Literature DB >> 28292272

Comparison of five tumor regression grading systems for gastric adenocarcinoma after neoadjuvant chemotherapy: a retrospective study of 192 cases from National Cancer Center in China.

Yuelu Zhu1, Yongkun Sun2, Shangying Hu3, Yong Jiang3, Jiangying Yue1,4, Xuemin Xue1, Lin Yang2, Liyan Xue5.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy has been increasingly practiced on gastric cancer (GC), and histological evaluation to predict outcome is urgent in clinical practice. There are five classic tumor regression grading (TRG) systems, including Mandard-TRG system, the Japanese Gastric Cancer Association (JGCA)-TRG system, College of American Pathologists (CAP)-TRG system, China-TRG system and Becker-TRG system.
METHODS: Totally, 192 patients of gastric adenocarcinoma (including adenocarcinoma of the esophagogastric junction) treated by neoadjuvant chemotherapy and surgery were evaluated using the above five TRG systems. The clinicopathological characteristics were also assessed. The correlation among TRG systems, clinicopathological characteristics and prognosis were analyzed.
RESULTS: All the five TRG systems were significantly correlated with differentiation, postsurgical T category, postsurgical N category, American Joint Committee on Cancer (AJCC) stage, lymph-vascular invasion, perineural invasion, as well as tumor size. All the five TRG systems were statistically significant in univariate Cox survival analysis. However, only postsurgical T category, postsurgical N category and R0 resection were independent in multivariate Cox survival analysis. The tight correlation between the TRG systems and other characteristics such as postsurgical stage might affect the independent prognostic role of the TRG systems. As compared with other TRG systems, the hazard ratio of no/slightly response in both Mandard TRG system and JGCA TRG system revealed higher hazard of death and disease progression than that of severe response when using univariate Cox survival analysis. The median survival time of complete response and nearly complete response were much longer than that of partial response, all classified by Mandard-TRG system. This could help clinicians predict prognosis more reasonably than JGCA-TRG which does not have the category of nearly complete response.
CONCLUSION: We recommend Mandard-TRG system for GC after neoadjuvant chemotherapy due to its better prediction of prognosis.

Entities:  

Keywords:  Gastric cancer; Neoadjuvant chemotherapy; Tumor regression grading

Mesh:

Substances:

Year:  2017        PMID: 28292272      PMCID: PMC5351213          DOI: 10.1186/s12876-017-0598-5

Source DB:  PubMed          Journal:  BMC Gastroenterol        ISSN: 1471-230X            Impact factor:   3.067


Background

In 2012, 951,000 new diagnoses of gastric cancer (GC) and 723,000 GC deaths were calculated worldwide, accounting for 6.8% of all cancer incidence and 8.8% of all cancer mortality, respectively [1]. At present, GC is the second common cancer in China, while approximately 679,100 new cancer cases and 498,000 related deaths were estimated in China in 2015 [2]. The most promising curative treatment for GC is surgical resection. However, this treatment alone is not enough for curing advanced GC because of poor long-term outcome, thus a multimodality therapy is required. Nowadays, neoadjuvant chemotherapy has been increasingly used to prolong patient survival worldwide [3], therefore an effective histopathological evaluation method predicting patient prognosis is urgently needed in clinical practice. So far, four tumor regression grading (TRG) systems were presented by several studies. Mandard et al. proposed a five-tiered TRG system in esophageal carcinoma which has been used widely in digestive malignancy [4]. The Japanese Gastric Cancer Association (JGCA) suggested a different five-tiered grading system specifically for GC [5]. College of American Pathologists (CAP) recommended a simplified four-tiered grading system based on Mandard-TRG system [6]. In China, a three-tiered grading system has been used for solid malignancies to evaluate the extent of therapy-related tumor regression [7]. In recent years, Becker et al. recommended a four-tiered grading system for GC based on large number of patients and long-term follow-up [8, 9]. For the purpose of further evaluation of the relationship between TRG and prognosis, we retrospectively collected 192 patients in our hospital. We used the above five TRG systems to assess the pathological response respectively, trying to select a better histopathological evaluation system.

Methods

Patients

Between January 2007 and August 2013, 192 patients with locally advanced gastric adenocarcinoma (including adenocarcinoma of the esophagogastric junction) underwent gastrectomy in National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. All the patients received neoadjuvant chemotherapy previously. The treatment strategies were not uniform, and the drugs most used included oxaliplatin, cisplatin, docetaxel, 5-fluorouracil and Tegafur Gimeracil Oteracil Potassium Capsule. There were 133 patients who received additional adjuvant chemotherapy after surgery. All cases had only one primary gastric tumor, except one patient, who had two primary lesions located at the fundus and antrum, separately. The tumor located at the fundus was evaluated in our study for its relatively higher T category. There were 139 male and 53 female, and the age ranged 31–77 years old (median age, 55 years old).

Follow-up

The mortality data was mainly gathered from clinical archives, or via telephone and mail. After treatment, patients were evaluated every 3 months for the first 2 years, and subsequently every 6 months for the following 3 years, and then annually according to institutional policy. Information of recurrence was updated every time the patients came for follow-up visits. The time of overall-survival (OS) was calculated from the first day of the neoadjuvant chemotherapy to the day when death occurred or to the last follow-up (September 2015). The time of progression-free-survival (PFS) was calculated from the first day of the neoadjuvant chemotherapy to the day when progression happened, death occurred or to the last follow-up (September 2015). Eleven patients were lost to follow-up. The median follow-up time was 31 months (4.1–95.3 months). Three patients, who died as the result of surgery complications, and 8 patients, whose follow-up time after surgery were less than 3 months, were excluded from the survival analysis.

Assessment of the specimens

If obvious residual carcinoma was identified macroscopically, the tumor specimen was sampled for at least 1 block per centimeter. If the maximum of residue was less than 3 cm or only areas of scar existed, the whole suspected lesion was submitted completely for histological examination. Four-micrometer sections were stained with hematoxylin and eosin. The average of slides per residual tumor was 9.7 (3–77), while the median number of the examined lymph nodes per case was 24 (3–58).

