Literature DB >> 32698781

Efficacy and safety of nivolumab for advanced gastric cancer patients with poor performance statuses.

Toshihiko Matsumoto1,2, Yosuke Yamamoto3, Yusuke Kuriona3, Ukyo Okazaki3, Shogo Kimura3, Kou Miura3, Takao Tsuduki3, Takanori Watanabe4, Yusuke Mastumoto4, Masahiro Takatani3.   

Abstract

BACKGROUND: Nivolumab has changed the treatment of advanced gastric cancer (AGC). Nivolumab shows better outcomes compared to best supportive care among AGC patients who received at least two prior regimens. However, there are no reliable data regarding AGC patients with poor performance status (PS) who received nivolumab. We investigated the efficacy and safety of nivolumab among AGC patients with poor PS.
METHODS: We retrospectively collected clinicopathologic data from patients with AGC who underwent nivolumab monotherapy at our institution from October 2017 to June 2019.
RESULTS: Forty-nine AGC patients who received nivolumab were assessed. Twenty-seven patients had PS 0 or 1 (Good group) and 22 had PS 2 or 3 (Poor group). The median progression-free survival and overall survival durations were 2.0 and 6.0 months in the Good group, respectively, and 1.2 and 2.8 months in the Poor group, respectively. The overall survival was significantly shorter in the Poor group (6.0 vs 2.8 months, p = 0.0255). The disease control rates were 23 and 9% in the Good and Poor groups, respectively. Thirty-three percent of patients experienced immune-related adverse events in the Good group, and 18% in the Poor group.
CONCLUSION: Nivolumab is feasible but insufficient as third- or later-line treatment for AGC patients with poor PS.

Entities:  

Keywords:  Gastric cancer; Nivolumab; Treatment failure

Mesh:

Substances:

Year:  2020        PMID: 32698781      PMCID: PMC7376661          DOI: 10.1186/s12885-020-07176-7

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Gastric cancer is one of the most common forms of cancer. Its incidence is the fifth highest among cancers worldwide and it is the third commonest cause of deaths due to cancer [1]. Globally, systemic chemotherapy is the standard treatment for unresectable and metastatic gastric cancer. Combinations of a fluoropyrimidine, platinum agent, and taxane are standard first-line chemotherapeutic regimens for patients with human epidermal growth factor receptor 2 (HER2)-negative advanced gastric cancer (AGC). In HER2-positive AGC, a fluoropyrimidine, platinum agent, and trastuzumab (an anti-HER2 antibody) are standard first-line chemotherapeutic regimens [2-4]. Recently, blockade of immune checkpoint molecules with monoclonal antibodies has demonstrated promising efficacy for AGC. Nivolumab is a fully human IgG4 monoclonal antibody inhibitor of programmed death-1 (PD-1). The phase III trial of nivolumab (ATTRACTION-2) for patients with AGC after two or more previous lines of chemotherapy in Japan, South Korea and Taiwan showed a significant survival benefit, and nivolumab has been approved for AGC in Japan [5]. Another PD-1 antibody (pembrolizumab) also showed clinical benefit for PD-L1 positive AGC in phase 2 and 3 trials [6, 7]. In those clinical trials, no AGC patients had poor general conditions, such as Eastern Cooperative Oncology Group (ECOG) performance status (PS) 2–4. In the ATTRACTION-2 trial, 29% of patients had PS 0 and 71% had PS 1. In the real world in our institution, not only AGC patients in good condition but also those in poor condition receive nivolumab after two or more previous line chemotherapeutic regimens. Among AGC patients in poor condition, it remains unclear whether nivolumab has sufficient efficacy and tolerable toxicity. The aim of the present study was to assess the safety and efficacy of nivolumab among AGC patients with poor conditions and investigate their prognostic factors.

Methods

Patients

This study was single institution study. The subjects were patients with AGC treated with nivolumab between October 2017 and June 2019 at the Himeji Red Cross Hospital, Hyogo, Japan. All data were collected retrospectively from electronic medical records. All procedures were performed in accordance with institutional and national standards on human experimentation, as confirmed by the ethics committee of Himeji Red Cross Hospital, and with the Declaration of Helsinki of 1964 and its later amendments. The inclusion criteria were as follows: (1) unresectable gastric cancer, (2) histologically proven gastric carcinoma, (3) refractory or intolerant to at least 2 regimens, and (4) no prior administration of immune checkpoint inhibitors. The study protocol was approved by the Institutional Review Board of the Himeji Red Cross Hospital.

