Literature DB >> 27537382

Role of histological regression grade after two neoadjuvant approaches with or without radiotherapy in locally advanced gastric cancer.

Patricia Martin-Romano1, Jose J Sola2, Juan A Diaz-Gonzalez1, Ana Chopitea1, Yohana Iragorri1, Fernando Martínez-Regueira3, Mariano Ponz-Sarvise1, Leire Arbea1, Jose C Subtil4, David Cano5, Lucia Ceniceros1, Jairo Legaspi1, Jose Luis Hernandez3, Javier Rodríguez1.   

Abstract

BACKGROUND: The degree of histopathological response after neoadjuvant therapy in locally advanced gastric cancer (GC) is a key determinant of patients' long-term outcome. We aimed to assess the pattern of histopathological regression after two neoadjuvant approaches and its impact on survival times.
METHODS: Regression grade of the primary tumour (Becker criteria) and the degree of nodal response by a 4-point scale (grades A-D) were assessed. Grade A-true negative lymph nodes (LNs); grade B and C-infiltrated LNs with any or little evidence of nodal response; and grade D-complete pathological response in a previously infiltrated LN. A favourable pathological response was defined as Becker Ia-b and grade D.
RESULTS: From 2004 to 2014, 80 patients with GC (cT3-4/N+ by CT-scan/EUS) were treated with either preoperative chemotherapy (ChT, n=34) or chemoradiation (CRT, n=46). Patients in the CRT group had a higher likelihood of achieving a Becker Ia-b response (58 vs 32%, P=0.001), a grade D nodal regression (30 vs 6%, P=0.009) and a favourable pathological response (23 vs 3%; P=0.019). Patients with a grade D nodal response had a longer 5-year PFS and OS compared with those with a grade B or C response. Patients with a baseline negative LN status had similar outcomes irrespective of the preoperative therapy received (5-year OS; ChT vs CRT, 58 vs 51%, P=0.92).
CONCLUSIONS: Preoperative chemoradiation increases the likelihood of achieving favourable histopathological features that correlate with a 5-year OS>70% in GC patients.

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Year:  2016        PMID: 27537382      PMCID: PMC5023782          DOI: 10.1038/bjc.2016.252

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Although in recent decades both incidence of gastric cancer (GC) and related mortality have decreased, this malignancy still accounts for over 10% of cancer deaths and is currently the third most frequent cause of cancer-related death worldwide (Torre ). Surgery with microscopically negative margins (R0) remains the only potentially curative therapy for patients with localised resectable GC. However, most patients are diagnosed with stage II–III disease and long-term outcomes remain below 30–40% due to high rates of disease recurrence (Ychou ; Takahashi ). In this setting, several strategies aimed at increasing the likelihood of a R0 usually included chemotherapy, radiotherapy or both in the pre or postoperative setting, although the optimal therapeutic sequence has yet to be defined (Macdonald ; Cunningham ). Although perioperative chemotherapy is one standard of care, preoperative chemoradiotherapy in patients with locally advanced GC is still considered investigational. Nevertheless, several groups have reported their experience with this approach, with encouraging results in terms of R0 resection rates, pathological complete responses and long-term overall survival (OS; Ajani , 2005, 2006; Badgwell ). In this context, a promising line of research is the study of the impact of the degree of histopathological response after neoadjuvant therapy on patient outcomes. It has been suggested that such pathological feature, rather than baseline clinical stage, may predict disease control. The use of preoperative chemoradiation in oesophageal and gastroesophageal junction (GEJ) adenocarcinomas yield higher rates of major pathological responses when compared with those seen with neoadjuvant chemotherapy. Similar findings, although more limited and preliminary, seem true for GC patients (Stahl ; Van Hagen ). Previous data from our group study suggested a superior regression grade rate after induction chemotherapy followed by chemoradiotherapy in comparison with that seen with chemotherapy alone (Diaz-Gonzalez ). However, this analysis included patients with both GC and GEJ cancer, and an in-depth analysis of nodal regression grade was lacking. Given the lack of head-to-head comparisons between these neoadjuvant strategies, the primary aim of this study was to compare the degree of histopathological regressions responses in both, the tumour wall and the lymph nodes, in GC patients treated with neoadjuvant chemotherapy with or without radiotherapy. The secondary aim of this study was to assess whether the regression grade achieved after neoadjuvant therapy may predict long-term outcome.

