Long-term Immunogenicity of the 13-valent Pneumococcal Conjugate Vaccine during Adjuvant Chemotherapy in Patients with Gastric and Colorectal Cancer: A 5-Year Follow-up of a Randomized Controlled Trial

Article information

Cancer Res Treat. 2026;58(1):61-70
Publication date (electronic) : 2025 February 12
doi : https://doi.org/10.4143/crt.2024.1083
1Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Korea
2Division of Infectious Diseases, Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, Korea
3Department of Hematology/Oncology, School of Medicine, Kyungpook National University, Daegu, Korea
4Division of Medical Oncology, Department of Internal Medicine, Yonsei University of College of Medicine, Seoul, Korea
5Division of Infectious Disease, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
6Vaccine Innovation Center-KU Medicine (VIC-K), Seoul, Korea
Correspondence: Woo Kyun Bae, Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, 322 Seoyang-ro, Hwasun 58128, Korea Tel: 82-61-379-7623 E-mail: drwookyun@jnu.ac.kr
Co-correspondence: Joon Young Song, Division of Infectious Disease, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul 08308, Korea Tel: 82-2-2626-3052 E-mail: infection@korea.ac.kr
Received 2024 November 12; Accepted 2025 February 11.

Abstract

Purpose

Current guidelines recommend vaccination at least 2 weeks before chemotherapy initiation to optimize the immune response despite limited evidence. Our previous study indicated no differences in short-term immune response for the 13-valent pneumococcal conjugate vaccine (PCV13) according to the vaccination timing. This study aims to investigate the long-term efficacy of PCV13 and clinical factors associated with the respective antibody response.

Materials and Methods

Patients with gastric or colorectal cancer who received adjuvant chemotherapy were enrolled and divided into two groups: vaccinated 2 weeks before chemotherapy (arm A) and vaccinated concurrently with chemotherapy (arm B). Serum samples were collected before vaccination and in one month, 3 years, and 5 years. Immune responses were measured using enzyme-linked immunosorbent assay and multiplex opsonophagocytosis assay.

Results

Including 63 patients, both groups showed an initial increase in the geometric mean titers of opsonophagocytic activity and the geometric mean concentrations of serotype-specific IgG levels after one month, followed by a decline at 3 and 5 years, particularly for serotypes 1, 14, 18C, and 19A. Despite the decline, global protection was maintained for 5 years, although global response decreased. The two arms did not show significant differences in immunogenicity nor in factors such as vaccination timing, age, cancer type, or chemotherapy regimen.

Conclusion

Vaccination timing is not a significant factor for the immunogenicity of PCV13 in cancer patients undergoing adjuvant chemotherapy. Global protection against pneumococcal infection was sustained for > 5 years, and global response remained in over half of patients.

Introduction

Pneumonia accounts for nearly 10% of cancer patients’ hospitalizations, with bacterial pneumonia significantly contributing to morbidity and mortality in this population [1]. In immunocompromised patients, the pathogens responsible for community-acquired pneumonia (CAP) are often detected at prevalences similar to those in immunocompetent individuals, with pneumococcus being the most common pathogen among cancer patients [2]. Furthermore, pneumococcal vaccination reduces pneumonia incidence, decreases hospitalization, and improves clinical outcomes in cancer patients [3].

Current guidelines recommend pneumococcal vaccination for immunocompromised individuals, including cancer patients, to prevent pneumococcal infections. The Infectious Diseases Society of America developed clinical practice guidelines in 2013, advocating for pneumococcal vaccination in immunocompromised individuals, including cancer patients receiving chemotherapy [4]. Similarly, the U.S. Advisory Committee on Immunization Practice recommends pneumococcal conjugate vaccines for adults aged ≥ 65 years, as well as for individuals aged 6-64 years with altered immunocompetence [5]. Numerous oncology practice guidelines, including those from the National Comprehensive Cancer Network and the American Society of Clinical Oncology, have adopted these recommendations and suggest using the pneumococcal conjugate vaccine for pneumococcal vaccine–naïve newly diagnosed cancer patients [6,7]. However, the optimal timing for vaccination remains uncertain. Existing guidelines suggest vaccination before initiating chemotherapy to optimize an immune response. However, the evidence is primarily limited to patients with severe humoral immunity impairment, such as those with chronic lymphocytic leukemia receiving rituximab or Bruton Tyrosine Kinase inhibitors [7].

