| Literature DB >> 31110438 |
M Manjula1, Punnya V Angadi1, N K Priya1, Seema Hallikerimath2, Alka D Kale1.
Abstract
AIMS: Neural invasion (NI) is a form of tumor spread distinct from lymphatic and vascular invasion. It has been correlated with aggressive behavior, disease recurrence and increased morbidity and mortality. Despite the importance of NI as a prognostic indicator, the mechanism and associated factors are poorly understood. Hence, the aim of this study was to determine morphological parameters associated with NI in oral squamous cell carcinoma (OSCC).Entities:
Keywords: Histopathologic grading; intra-neural invasion; neural invasion; oral squamous cell carcinoma; perineural invasion; prognosis
Year: 2019 PMID: 31110438 PMCID: PMC6503792 DOI: 10.4103/jomfp.JOMFP_178_18
Source DB: PubMed Journal: J Oral Maxillofac Pathol ISSN: 0973-029X
Figure 1Various patterns and distance of neural invasion. (a) Peri-neural invasion (H&E, ×400), intraneural invasion (H&E, ×400) (b); both intra- and peri-neural invasion (H&E, ×100) (c); Distal invasion showing invasion of cancer cells >1 cm or less from the main tumor (H&E, ×100) (d)
Figure 2Morphometric analysis of the nerve diameter using Leica QWin image processing and analysis software. (a) Peri-neural invasion in oral squamous cell carcinoma (H&E, ×100) (b) Nerve diameter outlined in the image analysis software
clinical feature among patients with or without neural invasion
| Variables | Number of patients - ( | Positive - 31 | Negative -74 | |
|---|---|---|---|---|
| Age | ||||
| <45 | 28 | 12 (42.8%) | 16 (57.1%) | 0.071 |
| >45 | 77 | 19 (24.6%) | 58 (75.3%) | |
| Sex | ||||
| M | 60 | 17 (28.3%) | 43 (71.7%) | 0.257 |
| F | 45 | 14 (31.1%) | 31 (68.4%) | |
| Habit History | ||||
| Present | 84 | 20 (23.8%) | 64 (76.1%) | 0.002* |
| Absent | 19 | 11 (13.09%) | 8 (42.1%) | |
| Not available | 2 | - | - | |
| Size | ||||
| <4 cms | 32 | 13 | 19 (59.45%) | 0.154 |
| >4 cms | 59 | 13 | 46 (78%) | |
| NA | 14 | 5 | 9 (64.3%) |
*P<0.05, Significant
Histological features among patients with or without neural invasion
| Variables | Number of patients ( | Positive – 31 (32.5%) | Negative - 74 (77.7%) | |
|---|---|---|---|---|
| Depth of invasion | ||||
| 1.carcinoma | 4 (3.8%) | 1 (25%) | 3 (75%) | 0.091 |
| 2. Invasion involving lamina propria | 42 (40%) | 11 (26%) | 31 (73.3%) | |
| 3.Invasion below lamina propria involving muscle, gland, periosteum | 54 (51.4%) | 15 (27.7%) | 39 (72.2%) | |
| 4.deep invasion involving jaw bone | 5 (4.76%) | 4 (80%) | 1 (20%) | |
| Histologic grade | ||||
| 1.well differentiated | 59 (56.1%) | 17 (28.8%) | 42 (71.2%) | 0.239 |
| 2.moderately differentiated | 39 (37.1%) | 10 (25.6%) | 29 (74.4%) | |
| 3.poorly differentiated | 7 (6.6%) | 4( 57.14%) | 3 (42.9%) | |
| Type of invasive front | ||||
| 1.pushing borders | 15 (14.2%) | 2 (13.3%) | 13 (86.7%) | 0.081 |
| 2.infiltrative-solid cords | 39 (37.14%) | 10 (25.6%) | 29 (74.4%) | |
| 3.small groups or cords of infiltrative cells | 34 (32.3%) | 13 (38.2%) | 28 (68.3%) | |
| 4.widespread cellular dissociation | 16 (15.2%) | 6 (37.5%) | 4 (40%) | |
| Type of stroma | ||||
| 1.abundant | 9 (8.5%) | 1 (11.1%) | 8 (88.9%) | 0.105 |
| 2. dense | 76 (72.3%) | 26 (34.2%) | 50 (65.8%) | |
| 3.delicate | 50 (47.6%) | 3 (15.7%) | 14 (84.2%) | |
| 4.none | 19 (18%) | 1 | 0 | |
| Extent of inflammation | ||||
| 1.marked | 21 (20%) | 7 (33.3%) | 14 (66.7%) | 0.937 |
| 2.moderate | 64 (60.9%) | 19 (29.6%) | 45 (70.2%) | |
| 3.slight | 19 (18%) | 5 (26.3%) | 14 (73.7%) | |
| 4.none | 1(.95%) | 0 | 1 | |
| Lymphovasular invasion | ||||
| 1.absent | 79 (75.2%) | 13 (16.4%) | 66 (83.5%) | 0.001* |
| 2.present | 26 (24.7%) | 18 (69.4%) | 8 (30.8%) | |
| Surgical margin | ||||
| 0-absent | 82 (78%) | 19 (15.5%) | 63 (76.8%) | 0.007* |
| 1-Present | 23( 21.9%) | 12 (52.17% | 11 (47.8%) | |
| Lymphnode metastasis | ||||
| 0-absent | 70 (66.6%) | 20 (28.5%) | 50 (71.4%) | 0.762 |
| 1-present | 35( 33.3%) | 11 (31.4%) | 24 (68.6%) |
*=P<0.05, statistically Significant
Pattern of neural invasion distance of neural invasion and nerve diameter in patients with neural invasion
| Variables | Number of patients with neural invasion ( |
|---|---|
| Pattern of neural invasion | |
| 1-perineural invasion | 18 (58.06%) |
| 2-intraneural invasion | 4 (12.90%) |
| 3-both | 9 (29.03%) |
| Distance of invasion | |
| 1.local invasion | 17 (54.83%) |
| 2.distant invasion | 12 (38.7%) |
| 3.both | 2 (6.45%) |
| Nerve diameter | |
| ≤500 µm | 24 (77.41%) |
| ≥500 µm | 7 (22.58%) |
Risk factors associated with neural invasion in oral squamous cell carcinoma
| Variables | Adjusted odds ratio | 95% CI | |
|---|---|---|---|
| Habbit | 0.088 | 0.021-.370 | 0.001* |
| Lymphovascular invasion | 19.462 | 5.334-72.33 | 0.001* |
| Surgical margin | 7.346 | 1.887-28.600 | 0.004* |
*=P<0.05, statistically Significant