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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Am J Clin Oncol. 2018 Mar;41(3):248–253. doi: 10.1097/COC.0000000000000257

Immunogenicity of influenza vaccination in patients with cancer

Saiama N Waqar 1, Leigh Boehmer 2, Daniel Morgensztern 1, Andrea Wang-Gillam 1, Steven Sorscher 3, Steven Lawrence 4, Feng Gao 5, Kalin Guebert 1, Kristina Williams 1, Ramaswamy Govindan 1
PMCID: PMC4907877  NIHMSID: NIHMS738082  PMID: 26669741

Abstract

Background

Influenza leads to significant morbidity and mortality in patients with cancer. Patients with cancer receiving chemotherapy may not mount an adequate immune response to the vaccine. We performed this pilot study to evaluate the immunogenicity of influenza vaccination in patients with cancer receiving chemotherapy.

Methods

During the 2011-2012 influenza season, patients undergoing chemotherapy for solid tumors were given trivalent inactivated influenza vaccine either on the day of chemotherapy (schedule A) or a week prior to chemotherapy (schedule B) via a single 0.5 mL injection in the deltoid muscle region. This was not a randomized trial. Hemagglutination inhibition assays were performed on blood samples from these patients taken at baseline, and 4 weeks post-vaccination. Seroconversion rate (greater than 4-fold increase in titres) and seroprotection rates (post-vaccination titres of >1:40) were calculated for each vaccine component: influenza A (H1N1), A (H3N2) and B.

Results

A total of 18 patients received influenza vaccination as part of this pilot study. Of these, 8 patients received the vaccine on schedule A and 10 patients received the vaccine on schedule B. Geometric mean titres (GMT) against each strain significantly improved post vaccination for both groups, as measured by Signed-Rank test. Seroconversion to at least 1 strain was observed in 75% of patients on schedule A, and 70% in patients vaccinated on schedule B. Seroprotection to at least 1 strain was observed in 100% of patients in the schedule A group, and 60% of patients vaccinated on schedule B. Seroconversion and seroprotection rates against the three influenza strains were not significantly different between the two groups.

Conclusion

Patients with non-hematological malignancies who are receiving chemotherapy mount an immune response to influenza vaccination. Timing of influenza vaccination in relation to chemotherapy does not appear to matter.

Introduction

Influenza infection is a significant cause of morbidity and mortality, affecting 5-10% of the population of the United States annually, and accounts for an annual mortality rate of 22.2 per 100,000 individuals.1 It is responsible for 226,000 hospitalizations each year, and an annual economic burden of $87.1 billion.2 People over the age of 65 and those who are immunosuppressed, particularly those with cancer, are especially susceptible.3 Cancer is a disease of the elderly, with the median age at diagnosis being 67 years per statistics reported by Surveillance Epidemiology and End Results (SEER). Influenza infection leads to delays and interruption of chemotherapy and may necessitate hospitalization.3,4

Trivalent inactivated influenza vaccine (IIV3) is the most common vaccine formulation administered.2 Memory B and T-cells are formed in the setting of vaccination, which allows the adaptive immune system to respond when challenged with pathogen exposure, in a process that can take up to 2 weeks for healthy patients.5 Prospective studies demonstrate the inactivated influenza vaccine to have 70-90% efficacy in preventing influenza infection in healthy young adults when a good match exists between the vaccine and epidemic virus.6 The trivalent vaccine is almost universally well tolerated. Transient symptoms may include, but are not limited to, local muscle soreness, myalgias, arthralgias, and fever.7 Hemagglutination inhibition is the universally accepted assay for quantifying serological response to the vaccine in the research setting.

Response to vaccination relies on an intact immune system that can produce antibodies in response to antigen exposure. Individuals with cancer, however, often have immune deficiencies as a result of their disease and/or immunosuppressive therapies.3 Misconceptions among both patients and physicians about the benefits of the vaccine in these patients, including concern about safety and side-effect profiles, may hinder timely administration of the vaccine.3 There is prospective evidence to suggest that fewer than 50% of adult patients with cancer undergoing chemotherapy receive the influenza vaccination.8,9

The optimal timing for administration of influenza vaccination in patients with cancer receiving chemotherapy is not clear. Although myelosuppression from chemotherapy is transient, it is unknown whether there would be any long-term effect on lymphoid cells. Newer data investigating humoral responses to influenza vaccination in patients with lymphoma treated with rituximab suggest that therapies which deplete B cells impair patients' ability to achieve protective immunity.10 It is possible, but unproven, that cumulative effects from repeated cycles of cytotoxic chemotherapy may dampen the response to influenza vaccination. Also, steroid use as premedication around the time of chemotherapy may dampen the immune response, and vaccinating in between chemotherapy cycles may be a better approach. Understanding the appropriate timing of the influenza vaccination in relation to chemotherapy would facilitate optimal protection of patients with cancer from the morbidity and mortality associated with influenza infection in patients with cancer.