Previously, we investigated the impact of vaccination timing with the 13-valent pneumococcal conjugated vaccine (PCV13) in patients with colorectal and gastric cancer undergoing adjuvant chemotherapy [8]. Our initial study found that the interval between vaccination and chemotherapy did not significantly influence immunogenicity and antibody response [8]. However, the study only assessed short-term post-vaccination outcomes. A long-term follow-up was needed to identify the trend in antibody response and the potential need for revaccination after completing chemotherapy. Therefore, this follow-up study aims to further evaluate the long-term immunogenicity of PCV13 in these patients and identify factors associated with the respective antibody response.

Materials and Methods

1. Patients and study design

Patients from the previous study who agreed to long-term follow-up and repeat blood sampling were enrolled in this follow-up study. All subjects had undergone curative resection for gastric or colorectal cancer and completed an adjuvant chemotherapy course. The PCV13 was administered to all patients who were divided into two groups: arm A received the vaccine 2 weeks before chemotherapy, and arm B received it on the first day of chemotherapy. Serum samples were collected at baseline and in one month, 3 years, and 5 years after vaccination. Additionally, data on the incidence of invasive pneumococcal infections or pneumonia were gathered through follow-up assessments.

2. Immunogenicity

As in the previous study, the serologic response was evaluated using a multiplex opsonophagocytosis assay (MOPA) for serotypes 5, 6B, 18C, and 19A, which were selected based on the nasopharyngeal carriage rate and invasive disease potential. The assay was conducted using follow-up samples. Geometric mean titers, fold increase of titers, the seroprotection rate (percentage of patients with post-vaccination opsonophagocytic activity [OPA] titer ≥ 1:64), and the seroconversion rate (percentage of patients with ≥ 4-fold increase in OPA titers) were used to assess the immunogenicity.

Additionally, antibody responses to all 13 serotypes in PCV13 were measured using an enzyme-linked immunosorbent assay (ELISA). Global protection (IgG concentration ≥ 1 μg/mL for at least five PCV13 tested serotypes) and global response (at least a two-fold increase, compared to the baseline, in specific IgG antibody levels for at least five PCV13 tested serotypes) were also used to evaluate the immune response to the vaccine [9-14].

3. Protocol of ELISA and MOPA

The MOPA assay was conducted to estimate the level of functional antibodies against four selected pneumococcal serotypes. The titer of OPA was defined as the serum dilution ratio that killed 50% of bacteria. A detailed MOPA assay protocol is posted online at http://www.vaccine.uab.edu. Briefly, frozen aliquots of S. pneumoniae (streptomycin-resistant-serotype 5, spectinomycin-resistant serotype 6B, optochin-resistant serotype 18C, and trimethoprim-resistant serotype 19A) were washed twice. Then, 10 μL of the serially diluted serum and pneumococcal mixture were added to 96-well plates and incubated for 30 minutes with gentle shaking (700 rpm). Afterward, 40 μL of HL60 cells (1×107 cells/mL) and 10 μL of baby rabbit complement (Pel-Freez Biological) were added to each well. The plate was incubated in a 5% CO2 incubator at 37ºC for 45 minutes with shaking (700 rpm) and transferred to ice for 20 minutes. Afterward, 10 μL of the final reaction mixture was spotted on four different THY agar plates. Then, THY with 0.75% agar and 2,3,4-triphenyl tetrazolium chloride (TTC; Sigma-Aldrich) as an overlay agar containing one of the four antibiotics was added to each plate and incubated overnight at 37ºC. Bacterial colonies were counted using the National Institute of Standards and Technology (NIST)-developed NIST’s Integrated Colony Enumerator software.

Pneumococcal ELISA was performed to measure the polysaccharide serotype-specific IgG titers as previously described (http://www.vaccine.uab.edu). The immunoplates (SPL) were coated with 100 μL/well of polysaccharide (5 μg/mL, ATCC) in the phosphate-buffered saline (PBS) and incubated at 37ºC for 5 hours. The coated plates were stored at 4°C overnight and washed 3 times with PBS containing 0.05% Tween 20 (PBS-T; Sigma-Aldrich). The sera were diluted using the adsorption solution by adding 5 μg/mL of cell wall polysaccharide (Statens Serum Institut) and 22F capsular polysaccharide (ATCC) to PBS-T. The adsorbed sera were serially 2-fold diluted in PBS-T on the washed plates and incubated for 2 hours at room temperature. After washing, the plates were incubated for 2 hours at room temperature with goat anti-human IgG-alkaline phosphatase conjugate (Southern Biotech). Then, the plates were washed 5 times with PBS-T, followed by adding 100 μL/mL of AP substrate reagent (1 mg/mL p-nitrophenyl phosphate in the diethanolamine substrate buffer). When the color changed, 50 μL of 3 N NaOH was added as a stop solution. The absorbance was read at 405 nm (test wavelength) and 690 nm (reference wavelength) using a microplate reader (Molecular Devices). Data were analyzed using the standardized curve-fit four-parameter logistic method (4-PL) in the pneumococcal ELISA manual.