Treatment

The patients received nivolumab 3 mg/kg infusion every 2 weeks until disease progression or intolerance (240 mg/kg since August 2018).

Evaluation and statistical analysis

ECOG perfomance score was defined by the clinical oncologists and chemotherapeutic nurses. Tumour response was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Toxicity was assessed using the Common Terminology Criteria for Adverse Events (CTCAE) version 4.1. Overall survival (OS) was assessed from the date of initiation of treatment with nivolumab until death. Patients who were alive or for whom data were missing at the data cut-off point were censored. Progression-free survival (PFS) was assessed from the date of initiation of treatment with nivolumab until disease progression was confirmed. Patients for whom there was no information regarding tumour progression were treated as censored cases. OS and PFS were estimated using the Kaplan–Meier method. Statistical analyses were performed using JMP version 12 (SAS Institute Inc., Cary, NC, USA).

Prognostic factors

Among the study subjects, we assessed the Japan Clinical Oncology Group (JCOG) index, Royal Marsden Hospital (RMH) index, and modified Glasgow prognostic score (mGPS). The JCOG index comprised four risk factors: ECOG PS ≥1, number of metastatic sites ≥2, no prior gastrectomy, and serum alkaline phosphatase (ALP) level (normal range:). Based on these factors, the risks among patients were classified as follows: good risk (0–1 factor), moderate risk (2–3 factors), and poor risk (4 factors) [8]. The RMH index consists of the following four independent risk factors for survival: PS ≥2, liver metastasis, peritoneal metastasis, and serum ALP concentration ≥ 100 U/L. Patients were classified into the following three groups according to the number of risk factors: low risk (no risk factors), moderate risk (1 or 2 risk factors), and high risk (3 or 4 risk factors) [9]. The mGPS was assessed based on elevated serum C-reactive protein (CRP) concentration and hypoalbuminemia. Patients with an elevated serum CRP concentration (> 10 mg/L) and hypoalbuminemia (serum albumin concentration < 35 g/L) were allocated a score of 2. Patients with an elevated serum CRP concentration (> 10 mg/L) alone received a score of 1, and those with a normal CRP concentration (≤10 mg/L) and any albumin concentration received a score of 0 [10].

Results

Between October 2017 and June 2019, 49 patients received nivolumab after failure of at least 2 regimens. Their characteristics are shown in Table 1. The median age was 67 (range: 42–83) years and a majority was male (80%). Twenty-seven patients were allocated a PS 0 or 1 (Good group) and 22 patients were allocated a PS 2 or 3 (Poor group). Twenty-four patients (49%) had a diffuse type histology and 10 patients (20%) had HER2 positive disease. Micro satellite instability was not tested in all patients. Thirty-three patients (67%) had peritoneal dissemination and 19 (39%) had liver metastasis. All patients received regimens containing 5-fluorouracil, 41 (84%) received platinum-containing regimens, 46 (94%) received taxane, 40 (82%) received ramucirumab, and 11 (22%) received a CPT-11 containing regimen.
Table 1

Background characteristics of study participants

All(n = 49), n (%)Good PS(n = 27), n (%)Poor PS(n = 22), n (%)
Age, yrsMedian (range)67 (42–83)69 (48–72)66.5 (42–83)
SexMale39 (80)9 (33)19 (86)
PS05 (10)5 (19)0
122 (45)22 (81)0
214 (29)014 (64)
38 (16)08 (36)
HistologyDiffuse type24 (49)12 (44)12 (55)
Intestinal type24 (49)15 (56)9 (41)
HER2 statusPositive10 (20)5 (19)5 (23)
Prior gastrectomyYes29 (59)15 (56)14 (55)
Number of metastatic sites≥227 (55)15 (56)12 (55)
Liver metastasisYes19 (39)14 (56)5 (23)
Peritoneal disseminationYes33 (67)17 (63)16 (73)
AscitesYes27 (55)11 (41)16 (73)
Number of prior regimens235 (71)19 (70)16 (73)
310 (20)7 (26)3 (14)
> 34 (8)2 (4)2 (9)
Prior 5-FUYes49 (100)27 (100)22 (100)
Prior platinumYes41 (84)22 (81)19 (86)
Prior taxaneYes46 (94)25 (93)21 (95)
Prior irinotecanYes11 (22)8 (30)3 (14)
Prior ramucirumabYes40 (82)23 (85)17 (77)

