Introduction: Patients with the head and neck squamous cell carcinoma (SCC) are often treated with immune checkpoint inhibitors (ICIs). Recently, antibiotic intake was reported to lower the efficacy of ICIs in patients with several types of cancers. However, it is unclear if antibiotics affect the efficacy of ICIs in patients with head and neck SCC. We retrospectively assessed the influence of antibiotics on the treatment efficacy of nivolumab, an ICI, in patients with head and neck SCC. Methods: We reviewed the medical records of patients with head and neck SCC treated with nivolumab at the Department of Medical Oncology, Tohoku University Hospital, between 2017 and 2021. Patients who received oral or intravenous antibiotics from a month before the day of nivolumab initiation to the day of the first imaging evaluation of ICI efficacy were assigned to the antibiotic-treated group. The remaining patients were assigned to the antibiotic-untreated group. The response rate (RR), progression-free survival (PFS), and overall survival time (OS) of both groups were compared. Results: Forty-five patients were assigned to the antibiotic-treated group and 19 to the antibiotic-untreated group. The RR, median PFS, and median OS of the antibiotic-treated group were 23.7%, 3.2 months (95% confidential interval [CI]: 2.0–4.1), and 8.4 months (95% CI: 5.3–15.1) and those of the antibiotic-untreated group were 42.1%, 5.8 months (95% CI: 2.3–16.7), and 18.4 months (95% CI: 6.2–23.1), respectively. The PFS of the antibiotic-untreated group was significantly longer than that of the antibiotic-treated group. Conclusion: Our findings indicate that antibiotic treatment significantly shortens the PFS with nivolumab therapy in patients with head and neck SCC.

Immune checkpoint inhibitors (ICIs) have been approved for the treatment of several types of cancer and have demonstrated potential treatment efficacy [1‒5]. Head and neck squamous cell carcinoma (SCC) is a cancer that is diagnosed in over 700,000 patients worldwide, and the number of patients with head and neck SCC is increasing every year [6]. Early-stage head and neck SCC is generally treated with chemoradiation therapy, which can decrease the 5-year mortality of patients by 6.5% (hazard ration for mortality: 0.83) [7]. In particular, in the case of local lesions with head and neck SCC, there are many cases in which a complete response to chemoradiation therapy can be achieved [8]. However, head and neck SCC with distant metastases or recurrence after radiotherapy cannot be treated with re-irradiation and is generally treated with systemic chemotherapy [9]. Nivolumab is an ICI approved for patients with head and neck SCC. Patients with head and neck SCC treated with nivolumab were found to have a longer overall survival time (OS) than those treated with methotrexate, docetaxel, or cetuximab [10]. In addition, nivolumab had demonstrated a longer time to deterioration of the quality of life than single agents such as methotrexate, docetaxel, or cetuximab in patients with platinum-refractory recurrent or metastatic head and neck SCC [11]. Based on these previous reports, nivolumab is considered the standard of care for patients with platinum-refractory recurrent or metastatic head and neck SCC.

It was recently reported that antibiotics can reduce the treatment efficacy of nivolumab in several types of cancers (lung cancer, renal cancer, and melanoma) [12‒15]. Head and neck SCC patients are often treated with antibiotics for various reasons, such as infection, myelosuppression due to chemotherapy, prevention of acne-like eruptions with anti-epidermal growth factor receptor antibody, and so on [16, 17]. Therefore, in head and neck SCC patients, the treatment efficacy of ICI might be reduced by antibiotic treatment. However, few studies have evaluated the effects of antibiotics on the treatment efficacy of nivolumab in patients with head and neck SCC. In this study, we retrospectively assessed the influence of antibiotics on the treatment efficacy of nivolumab in patients with head and neck SCC.

Patients

We reviewed the medical records of patients with unresectable advanced or recurrent head and neck SCC treated with nivolumab at the Department of Medical Oncology, Tohoku University Hospital, between April 2017 to January 2021.

The inclusion criteria were as follows:

  • 1.

    Patients who underwent histopathological diagnosis of head and neck SCC were included. Patients diagnosed with cancer of unknown primary were also included (SCC proven on histopathological examination cervical lymph node tissue). The primary site of SCC included oral cavity (tongue, gingiva, and floor of the mouth), nasal cavity, paranasal sinus, pharynx, larynx, and head and neck skin.

  • 2.

    Receiving at least one course of systemic chemotherapy with nivolumab at the Department of Medical Oncology, Tohoku University Hospital.

Groups

The patients were classified into the following two groups based on history of antibiotic treatment.

Antibiotic-treated group: patients who received oral or intravenous antibiotics between a month before the day of nivolumab initiation and the day of the first computed tomography (CT) evaluation of nivolumab efficacy.

Antibiotic-untreated group: patients who did not meet the eligibility criteria for the antibiotic-treated group.

Treatment Methods

The ICI used to treat the included patients was nivolumab. It was administered at a dose of 240 mg/body/day every 2 weeks or 480 mg/body/day every 4 weeks. All antibiotics were treated to enrolled patients according to the medical package insert.