4. Statistical analysis

Categorical variables, analyzed using the chi-squared test (or Fisher exact test as appropriate), are presented as numbers and percentages. Continuous variables, analyzed using the Mann-Whitney U test, are presented as medians and ranges. OPA titers and specific IgG concentrations by ELISA are expressed as geometric means with 95% confidence intervals (CIs). Geometric mean titers (GMTs), their mean fold increases, and geometric mean concentrations (GMCs) of specific IgG titers were analyzed using the Student’s t test. Factors associated with global protection and global response were analyzed using a logistic regression model, with results expressed as odds ratio and 95% CIs. SPSS ver. 26.0 (IBM Corp.) was used for all statistical analyses. A p-value < 0.05 indicated statistical significance.

Results

1. Patients characteristics

Among the 92 patients enrolled in the previous study, 63 participated in this long-term follow-up study. Arm A comprised 29 patients, while arm B included 34 patients. Baseline characteristics, including age, sex, Eastern Cooperative Oncology Group performance status, cancer stage, cancer type, and chemotherapeutic regimen, did not significantly differ between the two arms (Table 1). All participants in both groups completed their standard adjuvant chemotherapy courses.

Patients’ characteristics (n=63)

2. Immunogenicity assays

1) Geometric mean titers of OPA

For the four serotypes, the GMTs of OPA significantly increased one month after vaccination. Although GMTs decreased over time, they remained above the pre-vaccination levels. No significant difference was observed between the arms (Table 2).

Serial changes of GMTs of MOPA

2) Fold increase in post-vaccination GMTs of OPA

The fold increase in GMTs peaked one month after vaccination, with most values decreasing to below half in 3 years (Table 3). However, GMTs were stabilized between 3 and 5 years post-vaccination. Additionally, no significant difference in fold increase was noted between the arms (Table 3).

Serial changes of fold increase of MOPA: fold increase in post-vaccination GMTs

3) Seroprotection and seroconversion based on the OPA

One month after vaccination, seroprotection rates exceeded 80% for all four serotypes. For serotypes 6B, 18C, and 19A, seroprotection rates consistently remained above 80% in both arms. In contrast, seroprotection rates for serotype 5 decreased to around 50% in both arms (Fig. 1A, S1 Table). Similar to our previous study, seroconversion rates varied significantly depending on the serotypes. Contrary to the seroprotection rate results, seroconversion rates for serotype 5 were higher compared to other serotypes, remaining sustained after 5 years (Fig. 1B, S1 Table). No significant differences in seroprotection and seroconversion were observed between the two arms.

Fig. 1.

Seroprotection (A) and seroconversion (B) rates of arms A and B at 1 month, 3 years, and 5 years after the PCV13 vaccination.

4) Geometric mean concentration of specific IgG titers

Among the 13 pneumococcal serotypes, specific IgG titers significantly increased after vaccination for all serotypes, except for serotype 3. GMCs for serotypes 1, 6B, 7F, 14, 18C, and 19A decreased by > 50% after 3 years. GMCs for serotypes 4, 5, 6A, 9V, 19F, and 23F were maintained or showed a slow decline in three and 5 years. Comparing both arms, only the GMC for serotype 4 at one month was significantly different (arm A vs. B, 1.46 [95% CI, 0.94 to 2.26] vs. 2.49 [95% CI, 1.96 to 3.15]; p=0.041). GMCs for other serotypes were similar at 3 and 5 years between both arms (Table 4, S2 Fig.).

GMCs of specific IgG titers

5) Global protection and global response

Global protection rates were higher than the pre-vaccination level at 90% (arm A vs. B, 91.7% vs. 96.3%; p=0.575). In arm B, all patients met the criteria for global protection after vaccination, which was consistently maintained even after 5 years. Although some patients in arm A did not meet the criteria, most had global protection, showing no significant difference between the two groups. Conversely, global response rates were the highest one month after vaccination and then continued to decline. More than half of patients in both groups maintained their global response to vaccination. No significant difference was observed between both arms in the global response across all periods (Table 5).

Global protection and global response by specific IgG titers

Logistic regression analyses were conducted to assess the impact of each factor on global protection and global response. Timing of vaccination (2 weeks before vs. the same day), age, sex, cancer site (gastric cancer vs. colorectal cancer), performance status, cancer stage (I-II vs. III-IV), and the type of chemotherapy regimen (monotherapy vs. doublet chemotherapy) had no significant impact on global protection and global response following PCV13 vaccination across all periods (Table 6).