PS performance status, HER2 human epidermal growth factor receptor, 5-FU 5-fluorouracil

Background characteristics of study participants PS performance status, HER2 human epidermal growth factor receptor, 5-FU 5-fluorouracil

Efficacy

Forty-seven patients with measurable lesions were evaluated for tumour response. A total of 6% of patients achieved a partial response, and 17% of patients showed stable disease, resulting in a response rate (RR) of 6% and a disease control rate (DCR) of 23% (Table 2). The median follow-up time was 155 days among censored cases. The median PFS was 1.9 months (95% confidence interval [CI], 1.3–2.2), and the median OS was 4.3 months (95% CI, 2.8–6) (Fig. 1). In the Good group, the RR was 8%, the DCR was 27%, the median PFS was 2.0 months (95% CI, 1.7–3.0), and the OS was 6.0 months (95% CI, 4.0–9.0). In the Poor group, the RR was 5%, the DCR was 19%, the median PFS was 1.2 months (95% CI, 0.7–2.2), and the OS was 2.8 months (95% CI, 1.8–3.7) (Figs. 2). There were significant differences in PFS and OS between the Good and Poor groups (Fig. 2). In the Poor group, only 1 patient achieved PR but with poor PS due to complications such as brain infarction.
Table 2

Responses among patients with measurable lesions

All (n = 49)Good (n = 27)Poor (n = 22)
CR000
PR321
SD853
PD361917
NE211
RR (%)6%8%5%
DCR (%)23%27%19%

CR complete response, PR partial response, SD stable disease, PD progressive disease, NE not evaluable, RR response rate, DCR disease control rate (CR + PR + SD)

Fig. 1

Kaplan–Meier plots of a progression-free survival (PFS) and b overall survival (OS) among study participants

Fig. 2

Kaplan–Meier plots of a progression-free survival (PFS) and b overall survival (OS) among study participants. Red line: Good group, Blue line: Poor group

Responses among patients with measurable lesions CR complete response, PR partial response, SD stable disease, PD progressive disease, NE not evaluable, RR response rate, DCR disease control rate (CR + PR + SD) Kaplan–Meier plots of a progression-free survival (PFS) and b overall survival (OS) among study participants Kaplan–Meier plots of a progression-free survival (PFS) and b overall survival (OS) among study participants. Red line: Good group, Blue line: Poor group

Safety

Adverse events among study participants are shown in Table 3. Thirty-three percent of patients experienced immune-related adverse events (irAE) in the Good group, and 18% in the Poor group. There was no significant difference in safety between the Good and Poor groups. One patient died due to grade 5 colitis in the Poor group. There was no significant difference between the Good and Poor groups regarding safety characteristics.
Table 3

Distribution of adverse events among study participants

All(n = 49), n (%)Good(n = 27), n (%)Poor(n = 22), n (%)
AllG 1/2≥G 3AllG 1/2≥G 3AllG 1/2≥G 3
Fatigue4 (8)4 (8)02 (7)2 (7)02 (9)2 (9)0
Pruritis3 (6)3 (6)03 (11)3 (11)0000
Diarrhoea6 (12)3 (6)3 (6)2 (7)02 (7)4 (18)3 (14)1 (5)
Anorexia2 (4)2 (4)01 (4)1 (4)01 (5)1 (5)0
Hypothyroidism2 (4)2 (4)01 (4)1 (4)01 (5)1 (5)0
Rash3 (6)2 (4)1 (2)3 (11)2 (7)1 (4)000
Hyperglycaemia1 (2)01 (2)1 (4)01 (4)000
Liver dysfunction1 (2)1 (2)00001 (5)1 (5)0
Adrenal insufficiency2 (4)2 (4)02 (7)2 (7)0000
Stomatitis1 (2)1 (2)01 (4)1 (4)0000
Fever1 (2)1 (2)01 (4)1 (4)0000
Distribution of adverse events among study participants