Clinicopathological characteristics

The clinicopathological features include tumor location, tumor size, histological differentiation, Laurén classification, lymph-vascular invasion (LVI) and perineural invasion (PNI). The tumor staging was based on the American Joint Committee on Cancer (AJCC) cancer staging 7th edition [10]. All the slides were reviewed by three experienced pathologists (YZ, JY and LX). In case of a disagreement about diagnosis, three pathologists reviewed the slides on a multi-headed microscope and reached a consensus diagnosis.

Tumor regression grading systems

The criteria of the five TRG systems are shown in Table 1.
Table 1

Criteria of five tumor regression grading systems

TRG systemGradeDescription
Mandard-TRG1No residual cancer
2Rare residual cancer cells
3Fibrosis outgrowing residual cancer
4Residual cancer outgrowing fibrosis
5Absence of regressive changes
JGCA-TRG0No evidence of effect
1aViable tumor cells occupy more than 2/3 of the tumorous area
1bViable tumor cells remain in more than 1/3 but less than 2/3 of the tumorous area
2Viable tumor cells remain in less than 1/3 of the tumorous area
3No viable tumor cells remain
CAP-TRG0No viable cancer cells (complete response)
1Single cells or small groups of cancer cells (moderate response)
2Residual cancer outgrown by fibrosis (minimal response)
3Minimal or no tumor killed or extensive residual cancer (poor response)
China-TRGSevere responseTumor cells completely disappear or very few highly regressive residue exist with obvious scarring and varying inflammation
Moderate responseMost tumor cells degenerate and necrosis with obvious stroma fibrosis and inflammation
Mild responseAbsence of or slight necrosis and degeneration of tumor cells accompanied by mild stroma fibrosis and inflammation
Becker-TRG1aNo residual tumor/tumor bed
1b<10% residual tumor/tumor bed
210–50% residual tumor/tumor bed
3>50% residual tumor/tumor bed
Criteria of five tumor regression grading systems

Statistical analysis

Correlations between tumor regression evaluation systems and clinicopathological characteristics were performed by χ2 tests. And 2-sided p-values < 0.05 were considered statistically significant. The survival curve and median survival time were calculated using Kaplan-Meier method and log rank test. The univariate analysis of survival was evaluated by univariate Cox regression analysis. The statistic significant factors in univariate analysis were assessed by backward stepwise multivariate Cox regression analysis. Variables with a p-value of <0.05 were retained, and variables with a p-value of >0.10 were removed. All statistics were performed by SPSS 16.0 software (SPSS Inc, Chicago, IL).

Results

All the 192 patients received radical surgery. Forty-nine patients underwent proximal subtotal gastrectomy. Eighty-eight patients underwent distal subtotal gastrectomy. Fifty-three patients underwent total gastrectomy. Two patients underwent residual gastrectomy, both of which underwent distal gastrectomy previously due to severe ulcer. Sixty-three patients underwent D1 lymphadenectomy and 129 underwent D2 lymphadenectomy. The examined numbers of the removed lymph nodes per case ranged from 3 to 58. One-hundred and fifty-nine patients got R0 resection (82.8%). Twenty-one patients had local unresectable residues detected macroscopically by the surgeons while 12 had microscopically positive margins. Forty-four patients had adenocarcinoma of the esophagogastric junction (22.9%), 71 had tumors located at proximal stomach (37.0%), while 77 had tumors located at distal stomach (40.1%). We used maximal diameter of residual tumor/tumor bed to describe the size of tumor, which was divided into three groups [8]: <4.5 cm (n = 108, 56.3%), 4.5–8 cm (n = 64, 33.3%) and >8 cm (n = 20, 10.4%). The clinicopathological characteristics were tabulated in Tables 2, 3, 4, 5 and 6.
Table 2

Relationships between clinicopathological characteristics and pathological response evaluated by Mandard-TRG system

CharacteristicsTotal cases (n = 192), no. (%)Mandard-TRG P value
1 (n = 11), no. (%)2 (n = 23), no. (%)3 (n = 40), no. (%)4 (n = 78), no. (%)5 (n = 40), no. (%)
Gender0.039
 Male139 (72.4)10 (7.2)20 (14.4)29 (20.9)48 (34.5)32 (23)
 Female53 (27.6)1 (1.9)3 (5.7)11 (20.8)30 (56.6)8 (15.1)
Age0.867
 < 55y89 (46.4)6 (6.7)10 (11.2)17 (19.1)39 (43.8)17 (19.1)
 ≥ 55y103 (53.6)5 (4.9)13 (12.6)23 (22.3)39 (37.9)23 (22.3)
Location0.351
 Esophagogastric junction44 (22.9)1 (2.3)4 (9.1)8 (18.2)20 (45.5)11 (25)
 Proximal gastric71 (37)7 (9.9)8 (11.3)15 (21.1)23 (32.4)18 (25.4)
 Distal gastric77 (40.1)3 (3.9)11 (14.3)17 (22.1)35 (45.5)11 (14.3)
Maximal diameter of tumor bed0.004
 < 4.5 cm108 (56.2)9 (8.3)20 (18.5)20 (18.5)44 (40.7)15 (13.9)
 4.5–8 cm64 (33.3)1 (1.6)3 (4.7)17 (26.6)27 (42.2)16 (25)
 > 8 cm20 (10.4)1 (5)0 (0)3 (15)7 (35)9 (45)
Histological differentiation0.003
 Well-moderate45 (23.4)4 (8.9)12 (26.7)9 (20)16 (35.6)4 (8.9)
 Poor147 (76.6)7 (4.8)11 (7.5)31 (21.1)62 (42.2)36 (24.5)
Laurén classification0.240
 Intestinal77 (40.1)4 (5.2)14 (18.2)14 (19.2)28 (36.4)15 (19.5)
 Diffuse73 (38)7 (9.6)5 (6.8)10 (23.8)33 (45.2)14 (19.2)
 Mixed42 (21.9)0 (0)4 (9.5)15 (35.7)17 (40.5)11 (26.2)
LVI<0.001
 Negative94 (49)11 (11.7)19 (20.2)28 (29.8)26 (27.7)10 (10.6)
 Positive98 (51)0 (0)4 (4.1)12 (12.2)52 (53.1)30 (30.6)
PNI<0.001
 Negative76 (39.6)11 (14.5)22 (28.9)13 (17.1)23 (30.3)7 (9.2)
 Positive116 (60.4)0 (0)1 (0.9)27 (23.3)55 (47.4)33 (28.4)
AJCC ypT category<0.001
 011 (5.7)11 (100)0 (0)0 (0)0 (0)0 (0)
 120 (10.4)0 (0)12 (60)5 (25)3 (15)0 (0)
 223 (12)0 (0)5 (21.7)6 (26.1)12 (52.2)0 (0)
 357 (29.7)0 (0)5 (8.8)18 (31.6)25 (43.9)9 (15.8)
 481 (42.2)0 (0)1 (1.2)11 (13.6)38 (46.9)31 (38.3)
AJCC ypN category<0.001
 055 (28.6)9 (16.4)13 (23.6)17 (30.9)10 (18.2)6 (10.9)
 136 (18.8)0 (0)6 (16.7)7 (19.4)16 (44.4)7 (19.4)
 250 (26)0 (0)3 (6)10 (20)32 (64)5 (10)
 351 (26.6)2 (3.9)1 (2)6 (11.8)20 (39.2)22 (43.1)
AJCC stage<0.001
 09 (4.7)9 (100)0 (0)0 (0)0 (0)0 (0)
 124 (12.5)0 (0)14 (58.3)7 (29.2)2 (8.3)1 (4.2)
 253 (27.6)2 (3.8)6 (11.3)14 (26.4)21 (39.6)10 (18.9)
 3106 (55.2)0 (0)3 (2.8)19 (17.9)55 (51.9)29 (27.4)
R0 resection0.185
 Yes159 (82.8)11 (6.9)20 (12.6)35 (22)64 (40.3)29 (18.2)
 No33 (17.2)0 (0)3 (9.1)5 (15.2)14 (42.4)11 (33.3)
Adjuvant chemotherapy0.766
 Not received59 (30.7)3 (5.1)6 (10.2)10 (16.9)25 (42.4)15 (25.4)
 Received133 (69.3)8 (6)17 (12.8)30 (22.6)53 (39.8)25 (18.8)
Table 3