Factors associated with global protection and global response

3. Cases of pneumococcal infections

No cases of invasive pneumococcal diseases or pneumococcal pneumonia were identified among the study participants throughout the follow-up.

Discussion

Our previous study demonstrated that PCV13 immunogenicity is adequate in patients with gastric and colorectal cancer undergoing adjuvant chemotherapy [8]. Contrary to the general recommendations suggesting delayed vaccination during chemotherapy, we found that the antibody response to PCV13 in cancer patients receiving the vaccine concurrently with chemotherapy was not inferior to those who were vaccinated 2 weeks before starting chemotherapy [8]. To the best of our knowledge, this is the first study conducting a 5-year follow-up of PCV13 vaccination in patients with solid tumors undergoing chemotherapy. This study reaffirms that the timing of vaccination relative to chemotherapy does not significantly influence PCV13 immunogenicity in this patient population. Additionally, PCV13 demonstrates sustained immunogenicity over 5 years, with global protection maintained in most patients.

The MOPA analysis demonstrated significant rises in GMTs and fold increases in functional antibodies for four serotypes one month after vaccination. Although GMTs declined after 5 years, they remained higher than the pre-vaccination levels. Furthermore, ELISA results for all subtypes showed remarkable immunogenicity in cancer patients receiving chemotherapy. Jackson et al. [15] reported PCV13 immunogenicity in immunocompetent and pneumococcal vaccine–naïve patients using OPA assays one month after PCV13 vaccination. Their results were comparable to those of our immunocompromised cohort [15]. In another study involving immunocompetent adults (B1851020 Study Group, NCT00521586), OPA and ELISA analyses were performed one month and 5 years after vaccination. While some antibody titers in our study were lower than in that study, most titers were comparable [16]. Hence, PCV13 demonstrates sustained immunogenicity, effectively protecting against invasive pneumococcal disease even in patients undergoing adjuvant chemotherapy.

Despite the high global protection rates observed for 5 years, the pre-vaccination global protection rates in this study were already over 90%. The concept of global protection, commonly used in studies involving immunocompromised patients [10-14], may require reassessment as a reliable measure of immunogenicity. Actually, unlike in children, the serotype-specific protective threshold of the pneumococcal vaccine has not been established in adults [17]. Over time, the global response rates declined, although more than half of the patients still demonstrated a global response 5 years after vaccination. Therefore, PCV13 immunogenicity diminishes over time, particularly for pneumococcal serotypes 1, 14, 18C, and 19A, which exhibited a marked decline in antibody levels after 3 and 5 years. Given the invasive potential of these serotypes, the observed decline raises the question of whether revaccination is necessary to maintain protection in this population.

Patient factors, such as age, sex, and performance status, did not influence immunogenicity. Additionally, contrary to previous recommendations, administering the vaccine concurrently with chemotherapy did not impact short- and long-term immunogenicity. This result also supports the recommendation for pneumococcal vaccination in cancer patients regardless of chemotherapy timing. This finding is crucial for simplifying vaccination protocols in solid tumor patients undergoing cytotoxic chemotherapy, allowing them to receive necessary immunizations without delaying their treatment.

However, this study has some limitations. The relatively small sample size (63 patients) and the inclusion of only certain cancer types may limit the generalizability of the findings. Furthermore, the study did not evaluate the impact of newer chemotherapy agents, such as immune checkpoint inhibitors, which could influence vaccine responses by altering the immune response dynamics. Additionally, refining the methodologies used to assess vaccine immunogenicity, such as incorporating more sensitive biomarkers, could better predict the long-term effectiveness of pneumococcal vaccination [18].

Future studies should investigate the optimal timing for revaccination in oncology patients, especially given the observed decline in antibody titers over time, which might affect long-term protection against pneumococcal disease. Additionally, research on various cancer types and differing chemotherapy objectives, such as palliative versus curative intent, could provide a broader understanding of pneumococcal vaccination effectiveness in these populations. Such studies could lead to more tailored vaccination schedules for patients undergoing diverse cancer treatments.

In conclusion, this study demonstrates that PCV13 vaccination induces long-term immunity against vaccine-type pneumococci with the potential to improve vaccine efficacy in patients undergoing adjuvant chemotherapy for gastric and colorectal cancer. Vaccination timing relative to chemotherapy initiation does not significantly impact the long-term immunogenicity of pneumococcal vaccination. However, the gradual decline in antibody levels over time suggests that some patients may require revaccination to maintain adequate protection. Further research is needed to establish the optimal revaccination timing in this vulnerable population.

Electronic Supplementary Material

Supplementary materials are available at Cancer Research and Treatment website (https://www.e-crt.org).