Materials and methods

Patient characteristics

From October 2004 to July 2014, patients with clinical stage II–III GC treated at our institution with preoperative therapy followed by surgery were retrospectively reviewed. Inclusion criteria for neoadjuvant treatment were age from 18 to 75 years, presence of a locally advanced (cT3–4and/or N+) gastric adenocarcinoma according to the TNM system (American Joint Committee on Cancer, 7th edition), no other primary tumour in the previous 5 years, a good performance status (0–1 according to Eastern Cooperative Oncology Group (ECOG)), and adequate haematological, renal and liver function. Exclusion criteria were patients with a tumour arising in the GEJ (Siewert I–III) and those with non-adenocarcinoma histology, distant metastatic disease (M1), positive peritoneal cytology or peritoneal carcinomatosis, as were those considered unfit for the treatment protocol due to comorbidities. Preoperative therapy consisted of perioperative chemotherapy alone (ChT group) or induction chemotherapy followed by concurrent chemoradiotherapy (CRT group). A multidisciplinary team that included gastrointestinal surgeons, endoscopists, radiologists, and medical and radiation oncologists evaluated all patients. On the basis of patient's age, ECOG performance status, comorbidities and the clinical stage of the primary tumour, the most suitable therapeutic strategy was recommended. One approach, based on preliminary data from phase II trials (Ajani , 2005, 2006) was to offer preoperative chemoradiation to those patients who were fit, lacked comorbidities and had N+ disease on the baseline workup. Baseline patient evaluation included clinical examination, blood tests, upper gastrointestinal tract endoscopic ultrasound (EUS) with biopsy, and chest-abdominal computerised tomography-scan (CT-scan) to define the extent of the disease. CT-scan was performed to exclude distant metastases and to evaluate the presence of a gastric mass or gastric thickening and regional lymph nodes (N stage). EUS identified tumours penetrating at least the subserosa connective tissue (⩾T3) along with metastases in regional lymph nodes (N+) according to previously reported criteria (homogeneous hypoechoic pattern, sharply demarcated margin, rounded contour and size >10 mm; Catalano ). In the presence of suspicious signs of peritoneal disease (ascites or ⩾T4a), an exploratory laparoscopy was accomplished. A CT-scan ±EUS was performed to assess response after completion of neoadjuvant protocol. In the CRT group, radiological assessment was carried out after completion of both induction chemotherapy and chemoradiation, and before surgery.

Preoperative chemotherapy

All patients from ChT and CRT groups received chemotherapy on an outpatient basis with a pretreatment evaluation that consisted of physical examination and blood tests, treatment-induced adverse effects assessment and a regular clinical follow-up.

Preoperative radiotherapy

For radiotherapy planning, patients were immobilised in the supine position, and a planning CT-scan (slice thickness, 5–10 mm) was performed (Somatron Plus 4; Siemens Oncology Care Systems, Heidelberg, Germany). The target volumes and organs at risk were contoured on each of the axial CT slices in the Helax-TMS treatment planning system (Nucletron Scandinavia, Uppsala, Sweden) or in the ADAC Pinnacle treatment planning system (Philips Radiation Oncology Systems, Fitchburg, WI, USA). Three-dimensional conformal external beam radiotherapy (93.5%) or intensity-modulated technique (IMRT; 6.5%) was used. The clinical target volume included the gross tumour volume along with the entire stomach and the draining locoregional lymph nodes (perigastric, suprapancreatic, coeliac, splenic hilar, porta hepatis and pancreatoduodenal). Conformation and field arrangement ensured that the organs at risk (kidneys, heart, liver and spinal cord) received tolerable doses. Treatment planning followed International Commission on Radiation Units and Measurements recommendations. In general, three fields with 15-MV photons were employed to deliver 45 Gy over 5 weeks with conventional daily fractions of 1.8 Gy, 5 days per week. Seven coplanar, equally spaced beams were applied in a variable number of segments in IMRT plans. All patients received fluoropyrimidine-based concurrent chemotherapy. Patients were evaluated weekly with physical examination, blood test monitoring and therapy-induced toxicity management.