Discussion

In our study, nivolumab showed poor survival outcomes regarding poor PS among gastric cancer patients. In the ATTRACTION-2 trial, poor PS (PS 1), low serum sodium concentration, high neutrophil-to-lymphocyte ratio, and no prior ramucirumab suggested poor prognosis among AGC patients who received nivolumab [5]. The results of subgroup analysis in phase 2 and 3 trials of pembrolizumab showed that better PS was associated with a higher RR and longer OS [6, 7]. However, no patients had PS 2–4 in these trials. Spigel DR et al. reported on the safety and efficacy of nivolumab among non-small cell lung cancer (NSCLC) patients, including those aged ≥70 years or with poor PS (CheckMate 153). In the CheckMate 153 trial, the levels of safety in the overall population and patients with PS 2 were almost the same (serious treatment adverse events: 5–6%). However, the median OS of the overall population was 9.1 months and that of patients with PS 2 was only 4.0 months [11]. Although, there were few studies of nivolumab in patients with poor PS (PS 2,3, and 4). Mishima S et al. reported significant improvements in objective RR (ORR) and PFS among patients with PS 0 compared with those with PS 1 or 2 (ORR: 30% vs. 3%, p < 0.01; median PFS 3.0 vs.1.1 months; hazard ratio [HR] 0.30, 95% CI 0.18–0.52, p < 0.01) [12]. For other cancers such as NSCLC and malignant melanoma, several studies reported that poor PS was associated with poor survival outcome. Fujimoto D et al. reported that smoking status, EGFR mutation/ALK rearrangement and poor PS were independent poor prognostic factors among NSCLC patients in a multicentre retrospective cohort study (PS 0–1 vs 2–4; HR 0.41, p < 0.001) [13]. Katsura H et al. studied the efficacy and safety of nivolumab among NSCLC patients with poor PS. The OS durations of patients with PS 0–1 and 2–4 were 412 and 32 days, respectively (p < 0.001) [14]. Our study is the first to focus on nivolumab for AGC patients with poor PS. In our study, the OS among patients with poor PS was significantly shorter than that among those with good PS (83 vs. 177 days, p = 0.0255). The same trend was observed in our study. In a previous study of NSCLC (CheckMate 153 trial), irAEs were similar for the overall population (6%) and patients with an ECOG PS of 2 (9%) [11]. Katsura H et al. reported that the incidence of pneumonitis in the group with poor PS was significantly higher than that in the group with good PS (35% vs. 9%, p = 0.028) [14]. Fujimoto D et al. reported that the incidence rates of severe irAEs were similar between those with good PS scores (0–1) and poor PS scores (2–4) within 2 months after commencing nivolumab therapy (6.1% vs. 6.3%, respectively; p = 0.918). However, 3 out of 4 patients who developed toxicities of grade 5 had poor PS [13]. In our study, there were similar frequencies of treatment-related adverse events between the Good and Poor groups, but 1 patient with poor PS developed grade 5 toxicity. These results suggested that severe toxicity needed to be noted in the Poor PS group. In our study, patients with poor PS received limited benefit from nivolumab; only 1 patient with poor PS achieved PR due to complications such as brain infarction. Only 2 patients achieved a PFS of 6 months in the Poor group; the poor PS among both patients was due to brain infarction and osteoarthritis of the hip. In the Poor group, 20 patients recorded poor PS due to gastric cancer; the RR was 0% and the DCR was 5%. These results suggested that a high tumour burden was associated with poor outcome among gastric cancer patients who received nivolumab. In AGC patients, no biomarker has been established to predict the efficacy of nivolumab therapy. We investigated whether JCOG index, RMH index and mGPS could be predictive factor for poor PS patients, but none could be a predictive factor. The reason may be that poor PS was already included as a factor in JCOG index and RMH index. In addition, only 4 cases had mGPS of 0 in poor PS patients. We consider the need for studies to validate new predictive factors of nivolumab efficacy in poor PS AGC patients.