Notes

Ethical Statement

The institutional review board of Chonnam National University Hwasun Hospital approved this study (CNUHH-2018-171). This trial was conducted following the Declaration of Helsinki, with all patients providing written informed consent.

Author Contributions

Conceived and designed the analysis: Song JY, Bae WK.

Collected the data: Kim HJ, Bang H, Shim HJ, Hwang JE, Cho SH, Chung IJ, Kang SJ, Kim JG, Beom SH, Jang AY, Song JY, Bae WK.

Contributed data or analysis tools: Kim HJ, Jang AY, Song JY, Bae WK.

Performed the analysis: Kim HJ, Jang AY, Song JY, Bae WK.

Wrote the paper: Kim HJ, Kang SJ, Kim JG, Beom SH, Song JY, Bae WK.

Conflicts of Interest

Conflict of interest relevant to this article was not reported.

Funding

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) (NRF-2020M3A9G3080281) and NRF grant (NRF-2020R1A5A2031185) funded by the Korean government (MSIT).

References

1. Wong JL, Evans SE. Bacterial pneumonia in patients with cancer: novel risk factors and management. Clin Chest Med 2017;38:263–77.
2. Di Pasquale MF, Sotgiu G, Gramegna A, Radovanovic D, Terraneo S, Reyes LF, et al. Prevalence and etiology of community-acquired pneumonia in immunocompromised patients. Clin Infect Dis 2019;68:1482–93.
3. Chiou WY, Hung SK, Lin HY, Chen LC, Hsu FC, Tsai SJ, et al. Effectiveness of 23-valent pneumococcal polysaccharide vaccine on elderly patients with colorectal cancer: a population-based propensity score-matched cohort study. Medicine (Baltimore) 2019;98e18380.
4. Rubin LG, Levin MJ, Ljungman P, Davies EG, Avery R, Tomblyn M, et al. 2013 IDSA clinical practice guideline for vaccination of the immunocompromised host. Clin Infect Dis 2014;58:e44–100.
5. Kroger A, Bahta L, Long S, Sanchez P. General best practice guidelines for immunization [Internet]. U.S. Centers for Disease Control and Prevention; 2023. [cited 2024 Nov 11]. Available from: https://www.cdc.gov/vaccines/hcp/acip-recs/general-recs/downloads/general-recs.pdf.
6. National Comprehensive Cancer Network. Prevention and treatment of cancer-related infections (version 3.2024) [Internet]. National Comprehensive Cancer Network; 2024. [cited 2024 Nov 11]. Available from: https://www.nccn.org/professionals/physician_gls/pdf/infections.pdf.
7. Kamboj M, Bohlke K, Baptiste DM, Dunleavy K, Fueger A, Jones L, et al. Vaccination of adults with cancer: ASCO guideline. J Clin Oncol 2024;42:1699–721.
8. Choi W, Kim JG, Beom SH, Hwang JE, Shim HJ, Cho SH, et al. Immunogenicity and optimal timing of 13-valent pneumococcal conjugate vaccination during adjuvant chemotherapy in gastric and colorectal cancer: a randomized controlled trial. Cancer Res Treat 2020;52:246–53.
9. Romaru J, Bahuaud M, Lejeune G, Hentzien M, Berger JL, Robbins A, et al. Single-dose 13-valent conjugate pneumococcal vaccine in people living with HIV - immunological response and protection. Front Immunol 2021;12:791147.
10. Song JY, Cheong HJ, Noh JY, Choi MJ, Yoon JG, Kim WJ. Immunogenicity and safety of 13-valent pneumococcal conjugate vaccine in HIV-infected adults in the era of highly active antiretroviral therapy: analysis stratified by CD4 T-cell count. Hum Vaccin Immunother 2020;16:169–75.
11. Bahuaud M, Bodilis H, Malphettes M, Maugard Landre A, Matondo C, Bouscary D, et al. Immunogenicity and persistence of the 13-valent pneumococcal conjugate vaccine (PCV13) in patients with untreated Smoldering Multiple Myeloma (SMM): a pilot study. Heliyon 2017;3e00441.
12. Lombardi F, Belmonti S, Fabbiani M, Morandi M, Rossetti B, Tordini G, et al. Immunogenicity and safety of the 13-valent pneumococcal conjugate vaccine versus the 23-valent polysaccharide vaccine in unvaccinated HIV-infected adults: a pilot, prospective controlled study. PLoS One 2016;11e0156523.
13. Robbins A, Bahuaud M, Hentzien M, Maestraggi Q, Barbe C, Giusti D, et al. The 13-valent pneumococcal conjugate vaccine elicits serological response and lasting protection in selected patients with primary humoral immunodeficiency. Front Immunol 2021;12:697128.
14. Sadlier C, O’Dea S, Bennett K, Dunne J, Conlon N, Bergin C. Immunological efficacy of pneumococcal vaccine strategies in HIV-infected adults: a randomized clinical trial. Sci Rep 2016;6:32076.
15. Jackson LA, Gurtman A, van Cleeff M, Jansen KU, Jayawardene D, Devlin C, et al. Immunogenicity and safety of a 13-valent pneumococcal conjugate vaccine compared to a 23-valent pneumococcal polysaccharide vaccine in pneumococcal vaccine-naive adults. Vaccine 2013;31:3577–84.
16. Frenck RW Jr, Fiquet A, Gurtman A, van Cleeff M, Davis M, Rubino J, et al. Immunogenicity and safety of a second administration of 13-valent pneumococcal conjugate vaccine 5 years after initial vaccination in adults 50 years and older. Vaccine 2016;34:3454–62.
17. Song JY, Moseley MA, Burton RL, Nahm MH. Pneumococcal vaccine and opsonic pneumococcal antibody. J Infect Chemother 2013;19:412–25.
18. LaFon DC, Nahm MH. Measuring immune responses to pneumococcal vaccines. J Immunol Methods 2018;461:37–43.

