics Abbreviations: ECOG PS, Eastern Cooperative Oncology Group performance status; GEJ, gastroesophageal junction; TTP, time to progression. Twenty‐four of 47 patients (51%) in the pembrolizumab group and 26 of 47 patients (55%) in the paclitaxel group received subsequent therapy; 2 of 47 patients (4%) and 7 of 47 patients (15%), respectively, received subsequent immunotherapy. At the time of data cutoff, 83 patients had died (41 of 47 patients [87%] in the pembrolizumab group and 42 of 47 patients [89%] in the paclitaxel group). Median OS was 8 months (95% CI, 4‐10) in the pembrolizumab group and 8 months (95% CI, 5‐11) in the paclitaxel group (HR, 0.99; 95% CI, 0.63‐1.54) (Fig. 2). Eighty‐eight patients experienced disease progression or died (45 of 47 patients [96%] in the pembrolizumab group and 43 of 47 patients [92%] in the paclitaxel group). Median PFS was 2 months (95% CI, 1‐3) in the pembrolizumab group and 4 months (95% CI, 3‐6) in the paclitaxel group (HR, 1.62; 95% CI, 1.04‐2.52) (Fig. 3).
Figure 2

Kaplan‐Meier estimates of overall survival.

Figure 3

Kaplan‐Meier estimates of progression‐free survival.

Kaplan‐Meier estimates of overall survival. Kaplan‐Meier estimates of progression‐free survival. Confirmed responses were observed in 6 of 47 patients in the pembrolizumab group (ORR, 13%) and 9 of 47 patients in the paclitaxel group (ORR, 19%); complete response was observed in 2 of 47 patients (4%) in the pembrolizumab group and 3 of 47 patients (6%) in the paclitaxel group (Table 2). Median DOR was 8 months (range, 3‐20+) in the pembrolizumab group and 12 months (range, 2‐17+) in the paclitaxel group (Fig. 4; Table 2). Notably, 4 patients in each treatment group had responses lasting ≥6 months. Response duration with paclitaxel by patient, including country of enrollment, is shown in Supporting Table 1.
TABLE 2

Summary of BICR‐Confirmed Responses

Response, No. (%)Pembrolizumab (n = 47)Paclitaxel (n = 47)
Objective response6 (13)9 (19)
Complete response2 (4)3 (6)
Partial response4 (9)6 (13)
Stable disease a 10 (21)15 (32)
Disease control rate b 16 (34)24 (51)
Progressive disease25 (53)12 (26)
Not available c 6 (13)11 (23)
Time to response, median (range), mo3 (1‐3)1 (1‐4)
Duration of response, median (range), mo d 8 (3‐20+)12 (2‐17+)

Abbreviation: BICR, blinded independent central review.

Included patients with stable disease and patients with noncomplete response/nonprogressive disease.

Disease control rate defined as proportion of patients with complete response, partial response, or stable disease.

Patients with no postbaseline assessment available for response evaluation or patients who were not evaluable.

“+” indicates there was no progressive disease at the time of last disease assessment.

Figure 4

Kaplan‐Meier estimates of duration of response.

Summary of BICR‐Confirmed Responses Abbreviation: BICR, blinded independent central review. Included patients with stable disease and patients with noncomplete response/nonprogressive disease. Disease control rate defined as proportion of patients with complete response, partial response, or stable disease. Patients with no postbaseline assessment available for response evaluation or patients who were not evaluable. “+” indicates there was no progressive disease at the time of last disease assessment. Kaplan‐Meier estimates of duration of response. AEs attributed by the investigator to study treatment (treatment‐related AEs) occurred in 28 of 47 pembrolizumab‐treated patients (60%) and 42 of 44 paclitaxel‐treated patients (96%) (Table 3). Grades 3 to 5 treatment‐related AEs occurred in 5 of 47 pembrolizumab‐treated patients (11%) and 28 of 44 paclitaxel‐treated patients (64%). The most common any‐grade treatment‐related AEs (incidence >10%) were fatigue (13%) and hypothyroidism (11%) in the pembrolizumab group and alopecia (48%), decreased neutrophil count (39%), decreased white blood cell count (30%), decreased appetite (25%), anemia (18%), asthenia (14%), neutropenia (14%), fatigue (11%), nausea (11%), increased aspartate aminotransferase (11%), and peripheral neuropathy (11%) in the paclitaxel group (Table 3). Treatment‐related AEs led to discontinuation in 1 of 47 pembrolizumab‐treated patients (2%) (pneumonitis) and 6 of 44 paclitaxel‐treated patients (14%) (2 cases each of herpes zoster and pneumonia, 1 case each of asthenia and peripheral sensory neuropathy). No pembrolizumab‐treated patients (0%) but 2 of 44 paclitaxel‐treated patients (5%) had a treatment‐related AE (treatment‐related pneumonia in each) that resulted in death.
TABLE 3