Surgery

Surgery was scheduled 4 to 6 weeks after the completion of the neoadjuvant treatment. Location and extent of the primary tumour determined the type of surgery to be used, which included either distal-subtotal gastrectomy or total gastrectomy as indicated by the multidisciplinary board criteria. Spleen preservation was performed. An attempt was made to perform a D2-type nodal dissection in all patients.

Toxicity

Toxicity during ChT and CRT was graded according to the National Cancer Institute Common Toxicity Criteria v4.0.

Pathological response assessment

A gastrointestinal pathologist (JJS) performed the pathological examination of all the surgical specimens. TNM status was assessed postoperatively in accordance with the 7th edition of the AJCC cancer staging. A complete pathological response (pCR) was considered when no evidence of residual tumour was found in the surgical specimen (ypT0 ypN0). Histological regression grade of the primary tumour was assessed according to the Becker criteria: grade 1a (complete tumour regression), grade 1b (<10% of vital tumour tissue), grade 2 (residual tumour per tumour bed of 10–50%) and grade 3 (>50% of viable tumour remaining; Becker ). Becker grades Ia and Ib were considered to be a major pathological response. The degree of nodal response was evaluated using a four-point scale derived from the Miller and Payne grading system for breast cancer (Smith ). The scale describes the pathological features of lymph nodes after neoadjuvant therapy as follows: Grade A—true negative lymph nodes with no evidence of preoperative therapy effect; Grade B—infiltrated lymph nodes with no evidence of any effect of preoperative therapy; Grade C—infiltrated lymph nodes with evidence of some degree of histological regression due to preoperative therapy; Grade D—complete pathological response in a previously infiltrated node. A favourable pathological response was defined as a combination of Becker grade 1a–b response plus grade D nodal regression. Downstaging was defined as a reduction in the pathological T and/or N stage (ypTNM) compared with baseline clinical staging (cTNM).

Statistics

Differences in the proportions were calculated with a χ2-test with Fisher's correction when needed by the number of cases. Patient pathological responses were cross-tabulated by age, gender, ECOG performance status, tumour location, tumour histological grading, Lauren classification, baseline T and N stages, type of neoadjuvant treatment group (ChT vs CRT) and the type of systemic chemotherapy regimen. Any association between each of these factors and response was examined using a χ2-test or Fisher's exact test. Progression-free survival (PFS) was calculated from the date of diagnosis to the date of progression (local and/or distant), death or last contact. OS was determined from diagnosis to time of death or last contact when still alive. Survival times were analysed by treatment group and subgroups of pathological tumour and/or nodal response. The statistical analysis was performed using SPSS statistical software (version 20.0 for Windows; SPSS, Chicago, IL, USA). All statistical tests were conducted at a two-sided significance level of 0.05. Written informed consent was obtained in all cases. The institutional review board approved this retrospective analysis.

Results

Patient groups

Patients' baseline characteristics are described in Table 1. The two groups were well balanced, except for sex and EUS-nodal stage (more men, uN+ and AJCC stage III patients in the CRT group).
Table 1

Baseline characteristics

CharacteristicCT group (n (%))CRT group (n (%))Global series (n %))P value (CT vs CRT)
Number of patients344680
Age (median)64.561.562 (36–83)0.46
Gender    
 Male18 (52.9)35 (76.1)53 (66)0.03
 Female16 (47.1)11 (23.9)27 (34) 
ECOG    
 03 (8.8)2 (4.3)5 (5)0.67
 131 (91.2)44 (95.7)75 (95) 
Location    
 Antrum17 (50)25 (54.3)42 (52.5)0.39
 Body17 (50)19 (41.4)36 (45) 
 Pylorus2 (4.3)2 (2.5) 
Histologic grade    
 Well differentiated1 (3)1 (2.2)2 (2.5)0.82
 Moderately differentiated13 (38.2)17 (37)30 (37.5) 
 Poorly differentiated20 (58.8)28 (60.8)48 (60) 
Lauren histologic classification    
 Diffuse20 (68.8)25 (54.3)45 (56)0.69
 Intestinal14 (41.2)21 (45.7)35 (44) 
Baseline EUS-T stage    
 T21 (2.9)1 (1.3)0.94
 T323 (67.6)36 (78.3)59 (73.7) 
 T410 (31.4)10 (21.7)20 (25) 
  T4a9 (26.5)6 (13)15 (18.7) 
  T4b1 (2.9)4 (8.7)5 (6.3) 
Baseline EUS-N stage    
 N015 (44.1)5 (10.9)20 (25)0.001
 N+19 (55.9)41 (89.1)60 (75) 
Exploratory laparoscopy20 (43.5%)20 (25%)<0.001
AJCC stage    
 II16 (47)5 (10.9)21 (26.3)<0.001
 III18 (53)41 (89.1)59 (73.7) 

