A Cross-Sectional Survey of Oral Adverse Events and Oral Management Needs in Outpatients Receiving Cancer Drug Therapy
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
MASCC | Multinational Association of Supportive Care in Cancer |
ISOO | International Society of Oral Oncology |
PRO-CTCAE | Patient-Reported Outcome Common Terminology Criteria for Adverse Events |
5-FU | 5-fluorouracil |
PTX | Paclitaxel |
DTX | Docetaxel |
DXR | Doxorubicin |
ICIs | Immune checkpoint inhibitors |
CPA | Cyclophosphamide |
GEM | Gemcitabine |
L-OHP | Oxaliplatin |
CPT-11 | Irinotecan |
CDDP | Cisplatin |
EGFR | Epidermal growth factor receptor |
References
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Q 1. | What type of oral adverse events do you have? |
1. Mucositis. 2. Tongue coating. 3. Dysgeusia. 4. Xerostomia. 5. Stickiness of saliva. 6. Numbness around the mouth. 7. Oral pain. 8. Oral discomfort. 8. None. | |
Q 2. | Do you want to improve the oral adverse events? |
1. Yes. 2. No. | |
Q 3. | Do the oral symptoms cause problems in your quality of life? |
1. Yes. 2. No. | |
Q 4. | What issues have become a problem in your quality of life? |
1. Reduced food intake. 2. Increased food intake. 3. Drinking too much. 4. Drinking not much. 5. Difficulty swallowing. 6. Sleeplessness. 7. Impaired speech. 8. None. | |
Q 5. | Do you want medication or a treatment method for oral adverse events? |
1. Yes. 2. No. | |
Q 6. | Do you want dentist intervention to improve your oral adverse events? |
1. Yes. 2. No | |
Q 7. | How severe are the oral adverse events compared with non-oral adverse events? |
1. More severe. 2. similar. 3. Not as severe. |
Patient Characteristics | n | % | |
---|---|---|---|
Sex | Male | 108 | 50.0% |
Female | 108 | 50.0% | |
Age group (years old) | AYA (18–39) | 8 | 3.7% |
Middle-aged (40–69) | 122 | 56.5% | |
Old-aged (≥70) | 86 | 39.8% | |
Cancer type | Breast cancer | 52 | 24.1% |
Lung cancer | 45 | 20.8% | |
Gastrointestinal cancer | 37 | 17.1% | |
Liver, biliary tract, pancreatic cancer | 18 | 8.3% | |
Urological cancer | 17 | 7.9% | |
Gynecological cancer | 14 | 6.5% | |
Hematological cancer | 12 | 5.6% | |
Head and neck cancer | 7 | 3.2% | |
Soft tissue sarcoma | 3 | 1.4% | |
Others | 11 | 5.1% | |
Cancer drug therapy | ICIs (Atezolizumab, Durvalumab, Pembrolizumab, Nivolumab, Avelumab) | 67 | 31.0% |
Taxane-based (DTX, PTX, nab-PTX, CBZ) | 49 | 22.7% | |
5FU-based (5FU, TS-1, Cape) | 33 | 15.3% | |
Anthracycline-based | 8 | 3.7% | |
CDDP-based | 4 | 1.9% | |
EGFR antibodies (Cet, Pani) | 3 | 1.4% | |
Others | 52 | 24.1% |
With | Without | Multivariate Analysis | |||||
---|---|---|---|---|---|---|---|
