| Literature DB >> 23379700 |
Baojun Huang1, Zhe Sun, Zhenning Wang, Chong Lu, Chengzhong Xing, Bo Zhao, Huimian Xu.
Abstract
BACKGROUND: Peritoneal dissemination is the most common type of recurrence in advanced gastric cancer. The main mechanism is thought to be via the exfoliation of free cancer cells (FCCs) from tumor in the gastric serosa. The frequency of recurrence thus increases once the tumor cells penetrate the serosa. However, this type of recurrence also occurs in patients without serosal invasion, though the mechanisms responsible for have not been fully established. We therefore investigated the factors associated with peritoneal dissemination in patients with non-serosa-invasive gastric cancer.Entities:
Mesh:
Year: 2013 PMID: 23379700 PMCID: PMC3641004 DOI: 10.1186/1471-2407-13-57
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Figure 1Predominant pattern of tumor infiltrating growth into the surrounding tissue. Infiltrating growth pattern was classified as follows: INFα: tumor shows expanding growth and a distinct border with the surrounding tissue (Figure 1A); INFγ: tumor shows infiltrating growth and an indistinct border with the surrounding tissue (Figure 1C); INFβ: intermediate between INFγ and INFβ (Figure 1B) (hematoxylin and eosin, ×40).
Univariate analysis of peritoneal dissemination in all patients
| Sex | male | 394 (82) | 88 (18) | 3.01 | 0.08 |
| female | 154 (76) | 49 (24) | |||
| Site | lower | 359 (80) | 91 (20) | 0.95 | 0.81 |
| middle | 74 (83) | 15 (17) | |||
| upper | 92 (78) | 22 (26) | |||
| entire | 23 (82) | 5 (18) | |||
| Age (year) | mean (SD) | 58.4 (10.3) | 56.7 (12.2) | 2.88* | 0.09 |
| Size (cm) | mean (SD) | 5.4 (2.4) | 5.7 (2.5) | 1.64* | 0.20 |
| Infiltrating pattern | INF α/β | 317 (88) | 42 (12) | 32.49 | <0.01 |
| INF γ | 231 (71) | 95 (29) | | | |
| Differentiation | well/moderate | 175 (86) | 29 (14) | 6.08 | 0.01 |
| poor | 373 (78) | 108 (22) | |||
| Borrmann type | I/II | 97 (90) | 11 (10) | 7.72 | <0.01 |
| III/IV | 451 (78) | 126 (22) | |||
| Lauren type | intestinal | 172 (85) | 30 (15) | 4.88 | 0.09 |
| mixed | 17 (81) | 4 (19) | |||
| diffuse | 359 (78) | 103 (22) | | | |
| Depth of invasion | dMP | 106 (86) | 17 (14) | 3.58 | 0.06 |
| SS | 442 (79) | 120 (21) | | | |
| Lymphatic/venous invasion | - | 444 (80) | 109 (20) | 0.15 | 0.69 |
| + | 104 (79) | 28 (21) | |||
| TNM stage | N0(0) | 170 (86) | 27 (14) | 23.21 | <0.01 |
| N1 (1–2) | 114 (81) | 27 (19) | |||
| N2 (3–6) | 128 (85) | 23 (15) | |||
| N3a (7–15) | 101 (72) | 39 (28) | |||
| N3b (>15) | 35 (63) | 21 (37) | |||
| JCGC stage | N0 | 170 (86) | 27 (14) | 15.57 | <0.01 |
| N1 | 173 (83) | 36 (17) | |||
| N2 | 184 (75) | 62 (25) | |||
| >N3 | 21 (64) | 12 (36) | |||
| FCCs # | negative | 84 (85) | 15 (15) | 27.46 | <0.01 |
| positive | 4 (25) | 12 (75) |
* Unpaired t-test; # analysis only included 115 patients with intraoperative cytological examination.