Conclusions

Our results indicate that nivolumab has a modest effect and is feasible as third- or later-line therapy for AGC patients. However, among patients with poor PS, this study suggested that the effect may be insufficient. This study suggested that nivolumab is not recommended for AGC patients with poor PS. The present study had several limitations, including its retrospective design, single institution setting, and small number of patients. Further studies to investigate useful predictive factor with larger numbers of patients are needed.
  13 in total

1.  Efficacy and safety of nivolumab in previously treated patients with non-small cell lung cancer: A multicenter retrospective cohort study.

Authors:  Daichi Fujimoto; Hiroshige Yoshioka; Yuki Kataoka; Takeshi Morimoto; Young Hak Kim; Keisuke Tomii; Tadashi Ishida; Masataka Hirabayashi; Satoshi Hara; Manabu Ishitoko; Yasushi Fukuda; Moon Hee Hwang; Naoki Sakai; Motonari Fukui; Hitoshi Nakaji; Mitsunori Morita; Tadashi Mio; Takehiro Yasuda; Takakazu Sugita; Toyohiro Hirai
Journal:  Lung Cancer       Date:  2018-03-02       Impact factor: 5.705

2.  Gastric cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  E C Smyth; M Verheij; W Allum; D Cunningham; A Cervantes; D Arnold
Journal:  Ann Oncol       Date:  2016-09       Impact factor: 32.976

3.  Safety, Efficacy, and Patient-Reported Health-Related Quality of Life and Symptom Burden with Nivolumab in Patients with Advanced Non-Small Cell Lung Cancer, Including Patients Aged 70 Years or Older or with Poor Performance Status (CheckMate 153).

Authors:  David R Spigel; Michael McCleod; Robert M Jotte; Lawrence Einhorn; Leora Horn; David M Waterhouse; Ben Creelan; Sunil Babu; Natasha B Leighl; Jason C Chandler; Felix Couture; George Keogh; Glenwood Goss; Davey B Daniel; Edward B Garon; Lee S Schwartzberg; Rohini Sen; Beata Korytowsky; Ang Li; Nivedita Aanur; Maen A Hussein
Journal:  J Thorac Oncol       Date:  2019-05-20       Impact factor: 15.609

4.  Validation of the JCOG prognostic index in advanced gastric cancer using individual patient data from the SPIRITS and G-SOX trials.

Authors:  Daisuke Takahari; Junki Mizusawa; Wasaburo Koizumi; Ichinosuke Hyodo; Narikazu Boku
Journal:  Gastric Cancer       Date:  2017-02-16       Impact factor: 7.370

5.  Multivariate prognostic factor analysis in locally advanced and metastatic esophago-gastric cancer--pooled analysis from three multicenter, randomized, controlled trials using individual patient data.

Authors:  Ian Chau; Andy R Norman; David Cunningham; Justin S Waters; Jacqui Oates; Paul J Ross
Journal:  J Clin Oncol       Date:  2004-06-15       Impact factor: 44.544

6.  Measurement of the systemic inflammatory response predicts cancer-specific and non-cancer survival in patients with cancer.

Authors:  D C McMillan; M M Elahi; N Sattar; W J Angerson; J Johnstone; C S McArdle
Journal:  Nutr Cancer       Date:  2001       Impact factor: 2.900

7.  Nivolumab in patients with advanced gastric or gastro-oesophageal junction cancer refractory to, or intolerant of, at least two previous chemotherapy regimens (ONO-4538-12, ATTRACTION-2): a randomised, double-blind, placebo-controlled, phase 3 trial.

