Submitted:
08 January 2025
Posted:
09 January 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Patients
2.2. Data Collection and Survey
2.3. Statistical Analysis
3. Results
3.1. Incidence of Oral Adverse Events
3.2. Patient Needs for Management of Oral Adverse Events by Medical Professionals
3.3. The Relationship Between Patient Characteristics and Major Oral Adverse Events
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
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 |
| ICIs | Immune checkpoint inhibitors |
| 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 daily life? |
| 1. Yes. 2. No. | |
| Q 4. | What issues have become a problem in your daily 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% | ||
| AYA, Adolescent and young adult; ICIs, Immune checkpoint inhibitors; DTX, Docetaxel; PTX, Paclitaxel; nab-PTX, nab-Paclitaxel; CBZ, Cabazitaxel acetonate; Cape, Capecitabine; CDDP, Cisplatin; EGFR, Epidermal growth factor receptor; Cet, Cetuximab; Pani, Panitumumab | ||||
| 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* | |
| Taxanes-based (DTX, PTX, nab-PTX, CBZ) | 49 | 37(75.5) | 12(24.5) | 5.63 | 1.91-16.60 | < 0.01* | |
| Anthracyclines-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 | |
| †Significant association (p-value < 0.05 ) | |||||||
| OR:odds ratio | |||||||
| CI:confidence interval | |||||||
| 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 | |
| Taxanes-based (DTX, PTX, nab-PTX, CBZ) | 49 | 22(44.9) | 27(55.1) | 4.76 | 1.61-14.10 | < 0.01* | |
| Anthracyclines-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) | 2.70E+00 | 0.44-16.50 | 0.28 | |
| Taxanes-based (DTX, PTX, nab-PTX, CBZ) | 49 | 14(28.6) | 35(71.4) | 1.85E+00 | 0.65-5.25 | 0.25 | |
| Anthracyclines-based | 8 | 2(25.0) | 6(75.0) | 7.38E-01 | 0.13-4.21 | 0.73 | |
| ICIs (Atezolizumab,Durvalumab,Pembrolizumab,Nivolumab,Avelumab) | 68 | 4(5.9) | 64(94.1) | 4.48E-01 | 0.10-2.00 | 0.29 | |
| EGFR antibodies (Cet, Pani) | 3 | 0(0.0) | 3(100.0) | 7.68E-08 | 0-Inf | 0.99 | |
| CDDP | 4 | 0(0.0) | 4(100.0) | 1.50E-07 | 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) | 1.65E+01 | 1.74-157.00 | 0.01* | |
| Taxanes-based (DTX, PTX, nab-PTX, CBZ) | 49 | 11(22.4) | 38(77.6) | 2.65E+00 | 0.80-8.79 | 0.11 | |
| Anthracyclines-based | 8 | 2(25.0) | 6(75.0) | 2.05E+00 | 0.32-13.10 | 0.45 | |
| ICIs (Atezolizumab,Durvalumab,Pembrolizumab,Nivolumab,Avelumab) | 68 | 11(16.2) | 57(83.8) | 2.29E+00 | 0.55-9.53 | 0.25 | |
| EGFR antibodies (Cet, Pani) | 3 | 0(0.0) | 3(100.0) | 8.49E-07 | 0-Inf | 1.00 | |
| CDDP | 4 | 1(25.0) | 3(75.0) | 7.63E+00 | 0.39-148.00 | 0.18 | |
| †Significant association (p-value < 0.05) |
|||||||
| OR:odds ratio | |||||||
| CI:confidence interval | |||||||
| 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 daily lives | 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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