Evaluation

Treatment response was assessed using the Response Criteria in Solid Tumor version 1.1. Response rate (RR) was calculated as follows:

(Total number of patients exhibiting a complete response [CR] and partial response [PR])/(Total number of patients with CR, PR, stable disease (SD), and progressive disease [PD]).

Disease control rate (DCR) was calculated as follows:

(Total number of patients with CR, PR, and SD)/(Total number of patients with CR, PR, SD, and PD).

Progression-free survival time (PFS) was defined as the duration from the day of nivolumab initiation to the day of imaging confirmation of disease progression or clinical confirmation of PD. OS was defined as the duration from the day of nivolumab initiation to the day of patient death. Neutrophil to lymphocyte ratio (NLR) was defined as the value of the neutrophil count divided by the lymphocyte count. Adverse events were determined by reviewing patient’s medical records and were evaluated according to the Common Terminology Criteria for Adverse Events version 5.0.

Statistical Analyses

The PFS and the OS were analyzed using the Kaplan-Meier methods. The p values for intergroup differences in RR and DCR were calculated through Fisher’s exact test, and those for intergroup differences in patient age were calculated through a t test. All statistical analyses (including univariate and multivariate analyses) were performed using JMP® 11 (SAS Institute Inc., Cary, NC, USA), and all differences were regarded as statistically significant when p < 0.05.

Patient Characteristics

Sixty-four patients were enrolled in this study. The patient background is presented in Table 1. Forty-five patients were assigned to the antibiotic-treated group and 19 to the antibiotic-untreated group. More than 80% of patients in both groups were male. The most common primary site of SCC in the present study was the oral cavity, followed by the hypopharynx, oropharynx, and larynx. Approximately 90% of patients enrolled in the present study had 0 or 1 of performance status. The most common antibiotics taken by patients in the antibiotic-treated group were tetracyclines, followed by cephems, penicillins, and quinolones. The reasons for the antibiotic use were treatment for infections in 21 patients (46.7% in the antibiotic-treated group), prevention of acne-like eruption during the treatment with anti-epidermal growth factor receptor antibody in 18 patients (40.0% in the antibiotic-treated group), and prevention of infections in 6 patients (13.3% in the antibiotic-treated group). The median duration of antibiotic treatment was 21.5 days (range 3–113 days). The number of patients treated with nivolumab as the first, second, or third- or later-line therapy was 4 (8.9%), 34 (75.6%), and 7 (15.6%), respectively, in the antibiotic-treated group and 8 (42.1%), 6 (31.6%), and 5 (26.3%), respectively, in the antibiotic-untreated group. The percentage of patients who received nivolumab as the first line therapy in the antibiotic-untreated group was significantly higher than that in the antibiotic-treated group. Conversely, the percentage of patients treated with nivolumab as the second-line therapy in the antibiotic-treated group was significantly higher than that in the antibiotic-untreated group.

Table 1.