The very few studies that have evaluated seroprotection in response to influenza vaccination in patients with cancer were conducted several years ago.11-14 There have been significant changes in the types and schedules of cytotoxic chemotherapy regimens used in the treatment of cancer over the past two decades. We believe that only a prospective randomized study can systematically address the efficacy of influenza vaccination in patients with cancer using modern day chemotherapy regimens, and the optimal timing of administration of influenza vaccine in relation to chemotherapy. We therefore performed this pilot study to determine the optimal timing of seasonal influenza vaccination with regard to chemotherapy administration schedule, to provide preliminary data for an adequately powered randomized prospective study.

Materials and Methods

Study participants

Adult patients (age ≥ 18 years) with non-hematological malignancies receiving cytotoxic chemotherapy in the oncology outpatient clinics at the Alvin J. Siteman Cancer Center, St. Louis, Missouri were invited to participate in this study, during the 2011-2012 influenza season. Institutional review board approval was obtained and subjects provided written informed consent for vaccination and for blood collection for hemagglutination inhibition (HI) assays at baseline and 4 weeks post-vaccination. Patients were eligible if they were receiving cytotoxic chemotherapy either on an every 2 week or 3 week schedule, and individuals receiving weekly chemotherapy were excluded, as were patients receiving radiation therapy. Patients receiving immunotherapy, history of immunosuppression, history of human immunodeficiency virus (HIV) or organ transplantation, chronic steroid therapy (≥ 14 days, though steroids used as part of chemotherapy regimen were allowed) and individuals with absolute lymphocyte count (ALC) less than 1.0 K/cumm were excluded. Patients were also excluded if they had already received the influenza vaccine during that season, or had contra-indications to influenza vaccination such as allergic reaction to influenza vaccine or egg allergies, history of Guillian-Barre syndrome. Patients with active infection or history of influenza-like illness defined as temperature > 37.8°C with cough or sore throat during the present influenza season were excluded.

Study design

The 2011-2012 seasonal influenza vaccine formulation contained A/California/7/2009 (H1N1-like virus); A/Perth/16/2009 (H3N2-like virus); and B/Brisbane/60-2008-like antigens. Seasonal trivalent influenza vaccine was administered as a single 0.5mL intramuscular injection, in the deltoid muscle region. Patients alternated between Schedule A (influenza vaccination on Day 1 of chemotherapy) or schedule B (influenza vaccination one week before chemotherapy). A 10mL blood sample was obtained in a red top tube (without additives) from participants at baseline (prior to vaccination) and 4 weeks post-vaccination at the time of a regular follow-up visit.

Immunogenicity assessment

The samples were sent to Saint Louis Center for Vaccine Development, St. Louis, Missouri. Prevaccination susceptibility and post-vaccination serological responses were assessed by hemagglutination inhibition (HI) assay. Seroprotection (HI antibody titers post-vaccination ≥ 1:40) and seroconversion (a fourfold rise in titers from prior to vaccination) were used as measures of protective immunity. Reciprocal HI titers of ≥40 were considered protective, corresponding to an approximately 50% decrease in influenza infection risk. Geometric mean titres (GMT) for the HI assay at baseline and at 4 weeks were also calculated.

Statistical analysis

As a pilot study, the data analysis was descriptive in nature. Demographic and clinical characteristics of the sample were summarized using descriptive statistics. The differences in seroprotection rates and seroprotection rates between the two groups were summarized using contingency tables and compared by Fisher's exact test. The changes in the HI assay from baseline to 4 weeks as well as the differences between groups were also compared using non-parametric Signed-Rank test and Mann-Whitney Rank-sum test respectively. All the analyses were performed using SAS 9.2 (SAS Institutes, Cary, NC).