Abbreviations: AJCC=American Joint Committee on Cancer; CRT=chemoradiation; CT=chemotherapy; ECOG=Eastern Cooperative Oncology Group; EUS-N=endoscopic ultrasound-nodal stage; EUS-T=endoscopic ultrasound-tumour stage. Bold values represent statistically significant covariates.

Preoperative therapy

In the ChT group, 34 patients were evaluated. Chemotherapy encompassed trial protocols of oxaliplatin-fluoropyrimidines (n=11) and off-protocol treatment with taxane-based therapy including docetaxel-oxaliplatin-capecitabine (n=15) and paclitaxel-cisplatin-5FU (n=8). The median number of cycles administered was 3 (range 2–6). After the end of ChT, responses were assessed by CT-scan (CR 9% PR 29% SD 24%) and/or EUS (response 74% no response 14% NA 12%). In the CRT group, 46 patients were assessed. Induction chemotherapy included trial protocols of oxaliplatin-fluoropyrimidines (n=3), ECF (n=1), CF (n=1) and off-protocol treatment with taxane-based therapy including docetaxel-oxaliplatin-capecitabine (n=19), FLOT (n=12) and paclitaxel-cisplatin-5FU (n=10). The median number of induction chemotherapy cycles was 3 (range 2–5). During CRT, mean dose of EBRT administered was 44.5 Gy (range, 37.8–46), and the median treatment length was 34 days (range, 29–43). At the completion of the whole-neoadjuvant approach, responses were evaluated with CT-scan (CR 11% PR 46% SD 37% PD 2% NA 4%) and/or EUS (response 67% no response 16% NA 17%). During CRT, 13 patients (28%) required admission to hospital: 2 patients (4%) due to asthenia; 3 patients (7%) for asthenia and anorexia; 4 patients (9%) for asthenia, anorexia and mucositis; 3 patients (7%) for asthenia, anorexia and gastritis; and 1 patient (2%) for cardiac insufficiency. Eight patients admitted to hospital required total parenteral nutrition. No grade IV toxicities were observed. Concurrent chemotherapy was completed in 31 patients (67%). Six patients (13%) needed a break during radiotherapy. Four patients (9%) did not receive the initially planned radiotherapy due to toxicity. Treatment-induced adverse events are listed in Supplementary Table 1. In all, 77 patients (96%) underwent surgery. On an intend-to-treat basis an R0 resection was achieved in 73 patients (91%). Three patients (4%) were not operated, all of them from the CRT group. One patient developed systemic relapse in the preoperative staging. The other two patients achieved radiological stable disease but unresectability criteria were observed in the operating room. A R0 resection rate above 90% was achieved in both groups, with no differences between them (P=0.81). In the CRT group, 1 patient (2%) died from a suture dehiscence at day 7 from surgery and 2 patients (7%) experienced operative complications: small bowel perforation and mesocolon bleeding. In the ChT group, 1 patient (3%) presented an anastomotic bleeding (Supplementary Table 2).