Patient’s characteristics

Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Sex, n (%)   0.8314 
 Male 39 (86.7) 16 (84.2)  
 Female 6 (13.3) 3 (15.8)  
Mean age (range) 66 (28–83) 73 (19–81) 0.2215 
Primary site, n (%)    
 Oral cavity 17 (37.8) 11 (57.9) 0.1729 
 Hypopharynx 10 (22.2) 2 (10.5) 0.2558 
 Oropharynx 7 (15.6) 3 (15.8) 0.9819 
 Larynx 3 (6.7) 3 (15.8) 0.2709 
 Upper pharynx 3 (6.7) 0 (0.0) 0.2424 
 Head and neck skin 2 (4.4) 0 (0.0) 0.3437 
 Cancer of unknown primary 1 (2.2) 0 (0.0) 0.5064 
 Nasal cavity 1 (2.2) 0 (0.0) 0.5064 
ECOG performance status, n (%) 
 0 14 (31.1) 6 (31.6) 0.9718 
 1 25 (55.6) 11 (57.9) 0.961 
 >2 6 (13.3) 2 (10.5) 0.7277 
Antibiotics, n (%) 
 Tetracycline 22 (48.9)  
 Cephem 16 (35.6)  
 Penicillin 11 (24.4)  
 Quinolone 10 (22.2)  
Treatment line of nivolumab, n (%) 
 1st line 4 (8.9) 8 (42.1) 0.0024 
 2nd line 34 (75.6) 6 (31.6) 0.0008 
 >3rd line 7 (15.6) 5 (26.3) 0.3437 
Prior chemotherapy to nivolumab, n (%) 
  Cmab+FP 24 (53.3) 8 (42.1) 0.4118 
  Cmab+FC 14 (31.1) 3 (15.8) 0.2048 
  Cmab+PTX 2 (4.4) 0 (0.0) 0.3505 
  DCF 1 (2.2) 0 (0.0) 0.5125 
Post chemotherapy to nivolumab 
  PTX 11 (24.4) 0 (0.0) 0.0179 
  Cmab+PTX 6 (13.3) 3 (15.8) 0.7962 
  S-1 2 (4.4) 1 (5.3) 0.8874 
  DTX 1 (2.2) 0 (0.0) 0.5125 
Neutrophil-to-lymphocyte ratio, n (%) 
 >4 33 (73.3) 13 (68.4) 0.1167 
 ≤4 12 (26.7) 6 (31.6) 0.1652 
Reasons of antibiotics use, n (%) 
 Treatment for infections 21 (46.7)   
 Prevention of acne-like eruption 18 (40.0)   
 Prevention of infections 6 (13.3)   
Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Sex, n (%)   0.8314 
 Male 39 (86.7) 16 (84.2)  
 Female 6 (13.3) 3 (15.8)  
Mean age (range) 66 (28–83) 73 (19–81) 0.2215 
Primary site, n (%)    
 Oral cavity 17 (37.8) 11 (57.9) 0.1729 
 Hypopharynx 10 (22.2) 2 (10.5) 0.2558 
 Oropharynx 7 (15.6) 3 (15.8) 0.9819 
 Larynx 3 (6.7) 3 (15.8) 0.2709 
 Upper pharynx 3 (6.7) 0 (0.0) 0.2424 
 Head and neck skin 2 (4.4) 0 (0.0) 0.3437 
 Cancer of unknown primary 1 (2.2) 0 (0.0) 0.5064 
 Nasal cavity 1 (2.2) 0 (0.0) 0.5064 
ECOG performance status, n (%) 
 0 14 (31.1) 6 (31.6) 0.9718 
 1 25 (55.6) 11 (57.9) 0.961 
 >2 6 (13.3) 2 (10.5) 0.7277 
Antibiotics, n (%) 
 Tetracycline 22 (48.9)  
 Cephem 16 (35.6)  
 Penicillin 11 (24.4)  
 Quinolone 10 (22.2)  
Treatment line of nivolumab, n (%) 
 1st line 4 (8.9) 8 (42.1) 0.0024 
 2nd line 34 (75.6) 6 (31.6) 0.0008 
 >3rd line 7 (15.6) 5 (26.3) 0.3437 
Prior chemotherapy to nivolumab, n (%) 
  Cmab+FP 24 (53.3) 8 (42.1) 0.4118 
  Cmab+FC 14 (31.1) 3 (15.8) 0.2048 
  Cmab+PTX 2 (4.4) 0 (0.0) 0.3505 
  DCF 1 (2.2) 0 (0.0) 0.5125 
Post chemotherapy to nivolumab 
  PTX 11 (24.4) 0 (0.0) 0.0179 
  Cmab+PTX 6 (13.3) 3 (15.8) 0.7962 
  S-1 2 (4.4) 1 (5.3) 0.8874 
  DTX 1 (2.2) 0 (0.0) 0.5125 
Neutrophil-to-lymphocyte ratio, n (%) 
 >4 33 (73.3) 13 (68.4) 0.1167 
 ≤4 12 (26.7) 6 (31.6) 0.1652 
Reasons of antibiotics use, n (%) 
 Treatment for infections 21 (46.7)   
 Prevention of acne-like eruption 18 (40.0)   
 Prevention of infections 6 (13.3)   

ECOG, Eastern Cooperative Oncology Group; Cmab, cetuximab; FP, 5FU plus cisplatin combination therapy; FC, 5FU plus carboplatin combination therapy; PTX, paclitaxel; DCF, docetaxel plus cisplatin plus 5FU combination therapy; DTX, docetaxel.

The percentage of patients treated with paclitaxel after nivolumab therapy in the antibiotic-treated group (24.4%) was significantly higher than that in the antibiotic-untreated group (0.0%) (p = 0.0179). Approximately 70% of patients in both groups had a neutrophil-to-lymphocyte ratio >4.

Nivolumab Efficacy

The RR and DCR of the two groups are presented in Table 2. The RR in the antibiotic-treated group and antibiotic-untreated group was 23.7% and 42.1%, respectively. Thera was no significant difference between two groups (p = 0.1518). The DCR in the antibiotic-treated group and antibiotic-untreated group was 63.2% and 73.7%, respectively. There was no significant difference between two groups (p = 0.4268). The median PFS and median OS are presented in Figures 1a, b. The median PFS and median OS of the antibiotic-treated group were 3.2 months (95% confidential interval [CI]: 2.0–4.1) and 5.8 months (95% CI: 2.3–16.7), respectively. The median PFS and median OS of the antibiotic-untreated group were 8.4 months (95% CI: 5.3–15.1) and 18.4 months (95% CI: 6.2–23.1), respectively. The PFS rate in the antibiotic-untreated group was significantly higher than that in the antibiotic-treated group (p = 0.021, log-rank test). There was no significant difference in the OS rate between two groups (p = 0.36, log-rank test).

Table 2.