Article information Continued

Fig. 1.

Seroprotection (A) and seroconversion (B) rates of arms A and B at 1 month, 3 years, and 5 years after the PCV13 vaccination.

Table 1.

Patients’ characteristics (n=63)

Characteristic Arm A (n=29) Arm B (n=34) p-value
Age (yr) 58.3 (33.2-69.6) 58.9 (29.1-78.9) 0.210
Sex
 Male (n=35) 14 (22.2) 21 (33.3) 0.283
 Female (n=28) 15 (23.8) 13 (20.6)
ECOG PS
 0 (n=15) 9 (14.3) 6 (9.5) 0.214
 1 (n=48) 20 (31.7) 28 (44.4)
Stage
 I (n=1) 0 1 (1.6) > 0.99
 II (n=21) 10 (15.9) 11 (17.5)
 III (n=39) 18 (28.6) 21 (33.3)
 IV (n=2) 1 (1.6) 1 (1.6)
Type of cancer
 Colorectal cancer (n=52) 21 (33.3) 31 (49.2) 0.093
 Gastric cancer (n=11) 8 (12.7) 3 (4.8)
Chemotherapeutic regimen
 Fluoropyrimidine (n=15) 0.247
  5-Fluorouracil 1 (1.6) 0
  Capecitabine 6 (9.5) 6 (9.5)
  Tegafur/Gimeracil/Oteracil 2 (3.2) 0
 Fluoropyrimidine+oxaliplatin (n=48)
  FOLFOX 6 (9.5) 13 (20.6)
  CAPEOX 14 (22.2) 15 (23.8)

Values are presented as median (range) or number (%). CAPEOX, capecitabine and oxaliplatin; ECOG PS, Eastern Cooperative Oncology Group performance status; FOLFOX, fluorouracil, leucovorin, and oxaliplatin.

Table 2.

Serial changes of GMTs of MOPA

Serotype Arm Pre-vaccination (n=62)
1 Month (n=62)
3 Years (n=59)
5 Years (n=51)
GMT 95% CI p-value GMT 95% CI p-value GMT 95% CI p-value GMT 95% CI p-value
5 A 6 4-10 0.258 408 165-1,011 0.862 103 39-272 0.544 72 28-188 0.587
B 4 3-6 369 183-746 72 36-143 53 30-94
6B A 667 214-2,082 0.960 8,555 5,186-14,113 0.381 3,297 1,763-6,164 0.576 2,713 1,148-6,412 0.912
B 644 295-1,406 10,930 8,317-14,363 4,102 2,581-6,519 2,866 1,720-4,777
18C A 115 57-234 0.996 4,672 2,814-7,758 0.716 1,082 564-2,074 0.720 936 425-2,062 0.740
B 115 51-257 5,422 2,999-9,804 1,293 647-2,582 774 353-1,696
19A A 535 235-1,216 0.364 7,690 3,874-15,264 0.998 2,018 984-4,142 0.864 1,860 812-4,260 0.692
B 344 203-583 7,696 5,511-10,747 2,176 1,318-3,592 1,522 862-2,688

CI, confidence interval; GMT, geometric mean titer; MOPA, multiplex opsonophagocytosis assay.

Table 3.