Relationships between clinicopathological characteristics and pathological response evaluated by JGCA-TRG system

CharacteristicsTotal cases (n = 192), no. (%)JGCA -TRG P value
3 (n = 11), no. (%)2 (n = 63), no. (%)1b (n = 45), no. (%)1a (n = 33), no. (%)0 (n = 40), no. (%)
Gender0.097
 Male139 (72.4)10 (7.2)48 (34.5)30 (21.6)19 (13.7)32 (23)
 Female53 (27.6)1 (1.9)15 (28.3)15 (28.3)14 (26.4)8 (15.1)
Age0.711
 < 55y89 (46.4)6 (6.7)26 (29.2)24 (27)16 (18)17 (19.1)
 ≥ 55y103 (53.6)5 (4.9)37 (35.9)21 (20.4)17 (16.5)23 (22.3)
Location0.287
 Esophagogastric junction44 (22.9)1 (2.3)12 (27.3)10 (22.7)10 (22.7)11 (25)
 Proximal gastric71 (37)7 (9.9)23 (32.4)15 (21.1)8 (11.3)18 (25.4)
 Distal gastric77 (40.1)3 (3.9)28 (36.4)20 (26)15 (19.5)11 (14.3)
Maximal diameter of tumor bed<0.001
 < 4.5 cm108 (56.2)9 (8.3)40 (37)27 (25)17 (15.7)15 (13.9)
 4.5–8 cm64 (33.3)1 (1.6)21 (32.8)14 (21.9)12 (18.8)16 (25)
 > 8 cm20 (10.4)1 (5)2 (10)4 (20)4 (20)9 (45)
Histological differentiation0.060
 Well-moderate45 (23.4)4 (8.9)21 (46.7)10 (22.2)6 (13.3)4 (8.9)
 Poor147 (76.6)7 (4.8)42 (28.6)35 (23.8)27 (18.4)36 (24.5)
Laurén classification
 Intestinal77 (40.1)4 (5.2)29 (37.7)18 (23.4)11 (14.3)15 (19.5)
 Diffuse73 (38)7 (9.6)20 (27.4)16 (21.9)16 (21.9)14 (19.2)
 Mixed42 (21.9)0 (0)14 (33.3)11 (26.2)6 (14.3)11 (26.2)
LVI<0.001
 Negative94 (49)11 (11.7)46 (48.9)19 (20.2)8 (8.5)10 (10.6)
 Positive98 (51)0 (0)17 (17.3)26 (26.5)25 (25.5)30 (30.6)
PNI<0.001
 Negative76 (39.6)11 (14.5)35 (46.1)14 (18.4)9 (11.8)7 (9.2)
 Positive116 (60.4)0 (0)28 (24.1)31 (26.7)24 (20.7)33 (28.4)
AJCC ypT category<0.001
 011 (5.7)11 (100)0 (0)0 (0)0 (0)0 (0)
 120 (10.4)0 (0)17 (85)1 (5)2 (10)0 (0)
 223 (12)0 (0)11 (47.8)6 (26.1)6 (26.1)0 (0)
 357 (29.7)0 (0)24 (42.1)16 (28.1)8 (14)9 (15.8)
 481 (42.2)0 (0)11 (13.6)22 (27.2)17 (21)31 (38.3)
AJCC ypN category<0.001
 055 (28.6)9 (16.4)30 (54.5)5 (9.1)5 (9.1)6 (10.9)
 136 (18.8)0 (0)13 (26)11 (30.6)5 (13.9)7 (19.4)
 250 (26)0 (0)13 (26)21 (42)11 (22)5 (10)
 351 (26.6)2 (3.9)7 (13.7)8 (15.7)12 (23.5)22 (43.1)
AJCC stage<0.001
 09 (4.7)9 (100)0 (0)0 (0)0 (0)0 (0)
 124 (12.5)0 (0)21 (87.5)1 (4.2)1 (4.2)1 (4.2)
 253 (27.6)2 (3.8)20 (37.7)12 (22.6)9 (17)10 (18.9)
 3106 (55.2)0 (0)22 (20.8)32 (30.2)23 (21.7)29 (27.4)
R0 resection0.046
 Yes159 (82.8)11 (6.9)55 (34.6)40 (25.2)24 (15.1)29 (18.2)
 No33 (17.2)0 (0)8 (24.2)5 (15.2)9 (27.3)11 (33.3)
Adjuvant chemotherapy0.676
 Not received59 (30.7)3 (5.1)16 (27.1)13 (22)12 (20.3)15 (25.4)
 Received133 (69.3)8 (6)47 (35.3)32 (24.1)21 (15.8)25 (18.8)
Table 4