Multivariate analysis of peritoneal metastasis in all patients
| Borrmann type I/II | 108 | | 1 | | |
| Borrmann type III/IV | 577 | 0.04 | 2.06 | 1.05 | 4.04 |
| Infiltration pattern α/β | 359 | | 1 | | |
| Infiltration pattern γ | 326 | <0.01 | 2.92 | 1.94 | 4.40 |
| TNM node stage | | | | | |
| N0 (0) | 197 | | 1 | | |
| N1 (1–2) | 141 | 0.18 | 1.50 | 0.83 | 2.74 |
| N2 (3–6) | 151 | 0.74 | 1.11 | 0.60 | 2.05 |
| N3a (7–15) | 140 | 0.01 | 2.07 | 1.18 | 3.63 |
| N3b (>15) | 56 | <0.01 | 3.44 | 1.71 | 6.92 |
Relationship between infiltrating growth pattern and other clinicopathological factors
| Sex | male | 270 (56) | 212 (44) | 8.49 | <0.01 |
| female | 89 (44) | 114 (56) | |||
| Site | lower | 240 (53) | 210 (47) | 4.07 | 0.25 |
| middle | 40 (45) | 49 (55) | |||
| upper | 67 (57) | 51 (43) | |||
| entire | 12 (43) | 16 (57) | |||
| Age (year) | mean (SD) | 59.6 (9.9) | 56.4 (11.3) | 15.36* | <0.01 |
| Size (cm) | mean (SD) | 5.4 (2.2) | 5.6 (2.6) | 0.62* | 0.43 |
| Differentiation | well/moderate | 164 (80) | 40 (20) | 91.21 | < 0.01 |
| poor | 195 (41) | 286 (59) | |||
| Borrmann type | I/II | 65 (60) | 43 (40) | 3.11 | 0.08 |
| III/IV | 294 (51) | 283 (49) | |||
| Lauren type | intestinal | 162 (80) | 40 (20) | 94.59 | < 0.01 |
| mixed | 14 (67) | 7 (33) | |||
| diffuse | 183 (40) | 279 (60) | |||
| Depth of invasion | dMP | 64 (52) | 59 (48) | 0.01 | 0.93 |
| SS | 295 (53) | 267 (47) | |||
| Lymphatic/venous invasion | - | 294 (53) | 259 (47) | 0.66 | 0.42 |
| + | 65 (49) | 67 (51) | |||
| TNM stage | N0 (0) | 110 (56) | 87 (44) | 9.48 | < 0.05 |
| N1 (1–2) | 81 (57) | 60 (43) | |||
| N2 (3–6) | 83 (55) | 68 (45) | |||
| N3a (7–15) | 59 (42) | 81 (58) | |||
| N3b (>15) | 26 (46) | 30 (54) | |||
| JCGC stage | N0 | 110 (56) | 87 (44) | 4.66 | 0.20 |
| N1 | 116 (56) | 93 (44) | |||
| N2 | 119 (48) | 127 (52) | |||
| >N3 | 14 (42) | 19 (58) | |||
| FCCs # | negative | 55 (56) | 44 (44) | 7.46 | <0.01 |
| positive | 3 (19) | 13 (81) |
* Unpaired t-test; # analysis only included 115 patients with intraoperative cytological examination.
Multivariate analysis of prognostic factors for disease-free survival in non-serosa-invasive gastric cancer
| Site | | | | | |
| lower | 450 | | 1 | | |
| middle | 89 | 0.85 | 1.04 | 0.73 | 1.47 |
| upper | 118 | <0.01 | 1.47 | 1.12 | 1.94 |
| entire | 28 | 0.26 | 1.32 | 0.81 | 2.17 |
| Borrmann type | | | | | |
| I/II | 108 | | 1 | | |
| III/IV | 577 | <0.01 | 1.60 | 1.16 | 2.21 |
| Depth of invasion | | | | | |
| dMP | 123 | | 1 | | |
| SS | 562 | <0.01 | 1.57 | 1.16 | 2.13 |
| Infiltrating pattern | | | | | |
| INF α/β | 359 | | 1 | | |
| INF γ | 326 | <0.01 | 1.41 | 1.14 | 1.75 |
| TNM node stage | | | | | |
| N0 (0) | 197 | | 1 | | |
| N1 (1–2) | 141 | <0.01 | 3.01 | 1.17 | 5.31 |
| N2 (3–6) | 151 | <0.01 | 3.32 | 1.97 | 5.59 |
| N3a (7–15) | 140 | <0.01 | 5.54 | 3.38 | 9.09 |
| N3b (>15) | 56 | <0.01 | 6.92 | 4.09 | 11.73 |
# Determined by multivariate Cox proportional hazards model.
Figure 2Survival curves in relation to the tumor infiltrating growth pattern. Prognosis worsened abruptly in patients with INFγ compared to patients with INFα or β. The difference was significant (χ2 = 14.42, P < 0.01) using log rank test.
Figure 3Survival curves in relation to Borrmann type by Kaplan Meier estimation. Poorer survival was seen in patients with Borrmann type III/IV compared to those with Borrmann type I/II. The difference was significant (χ2 = 16.59, P < 0.01) using log rank test.
Figure 4Survival curves in relation to 7UICC/TNM node stage. Prognosis worsened with increasing N stage (χ2 = 128.78, P < 0.01).