Response to nivolumab

Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Complete response  
Partial response  
Stable disease 15  
Progression disease 14  
Not evaluated  
RR, % 23.7 42.1 0.1518 
Disease control rate, % 63.2 73.7 0.4268 
Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Complete response  
Partial response  
Stable disease 15  
Progression disease 14  
Not evaluated  
RR, % 23.7 42.1 0.1518 
Disease control rate, % 63.2 73.7 0.4268 
Fig. 1.

a Kaplan-Meier curve for PFS in the antibiotic-treated and untreated groups. b Kaplan-Meier curve for OS in the antibiotic-treated and untreated groups. PFS, progression-free survival; OS, overall survival; CI, confidence interval.

Fig. 1.

a Kaplan-Meier curve for PFS in the antibiotic-treated and untreated groups. b Kaplan-Meier curve for OS in the antibiotic-treated and untreated groups. PFS, progression-free survival; OS, overall survival; CI, confidence interval.

Close modal

Adverse Events

The severe (≥ grade 3) adverse events observed among the included patients are presented in Table 3. We observed 2 cases of elevated aspartate aminotransferase or alanine aminotransferase levels and one case of hypercalcemia in the antibiotic-treated group. There was no patient in whom the sever elevation of aspartate aminotransferase or alanine aminotransferase levels in the antibiotics-untreated group. The incidence rate of sever elevation of aspartate aminotransferase or alanine aminotransferase levels was not statistically significant between two groups. Further, we observed one case of hypercalcemia in the antibiotics-treated group and 1 case of hyponatremia in the antibiotic-untreated group. The hypercalcemia was not observed in the antibiotics-untreated group and the hyponatremia was not observed in the antibiotics-treated group, respectively. There was no significant difference in the occurrence rate of sever hypercalcemia and hyponatremia between the two groups.

Table 3.

Sever (≥ grade 3) adverse events

Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Elevation of AST or ALT 2 (4.4) 0 (0.0) 0.3559 
Hypercalcemia 1 (2.2) 0 (0.0) 0.517 
Hyponatremia 0 (0.0) 1 (5.0) 0.1169 
Antibiotics-treated group (n = 45)Antibiotics-untreated group (n = 19)p value
Elevation of AST or ALT 2 (4.4) 0 (0.0) 0.3559 
Hypercalcemia 1 (2.2) 0 (0.0) 0.517 
Hyponatremia 0 (0.0) 1 (5.0) 0.1169 

AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Results of the Univariate and Multivariate Analyses

We performed univariate and the multivariate analyses of the PFS and OS. The results of the univariate and the multivariate analyses are presented in Table 4. An Eastern Cooperative Oncology Group performance status (ECOG) PS of 0 or 1 and an NLR ≤4 were associated with a longer PFS. Conversely, a history of antibiotic treatment was associated with a shorter PFS. An ECOG PS of 0 or 1 and NLR ≤4 were associated with a longer OS. A history of antibiotic treatment was not associated with the OS of the participants. Patient sex, age, and the ICI treatment line were not associated with the PFS or OS in the participants in this study.

Table 4.