Relationships between clinicopathological characteristics and pathological response evaluated by CAP-TRG system

CharacteristicsTotal cases (n = 192), no. (%)CAP-TRG P value
0 (n = 11), no. (%)1 (n = 23), no. (%)2 (n = 40), no. (%)3 (n = 118), no. (%)
Gender0.134
 Male139 (72.4)10 (7.2)20 (14.4)29 (20.9)80 (57.6)
 Female53 (27.6)1 (1.9)3 (5.7)11 (20.8)38 (71.7)
Age0.880
 < 55y89 (46.4)6 (6.7)10 (11.2)17 (19.1)56 (62.9)
 ≥ 55y103 (53.6)5 (4.9)13 (12.6)23 (22.3)62 (60.2)
Location0.525
 Esophagogastric junction44 (22.9)1 (2.3)4 (9.1)8 (18.2)31 (70.5)
 Proximal gastric71 (37)7 (9.9)8 (11.3)15 (21.1)41 (57.7)
 Distal gastric77 (40.1)3 (3.9)11 (14.3)17 (22.1)46 (59.7)
Maximal diameter of tumor bed0.013
 < 4.5 cm108 (56.2)9 (8.3)20 (18.5)20 (18.5)59 (54.6)
 4.5–8 cm64 (33.3)1 (1.6)3 (4.7)17 (26.6)43 (67.2)
 > 8 cm20 (10.4)1 (5)0 (0)3 (15)16 (80)
Histological differentiation0.002
 Well-moderate45 (23.4)4 (8.9)12 (26.7)9 (20)20 (44.4)
 Poor147 (76.6)7 (4.8)11 (7.5)31 (21.1)98 (66.7)
Laurén classification0.143
 Intestinal77 (40.1)4 (5.2)14 (18.2)14 (19.2)47 (64.4)
 Diffuse73 (38)7 (9.6)5 (6.8)10 (23.8)28 (66.7)
 Mixed42 (21.9)0 (0)4 (9.5)15 (35.7)23 (54.8)
LVI<0.001
 Negative94 (49)11 (11.7)19 (20.2)28 (29.8)36 (38.3)
 Positive98 (51)0 (0)4 (4.1)12 (12.2)82 (83.7)
PNI<0.001
 Negative76 (39.6)11 (14.5)22 (28.9)13 (17.1)30 (39.5)
 Positive116 (60.4)0 (0)1 (0.9)27 (23.3)88 (75.9)
AJCC ypT category<0.001
 011 (5.7)11 (100)0 (0)0 (0)0 (0)
 120 (10.4)0 (0)12 (60)5 (25)3 (15)
 223 (12)0 (0)5 (21.7)6 (26.1)12 (52.2)
 357 (29.7)0 (0)5 (8.8)18 (31.6)34 (59.6)
 481 (42.2)0 (0)1 (1.2)11 (13.6)69 (85.2)
AJCC ypN category<0.001
 055 (28.6)9 (16.4)13 (23.6)17 (30.9)16 (29.1)
 136 (18.8)0 (0)6 (16.7)7 (19.4)23 (63.9)
 250 (26)0 (0)3 (6)10 (20)37 (74)
 351 (26.6)2 (3.9)1 (2)6 (11.8)42 (82.4)
AJCC stage<0.001
 09 (4.7)9 (100)0 (0)0 (0)0 (0)
 124 (12.5)0 (0)14 (58.3)7 (29.2)3 (12.5)
 253 (27.6)2 (3.8)6 (11.3)14 (26.4)31 (58.5)
 3106 (55.2)0 (0)3 (2.8)19 (17.9)84 (79.2)
R0 resection0.212
 Yes159 (82.8)11 (6.9)20 (12.6)35 (22)93 (58.5)
 No33 (17.2)0 (0)3 (9.1)5 (15.2)25 (75.8)
Adjuvant chemotherapy0.69
 Not received59 (30.7)3 (5.1)6 (10.2)10 (16.9)40 (67.8)
 Received133 (69.3)8 (6)17 (35.3)30 (22.6)78 (58.6)
Table 5

Relationships between clinicopathological characteristics and pathological response evaluated by China-TRG system

CharacteristicsTotal cases (n = 192), no. (%)China-TRG P value
Severe response (n = 34), no. (%)Moderate response (n = 57), no. (%)Mild response (n = 101), no. (%)
Gender0.063
 Male139 (72.4)30 (21.6)41 (29.5)68 (48.9)
 Female53 (27.6)4 (7.5)16 (30.2)33 (62.3)
Age0.820
 < 55y89 (46.4)15 (16.9)25 (28.1)49 (55.1)
 ≥ 55y103 (53.6)19 (18.4)32 (31.1)52 (50.5)
Location0.906
 Esophagogastric junction44 (22.9)6 (13.6)14 (31.8)24 (54.5)
 Proximal gastric71 (37)14 (19.7)22 (31)35 (49.3)
 Distal gastric77 (40.1)14 (18.2)21 (27.3)42 (54.5)
Maximal diameter of tumor bed<0.001
 < 4.5 cm108 (56.2)28 (25.9)32 (29.6)48 (44.4)
 4.5–8 cm64 (33.3)5 (7.8)21 (32.8)38 (59.4)
 > 8 cm20 (10.4)1 (5)4 (20)15 (75)
Histological differentiation0.001
 Well-moderate45 (23.4)16 (35.6)12 (26.7)17 (37.8)
 Poor147 (76.6)18 (12.2)45 (30.6)84 (57.1)
Laurén classification0.264
 Intestinal77 (40.1)18 (23.4)22 (28.6)37 (48.1)
 Diffuse73 (38)13 (17.8)20 (27.4)40 (54.8)
 Mixed42 (21.9)3 (7.1)15 (35.7)24 (57.1)
LVI<0.001
 Negative94 (49)30 (31.9)35 (37.2)29 (30.9)
 Positive98 (51)4 (4.1)22 (22.4)72 (73.5)
PNI<0.001
 Negative76 (39.6)33 (43.4)20 (26.3)23 (30.3)
 Positive116 (60.4)1 (0.9)37 (31.9)78 (67.2)
AJCC ypT category<0.001
 011 (5.7)11 (100)0 (0)0 (0)
 120 (10.4)12 (60)5 (25)3 (15)
 223 (12)5 (21.7)8 (34.8)10 (43.5)
 357 (29.7)5 (8.8)26 (45.6)26 (45.6)
 481 (42.2)1 (1.2)18 (22.2)62 (76.5)
AJCC ypN category<0.001
 055 (28.6)22 (40)18 (32.7)15 (27.3)
 136 (18.8)5 (13.9)12 (33.3)19 (52.8)
 250 (26)4 (13.9)19 (38)27 (54)
 351 (26.6)3 (5.9)8 (15.7)40 (78.4)
AJCC stage<0.001
 09 (4.7)9 (100)0 (0)0 (0)
 124 (12.5)14 (58.3)7 (29.2)3 (12.5)
 253 (27.6)7 (13.2)17 (32.1)29 (54.7)
 3106 (55.2)4 (3.8)33 (31.1)69 (65.1)
R0 resection0.1
 Yes159 (82.8)31 (19.5)49 (30.8)79 (49.7)
 No33 (17.2)3 (9.1)7 (21.2)23 (69.7)
Adjuvant chemotherapy0.975
 Not received59 (30.7)10 (16.9)17 (28.8)32 (54.2)
 Received133 (69.3)24 (18)39 (29.3)70 (52.6)
Table 6