Results

Demographics

A total of 42 patients with solid tumors scheduled to receive chemotherapy were consented for this study between September 29, 2011 and November 14, 2011. We excluded 14 patients due to low ALC, one patient was ineligible due to chronic steroid use, an additional patient was ineligible due to chemotherapy being delayed for non-protocol reasons, and two patients withdrew consent. An additional 5 patients were excluded from this study as paired blood samples (baseline and 4 weeks post-vaccination) were not available. This left 18 patients who met all eligibility criteria, were registered to the study and included in the final analysis for this study. Eight patients were vaccinated on schedule A, while 10 patients were vaccinated on schedule B. Baseline and 4 weeks post-vaccination blood samples were collected from all 18 participants. Table 1 describes the demographics of the study subjects. The median age of participants was 56.8 years (range 42.5 to 70.6 years), most were of Caucasian race (13/18) and half of the participants were of male gender (9/18). Seven participants had pancreatic cancer, one had liver cancer, 5 had colorectal cancer, 4 had lung cancer, and 1 patient had sarcoma. All patients enrolled in this study had received prior chemotherapy, with a median of 3 cycles of prior chemotherapy (range 1-12 cycles). Table 1 describes the specific chemotherapy regimens they had received.

Table 1. Demographics.

Patient number Primary cancer site Gender Race Age (years) Chemotherapy regimen Number of Cycles Previously Received Vaccine timing in relation to chemotherapy
1 Small Cell Lung Cancer Female Caucasian 68 Irinotecan 4 Week before
2 Small Cell Lung Cancer Female Caucasian 70 Carboplatin + Etoposide 1 Week before
3 Non Small Cell Lung Cancer Male Caucasian 69 Pemetrexed 8 Same day
4 Non Small Cell Lung Cancer Female Caucasian 53 Carboplatin + Pemetrexed 3 Week before
5 Sarcoma Male Caucasian 65 Adriamycin + Palifosfamide 4 Same day
6 Liver Female Caucasian 60 Cisplatin + Gemcitabine 8 Week before
7 Pancreas Male Caucasian 54 Carboplatin + Etoposide 1 Week before
8 Colorectal Male Caucasian 48 FOLFOX + Avastin 11 Same day
9 Colon Female African American 49 FOLFIRI 1 Same day
10 Colorectal Female African American 53 FOLFOX 12 Same day
11 Rectum Male African American 42 FOLFOX 2 Same day
12 Rectum Male Caucasian 61 FOLFOX 7 Week before
13 Pancreas Male Caucasian 54 capecitabine + irinotecan + oxaliplatin 3 Same day
14 Pancreas Male Caucasian 64 gemcitabine + erlotinib 2 Same day
15 Pancreas Female Caucasian 68 Gemcitabine + oxaliplatin 2 Week before
16 Pancreas Female Caucasian 56 5 FU+Oxaliplatin 3 Week before
17 Pancreas Male African American 51 Gemcitabine 2 Week before
18 Pancreas Female African American 57 Gemcitabine 9 Week before

Overall Immunogenicity of influenza vaccine

Seroconversion against the H1N1, H3N2 and B strains was observed in 55.5% (10/18), 61.1% (11/18) and 50% (9/18) of patients, respectively. Prior to vaccination, 33.3% (6/18) patients demonstrated seroprotection against any 1 strain, but none of them showed seroprotection to 2 or more strains. Specifically, 0% (0/18), 11.1% (2/18) and 22.2% (4/18) of patients had seroprotective antibody titres (≥1:40) against H1N1, H3N2 and B respectively. Following vaccination, seroprotective antibody titres were observed, respectively, in 33.3% (6/18), 44.4% (8/18) and 50% (9/18) of patients against H1N1, H3N2 and B.

Immunogenicity in relation to timing of chemotherapy

Seroconversion to at least 1 strain was observed in 75% (6/8) of patients vaccinated on schedule A, and 70% (7/10) of patients vaccinated on schedule B. Seroconversion to all 3 strains was observed in only 25% (2/8) and 40% (4/10) of patients, respectively. Seroconversion against H1N1, H3N2 and B strains was observed in 63% (5/8), 50% (4/8) and 38% (3/8) of participants vaccinated on schedule A, and 50% (5/10), 70% (7/10) and 60% (6/10) on schedule B (table 2). There was no statistically significant difference in seroconversion rates among patients vaccinated on the two schedules for any of the 3 influenza virus strains, based on the Fisher's exact test.