Univariate and multivariate analyses for PFS and OS

ParameterUnivariate analysisMultivariate analysis
hazard ratiop valuehazard ratiop value
PFS 
 Sex 
  Male 0.606 (0.293–1.254) 0.1775 0.485 (0.220–1.070) 0.073 
  Female 1.647 (0.797–3.404)  2.060 (0.935–4.541)  
 ECOG PS 
  0 or 1 0.263 (0.114–0.605) 0.0017 0.166 (0.064–0.428) 0.0002 
  ≥2 3.799 (1.652–8.732)  6.015 (2.332–15.511)  
 Age 
  >70 0.874 (0.516–1.481) 0.6179 0.592 (0.330–1.059) 0.0776 
  ≤70 1.143 (0.675–1.937)  1.691 (0.943–3.028)  
 Treatment line of ICI 
  1st 0.688 (0.335–1.415) 0.3102 0.922 (0.411–2.07) 0.8442 
  ≥2nd 1.451 (0.707–2.981)  1.084 (0.483–2.435)  
 History of antibiotic treatment 
  Yes 2.046 (1.096–3.823) 0.0247 2.18 (1.117–4.256) 0.025 
  No 0.489 (0.262–0.913)  0.459 (0.235–0.896)  
 NLR 
  >4 1.856 (1.025–2.689) 0.0357 1.898 (1.178–2.762) 0.0456 
  ≤4 0.448 (0.248–0.897)  0.458 (0.219–0.954)  
OS 
 Sex 
  Male 0.454 (0.208–1.165) 0.065 0.584 (0.159–1.094) 0.073 
  Female 2.201 (0.915–3.115)  3.160 (0.915–4.271)  
 ECOG PS 
  0 or 1 0.25 (0.095–0.662) 0.0053 0.182a (0.06–0.553) 0.0026 
  ≥2 3.997 (1.51–10.575)  5.483 (1.81–16.612)  
 Age 
  >70 0.926 (0.493–1.741) 0.8124 0.692 (0.343–1.40) 0.3068 
  ≤70 1.079 (0.574–2.029)  1.443 (0.714–2.916)  
 Treatment line of ICI 
  1st 0.532 (0.207–1.37) 0.191 0.438 (0.151–1.273) 0.1295 
  ≥2nd 1.879 (0.729–4.841)  2.284 (0.785–6.642)  
 History of antibiotic treatment 
  Yes 1.399 (0.679–2.878) 0.3616 1.267 (0.589–2.725) 0.5455 
  No 0.714 (0.347–1.471)  0.789 (0.367–1.698)  
 NLR 
  >4 1.962 (1.156–2.715) 0.0487 1.887 (1.102–2.695) 0.0498 
  ≤4 0.415 (0.2223–0.984)  0.515 (0.214–0.894)  
ParameterUnivariate analysisMultivariate analysis
hazard ratiop valuehazard ratiop value
PFS 
 Sex 
  Male 0.606 (0.293–1.254) 0.1775 0.485 (0.220–1.070) 0.073 
  Female 1.647 (0.797–3.404)  2.060 (0.935–4.541)  
 ECOG PS 
  0 or 1 0.263 (0.114–0.605) 0.0017 0.166 (0.064–0.428) 0.0002 
  ≥2 3.799 (1.652–8.732)  6.015 (2.332–15.511)  
 Age 
  >70 0.874 (0.516–1.481) 0.6179 0.592 (0.330–1.059) 0.0776 
  ≤70 1.143 (0.675–1.937)  1.691 (0.943–3.028)  
 Treatment line of ICI 
  1st 0.688 (0.335–1.415) 0.3102 0.922 (0.411–2.07) 0.8442 
  ≥2nd 1.451 (0.707–2.981)  1.084 (0.483–2.435)  
 History of antibiotic treatment 
  Yes 2.046 (1.096–3.823) 0.0247 2.18 (1.117–4.256) 0.025 
  No 0.489 (0.262–0.913)  0.459 (0.235–0.896)  
 NLR 
  >4 1.856 (1.025–2.689) 0.0357 1.898 (1.178–2.762) 0.0456 
  ≤4 0.448 (0.248–0.897)  0.458 (0.219–0.954)  
OS 
 Sex 
  Male 0.454 (0.208–1.165) 0.065 0.584 (0.159–1.094) 0.073 
  Female 2.201 (0.915–3.115)  3.160 (0.915–4.271)  
 ECOG PS 
  0 or 1 0.25 (0.095–0.662) 0.0053 0.182a (0.06–0.553) 0.0026 
  ≥2 3.997 (1.51–10.575)  5.483 (1.81–16.612)  
 Age 
  >70 0.926 (0.493–1.741) 0.8124 0.692 (0.343–1.40) 0.3068 
  ≤70 1.079 (0.574–2.029)  1.443 (0.714–2.916)  
 Treatment line of ICI 
  1st 0.532 (0.207–1.37) 0.191 0.438 (0.151–1.273) 0.1295 
  ≥2nd 1.879 (0.729–4.841)  2.284 (0.785–6.642)  
 History of antibiotic treatment 
  Yes 1.399 (0.679–2.878) 0.3616 1.267 (0.589–2.725) 0.5455 
  No 0.714 (0.347–1.471)  0.789 (0.367–1.698)  
 NLR 
  >4 1.962 (1.156–2.715) 0.0487 1.887 (1.102–2.695) 0.0498 
  ≤4 0.415 (0.2223–0.984)  0.515 (0.214–0.894)  

PFS, progression-free survival; ECOG PS, Eastern Cooperative Oncology Group Performance Status; ICI, immune checkpoint inhibitor; NLR, neutrophil-to-lymphocyte ratio;

OS, overall survival.

We retrospectively assessed the influence of antibiotic treatment on the efficacy of an ICI in patients with head and neck SCC. The PFS rate of the antibiotic-treated group in the present study was significantly lower than that of the antibiotic-untreated group (Fig. 1a). Although there was no significant difference, the RR in the antibiotic-treated group was lower than that in the antibiotic-untreated group (p = 0.1518) (Table 2). These findings indicate that antibiotic intake reduces the treatment efficacy of nivolumab in patients with head and neck SCC.

The negative impact of antibiotic treatment on the efficacy of ICIs has been extensively reported in several types of cancers [12, 15, 18‒20]. These previous reports showed that antibiotic intake was associated with a shorter PFS or OS or worse RR in patients with non-small lung cancer, melanoma, and renal cell cancer undergoing ICI therapy. Of these studies, 1 study included patients with head and neck SCC [20]; however, these patients comprised only 2% of the study population [20]. Therefore, it remains unclear if antibiotics influence the treatment efficacy of ICIs in patients with head and neck SCC. The present findings indicate the negative effects of antibiotic intake on the treatment efficacy of nivolumab in patients with head and neck SCC.