Pathological analysis

Pathological examination of the surgical specimens (Table 2) revealed a pCR in 9 patients: 3 patients (9%) from the ChT group, and 6 patients (14%) from the CRT group (P=0.92). Patients receiving CRT had a higher likelihood of achieving a major pathological response (Becker 1a–b; 58 vs 32% P=0.001). A favourable pathological response (Becker 1a–b plus grade D nodal regression) was noted in 11 patients: 1 (3%) in the ChT group and 10 (23%) in the CRT group (P=0.019).
Table 2

Pathological characteristics according to the type of preoperative schedule received (n=77)

 CT group (n=34 (%))CRT group (n=43 (%))P value (CT vs CRT)
AJCC pT stage   
 pT03 (8.8)6 (13.9)0.92
 pT14 (11.8)2 (4.7) 
 pT26 (17.7)11 (25.6) 
 pT317 (50)17 (39.5) 
 pT4a3 (8.8)5 (11.6) 
 pT4b1 (2.9)2 (4.7) 
AJCC pN stage   
 pN017 (50)25 (58.1)0.84
 pN+17 (50)18 (41.9) 
Tumour regression grade   
 1a3 (8.8)6 (13.9)0.001a
 1b8 (23.5)19 (44.2) 
 28 (23.5)17 (39.5) 
 315 (44.2)1 (2.4) 
Nodal regression grade   
 A17 (50)12 (27.9)0.005b
 B7 (20.6)6 (14) 
 C8 (23.5)12 (27.9) 
 D2 (5.9)13 (30.2) 
R0 resection32 (94.1)41 (95.3)0.81
Favourable pathological responsec1 (2.9)10 (23.3)0.019
Tumour and/or nodal pathological responsed12 (35.3)28 (65.1)0.009
AJCC pathological stage   
 I–II26 (76.5)32 (74.4)0.84
 III8 (23.5)11 (25.6) 
TN downstaging   
 Yes23 (67.6)33 (76.7)0.37
 No11 (32.4)10 (23.3) 

Abbreviations: AJCC=American Joint Committee on Cancer; CRT=chemoradiation; CT=chemotherapy; TN=tumour and nodal. Bold values represent statistically significant covariates.

Tumour regression grade 1a–b vs 2–3: P=0.024.

Nodal regression grade A, B, C vs D; P=0.009.

Tumour regression grade 1a–b with nodal regression grade D.

Tumour regression grade 1a–b and/or nodal regression grade D.

No significant differences were found in the proportion of tumour-free lymph nodes in either treatment group (ypN+: 50% in the ChT group vs 58% in the CRT group; P=0.52). However, grade D nodal regression was more frequently observed in the CRT group (6 vs 30% P=0.009). Forty patients (52%) achieved a Becker 1a–b regression grade and/or a grade D nodal regression: 35% in the ChT group and 65% in the CRT group (P=0.009). A downstaging in resected patients was observed in 56 patients (73%). Overall, downstaging was similar in both treatment arms (P=0.37), as was the final AJCC pathological stage (P=0.84).

Prognostic factors

Patients' characteristics (age, gender and ECOG performance status), tumour characteristics (histologic classification, baseline clinical T and N stage), and treatment-related characteristics (ChT vs CRT, and type of chemotherapy regimen) were analysed in order to identify potential predictors of achieving a favourable pathological response. As shown in Table 3, the use of preoperative CRT was the only statistically significant variable (23 vs 3% P=0.019).
Table 3

Association between baseline clinical factors and achievement of a favourable pathological response

Covariaten=77 (%)Favourable pathological response (n=11 (%))P-value
Gender
Male50 (64.9)6 (7.8)0.425
Female27 (35.1)5 (6.5) 
ECOG
05 (6.5)1 (1.3)0.548
172 (93.5)10 (12.9) 
Lauren histological classification
Diffuse44 (57.1)7 (9.1)0.749
Intestinal33 (42.9)4 (5.2) 
Baseline EUS-T stage
T21 (1.3)0.262
T357 (74)10 (12.9) 
T4a–b19 (24.7)1 (1.3) 
Baseline EUS-N stage
N019 (24.7)0.056
N+58 (75.3)11 (14.3) 
Baseline AJCC stage
I–II20 (26)0.057
III57 (74)11 (14.3) 
Preoperative treatment
CT34 (44.2)1 (1.3)0.019
CRT43 (55.8)10 (12.9) 
CT regimen
Taxane based61 (79.2)0.107
Non-taxane based16 (20.8)11 (14.3) 

Abbreviations: AJCC=American Joint Committee on Cancer; CRT=chemoradiation; CT=chemotherapy; ECOG=Eastern Cooperative Oncology Group; EUS-N=endoscopic ultrasound-nodal stage; EUS-T=endoscopic ultrasound-tumour stage. Bold values represent statistically significant covariates.