Relationships between clinicopathological characteristics and pathological response evaluated by Becker-TRG system

CharacteristicsTotal cases (n = 192), no. (%)Becker-TRG P value
1a (n = 11), no. (%)1b (n = 23), no. (%)2 (n = 67), no. (%)3 (n = 91), no. (%)
Gender0.142
 Male139 (72.4)10 (7.2)20 (14.4)45 (32.4)64 (46)
 Female53 (27.6)1 (1.9)3 (5.7)22 (41.5)27 (50.9)
Age0.945
 < 55y89 (46.4)6 (6.7)10 (11.2)31 (34.8)42 (47.2)
 ≥ 55y103 (53.6)5 (4.9)13 (12.6)36 (35)49 (47.6)
Location0.562
 Esophagogastric junction44 (22.9)1 (2.3)4 (9.1)15 (34.1)24 (54.5)
 Proximal gastric71 (37)7 (9.9)8 (11.3)24 (33.8)32 (45.1)
 Distal gastric77 (40.1)3 (3.9)11 (14.3)28 (36.4)35 (45.5)
Maximal diameter of tumor bed0.003
 < 4.5 cm108 (56.2)9 (8.3)20 (18.5)35 (32.4)44 (40.7)
 4.5–8 cm64 (33.3)1 (1.6)3 (4.7)28 (43.8)32 (50)
 > 8 cm20 (10.4)1 (5)0 (0)4 (20)15 (75)
Histological differentiation0.003
 Well-moderate45 (23.4)4 (8.9)12 (26.7)14 (31.1)15 (33.3)
 Poor147 (76.6)7 (4.8)11 (7.5)53 (36.1)76 (51.7)
Laurén classification0.127
 Intestinal77 (40.1)4 (5.2)14 (18.2)25 (32.5)34 (44.2)
 Diffuse73 (38)7 (9.6)5 (6.8)24 (32.9)37 (50.7)
 Mixed42 (21.9)0 (0)4 (9.5)18 (42.9)20 (47.6)
LVI<0.001
 Negative94 (49)11 (11.7)19 (20.2)39 (41.5)25 (26.6)
 Positive98 (51)0 (0)4 (4.1)28 (28.6)66 (67.3)
PNI<0.001
 Negative76 (39.6)11 (14.5)22 (28.9)22 (28.9)21 (27.6)
 Positive116 (60.4)0 (0)1 (0.9)45 (38.8)70 (60.3)
AJCC ypT category<0.001
 011 (5.7)11 (100)0 (0)0 (0)0 (0)
 120 (10.4)0 (0)12 (60)5 (25)3 (15)
 223 (12)0 (0)5 (21.7)10 (43.5)8 (34.8)
 357 (29.7)0 (0)5 (8.8)29 (50.9)23 (40.4)
 481 (42.2)0 (0)1 (1.2)23 (28.4)57 (70.4)
AJCC ypN category<0.001
 055 (28.6)9 (16.4)13 (23.6)19 (34.5)14 (25.5)
 136 (18.8)0 (0)6 (16.7)16 (44.4)14 (38.9)
 250 (26)0 (0)3 (6)21 (42)26 (52)
 351 (26.6)2 (3.9)1 (2)11 (21.6)37 (72.5)
AJCC stage<0.001
 09 (4.7)9 (100)0 (0)0 (0)0 (0)
 124 (12.5)0 (0)14 (58.3)7 (29.2)3 (12.5)
 253 (27.6)2 (3.8)6 (11.3)21 (39.6)24 (45.3)
 3106 (55.2)0 (0)3 (2.8)39 (36.8)64 (60.4)
R0 resection0.234
 Yes159 (82.8)11 (6.9)20 (12.6)57 (35.8)71 (44.7)
 No33 (17.2)0 (0)3 (9.1)10 (30.3)20 (60.6)
Adjuvant chemotherapy0.912
 Not received59 (30.7)3 (5.1)6 (10.2)20 (33.9)30 (50.8)
 Received133 (69.3)8 (6)17 (35.3)47 (35.3)61 (45.9)
Relationships between clinicopathological characteristics and pathological response evaluated by Mandard-TRG system Relationships between clinicopathological characteristics and pathological response evaluated by JGCA-TRG system Relationships between clinicopathological characteristics and pathological response evaluated by CAP-TRG system Relationships between clinicopathological characteristics and pathological response evaluated by China-TRG system Relationships between clinicopathological characteristics and pathological response evaluated by Becker-TRG system

Tumor regression assessment

We assessed 192 patients using the five TRG systems respectively. According to Mandard-TRG system, there were 11 patients in grade 1, 23 in grade 2, 40 in grade 3, 78 in grade 4, and 40 in grade 5. According to JGCA-TRG system, there were 11 patients in grade 3, 63 in grade 2, 45 in grade 1b, 33 in grade 1a, and 40 in grade 0. According to CAP-TRG system, there were 11 patients in grade 0, 23 patients in grade 1, 40 patients in grade 2, and 118 patients in grade 3. According to China-TRG system, there were 34 patients in severe response grade, 57 in moderate response grade, and 101 in mild response grade. According to Becker-TRG system, there were 11 patients in grade 1a, 23 patients in grade 1b, 67 patients in grade 2, and 91 patients in grade 3 (Tables 2, 3, 4, 5 and 6).