It has been reported that the alteration of fecal microbiota may affect the efficacy of ICIs in cholangiocarcinoma patients [21]. Antibiotics are well known to induce intestinal dysbiosis [22, 23]. Furthermore, it has been reported that the alteration of intratumoral microbiota influences the treatment efficacy of gemcitabine, one of the cytotoxic anticancer drugs [24]. Several retrospective data had shown the effect of antibiotics on the treatment efficacy of gemcitabine [25, 26]. The detailed mechanisms on how the antibiotics influence the treatment efficacy of ICI or the anticancer drugs is not yet clear. However, from these previous reports, the alteration of gut microbiota or the intratumor microbiota by the treatment of antibiotics might be an explanation for the negative effect of antibiotics on the treatment efficacy of chemotherapy.

There was no significant difference in the OS of the two groups in the present study. This may be attributed to a significantly high percentage of patients who underwent chemotherapy with paclitaxel following treatment with nivolumab in the antibiotic-treated group as compared to that in the antibiotic-untreated group (11 patients [24.4%] in the antibiotic-treated group vs. 0 patients (0.0%) in the antibiotic-untreated group). A detailed analysis of these 11 cases in the antibiotic-treated group indicated that the RR and median OS following paclitaxel treatment were 63.6% and 10.9 months, respectively (data not shown). A previous observational study reported that administering paclitaxel after nivolumab demonstrated a RR of 70% [27]. Consistent with the findings of this previous study [27], we observed a high RR to treatment with paclitaxel after nivolumab in the present study. The median OS of these 11 patients may have prolonged the median OS of the antibiotic-treated group and reduced the difference in the median OS of both groups.

ECOG PS ≥2 and high NLR have been reported as negative predictive factors for both PFS and OS, following nivolumab treatment for head and neck cancer [28, 29]. The univariate and the multivariate analyses performed in the present study (Table 4) revealed that an ECOG PS ≥2 and NLR >4 were independent negative predictive factors for both short PFS and short OS, which is consistent with previous findings.

As expected, antibiotic treatment was significantly correlated with a short PFS in the present study (Table 4; univariate analysis, p = 0.0247; multivariate analysis, p = 0.025), indicating that antibiotics reduced the PFS with nivolumab therapy. However, interestingly, antibiotic intake was not correlated with a short OS (Table 4; univariate analysis, p = 0.3616; multivariate analysis, p = 0.5455). Previous studies have reported that the use of antibiotics decreased the OS of ICI treatment in several types of cancer [30, 31]. On the other hand, there were also previous reports that the antibiotic use did not change the OS of ICI treatment in several types of cancer, such as the present study [32, 33]. Therefore, it is considered controversial whether antibiotics use worsens the OS by ICI treatment. Further studies are needed to clarify this point.

The present study had several limitations. First, it was a retrospective study with a small number of patients. Second, it did not include data on the combined positive score. A high combined positive score correlates with a high RR, long PFS, and long OS with ICI treatment [34]. This may be a reason why no significant difference in the RR or OS was observed between two groups in this study. Third, the patients in the antibiotic-treated group were treated with multiple types of antibiotics. The fluoroquinolone, one of the antibiotics, has been reported to worsen the prognosis of lung cancer or melanoma patients who were treated with ICI [30, 35]. Only 10 patients were treated with quinolone in this study. This number is too small for statistical analysis to assess the negative effect of quinolone on ICI treatment. Nevertheless, our study suggests that antibiotic use may significantly reduce the PFS associated with nivolumab therapy in patients with head and neck SCC. Multicenter studies with large sample sizes are needed to validate the current findings and to determine the influence of antibiotics on the efficacy of nivolumab by antibiotic type.

This study protocol was reviewed and approved by the Ethics Committee of Tohoku University Hospital, approval number: 2023-1-169. The Ethics Committee of Tohoku University Hospital waived the need for written informed consent of the participants for this retrospective study. Consent was obtained through an opt-out system. All data in the current study had no personal identifiers and were kept confidential.

Chikashi Ishioka received research funding from the Tokyo Cooperative Oncology Group. Chikashi Ishioka has also received contributions from Chugai Pharmaceutical; Novartis Pharma K.K.; Ono Pharmaceutical; MSD; Pfizer; AstraZeneca; Bristol-Myers Squibb; Kyowa Kirin Co., Ltd.; Janssen Pharmaceutical; Taiho Pharmaceutical; Daiichi Sankyo Company, Limited; Takeda Pharmaceutical; Merck Biopharma Co., Ltd.; Eli Lilly Japan K.K; Bayer Yakuhin, Ltd; and Incyte Biosciences Japan G.K. Chikashi Ishioka is a representative of the Tohoku Clinical Oncology Research and Education Society, a nonprofit organization. The authors report no other conflicts of interest in this work.

This study is not funding by any sponsor.