n | N (%) | N (%) | OR | 95% CI | p-Value | ||
216 | 127 (58.8) | 89 (41.2) | |||||
Sex | Male | 109 | 54 (49.5) | 55 (50.5) | |||
Female | 107 | 73 (68.2) | 34 (31.8) | 1.14 | 0.48–2.70 | 0.76 | |
Age group (years) | AYA (18–39) | 8 | 4 (50.0) | 4 (50.0) | |||
Middle-aged (40–69) | 122 | 77 (63.1) | 45 (36.9) | 3.21 | 0.59–17.70 | 0.18 | |
Older (≥70) | 86 | 46 (53.5) | 40 (46.5) | 2.7 | 0.45–16.10 | 0.28 | |
Cancer type | Others | 11 | 4 (36.4) | 7 (63.6) | |||
Breast cancer | 51 | 38 (74.5) | 13 (25.5) | 6.38 | 1.05–38.90 | 0.04 * | |
Lung cancer | 46 | 18 (39.1) | 28 (60.9) | 1.45 | 0.31–6.73 | 0.64 | |
Gastrointestinal cancer | 37 | 27 (73.0) | 10 (27.0) | 2.79 | 0.42–18.40 | 0.29 | |
Liver, biliary tract, pancreatic cancer | 18 | 12 (66.7) | 6 (33.3) | 1.42 | 0.21–9.70 | 0.72 | |
Urological cancer | 17 | 6 (35.3) | 11 (64.7) | 1.29 | 0.22–7.62 | 0.78 | |
Gynecological cancer | 14 | 9 (64.3) | 5 (35.7) | 6 | 0.82–43.90 | 0.08 | |
Hematological cancer | 12 | 7 (58.3) | 5 (41.7) | 5.61 | 0.76–41.70 | 0.09 | |
Head and neck cancer | 7 | 5 (71.4) | 2 (28.6) | 5.25 | 0.57–48.10 | 0.14 | |
Soft tissue sarcoma | 3 | 1 (33.3) | 2 (66.7) | 0.9 | 0.05–17.30 | 0.95 | |
Cancer drug therapy | Others | 51 | 26 (51.0) | 25 (49.0) | |||
5FU-based (5FU, S1, Cape) | 33 | 27 (81.8) | 6 (18.2) | 9.37 | 1.74–50.40 | <0.01 * | |
Taxane-based (DTX, PTX, nab-PTX, CBZ) | 49 | 37 (75.5) | 12 (24.5) | 5.63 | 1.91–16.60 | <0.01 * | |
Anthracycline-based | 8 | 6 (75.0) | 2 (25.0) | 1.95 | 0.35–10.90 | 0.45 | |
ICIs (Atezolizumab, Durvalumab, Pembrolizumab, Nivolumab, Avelumab) | 68 | 27 (39.7) | 41 (60.3) | 1.69 | 0.55–5.19 | 0.36 | |
EGFR antibodies (Cet, Pani) | 3 | 1 (33.3) | 2 (66.7) | 0.84 | 0.05–14.50 | 0.91 | |
CDDP | 4 | 3 (75.0) | 1 (25.0) | 11.1 | 0.80–156.00 | 0.07 |
With | Without | Multivariate Analysis | |||||
---|---|---|---|---|---|---|---|
n | N (%) | N (%) | OR | 95% CI | p-Value | ||
Dysgeusia | 216 | 56 (25.9) | 160 (74.1) | ||||
Others | 51 | 9 (17.6) | 42 (82.4) | ||||
5FU-based (5FU, S1, Cape) | 33 | 12 (36.4) | 21 (63.6) | 1.36 | 0.23–8.19 | 0.74 | |
Taxane-based (DTX, PTX, nab-PTX, CBZ) | 49 | 22 (44.9) | 27 (55.1) | 4.76 | 1.61–14.10 | <0.01 * | |
Anthracycline-based | 8 | 4 (50.0) | 4 (50.0) | 3.50 | 0.71–17.30 | 0.13 | |
ICIs (Atezolizumab, Durvalumab, Pembrolizumab, Nivolumab, Avelumab) | 68 | 7 (10.3) | 61 (89.7) | 0.74 | 0.19–2.89 | 0.66 | |
EGFR antibodies (Cet, Pani) | 3 | 1 (33.3) | 2 (66.7) | 1.19 | 0.06–24.60 | 0.91 | |
CDDP | 4 | 1 (25.0) | 3 (75.0) | 3.15 | 0.21–47.90 | 0.41 | |
Oral mucositis | 216 | 46 (21.3) | 170 (78.7) | ||||
Others | 51 | 13(25.5) | 38 (74.5) | ||||
5FU-based (5FU, S1, Cape) | 33 | 13 (39.4) | 20 (60.6) | 2.70 | 0.44–16.50 | 0.28 | |
