Laser-capture Microdissection and Protein Extraction for Protein Fingerprint of OSCC and OLK

Figures & data

Figure 1.  Laser-capture microdissection of OSCC; tumor cryosections were fixed, stained with hematoxylin and eosin (H&E), dehydrated and analyzed under the microscope. Once tumor cells of interest were identified, microdissection was performed, and the cell purity confirmed by inspecting the area of tissue that underwent procurement and the captured cells.

Figure 2.  Protein mass peak 3714 expressed significantly high in the OSCC tissue, while the healthy tissue showed a remarkably low protein mass peak at 3714 (P=0.0000922061).

Table 1. The cross-validation results of diagnosis model of OSCC and healthy tissues (cases)

Groups	OSCC tissues	Healthy tissues	Total
OSCC tissues	19	2	21
Healthy tissues	2	19	21
Total	21	21	42

Note: the sensitivity and specificity were 90.48% (19/21), respectively,and total accuracy was 90.48% (38/42).

Table 2. The three discrepant tissue protein mass peaks (m/z) in comparison of OSCC with healthy tissues (x±SD)

Protein peaks m/z	P value	intensity in healthy tissues (mean ±SD)	intensity in OSCC tissues (mean ±SD)
3714	0.0000922061	745.69±565.41	2976.27±2178.44
3515	0.0002810430	905.46±632.82	2171.91±1310.70
4944	0.0003213933	545.80±245.38	2280.65±3021.78

Table 3. The statistics of two candidate biomarkers for screening OLK from normal tissue

Protein peaks m/z	P value	intensity in Healthy tissues (mean±SD)	intensity in OLK tissues (mean±SD)
15122	0.0051461497	22387.41±3417.96	13313.58±6148.13
7569	0.0202479019	18892.94±4768.50	11172.82±5966.12

Table 4. The statistics of two candidate biomarkers for screening OLK from OSCC.

Protein peaks m/z	P value	intensity in OSCC (mean±SD)	intensity in OLK (mean±SD)
3738	0.0005808451	859.45±376.37	283.13±119.02
11366	0.0001146500	1057.02±708.34	3589.10±2248.13

Table 5. Three patterns of proteomic diagnosis model of OSCC

Tissue batches (cases)		Histology proteomic diagnosis models of OSCC
2	Normal 0 vs leukoplaque 1 (7: 7)		15122	7569
1	Normal 0 vs OSCC 1 (21: 21)	3714	3515	4944
3	leukoplaque 0 vs OSCC 1 (7: 20)	3738	11366

Note: Italics represent high expressions in group 0, regular scripts represent high expression in group1, blacken writings represent the potential consistency in the same row.