Adverse Event Summary

AE, No. (%)Pembrolizumab (n = 47)Paclitaxel (n = 44)
Any46 (98)43 (98)
Treatment‐related AE28 (60)42 (96)
Grades 3‐55 (11)28 (64)
Led to discontinuation1 (2)6 (14)
Led to death a 02 (5)
Treatment‐related AEs occurring in ≥10% of patients in either group
Fatigue6 (13)5 (11)
Hypothyroidism5 (11)0
Nausea2 (4)5 (11)
Alopecia1 (2)21 (48)
Anemia1 (2)8 (18)
Decreased appetite1 (2)11 (25)
Neutrophil count decreased1 (2)17 (39)
White blood cell count decreased1 (2)13 (30)
Aspartate aminotransferase increased05 (11)
Asthenia06 (14)
Peripheral neuropathy05 (11)
Neutropenia06 (14)

Abbreviation: AE, adverse event.

Two paclitaxel‐treated patients died of treatment‐related pneumonia.

Adverse Event Summary Abbreviation: AE, adverse event. Two paclitaxel‐treated patients died of treatment‐related pneumonia. Immune‐mediated AEs and infusion reactions occurred in 9 of 47 pembrolizumab‐treated patients (19%) and 5 of 44 paclitaxel‐treated patients (11%). Among pembrolizumab‐treated patients, the observed immune‐mediated AEs were hypothyroidism (n = 5; 11%), hyperthyroidism (n = 3; 6%), and adrenal insufficiency, drug hypersensitivity, pneumonitis, and thyroiditis (n = 1 each; 2%).

Discussion

There is an unmet need for second‐line treatment options in Asian patients with advanced or metastatic PD‐L1–positive gastric/GEJ cancer. Second‐line immunotherapy studies in Asian patients with gastric/GEJ cancer are limited, but recent data suggest immunotherapy may provide survival benefits for patients with advanced or metastatic gastric cancer compared with best supportive care. Given that pembrolizumab did not significantly prolong OS compared with paclitaxel in patients participating in the global phase 3 KEYNOTE‐061 study; however, KEYNOTE‐063 enrollment was discontinued after 94 patients. Consequently, the current analysis from KEYNOTE‐063 was underpowered for the planned comparison between treatment groups, limiting interpretation of the outcomes, but it can provide important insights into this patient population. In general, baseline characteristics were consistent between Asian patients with PD‐L1 CPS ≥1 in the current study and in the global population of KEYNOTE‐061 with PD‐L1 CPS ≥1 (Supporting Table 2). However, Asian patients in the current study had marginally worse functional status than the global KEYNOTE‐061 population (72% vs 54%, respectively, had ECOG PS 1) and higher rates of stomach as the primary location at diagnosis (90% vs 66%), adenocarcinoma histology (98% vs 80%), and previous surgery for gastric cancer (49% vs 35%), which might have influenced treatment outcomes (Supporting Table 2). In the limited KEYNOTE‐063 patient population, pembrolizumab did not numerically improve clinical outcomes compared with paclitaxel in Asian patients with advanced PD‐L1–positive gastric cancer. Although cross‐study comparisons should be interpreted with caution, efficacy and safety findings were consistent with the larger global KEYNOTE‐061 study in patients with PD‐L1 CPS ≥1 (Supporting Table 3). Interestingly, DOR in pembrolizumab‐treated patients was relatively shorter in KEYNOTE‐063 than in KEYNOTE‐061 (median, 8 vs 18 months) but increased in paclitaxel‐treated patients (median, 12 vs 5 months, respectively). In the phase 3 RAINBOW study of ramucirumab plus paclitaxel versus placebo plus paclitaxel in patients with previously treated gastric/GEJ adenocarcinoma, the median OS with paclitaxel in patients enrolled in Japan, South Korea, Hong Kong, Singapore, and Taiwan was better than in other regions (11 vs 6 months). Similarly, the Asian subgroup analysis for OS from KEYNOTE‐061 demonstrated an HR for death of 0.90 (95% CI, 0.59‐1.38) compared with other regions (HR, 0.81; 95% CI, 0.61‐1.06), indicating better performance with paclitaxel in Asian patients. Taken together, when planning a treatment strategy for Asian patients with advanced gastric cancer, continuum of care should be taken into account, with appropriate timing of immunotherapy and safe and effective use of cytotoxic chemotherapy. In KEYNOTE‐063, pembrolizumab was well tolerated and led to comparatively fewer treatment‐related AEs than paclitaxel. The safety profiles of both treatment groups were consistent with what has been reported in the literature, and no new safety concerns were observed. This study is limited by its early termination, which resulted in a smaller than planned sample size of Asian patients with advanced PD‐L1–positive gastric/GEJ cancer; hence, definitive conclusions cannot be drawn. Additionally, microsatellite instability status was not tested. Further studies are needed to establish which patients are most likely to benefit from pembrolizumab immunotherapy. Another limitation is that the comparison arm received paclitaxel alone when paclitaxel plus ramucirumab is currently one of the standard‐of‐care therapies available for patients with advanced gastric cancer whose disease progressed on chemotherapy; this therapy option was not available at the initiation of KEYNOTE‐063. In Asian patients with advanced PD‐L1–positive gastric/GEJ cancer, efficacy data should be viewed with caution and definitive conclusions are limited; however, second‐line pembrolizumab monotherapy was well tolerated in this patient population. As immune checkpoint inhibitors are increasingly becoming part of the first‐line treatment in combination with chemotherapy in advanced gastric/GEJ cancer, further evaluation of their role in second‐line treatment is needed.