Correlation between tumor regression and clinicopathological features

Tumor regression evaluated by all the five grading systems has been found significantly associated with histological differentiation, postsurgical T category, postsurgical N category, AJCC stage, LVI, PNI and tumor size (P < 0.05) (Tables 2, 3, 4, 5 and 6).

Survival analysis

One hundred and eighty-one patients were analyzed in survival analysis. At the final follow-up, 81 patients (44.8%) were alive with no evidence of recurrence, while 16 (8.8%) were alive with recurrence. Eighty-three patients (45.9%) had died due to disease recurrence, while 1 (0.5%) had died of unknown reason excluding disease recurrence. All of the five TRG systems, histological differentiation, postsurgical T category, postsurgical N category, AJCC stage, LVI, PNI, Laurén classification, R0 resection and tumor size were significant (P < 0.05) correlated with OS and PFS in univariate Cox regression analyses (Table 7). The overall and progression-free survival curves of five TRG systems were present in Figs. 1 and 2, respectively.
Table 7

Univariate Cox regression analyses

CharacteristicsOSPFS
HR95% CI P valueHR95% CI P value
Gender
 Male (reference)11
 Female1.1790.740–1.8760.4881.3090.859–1.9940.211
Age
 < 55y (reference)11
 ≥ 55y1.1200.903–1.3900.3030.8560.577–1.2700.441
Location
 Esophagogastric junction (reference)11
 Proximal gastric0.9520.555–1.6320.8570.8290.506–1.3580.456
 Distal gastric0.6340.360–1.1170.1150.6310.380–1.0460.074
Maximal diameter of tumor bed1.7121.275–2.299<0.0011.7091.304–2.239<0.001
Histological differentiation3.0571.617–5.7820.0012.6671.513–4.6990.001
Laurén classification
 Intestinal (reference)11
 Diffuse2.2281.339–3.7090.0021.8961.199–2.9990.006
 Mixed2.2061.216–4.0030.0091.9111.113–3.2800.019
LVI3.3182.089–5.270<0.0013.3242.180–5.069<0.001
PNI2.8781.750–4.733<0.0012.7241.737–4.271<0.001
AJCC ypT category1.8761.457–2.415<0.0011.7391.396–2.168<0.001
AJCC ypN category1.9461.572–2.408<0.0011.9181.578–2.330<0.001
AJCC stage2.4841.724–3.580<0.0012.2701.650–3.122<0.001
Mandard-TRG
 1 (reference)11
 20.980.244–3.9290.9771.2930.343–4.8770.704
 31.9560.568–6.7300.2872.1430.631–7.2830.222
 42.7170.836–8.8310.0963.1550.979–10.1680.054
 53.6821.094–12.3940.0354.5701.380–15.1320.013
JGCA-TRG
 3 (reference)11
 21.5310.457–5.1260.491.7820.539–5.8920.344
 1b2.6260.781–8.8310.1192.6210.786–8.7380.117
 1a2.8750.836–9.8840.0944.0221.199–13.4910.024
 03.6761.092–12.3710.0354.5561.376–15.0850.013
CAP-TRG
 0 (reference)11
 10.9790.244–3.9270.9771.2920.343–4.8730.705
 21.9530.568–6.7190.2882.1400.630–7.2720.223
 32.9960.937–9.5860.0643.5581.119–11.3110.032
China-TRG
 Severe response (reference)11
 Moderate response1.7190.808–3.6570.1601.6610.834–3.3080.149
 Mild response2.8561.450–5.6280.0022.8681.544–5.3280.001
Becker-TRG
 1a (reference)11
 1b0.9800.244–3.9270.9771.2920.343–4.8720.705
 22.2160.673–7.2940.1902.2950.702–7.5020.169
 33.1090.964–10.0280.0583.9641.239–12.6810.020
R0 resection
 Yes (reference)11
 No3.3822.022–5.659<0.0013.6562.315–5.774<0.001
Adjuvant chemotherapy
 Not received (reference)11
 Received1.0400.633–1.7070.8781.2270.774–1.9430.384
Fig. 1

Overall survival curves of five TRG systems, respectively. a Mandard-TRG, b JGCA-TRG, c CAP-TRG, d China-TRG and e Becker-TRG

Fig. 2

Progression-free survival curves of five TRG systems, respectively. a Mandard-TRG, b JGCA-TRG, c CAP-TRG, d China-TRG and e Becker-TRG

Univariate Cox regression analyses Overall survival curves of five TRG systems, respectively. a Mandard-TRG, b JGCA-TRG, c CAP-TRG, d China-TRG and e Becker-TRG Progression-free survival curves of five TRG systems, respectively. a Mandard-TRG, b JGCA-TRG, c CAP-TRG, d China-TRG and e Becker-TRG Postsurgical T category, postsurgical N category, R0 resection and LVI were independent predictors for OS, while LVI, postsurgical N category and R0 resection were independent predictors for PFS, revealed by backward multivariate Cox regression models (Table 8). None of the five tumor regression grading systems were found statistically significant in multivariate survival analysis. In Mandard-TRG system using univariate Cox analysis, the hazard ratio of no response grade was 3.682 and 4.57 in OS and PFS, respectively. In JGCA-TRG system using univariate Cox analysis, the hazard ratio of no response grade was 3.676 and 4.556 in OS and PFS, respectively (Table 7). In the Kaplan-Meier analysis, the median survival time of OS was 84.4 months for patients with Grade 2 in Mandard-TRG system, and 57.8 months for those with Grade 2 in JGCA-TRG system (Table 9).
Table 8