Reio Ueta and Hiroo Imai designed this retrospective study and drafted the manuscript. Chikashi Ishioka is the corresponding author and contributed to data analysis and interpretation and manuscript preparation. All other authors (Ken Saijo, Yoshifumi Kawamura, Shuto Kodera, Keigo Komine, Kota Ouchi, Yuki Kasahara, Sakura Taniguchi, Yuya Yoshida, Keiju Sasaki, Hidekazu Shirota, Masanobu Takahashi) contributed to data collection and interpretation and critical review of the manuscript. All authors (Reio Ueta, Hiroo Imai, Chikashi Ishioka, Ken Saijo, Yoshifumi Kawamura, Shuto Kodera, Keigo Komine, Kota Ouchi, Yuki Kasahara, Sakura Taniguchi, Yuya Yoshida, Keiju Sasaki, Hidekazu Shirota, Masanobu Takahashi) had served as attending physicians of enrolled patients, have read and approved the final version of the manuscript, and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

1.
Passaro A, Brahmer J, Antonia S, Mok T, Peters S. Managing resistance to immune checkpoint inhibitors in lung cancer: treatment and novel strategies. J Clin Oncol. 2022;40(6):598–610.
2.
Carlino MS, Larkin J, Long GV. Immune checkpoint inhibitors in melanoma. Lancet. 2021;398(10304):1002–14.
3.
Braun DA, Bakouny Z, Hirsch L, Flippot R, Van Allen EM, Wu CJ, et al. Beyond conventional immune-checkpoint inhibition - novel immunotherapies for renal cell carcinoma. Nat Rev Clin Oncol. 2021;18(4):199–214.
4.
Joshi SS, Badgwell BD. Current treatment and recent progress in gastric cancer. CA Cancer J Clin. 2021;71(3):264–79.
5.
Shiravand Y, Khodadadi F, Kashani SMA, Hosseini-Fard SR, Hosseini S, Sadeghirad H, et al. Immune checkpoint inhibitors in cancer therapy. Curr Oncol. 2022;29(5):3044–60.
6.
Homma A, Onimaru R, Matsuura K, Robbins KT, Fujii M. Intra-arterial chemoradiotherapy for head and neck cancer. Jpn J Clin Oncol. 2016;46(1):4–12.
7.
Chow LQM. Head and neck cancer. N Engl J Med. 2020;382(1):60–72.
8.
Patel SA, Gibson MK, Deal A, Sheth S, Heiling H, Johnson SM, et al. A phase 2 study of neoadjuvant chemotherapy plus durvalumab in resectable locally advanced head and neck squamous cell carcinoma. Cancer. 2023.
9.
Rajendra A, Noronha V, Joshi A, Patil VM, Menon N, Prabhash K. Palliative chemotherapy in head and neck cancer: balancing between beneficial and adverse effects. Expert Rev Anticancer Ther. 2020;20(1):17–29.
10.
Ferris RL, Blumenschein GJr., Fayette J, Guigay J, Colevas AD, Licitra L, et al. Nivolumab for recurrent squamous-cell carcinoma of the head and neck. N Engl J Med. 2016;375(19):1856–67.
11.
Harrington KJ, Ferris RL, Blumenschein GJr, Colevas AD, Fayette J, Licitra L, et al. Nivolumab versus standard, single-agent therapy of investigator's choice in recurrent or metastatic squamous cell carcinoma of the head and neck (CheckMate 141): health-related quality-of-life results from a randomised, phase 3 trial. Lancet Oncol. 2017;18(8):1104–15.
12.
Derosa L, Hellmann MD, Spaziano M, Halpenny D, Fidelle M, Rizvi H, et al. Negative association of antibiotics on clinical activity of immune checkpoint inhibitors in patients with advanced renal cell and non-small-cell lung cancer. Ann Oncol. 2018;29(6):1437–44.
13.
Kaderbhai C, Richard C, Fumet JD, Aarnink A, Foucher P, Coudert B, et al. Antibiotic use does not appear to influence response to nivolumab. Anticancer Res. 2017;37(6):3195–200.
14.
Luo Z, Hao S, Li Y, Cheng L, Zhou X, Gunes EG, et al. The negative effect of antibiotics on RCC patients with immunotherapy: a systematic review and meta-analysis. Front Immunol. 2022;13:1065004.
15.
Tinsley N, Zhou C, Tan G, Rack S, Lorigan P, Blackhall F, et al. Cumulative antibiotic use significantly decreases efficacy of checkpoint inhibitors in patients with advanced cancer. Oncologist. 2020;25(1):55–63.
16.
Hu Y, Yan A, Jiang F. Effect of Clindamycin compared with Ampicillin-Sulbactam as prophylactic antibiotics for wound infections following major surgery for head and neck cancer: a meta-analysis. Int Wound J. 2023.
17.
Scope A, Agero AL, Dusza SW, Myskowski PL, Lieb JA, Saltz L, et al. Randomized double-blind trial of prophylactic oral minocycline and topical tazarotene for cetuximab-associated acne-like eruption. J Clin Oncol. 2007;25(34):5390–6.
18.