Funding Support

Funding for this study was provided by Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey.

Conflict of Interest Disclosures

Hyun Cheol Chung reports grants (for research to institution) from Amgen, Bristol‐Myers Squibb/Ono, Eli Lilly, GSK, Incyte, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, Merck‐Serono, Taiho, and Zymework; honoraria from Eli Lilly and Merck‐Serono; and consultancy fees from Amgen, BeiGene, Bristol‐Myers Squibb, Celltrion, Eli Lilly, Gloria, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, Merck‐Serono, Quintiles, Taiho, and Zymeworks. Yoon‐Koo Kang reports advisory fees from ALX Oncology, Amgen, Bristol‐Myers Squibb, Daehwa, Macrogenics, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, Novartis, Surface Oncology, and Zymeworks. Wan Zamaniah Wan Ishak reports honoraria for lectures from Amgen Malaysia, DKSH Malaysia, Eisai Malaysia, Eli Lilly Malaysia, Ipsen Malaysia, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, Merck Serono Malaysia, Pfizer Malaysia, and Roche Malaysia; travel grants from Amgen Malaysia, Celgene Malaysia, Eisai Malaysia, Eli Lilly Malaysia, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, and Roche Malaysia; and is an advisory board member for Celgene Malaysia, Eli Lilly Malaysia, Eisai Malaysia, and Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey. Wen Yan Zhong is an employee of MSD China, Beijing, China. Shu Kuang is an employee of MSD China, Beijing, China. Chie‐Schin Shih is an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey and a stockholder of Merck & Co., Inc., Kenilworth, New Jersey.

Author Contributions

Hyun Cheol Chung: Data acquisition, data analysis, interpretation of the results, drafting of the manuscript, and critically reviewing or revising the manuscript for important intellectual content. Yoon‐Koo Kang: Data acquisition, interpretation of the results, and critically reviewing or revising the manuscript for important intellectual content. Zhendong Chen: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Yuxian Bai: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Wan Zamaniah Wan Ishak: Data acquisition, drafting of the manuscript, and critically reviewing or revising the manuscript for important intellectual content. Byoung Yong Shim: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Young Lee Park: Data acquisition, interpretation of the results, and critically reviewing or revising the manuscript for important intellectual content. Dong‐Hoe Koo: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Jianwei Lu: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Jianming Xu: Data acquisition, data analysis, interpretation of the results, and critically reviewing or revising the manuscript for important intellectual content. Li‐Yuan Bai: Data acquisition, interpretation of the results, and critically reviewing or revising the manuscript for important intellectual content. Shan Zeng: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Ying Yuan: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Yen‐Yang Chen: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Kangsheng Gu: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Chie‐Schin Shih: Data acquisition, data analysis, interpretation of the results, drafting of the manuscript, and critically reviewing or revising the manuscript for important intellectual content. Shu‐Kui Qin: Data acquisition and critically reviewing or revising the manuscript for important intellectual content. Wen Yan Zhong: Analysis of the data and critically reviewing or revising the manuscript for important intellectual content. Hong Jae Chon: Interpretation of the results and critically reviewing or revising the manuscript for important intellectual content. Shu Kuang: Interpretation of the results and critically reviewing or revising the manuscript for important intellectual content. All coauthors have given final approval to the manuscript. Table S1‐S3 Click here for additional data file.
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Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

4.  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.