Table 2. Seroconversion Rate (greater than 4 fold increase in titres).
Influenza Strain Schedule A (n=8) Schedule B (n=10) P Value (based on Fisher exact test)

A (H1N1) 5 (63%) 5 (50%) P=0.664
A (H3N2) 4 (50%) 7 (70%) P=0.631
B 3 (38%) 6 (60%) P=0.637
>4-fold increase in any strain 6 (75%) 7 (70%) P>0.99
>4-fold increase in ≥2 strains 4 (50%) 7 (70%) P=0.631
>4-fold increase in all 3 strains 2 (25%) 4 (40%) P=0.638

Seroprotection rates were also assessed for groups A and B. All of the patients (8/8) vaccinated on schedule A demonstrated seroprotection to at least 1 strain, compared to 60% (60%) of patients vaccinated on schedule B. Seroprotection rates were 50% for all 3 strains in the schedule A group, and in the schedule B group they were 20% (2/10), 40% (4/10) and 50% (5/10) for strains H1N1, H3N2 and B respectively (see table 3). Geometric mean titres against each strain did significantly improve in patients in both groups following influenza vaccination, based on the Signed-rank test (table 4). However, no significant difference was found in post-vaccination geometric mean titres between Schedules A and B after adjusting the pre-vaccination titres, based on Mann-Whitney U tests (table 3).

Table 3. Seroprotection Rate(post vaccination titre > 1:40).
Influenza Strain Schedule A (n=8) Schedule B (n=10) P-value*

Baseline 4 weeks Baseline 4 weeks

A (H1N1) 0 (0%) 4 (50%) 0 (0%) 2 (20%) P=0.335
A (H3N2) 2 (25%) 4 (50%) 0 (0%) 4 (40%) P=0.523
B 2 (25%) 4 (50%) 2 (20%) 5 (50%) P=0.751
>1:40 in any strain 4 (50%) 8 (100%) 2 (20%) 6 (60%)
>1:40 in ≥2 strains 0 (0%) 4 (50%) 0 (0%) 3 (30%)
>1:40 in all 3 strains 0 (0%) 0 (0%) 0 (0%) 2 (20%)
*

based on Mann-Whitney U tests for fold-change in titres between Schedules A and B

Table 4. Geometric mean titres (GMT) and standard deviations (SD).
Influenza strain Schedule A (n=8) Schedule B (n=10)

GMT at baseline GMT at 4 weeks Difference in paired titres* (p-value) GMT at baseline GMT at 4 weeks Difference in paired titres* (p-value)

A (H1N1) 12.3±23.3 53.8±212.6 0.031 10.6±17.1 26.0±73.2 0.016
A (H3N2) 14.7±45.8 64.0±308.2 0.063 9.2±12.3 39.4±93.8 0.004
B 17.4±41.4 69.8±342.6 0.031 14.9±42.9 45.3±122.3 0.016
*

based on Signed-Rank tests

Discussion

Our study demonstrates that patients with solid tumors undergoing chemotherapy respond to trivalent influenza vaccination when receiving modern day cytotoxic chemotherapy regimens. Previous studies date back to the 1970s, and included both patients with hematologic malignancies and solid tumors (table 5).4,11,15,16 They also differed in respect to time points at which titres were drawn, and most looked at the primary endpoint of seroconversion only.

Table 5. Studies describing serologic response to influenza vaccination in patients with solid tumors.

Author and year of publication Setting Patient population N of patients Influenza season Time point titres drawn post-vaccination Seroconversion Seroprotection Timing in relation to chemotherapy

Ortbals 19774 St.Louis, MO, USA Lymphoreticular neoplasms
Solid tumors
Controls
21
21
96
Not mentioned Baseline, 2 weeks and 4 weeks 67% to A/NJ/76
76% to A/NJ/76
90% to A/NJ/76
Not assessed Randomized to vaccine on same day as chemotherapy, or a week before

Stiver 197715 Canada Lymphoreticular
Solid (13 had breast cancer)
Controls
19
16
27
1975 2-8 weeks 31.8% for H3N236.4% for B
74% for H3N293% for B
Not assessed Not assessed

Ganz 197816 Los Angeles, CA, USA Solid tumors and lymphomas
Controls
17
15
1976 2 weeks and 4 weeks 41-47% for each strain
67% for each strain
Not assessed Not assessed