Authors:  Yoon-Koo Kang; Narikazu Boku; Taroh Satoh; Min-Hee Ryu; Yee Chao; Ken Kato; Hyun Cheol Chung; Jen-Shi Chen; Kei Muro; Won Ki Kang; Kun-Huei Yeh; Takaki Yoshikawa; Sang Cheul Oh; Li-Yuan Bai; Takao Tamura; Keun-Wook Lee; Yasuo Hamamoto; Jong Gwang Kim; Keisho Chin; Do-Youn Oh; Keiko Minashi; Jae Yong Cho; Masahiro Tsuda; Li-Tzong Chen
Journal:  Lancet       Date:  2017-10-06       Impact factor: 79.321

8.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

9.  Japanese gastric cancer treatment guidelines 2014 (ver. 4).

Authors: 
Journal:  Gastric Cancer       Date:  2016-06-24       Impact factor: 7.370

10.  Clinicopathological and molecular features of responders to nivolumab for patients with advanced gastric cancer.

Authors:  Saori Mishima; Akihito Kawazoe; Yoshiaki Nakamura; Akinori Sasaki; Daisuke Kotani; Yasutoshi Kuboki; Hideaki Bando; Takashi Kojima; Toshihiko Doi; Atsushi Ohtsu; Takayuki Yoshino; Takeshi Kuwata; Akihito Tsuji; Kohei Shitara
Journal:  J Immunother Cancer       Date:  2019-01-31       Impact factor: 13.751

View more
  5 in total

1.  Association Between Immune-Related Adverse Events and the Prognosis of Patients with Advanced Gastric Cancer Treated with Nivolumab.

Authors:  Yoshiyasu Kono; Yasuhiro Choda; Masahiro Nakagawa; Koji Miyahara; Michihiro Ishida; Tetsushi Kubota; Keiji Seo; Tetsu Hirata; Yuka Obayashi; Tatsuhiro Gotoda; Yuki Moritou; Yoshiko Okikawa; Yasuo Iwamoto; Hiroyuki Okada
Journal:  Target Oncol       Date:  2021-01-21       Impact factor: 4.493

2.  Clinical features as potential prognostic factors in patients treated with nivolumab for highly pretreated metastatic gastric cancer: a multicenter retrospective study.

Authors:  Akihiko Sano; Makoto Sohda; Nobuhiro Nakazawa; Yasunari Ubukata; Kengo Kuriyama; Akiharu Kimura; Norimichi Kogure; Hisashi Hosaka; Atsushi Naganuma; Masanori Sekiguchi; Kana Saito; Kyoichi Ogata; Makoto Sakai; Hiroomi Ogawa; Ken Shirabe; Hiroshi Saeki
Journal:  BMC Cancer       Date:  2022-01-03       Impact factor: 4.430

3.  Prognostic factors to predict the survival in patients with advanced gastric cancer who receive later-line nivolumab monotherapy-The Asahikawa Gastric Cancer Cohort Study (AGCC).

Authors:  Kazuyuki Tanaka; Hiroki Tanabe; Hiroki Sato; Chisato Ishikawa; Mitsuru Goto; Naoyuki Yanagida; Hiromitsu Akabane; Shiro Yokohama; Kimiharu Hasegawa; Yohei Kitano; Yuya Sugiyama; Kyoko Uehara; Yu Kobayashi; Yuki Murakami; Takehito Kunogi; Takahiro Sasaki; Keitaro Takahashi; Katsuyoshi Ando; Nobuhiro Ueno; Shin Kashima; Kentaro Moriichi; Keisuke Sato; Sayaka Yuzawa; Mishie Tanino; Masaki Taruiishi; Yasuo Sumi; Yusuke Mizukami; Mikihiro Fujiya; Toshikatsu Okumura
Journal:  Cancer Med       Date:  2021-11-29       Impact factor: 4.452

4.  Immunotherapy Efficacy in the Initial Lines of Treatment in Advanced Upper Gastrointestinal Malignancies: A Systematic Review of the Literature.

Authors:  Konstantinos Kamposioras; Panagiotis Ntellas; Michail Nikolaou; Theodora Germetaki; Ioanna Gazouli; Katerina Dadouli; George Zarkavelis; Anna-Lea Amylidi; Maria Tolia; Davide Mauri
Journal:  JNCI Cancer Spectr       Date:  2021-11-16

5.  Appropriate PD-L1 Cutoff Value for Gastric Cancer Immunotherapy: A Systematic Review and Meta-Analysis.

Authors:  Tong Xie; Zhening Zhang; Xiaotian Zhang; Changsong Qi; Lin Shen; Zhi Peng
Journal:  Front Oncol       Date:  2021-09-01       Impact factor: 6.244

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.