Patients' long-term outcome

After a median follow-up of 66 months (range, 5–105 months), median PFS was 48 months and median OS was 59 months. The 5-year actuarial PFS and OS rates were 49 and 48%, respectively. Six patients died without evidence of disease relapse during the follow-up period; the causes were a postoperative complication after surgery of the stomach (1 patient), a bowel perforation after 14 months of follow-up (1 patient), a second tumour (1 patient), a traumatic head injury (1 patient) and traffic accident (2 patients). There were no statistically significant differences between the two neoadjuvant strategies neither in median PFS (CT vs CRT; NR vs 48 months, P=0.56) nor in median OS (ChT vs CRT; 51 vs 71 months; P=0.24, Figure 1).
Figure 1

PFS (A) and OS (B) according to preoperative treatment from the global series (n=80).

Survival times were also calculated according to pathological features. Five-year actuarial PFS was significantly longer in ypN0 patients compared to ypN+ patients (70 vs 31%, P=0.01), as was the 5-year actuarial OS (58 vs 40% P=0.03). However, 5-year actuarial PFS for Becker 1a–b was similar to Becker 2–3 (55 vs 47% P=0.39) along with 5-year OS (55 vs 46% P=0.49). In a subgroup analysis, we excluded patients with a grade A nodal regression (truly negative LN from baseline) to rule out the impact of the degree of pathological nodal response in patients' outcome. Patients with a complete nodal response (grade D) showed an improvement in 5-year OS (64 vs 40% P=0.066) and PFS (79 vs 31% P=0.043) compared with that seen in patients with partial or no nodal response (grades B and C; Figure 2). There was a trend towards higher 5-year actuarial PFS and OS rates for patients with favourable pathological response (PFS 75 vs 38%, P=0.31; OS 60 vs 31%, P=0.17; Figure 2). No survival differences were observed between patients with grades A or D nodal regression in either 5-year PFS (64 vs 79% P=0.48) or 5-year OS (54 vs 64% P=0.59).
Figure 2

Survival according to pathological responses. PFS (A) and OS (B) according to nodal response (excluding grade A patients; n=48). PFS (C) and OS (D) according to favourable pathological response (Becker 1a–b and grade D, excluding grade A patients; n=48). PFS (E) and OS (F) according to tumour and nodal response (Becker 1a–b and grade A and D patients; n=77).

Long-term outcome of patients with Becker 1a–b and either grade A or D nodal regression was similar (5-year PFS 76 and 72%, respectively); therefore, we decided to evaluate them jointly, for statistical purposes. Patients achieving a Becker 1a–b response and either grade A or D nodal regression experienced a survival advantage in terms of 5-year PFS (75 vs 41% P=0.025) and OS (66 vs 42% P=0.011) when compared with that seen in the rest of the patients (Figure 2). There were no survival differences in patients with grade A nodal response regardless of the neoadjuvant treatment received in either 5-year PFS (ChT 53% CRT 80% P=0.45) or 5-year OS (ChT 58% CRT 51%, P=0.92; Figure 3).
Figure 3

PFS (A) and OS (B) by treatment group in patients with nodal response grade A (n=29).

Five-year actuarial PFS was significantly longer in patients with a pathological downstaging (79 vs 41% P=0.027). A statistical trend was also found for these patients in terms of 5-year OS (73 vs 41% P=0.051). In addition, pathological stage I–II patients had a longer 5-year PFS and OS rates than stage III patients (PFS 63 vs 23% P=0.003; OS 60 vs 28%, P=0.019).