Shildt 197911 Fort Sam Houston, TX, USA Solid tumors and lymphoma, including 22 patients with solid tumors receiving chemotherapy 3 and 9 weeks 41-59% for each strain at 3 weeks 32-86% for each strain at 3 weeks Not assessed, included patients on treatment (chemotherapy or radiation) versus those off

Anderson 199912 UK Lung cancer, only 14 had received chemotherapy in the preceding month 59 1996 4-6 weeks Not assessed 83% Not assessed

Brydak 200013 Poland Breast cancer
Controls
9
19
1998-1999 Baseline and 1 month 88.8% to one or more strain
100% to one or more strain
44.4% – 88.9% for each strain
63.2% - 94.7% for each strain
Not assessed

Kim 201314 Korea Colorectal cancer 40 2009-2011 1-2 months 26.3% - 52.6% for each strain 42.1%-94.7% for each strain Not assessed

Loulergue 201117 France Breast cancer
prostate cancer
18
12
2008-2009 21 days 16-28% for each strain Not assessed All on day 1 of chemotherapy

Seroprotection is a more clinically important endpoint than seroconversion, since even if a patient responds to the vaccine with a 4 fold increase in titres that may still not result in seroprotection (titres of 1:40) if the immune response is not as robust. Seroprotection with titres of 1:40 is generally held as the objective measure of protection against the influenza virus. Anderson and colleagues examined the seroprotection rates in 59 patients with lung cancer who received influenza vaccination, and found a seroprotection rate of 83%.12 However, only 14 of the patients enrolled on this study had received chemotherapy in the previous month, and therefore these results cannot be generalized to patients receiving chemotherapy.

Our study is unique in several regards. First it specifically examined the immunogenicity of influenza vaccination in patients with non-hematologic solid tumors who are receiving chemotherapy, while previous studies also included patients with cancer that were not receiving chemotherapy, patients with chronic steroid use and patients with low ALC who may not mount a sufficient immune response. Second, endpoints included seroprotection, which may be more clinically meaningful. Finally, this study examines the question of whether timing of vaccination in regards to chemotherapy administration impacts vaccination response. The only other study that has examined timing of vaccination was performed by Ortbals and colleagues at our institution almost 4 decades ago and demonstrated superior seroconversion rates in patients vaccinated in between chemotherapy cycles, rather than on day 1 of chemotherapy.4 Their study included patients with both hematologic and non-hematologic malignancies, over a quarter of whom had absolute lymphocyte counts less than 500 cells/mm3. In addition, 30% of these patients were receiving systemic corticosteroids. We purposefully excluded patients with other confounding factors such as absolute lymphocyte count less than 1000 cells/mm3 and immunosuppression from steroids to specifically address the impact of chemotherapy. Our study did not corroborate the findings of improved response to vaccination in patients vaccinated between chemotherapy cycles, possibly due to differences in the study population.

Limitations of our study include a small sample size, which makes it difficult to generalize the findings to all solid tumors, since none of the participants had cancers of the breast, genitourinary tract, central nervous system and melanoma. Furthermore, not all modern chemotherapy regimens in use were represented. Nevertheless, this study serves as pilot data for the design of an adequately powered prospective study, with patients stratified by cancer type and types of chemotherapy regimens.

Timing of influenza vaccination in relation to chemotherapy for these two time points studied does not appear to change the seroconversion and seroprotection rates. Regardless of timing in relation to chemotherapy, patients did mount an immune response to the vaccine. Given the significant morbidity and mortality posed by influenza infection in patients with cancer, the best defense is prevention via vaccination. This should universally be offered promptly to all patients with no contraindication.

Conclusion

Patients with non-hematological malignancies who are receiving chemotherapy mount an immune response to influenza vaccination. Timing of influenza vaccination in relation to chemotherapy does not appear to matter.

Acknowledgments

This work was made possible by Grant Numbers 1K12CA167540 and KL2 TR000450 through the National Cancer Institute (NCI) at the National Institutes of Health (NIH), and Grant Number UL1 TR000448 through the Clinical and Translational Science Award (CTSA) program of the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NCI, NCATS or NIH. The authors also wish to acknowledge the support of the Biostatistics Core, Siteman Cancer Center and NCI Cancer Center Support Grant P30 CA091842. We would like to acknowledge Dr. Tanya Wildes, Dr. Brian VanTine and Dr. Maria Baggstrom for enrolling participants on this study. We would also like to acknowledge Dr. Robert Belshe and his staff at Saint Louis Center for Vaccine Development for performing the hemagglutination assays.

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