Authors:  Yelena Y Janjigian; Kohei Shitara; Markus Moehler; Marcelo Garrido; Pamela Salman; Lin Shen; Lucjan Wyrwicz; Kensei Yamaguchi; Tomasz Skoczylas; Arinilda Campos Bragagnoli; Tianshu Liu; Michael Schenker; Patricio Yanez; Mustapha Tehfe; Ruben Kowalyszyn; Michalis V Karamouzis; Ricardo Bruges; Thomas Zander; Roberto Pazo-Cid; Erika Hitre; Kynan Feeney; James M Cleary; Valerie Poulart; Dana Cullen; Ming Lei; Hong Xiao; Kaoru Kondo; Mingshun Li; Jaffer A Ajani
Journal:  Lancet       Date:  2021-06-05       Impact factor: 79.321

5.  Treatment patterns and outcomes in patients with metastatic gastric cancer receiving third-line chemotherapy: A population-based outcomes study.

Authors:  In Sil Choi; Mihong Choi; Ju Hyun Lee; Jee Hyun Kim; Koung Jin Suh; Ji Yun Lee; Beodeul Kang; Ji-Won Kim; Se-Hyun Kim; Jin Won Kim; Jeong-Ok Lee; Yu Jung Kim; Soo-Mee Bang; Jong Seok Lee; Keun-Wook Lee
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

Review 6.  Late-line treatment in metastatic gastric cancer: today and tomorrow.

Authors:  Elizabeth C Smyth; Markus Moehler
Journal:  Ther Adv Med Oncol       Date:  2019-08-28       Impact factor: 8.168

7.  The Chinese Society of Clinical Oncology (CSCO): clinical guidelines for the diagnosis and treatment of gastric cancer.

Authors:  Feng-Hua Wang; Lin Shen; Jin Li; Zhi-Wei Zhou; Han Liang; Xiao-Tian Zhang; Lei Tang; Yan Xin; Jing Jin; Yu-Jing Zhang; Xiang-Lin Yuan; Tian-Shu Liu; Guo-Xin Li; Qi Wu; Hui-Mian Xu; Jia-Fu Ji; Yuan-Fang Li; Xin Wang; Shan Yu; Hao Liu; Wen-Long Guan; Rui-Hua Xu
Journal:  Cancer Commun (Lond)       Date:  2019-03-18

Review 8.  Korean Practice Guideline for Gastric Cancer 2018: an Evidence-based, Multi-disciplinary Approach.

Authors: 
Journal:  J Gastric Cancer       Date:  2019-03-19       Impact factor: 3.720

9.  Pembrolizumab versus paclitaxel for previously treated PD-L1-positive advanced gastric or gastroesophageal junction cancer: 2-year update of the randomized phase 3 KEYNOTE-061 trial.

Authors:  Charles S Fuchs; Mustafa Özgüroğlu; Yung-Jue Bang; Maria Di Bartolomeo; Mario Mandala; Min-Hee Ryu; Lorenzo Fornaro; Tomasz Olesinski; Christian Caglevic; Hyun C Chung; Kei Muro; Eric Van Cutsem; Anneli Elme; Peter Thuss-Patience; Ian Chau; Atsushi Ohtsu; Pooja Bhagia; Anran Wang; Chie-Schin Shih; Kohei Shitara
Journal:  Gastric Cancer       Date:  2021-09-01       Impact factor: 7.370

10.  Japanese gastric cancer treatment guidelines 2018 (5th edition).

Authors: 
Journal:  Gastric Cancer       Date:  2020-02-14       Impact factor: 7.370

View more
  3 in total

Review 1.  Molecular pathogenesis and emerging targets of gastric adenocarcinoma.

Authors:  Abby Ivey; Hillary Pratt; Brian A Boone
Journal:  J Surg Oncol       Date:  2022-06       Impact factor: 2.885

Review 2.  Advances in molecular biomarkers research and clinical application progress for gastric cancer immunotherapy.

Authors:  Hongzhen Cai; Man Li; Ruiyi Deng; Mopei Wang; Yanyan Shi
Journal:  Biomark Res       Date:  2022-08-30

Review 3.  Therapeutic strategies for gastric cancer targeting immune cells: Future directions.

Authors:  Yan Zhao; Yuansong Bai; Meili Shen; Yapeng Li
Journal:  Front Immunol       Date:  2022-09-23       Impact factor: 8.786

  3 in total

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