Multivariate Cox regression analyses

CharacteristicsOSPFS
HR95% CI P valueHR95% CI P value
Histological differentiation---1.6620.914–3.0220.096
LVI1.6510.976–2.7930.0621.7661.091–2.8610.021
AJCC ypT category1.3551.029–1.7840.031---
AJCC ypN category1.4871.168–1.8940.0011.4791.180–1.855<0.001
R0 resection2.3861.398–4.0730.0012.4571.516–3.985<0.001
Table 9

Comparison of median survival time between Mandard-TRG and JGCA-TRG

TRG systemsMedian for survival time
OSPFS
Mandard-TRG
 1Not reachedNot reached
 284.4Not reached
 351.842.4
 438.722.1
 524.312.8
JGCA-TRG
 3Not reachedNot reached
 257.851.8
 1b38.729.3
 1a30.89.6
 024.312.8
Multivariate Cox regression analyses Comparison of median survival time between Mandard-TRG and JGCA-TRG

Discussion

Neoadjuvant and adjuvant therapy have been applied to improve the outcome of localized advanced GC, especially in east Asia [11]. Preoperative therapy promoted R0 resection rates in some randomized studies [12]. Although the efficacy of preoperative chemotherapy could be partially reflected by the Response Evaluation Criteria in Solid Tumors (RECIST), RECIST is not always consistent with histopathological regression and prognosis. Thus the relationship among histopathological tumor regression evaluation, efficiency of the multimodality therapy and prognosis requires further illumination. Globally, there have been many kinds of histopathological tumor regression grading systems. Mandard et al. first published their five-tiered TRG system for esophageal carcinoma in 1994. It was reproducible and used widely in carcinomas of esophagus/esophagogastric junction and rectum, but there have been no published applications in GC yet. CAP recommended a simplified four-tiered TRG system based on Mandard-TRG system. In China, a three-tiered grading system is used to assess therapeutic response for solid malignancies. However, its applicability on GC remained unclear. Becker et al. proposed a semi-quantitative four-tiered TRG system in 2003, and then they proved the applicability on GC in 2011. In Japan, the wildly used method to evaluate pathological response is JGCA-TRG, of which the criteria for tumor regression separation are quite distinct from the other four TRG systems. In this study, 118 (61.4%) patients had mild or minimal tumor regression. Only 11 (5.7%) cases got complete regression without any residual tumor cells on the primary sites, but unfortunately 2 of them were found with residual lymph nodes metastasis, probably resulting in poor outcomes. Twenty-three (12.0%) patients had nearly complete regression with a few residual tumor cells. We supposed the patients who reached complete response should have a better prognosis while the patients who reached nearly complete response should have a worse prognosis. However the actual results did not confirm this. Agoston et al. defined pathological complete response as neither residual primary tumor nor residual lymph node metastasis existing [13]. They reviewed esophageal adenocarcinoma 93 cases with complete response and found that adequacy of histological examination of the tumor bed affected the prognosis. In our study, the number of tumor blocks ranged from 4 to 53 in the complete response cases, while the number ranged from 5 to 77 in the nearly complete response cases. The fewer blocks of some cases might indicate potentially insufficient tumor sampling. Meanwhile, in some other studies which emphasized on adequacy of gross sampling, the percentage of complete response in GC ranged from 1.2 to 3.6% [14-16]. Among the 23 nearly complete response cases in our study, only 5 were classified to postsurgical T3 or T4 categories, while the others were suspected to have earlier T categories before the preoperative therapy. This could be supposed to explain the different prognosis between patients who reached complete response and the patients who had nearly complete response. It is controversial on whether separating the complete response from the nearly complete response. Becker et al. separated the complete response category from the nearly complete response category and assessed separately, however, they combined them for survival analysis [9]. Chirieac et al. demonstrated their TRG system as an independent predictor on esophageal and esophagogastric junction cancer. They evaluated the residual tumor semi-quantitatively as 0% residue, 1–50% residue and >50% residue [17]. Becker et al. found the significance in multivariate analysis on the proportion of residual tumor between <10 and >10% in GC [9]. Both studies were based on large number of patients and long-term follow-up. On contrary, more studies did not demonstrate the independent role of TRG for prognosis. In our univariate survival analysis, all the five TRG systems showed statistical significance which was coincident with other studies [12, 14, 18, 19]. We collected exhaustive clinicopathological characteristics to establish the reliability of this study. The results indicated that all the TRG systems tightly correlated with LVI, postsurgical T and N categories, therefore the staging status and LVI would affect the statistical significance of the TRG systems in multivariate survival analysis. This could elucidate the absence of independent significance of the TRG systems. As compared with other grading systems, the hazard ratio of no/slightly response grade in both Mandard-TRG system and JGCA-TRG system revealed higher hazard of death and disease progression than that of severe response grade when using univariate Cox survival analysis. Furthermore, the main difference between the two five-tiered TRG systems is whether separating the category of nearly complete response from partial response. In Mandard-TRG system, the category of nearly complete response is separated, however, in JGCA-TRG system, it is not. Because the median survival time of patients with nearly complete response in Mandard-TRG system (84.4 months) was much longer than those with partial response in JGCA-TRG (57.8 months) (Table 9), separation of nearly complete response and partial response categories in Mandard-TRG system could be more reasonable for prognosis prediction.

Conclusions

This study analyzed five classic TRG systems on GC after neoadjuvant chemotherapy and revealed the significance of all the five TRG systems in univariate survival analysis. We recommend Mandard-TRG system in GC evaluation for prediction of survival.
  17 in total

1.  Surgical pathology stage by American Joint Commission on Cancer criteria predicts patient survival after preoperative chemoradiation for localized gastric carcinoma.

Authors:  Pooja R Rohatgi; Paul F Mansfield; Christopher H Crane; Tsung-Teh Wu; Punita K Sunder; William A Ross; Jeffrey S Morris; Peter W Pisters; Barry W Feig; Leonard L Gunderson; Jaffer A Ajani
Journal:  Cancer       Date:  2006-10-01       Impact factor: 6.860

2.  Paclitaxel-based chemoradiotherapy in localized gastric carcinoma: degree of pathologic response and not clinical parameters dictated patient outcome.