Pinato DJ, Howlett S, Ottaviani D, Urus H, Patel A, Mineo T, et al. Association of prior antibiotic treatment with survival and response to immune checkpoint inhibitor therapy in patients with cancer. JAMA Oncol. 2019;5(12):1774–8.
19.
Castello A, Rossi S, Toschi L, Lopci E. Impact of antibiotic therapy and metabolic parameters in non-small cell lung cancer patients receiving checkpoint inhibitors. J Clin Med. 2021;10(6):1251.
20.
Eng L, Sutradhar R, Niu Y, Liu N, Liu Y, Kaliwal Y, et al. Impact of antibiotic exposure before immune checkpoint inhibitor treatment on overall survival in older adults with cancer: a population-based study. J Clin Oncol. 2023;41(17):Jco2200074.
21.
Huang Q, Wang F, Zhang X, Liu J, Dou X, Feng R, et al. Percutaneous transhepatic cholangial drainage or antibiotic therapy worsens response to immunotherapy in advanced cholangiocarcinoma. BMC cancer. 2023;23(1):657.
22.
Duan H, Yu L, Tian F, Zhai Q, Fan L, Chen W. Antibiotic-induced gut dysbiosis and barrier disruption and the potential protective strategies. Crit Rev Food Sci Nutr. 2022;62(6):1427–52.
23.
Routy B, Le Chatelier E, Derosa L, Duong CPM, Alou MT, Daillère R, et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science. 2018;359(6371):91–7.
24.
Geller LT, Barzily-Rokni M, Danino T, Jonas OH, Shental N, Nejman D, et al. Potential role of intratumor bacteria in mediating tumor resistance to the chemotherapeutic drug gemcitabine. Science. 2017;357(6356):1156–60.
25.
Imai H, Saijo K, Komine K, Ueta R, Numakura R, Wakayama S, et al. Antibiotic treatment improves the efficacy of oxaliplatin-based therapy as first-line chemotherapy for patients with advanced gastric cancer: a retrospective study. Cancer Manag Res. 2022;14:1259–66.
26.
Mohindroo C, Hasanov M, Rogers JE, Dong W, Prakash LR, Baydogan S, et al. Antibiotic use influences outcomes in advanced pancreatic adenocarcinoma patients. Cancer Med. 2021;10(15):5041–50.
27.
Sato Y, Fukuda N, Fujiwara YU, Wang X, Urasaki T, Ohmoto A, et al. Efficacy of paclitaxel-based chemotherapy after progression on nivolumab for head and neck cancer. In Vivo. 2021;35(2):1211–5.
28.
Hanai N, Shimizu Y, Kariya S, Yasumatsu R, Yokota T, Fujii T, et al. Effectiveness and safety of nivolumab in patients with head and neck cancer in Japanese real-world clinical practice: a multicenter retrospective clinical study. Int J Clin Oncol. 2021;26(3):494–506.
29.
Iwasa YI, Yokota Y, Kitoh R, Mori K, Tsukada K, Sekiguchi N, et al. Factors affecting nivolumab therapy outcome in patients with head and neck cancer: a single-center analysis. Oncology. 2022;100(4):203–11.
30.
Martinez-Mugica Barbosa C, Cercós Lletí AC, Pampín Sánchez R, Durán Román C, Terroba Alonso P, Fernández González B. Impact of the use of antibiotics on the clinical response to immune checkpoint inhibitors in patients with non-small cell lung cancer. Rev Esp Quimioter. 2022;35(6):551–8.
31.
Cheung KS, Lam LK, Seto WK, Leung WK. Use of antibiotics during immune checkpoint inhibitor treatment is associated with lower survival in hepatocellular carcinoma. Liver cancer. 2021;10(6):606–14.
32.
Serpas Higbie V, Rogers J, Hwang H, Qiao W, Xiao L, Dasari A, et al. Antibiotic exposure does not impact immune checkpoint blockade response in MSI-H/dMMR metastatic colorectal cancer: a single-center experience. Oncologist. 2022;27(11):952–7.
33.
Kato T, Fujita K, Minami T, Nagahara A, Hyashi Y, Nakata W, et al. Real-world efficacy and safety of nivolumab plus ipilimumab in untreated metastatic renal cell carcinoma, and the impact of previous nephrectomy on clinical outcome: Japanese multi-institutional retrospective study. Int J Clin Oncol. 2022;27(10):1596–604.
34.
Janjigian YY, Shitara K, Moehler M, Garrido M, Salman P, Shen L, et al. First-line nivolumab plus chemotherapy versus chemotherapy alone for advanced gastric, gastro-oesophageal junction, and oesophageal adenocarcinoma (CheckMate 649): a randomised, open-label, phase 3 trial. Lancet. 2021;398(10294):27–40.
35.
Eng L, Sutradhar R, Niu Y, Liu N, Liu Y, Kaliwal Y, et al. Impact of antibiotic exposure before immune checkpoint inhibitor treatment on overall survival in older adults with cancer: a population-based study. J Clin Oncol. 2023;41(17):3122–34.