Serial changes of fold increase of MOPA: fold increase in post-vaccination GMTs

Serotype Arm 1 Month (n=62)
3 Years (n=58)
5 Years (n=50)
Geometric mean fold increase 95% CI p-value Geometric mean fold increase 95% CI p-value Geometric mean fold increase 95% CI p-value
5 A 67.8 1.8-2,513.0 0.617 19.1 0.3-1,148.4 0.894 17.2 0.2-1,715.8 0.898
B 90.4 5.1-1,608.6 17.7 0.7-480.3 16.0 0.6-418.3
6B A 12.8 0.8-196.1 0.665 7.1 0.5-104.8 0.920 4.2 0.2-76.3 0.896
B 17.0 2.7-105.0 6.7 0.7-62.7 4.0 0.5-34.4
18C A 40.6 15.7-104.5 0.808 11.3 3.3-38.7 0.945 11.1 1.4-88.7 0.927
B 47.2 21.6-103.0 11.8 3.3-42.2 10.4 1.6-68.7
19A A 14.4 0.4-546.9 0.316 4.8 0.1-246.8 0.615 4.2 0.0-745.5 0.640
B 22.4 1.0-522.9 6.1 0.1-306.8 5.5 0.0-715.8

CI, confidence interval; GMT, geometric mean titer; MOPA, multiplex opsonophagocytosis assay.

Table 4.

GMCs of specific IgG titers

Serotype Arm Pre-vaccination
1 Month
3 Years
5 Years
GMC 95% CI p-value GMC 95% CI p-value GMC 95% CI p-value GMC 95% CI p-value
1 A 2.24 1.68-2.98 0.340 5.63 3.97-7.99 0.178 0.59 0.45-0.78 0.329 0.65 0.49-0.86 0.663
B 1.79 1.28-2.52 8.11 5.55-11.84 0.70 0.57-0.87 0.60 0.47-0.76
3 A 0.85 0.64-1.14 0.487 0.43 0.31-0.59 0.935 0.35 0.27-0.45 0.402 0.28 0.23-0.35 0.510
B 0.75 0.60-0.94 0.44 0.34-0.57 0.40 0.32-0.50 0.31 0.26-0.37
4 A 0.61 0.47-0.80 0.633 1.46 0.94-2.26 0.041 1.50 1.07-2.10 0.978 1.27 0.84-1.91 0.610
B 0.57 0.47-0.69 2.49 1.96-3.15 1.49 1.20-1.84 1.11 0.85-1.45
5 A 0.56 0.42-0.74 0.536 1.47 0.98-2.20 0.177 3.98 2.56-6.20 0.661 3.78 2.43-5.86 0.735
B 0.49 0.37-0.65 2.10 1.53-2.87 4.48 3.34-6.01 3.47 2.78-4.35
6A A 1.34 0.93-1.92 0.681 4.23 2.76-6.49 0.919 5.09 3.50-7.42 0.493 4.74 3.41-6.59 0.923
B 1.20 0.85-1.70 4.08 2.46-6.78 5.93 4.79-7.34 4.85 3.85-6.11
6B A 1.16 0.75-1.79 0.826 5.77 3.56-9.34 0.382 2.56 1.55-4.23 0.797 2.16 1.35-3.45 0.529
B 1.09 0.73-1.62 7.60 5.14-11.24 2.77 2.02-3.80 1.78 1.24-2.57
7F A 1.87 1.34-2.60 0.727 7.01 4.80-10.24 0.197 2.73 1.95-3.81 0.361 2.42 1.64-3.55 0.515
B 2.04 1.43-2.90 9.42 7.38-12.01 3.35 2.54-4.42 2.04 1.48-2.81
9V A 1.95 1.36-2.79 0.421 7.12 4.87-10.39 0.078 6.07 4.28-8.61 0.814 5.60 3.91-8.04 0.698
B 2.38 1.74-3.25 10.41 8.53-12.69 6.36 5.09-7.95 5.16 4.17-6.39
14 A 13.15 9.46-18.28 0.502 27.70 18.72-41.00 0.865 4.44 3.29-6.00 0.716 4.06 3.04-5.44 0.749
B 11.35 8.62-14.95 28.87 22.24-37.48 4.81 3.65-6.33 3.80 2.81-5.13
18C A 4.71 3.86-5.73 0.137 15.62 11.72-20.81 0.269 3.56 2.77-4.58 0.528 2.94 2.10-4.10 0.947
B 3.86 3.25-4.58 19.37 15.10-24.85 3.95 3.23-4.84 2.99 2.27-3.95
19A A 10.38 8.03-13.42 0.662 29.76 19.34-45.79 0.253 4.15 2.98-5.78 0.519 3.41 2.25-5.16 0.867
B 9.61 7.57-12.19 42.70 27.60-66.06 4.81 3.59-6.43 3.57 2.62-4.85
19F A 1.05 0.80-1.37 0.683 3.60 2.41-5.38 0.272 5.31 3.54-7.97 0.766 4.93 3.14-7.75 0.411
B 0.97 0.74-1.26 4.91 3.40-7.09 5.76 4.04-8.21 3.85 2.67-5.57
23F A 0.88 0.60-1.28 0.747 2.75 1.71-4.41 0.150 2.30 1.56-3.39 0.401 2.07 1.44-2.97 0.831
B 0.96 0.68-1.34 4.21 3.02-5.86 2.82 2.13-3.73 2.17 1.64-2.88

CI, confidence interval; GMC, geometric mean concentration.