Discussion

Preoperative chemotherapy in the management of GC patients is a well-accepted approach that has correlated with an improved 5-year OS compared with that seen with surgery alone. Conversely, the use of preoperative chemoradiation is currently considered investigational in GC, with only scarce phase II data are available. Potential benefits of neoadjuvant CRT include its ability to increase the rate of R0 resections and major pathological responses (Ajani , 2005, 2006). In the present analysis, we aimed to evaluate the patterns of pathological response in locally advanced GC patients who received either chemotherapy (ChT group) or induction chemotherapy followed by chemoradiotherapy (CRT group) prior to surgery. The impact of the pathological response on patients' long-term outcome was also analysed. According to our results, after surgery on an intent-to-treat basis, an R0 resection rate >90% was achieved in both groups (ChT and CRT), which is in line with other studies using these neoadjuvant approaches. These results were particularly promising in the CRT group, even though almost 90% of the patients were EUS-N+, 22% had T4 tumours and ∼70% had a poorly differentiated histology. Nevertheless, these data should be viewed with caution, given its retrospective exploratory nature and the limited number of patients analysed. The prognostic relevance of tumour downstaging in GC patients treated with a neoadjuvant approach has been described (Davies ), and a pathological complete response has consistently been associated with excellent long-term outcomes (Badgwell ). The prognostic role of the grade of histological regression within the tumour wall, however, is more controversial, with some reports suggesting that this variable has no effect on patients' disease-specific survival (Mansour ; Fujitani ). Several attempts have been made to evaluate the degree of pathological remission in upper GI malignancies, but no grading system has been developed to date to quantify the magnitude of therapy-induced nodal regression in GC patients (Becker , 2011). This seems an important task, since some reports have described the independent prognostic significance of the degree of tumour response within the lymph nodes (Ott ). The grading system used in our work, adapted from Smith in breast cancer, may facilitate the histologic assessment of this residual disease. Grade A and D responses were observed in ypN0 patients, with a mandatory clarification: the pathological features of grade D patients indicate positive lymph nodes at diagnosis. Indeed, after patients with grade A nodal regression were excluded, 5-year PFS and OS estimates were significantly longer for patients with grade D responses than for those with grade B or C nodal responses (PFS P=0.066; OS P=0.043). This suggests that not only nodal response but also the quality of that response correlates with patients' outcome. Results from our study revealed a higher rate of responsive lymph nodes in the CRT group, which is consistent with the ability of radiation to achieve nodal sterilisation (Macdonald ). No survival differences in either PFS or OS were observed between patients with grades A or D nodal regression. These data reinforce the idea of the favourable prognostic impact for ypN0 patients, either because patients have truly negative lymph nodes before the start of therapy or because preoperative therapy achieved a pathologically complete nodal response. The 5-year OS in this subgroup is remarkable and makes ypN0 a good surrogate marker for long-term outcome. The use of chemoradiation significantly increased the likelihood of achieving a pathological tumour response graded Becker 1a–b (58 vs 32% P=0.001); these data support our previous results (Diaz-Gonzalez ). Chemoradiation was also correlated with a five-fold increase in the probability of accomplishing a grade D nodal regression (30 vs 6% P=0.005), and these two features correlated with a 5-year OS above 70%. Nevertheless, the addition of preoperative radiotherapy did not uniformly result in a survival advantage in our patient population. This fact may be partly attributable to the unbalanced baseline characteristics. Patients in the CRT group had larger tumours and more frequent nodal involvement, as reflected by the percentage of grade A nodal regression in both groups (28 vs 50%, P=0.005). In addition, postoperative lymph node status and the degree of nodal regression are not the only prognostic indicators in GC patients. The ratio of positive to total lymph nodes harvested, the presence of nodal micrometastasis, perineural or vascular invasion (Mansour ; Kutlu ) and the new molecular classification and alterations in relevant signalling pathways are all factors that warrant consideration in larger prospective trials (Cancer Genome Atlas Research Network, 2014; Cui ). One of the major issues of concern with the use of preoperative radiation therapy is toxicity. Although treatment compliance was high and no grade 4 toxicities were recorded, almost 30% of our patients required readmission due to CRT-induced toxicity. Strict eligibility and intensive clinical follow-up seem mandatory in an attempt to improve tolerance and to balance toxic effects and efficacy. On the other hand, rates of morbidity and mortality in the CRT group were 7 and 2%, respectively. Radiation field or dose administered in these patients were consistent to recommended constrains and thus, these complications were unexpected and may not be related to the radiation therapy. Indeed, morbidity and mortality rates of 7–47% and 3–10%, respectively, have been described with preoperative strategies (Ajani , 2005, 2006; Cunningham ; Stahl ; Ychou ). Another argument in favour of more precisely quantifying the amount of residual tumour within LNs is the possibility of identifying a subgroup of truly negative LNs from baseline, whose clinical outcome would be excellent irrespective of the preoperative therapy administered. Indeed, according to our results, patients with a grade A nodal response had similar survival outcomes with ChT and CRT (PFS P=0.45; OS P=0.92). This may point to a limited value of adding radiation therapy in the neoadjuvant strategy of those patients with a truly negative lymph node status. On the other hand, radiation increases the likelihood of achieving a grade D nodal regression, a known indicator of long-term outcome. Accurate preoperative assessment of the nodal stage seems then to be a major challenge in the attempt to provide a tailored management plan for these patients. One recent study reported that clinical response classified by a combination of CT-scan and EUS correlated with prognosis in GEJ patients treated with neoadjuvant chemotherapy and interestingly that preoperative clinical and histopathological responses were also strongly correlated (Blank ). However, the value of these image modalities seems limited in patients receiving chemoradiotherapy, given the difficulty in discriminating between residual tumour and post-radiation changes. Moreover, several authors have found a poor correlation between clinical evaluation of the lymph nodes and tumour regression grade (Kurokawa ; Kinoshita ). Whether alternative radiological evaluations, such as the combination of EUS and laparoscopic ultrasonography might increase the current accuracy deserves further research. The main limitations of the present study include its retrospective nature, the small number of patients and the fact that it was conducted at a single institution, so results should be taken with caution. Nevertheless, in the absence of prospective randomised studies, our results suggest that the degree of pathological regression may be a good surrogate of preoperative treatment efficacy. Moreover, long-term survival seems to be influenced by tumour and nodal regression grade. Further prospective studies are required to identify patients who will benefit from preoperative chemoradiation.

