| Literature DB >> 36213327 |
Wenjing Li1, Jianqiang You1, Haixiang Xue1, Changjiang Chao1.
Abstract
Objectives: This study was intended to explore and analyze the factors which affect the survival and prognosis of patients with malignant tumors of nasal cavity and sinus.Entities:
Mesh:
Year: 2022 PMID: 36213327 PMCID: PMC9536997 DOI: 10.1155/2022/4406838
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.493
Clinical data of 39 patients with malignant tumor of nasal cavity and sinus.
| Category | Case | Mean survival time (months) | Median survival time (months) |
|---|---|---|---|
| Pathological type | |||
| Melanocytoma melanoma | 2 | 67 | 67 |
| Undifferentiated intermorphic carcinoma | 1 | 132 | 132 |
| Granulocytic sarcoma | 1 | 26 | 26 |
| Adenocarcinoma | 7 | 49.3 | 58 |
| Mucoepidermoid carcinoma | 1 | 30 | 30 |
| Lymphoma | 8 | 32.6 | 20.5 |
| Squamous carcinoma and neuroendocrine | 1 | 79 | 79 |
| Squamous carcinoma | 11 | 36.8 | 32 |
| Myofibroblastoma | 1 | 73 | 73 |
| Malignant fibrous histiocytoma | 1 | 14 | 14 |
| Round cell malignancy | 1 | 16 | 16 |
| Neuroendocrine | 3 | 43.3 | 45 |
| Sarcoma | 1 | 11 | 11 |
| Treatment method | |||
| Surgery+radioterapy+chemotherapy | 7 | 62.6 | 69 |
| Surgery+chemotherapy | 3 | 13 | 7 |
| Untreated | 3 | 12.3 | 10 |
| Surgery | 12 | 38.9 | 35.5 |
| Surgery+radioterapy | 8 | 53.3 | 55.5 |
| Radiotherapy | 1 | 110 | 110 |
| Not detailed | 1 | 17 | 17 |
| Radiotherapy+chemotherapy | 3 | 37 | 13 |
| Chemotherapy | 1 | 11 | 11 |
| Clinical stage | |||
| Stage I | 7 | 74.7 | 77 |
| Stage II | 8 | 71.7 | 71 |
| Stage III | 7 | 52.3 | 58 |
| Stage IV | 17 | 18.3 | 14 |
Surgical resection pathologic data.
| Characteristic |
| % |
|---|---|---|
| Lymphatic invasion | ||
| No | 38 | 97.4 |
| Yes | 1 | 2.6 |
| Perineural invasion | ||
| No | 37 | 94.9 |
| Yes | 2 | 5.1 |
| Angioinvasion | ||
| No | 39 | 100 |
| Yes | 0 |
Figure 1The scatter diagram of patients' age and survival time.
Figure 2Overall survival curve.
Figure 3Survival curves of different age groups.
Figure 4Survival curves of different sex groups.
Figure 5Survival curve of different parts groups.
Figure 6Survival curves of different treatment groups.
Figure 7Survival curve of different pathological groups.
Figure 8Survival curves of different clinical stage groups.
Figure 9The risk function of covariates in the Cox regression analysis.