Authors:  J A Ajani; P F Mansfield; C H Crane; T T Wu; S Lunagomez; P M Lynch; N Janjan; B Feig; J Faust; J C Yao; R Nivers; J Morris; P W Pisters
Journal:  J Clin Oncol       Date:  2005-02-20       Impact factor: 44.544

3.  Japanese classification of gastric carcinoma: 3rd English edition.

Authors: 
Journal:  Gastric Cancer       Date:  2011-06       Impact factor: 7.370

4.  Prognostic significance of tumor regression after preoperative chemoradiotherapy for rectal cancer.

Authors:  Claus Rödel; Peter Martus; Thomas Papadoupolos; Laszlo Füzesi; Martin Klimpfinger; Rainer Fietkau; Torsten Liersch; Werner Hohenberger; Rudolf Raab; Rolf Sauer; Christian Wittekind
Journal:  J Clin Oncol       Date:  2005-10-24       Impact factor: 44.544

Review 5.  Adjuvant and/or neoadjuvant therapy for gastric cancer? A perspective review.

Authors:  Rebekka Schirren; Daniel Reim; Alexander R Novotny
Journal:  Ther Adv Med Oncol       Date:  2015-01       Impact factor: 8.168

6.  Response to neoadjuvant chemotherapy best predicts survival after curative resection of gastric cancer.

Authors:  A M Lowy; P F Mansfield; S D Leach; R Pazdur; P Dumas; J A Ajani
Journal:  Ann Surg       Date:  1999-03       Impact factor: 12.969

7.  [Relation between pathologic tumor response to preoperative radiotherapy and the prognosis in patients with esophageal carcinoma].

Authors:  Guang-fei Ou; Mei Wang; Lü-hua Wang; Wei-bo Yin; Xian-zhi Gu
Journal:  Zhonghua Zhong Liu Za Zhi       Date:  2003-05

8.  Histomorphology and grading of regression in gastric carcinoma treated with neoadjuvant chemotherapy.

Authors:  Karen Becker; James D Mueller; Christoph Schulmacher; Katja Ott; Ulrich Fink; Raymonde Busch; Knut Böttcher; J Rüdiger Siewert; Heinz Höfler
Journal:  Cancer       Date:  2003-10-01       Impact factor: 6.860

9.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

10.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

View more
  13 in total

1.  Histopathological regression after taxane based neoadjuvant chemotherapy in patients with resectable gastric or gastro-oesophageal junction adenocarcinoma.

Authors:  Abhishek Mitra; Shailesh V Shrikhande; Bhawna Sirohi
Journal:  Transl Gastroenterol Hepatol       Date:  2017-05-16

2.  Recurrence after preoperative chemotherapy and surgery for gastric adenocarcinoma: a multicenter study.

Authors:  I Mokadem; W P M Dijksterhuis; M van Putten; L Heuthorst; J M de Vos-Geelen; N Haj Mohammad; G A P Nieuwenhuijzen; H W M van Laarhoven; R H A Verhoeven
Journal:  Gastric Cancer       Date:  2019-04-04       Impact factor: 7.370

3.  Which is the optimal management for locally advanced gastric cancer patients with TRG 0 and 1 after R0 resection?

Authors:  Fei Ma; Yonglei Zhang; Liangqun Peng; Zhandong Zhang; Wei Yang; Junhui Chai; Bin Zhang; Sheqing Ji; Yawei Hua; Xiaobing Chen; Suxia Luo
Journal:  Ann Transl Med       Date:  2020-08

4.  Comparison of tumor regression grading systems for locally advanced gastric adenocarcinoma after neoadjuvant chemotherapy.

Authors:  Zi-Ning Liu; Yin-Kui Wang; Li Zhang; Yong-Ning Jia; Shan Fei; Xiang-Ji Ying; Yan Zhang; Shuang-Xi Li; Yu Sun; Zi-Yu Li; Jia-Fu Ji
Journal:  World J Gastrointest Oncol       Date:  2021-12-15

5.  Economic cost-utility analysis of stage-directed gastric cancer treatment.

Authors:  Arfon G Powell; Jennifer R Wheat; Catherine Eley; David Robinson; Stuart A Roberts; Wyn Lewis
Journal:  BJS Open       Date:  2021-11-09

6.  The Effect of Obesity on Response to Neoadjuvant Therapy in Locally Advanced Gastric Cancer.

Authors:  Aysegul Sakin; Suleyman Sahin; Abdullah Sakin; Mehmet Naci Aldemir; Irfan Bayram; Cetin Kotan
Journal:  Asian Pac J Cancer Prev       Date:  2020-09-01

7.  Prognostic Significance of Lymphatic, Venous and Perineural Invasion After Neoadjuvant Chemotherapy in Patients with Gastric Adenocarcinoma.

Authors:  Benjamin L Woodham; Jakub Chmelo; Claire L Donohoe; Anantha Madhavan; Alexander W Phillips
Journal:  Ann Surg Oncol       Date:  2020-03-26       Impact factor: 5.344

8.  Survival Time in Treatment Modalities of Gastric Carcinoma at King Khalid Hospital- Jeddah Saudi Arabia: a Retrospective Cohort Study.

Authors:  Saad Alshahrani; Faisal Baabbad; Majed Bahobail; Alaa Hawsawi; Essam Jastania; Saeed Bamousa; Ammar Shobair; Syed Faisal Zaidi
Journal:  Mater Sociomed       Date:  2020-12

Review 9.  Precancerous lesions of the stomach, gastric cancer and hereditary gastric cancer syndromes.

Authors:  Irene Gullo; Federica Grillo; Luca Mastracci; Alessandro Vanoli; Fatima Carneiro; Luca Saragoni; Francesco Limarzi; Jacopo Ferro; Paola Parente; Matteo Fassan
Journal:  Pathologica       Date:  2020-09

10.  Predictive value of NLR, TILs (CD4+/CD8+) and PD-L1 expression for prognosis and response to preoperative chemotherapy in gastric cancer.

Authors:  Ina Valeria Zurlo; Mattia Schino; Michele Basso; Maurizio Martini; Antonia Strippoli; Maria Alessandra Calegari; Alessandra Cocomazzi; Alessandra Cassano; Carmelo Pozzo; Mariantonietta Di Salvatore; Riccardo Ricci; Carlo Barone; Emilio Bria; Giampaolo Tortora; Luigi Maria Larocca
Journal:  Cancer Immunol Immunother       Date:  2021-05-19       Impact factor: 6.968

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.