Taxane-based (DTX, PTX, nab-PTX, CBZ) | 49 | 14 (28.6) | 35 (71.4) | 1.85 | 0.65–5.25 | 0.25 | |
Anthracycline-based | 8 | 2 (25.0) | 6 (75.0) | 0.74 | 0.13–4.21 | 0.73 | |
ICIs (Atezolizumab, Durvalumab, Pembrolizumab, Nivolumab, Avelumab) | 68 | 4 (5.9) | 64 (94.1) | 0.45 | 0.10–2.00 | 0.29 | |
EGFR antibodies (Cet, Pani) | 3 | 0 (0.0) | 3 (100.0) | 7.68 × 10−8 | 0-Inf | 0.99 | |
CDDP | 4 | 0 (0.0) | 4 (100.0) | 1.50 × 10−7 | 0-Inf | 0.99 | |
Xerostomia | 216 | 42 (19.4) | 174 (80.6) | ||||
Others | 51 | 6 (11.8) | 45 (88.2) | ||||
5FU-based (5FU, S1, Cape) | 33 | 11 (33.3) | 22 (66.7) | 16.50 | 1.74–157.00 | 0.01 * | |
Taxane-based (DTX, PTX, nab-PTX, CBZ) | 49 | 11 (22.4) | 38 (77.6) | 2.65 | 0.80–8.79 | 0.11 | |
Anthracycline-based | 8 | 2 (25.0) | 6 (75.0) | 2.05 | 0.32–13.10 | 0.45 | |
ICIs (Atezolizumab, Durvalumab, Pembrolizumab, Nivolumab, Avelumab) | 68 | 11 (16.2) | 57 (83.8) | 2.29 | 0.55–9.53 | 0.25 | |
EGFR antibodies (Cet, Pani) | 3 | 0 (0.0) | 3 (100.0) | 8.49 × 10−7 | 0-Inf | 1.00 | |
CDDP | 4 | 1 (25.0) | 3 (75.0) | 7.63 | 0.39–148.00 | 0.18 |
Response | ||||
---|---|---|---|---|
Total | Yes | No | ||
Item | N (%) | N (%) | N (%) | |
Hope for improvement of oral adverse events | 115 (90.6) | 68 (53.5) | 47 (37.0) | |
Impact on their quality of life | 113 (89.0) | 44 (34.6) | 69 (54.3) | |
Hope for professional oral care (Well-Trained Dentist and Dental Hygienist) | 102 (80.3) | 34 (26.8) | 68 (53.5) | |
more severe | similar | not as severe | ||
Comparison of the severity of oral adverse events and other adverse events | 113 (89.0) | 5 (3.9) | 27 (21.3) | 81 (63.8) |
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Sakai, Y.; Katsura, K.; Kotake, M.; Toyama, A. A Cross-Sectional Survey of Oral Adverse Events and Oral Management Needs in Outpatients Receiving Cancer Drug Therapy. Cancers 2025, 17, 641. https://doi.org/10.3390/cancers17040641
Sakai Y, Katsura K, Kotake M, Toyama A. A Cross-Sectional Survey of Oral Adverse Events and Oral Management Needs in Outpatients Receiving Cancer Drug Therapy. Cancers. 2025; 17(4):641. https://doi.org/10.3390/cancers17040641
Chicago/Turabian StyleSakai, Yuki, Kouji Katsura, Masaaki Kotake, and Akira Toyama. 2025. "A Cross-Sectional Survey of Oral Adverse Events and Oral Management Needs in Outpatients Receiving Cancer Drug Therapy" Cancers 17, no. 4: 641. https://doi.org/10.3390/cancers17040641
APA StyleSakai, Y., Katsura, K., Kotake, M., & Toyama, A. (2025). A Cross-Sectional Survey of Oral Adverse Events and Oral Management Needs in Outpatients Receiving Cancer Drug Therapy. Cancers, 17(4), 641. https://doi.org/10.3390/cancers17040641