Table 5.

Global protection and global response by specific IgG titers

Arm A Arm B p-value
Global protection
 Pre-vaccination 22/24 (91.7) 26/27 (96.3) 0.595
 1 month 23/24 (95.8) 27/27 (100) 0.471
 3 years 24/26 (92.3) 33/33 (100) 0.190
 5 years 24/26 (92.3) 27/27 (100) 0.236
Global response
 1 month 19/24 (79.2) 25/27 (92.6) 0.232
 3 years 12/22 (54.5) 20/26 (76.9) 0.131
 5 years 12/21 (57.1) 11/20 (55.0) > 0.99

Values are presented as number (%).

Table 6.

Factors associated with global protection and global response

Variable Pre-vaccination
1 Month
3 Years
5 Years
OR 95% CI p-value OR 95% CI p-value OR 95% CI p-value OR 95% CI p-value
Factors associated with global protection
 Arm B 2.12 0.16 to 27.22 0.566 > 999.99 < 0.01 to > 999.99 0.998 > 999.99 < 0.01 to > 999.99 0.995 > 999.99 < 0.01 to > 999.99 0.995
 Age ≥ 65 years > 999.99 < 0.01 to > 999.99 0.999 1.75 < 0.01 to > 999.99 > 0.99 < 0.01 < 0.01 to > 999.99 0.996 < 0.01 < 0.01 to > 999.99 0.996
 Female 0.64 0.05 to 8.38 0.735 > 999.99 < 0.01 to > 999.99 0.998 > 999.99 < 0.01 to > 999.99 0.996 > 999.99 < 0.01 to > 999.99 0.996
 Gastric (vs. CRC) > 999.99 < 0.01 to > 999.99 0.999 0.43 < 0.01 to > 999.99 > 0.99 0.66 < 0.01 to > 999.99 > 0.99 > 999.99 < 0.01 to > 999.99 > 0.99
 ECOG PS 1 (vs. 0) < 0.01 < 0.01 to > 999.99 0.999 < 0.01 < 0.01 to > 999.99 0.999 < 0.01 < 0.01 to > 999.99 0.999 < 0.01 < 0.01 to > 999.99 0.999
 Higher stage (vs. I-II) 0.55 0.04 to 8.29 0.666 < 0.01 < 0.01 to > 999.99 0.998 < 0.01 < 0.01 to > 999.99 0.998 < 0.01 < 0.01 to > 999.99 0.998
 Doublet chemotherapy 2.24 0.14 to 34.81 0.565 < 0.01 < 0.01 to > 999.99 0.998 < 0.01 < 0.01 to > 999.99 0.998 < 0.01 < 0.01 to > 999.99 > 0.99
Factors associated with global response
 Arm B - - - 3.92 0.56 to 27.26 0.168 2.79 0.80 to 9.60 0.106 0.82 0.20 to 3.30 0.778
 Age ≥ 65 years - - - > 999.99 < 0.01 to > 999.99 0.999 0.49 0.07 to 3.39 0.472 1.96 0.29 to 13.42 0.495
 Female - - - 3.12 0.41 to 23.91 0.275 1.26 0.27 to 5.98 0.769 0.84 0.20 to 3.55 0.815
 Gastric (vs. CRC) - - - 3.17 0.11 to 91.06 0.501 > 999.99 < 0.01 to > 999.99 0.999 1.40 0.10 to 19.89 0.804
 ECOG PS 1 (vs. 0) - - - 1.75 0.10 to 32.16 0.706 0.76 0.04 to 14.88 0.856 0.54 0.05 to 6.45 0.625
 Higher stage (vs. I-II) - - - 0.72 0.10 to 5.14 0.739 1.40 0.30 to 6.57 0.671 0.37 0.09 to 1.56 0.174
 Doublet chemotherapy - - - 0.47 0.40 to 5.46 0.546 0.10 0.01 to 1.12 0.062 1.43 0.21 to 9.80 0.714

CI, confidence interval; CRC, colorectal cancer; ECOG PS, Eastern Cooperative Oncology Group performance status; OR, odds ratio.