Conclusions

In conclusion, induction chemotherapy followed by chemoradiation in the preoperative setting in GC patients seems to increase the likelihood of achieving favourable histopathological features, which might eventually impact long-term outcome. Further research in order to establish predictive factors to individualise adjunct therapies to surgery is warranted.
  26 in total

1.  Posttherapy nodal status, not graded histologic response, predicts survival after neoadjuvant chemotherapy for advanced gastric cancer.

Authors:  Kazumasa Fujitani; Masayuki Mano; Motohiro Hirao; Yoshinori Kodama; Toshimasa Tsujinaka
Journal:  Ann Surg Oncol       Date:  2011-12-21       Impact factor: 5.344

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.  Predictors of Survival in Patients with Resectable Gastric Cancer Treated with Preoperative Chemoradiation Therapy and Gastrectomy.

Authors:  Brian Badgwell; Mariela Blum; Jeannelyn Estrella; Yi-Ju Chiang; Prajnan Das; Aurelio Matamoros; Keith Fournier; Paul Mansfield; Jaffer Ajani
Journal:  J Am Coll Surg       Date:  2015-04-15       Impact factor: 6.113

4.  Comprehensive characterization of the genomic alterations in human gastric cancer.

Authors:  Juan Cui; Yanbin Yin; Qin Ma; Guoqing Wang; Victor Olman; Yu Zhang; Wen-Chi Chou; Celine S Hong; Chi Zhang; Sha Cao; Xizeng Mao; Ying Li; Steve Qin; Shaying Zhao; Jing Jiang; Phil Hastings; Fan Li; Ying Xu
Journal:  Int J Cancer       Date:  2014-12-03       Impact factor: 7.396

5.  Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel.

Authors:  Ian C Smith; Steven D Heys; Andrew W Hutcheon; Iain D Miller; Simon Payne; Fiona J Gilbert; Antoinne K Ah-See; Oleg Eremin; Leslie G Walker; Tarun K Sarkar; S Peter Eggleton; Keith N Ogston
Journal:  J Clin Oncol       Date:  2002-03-15       Impact factor: 44.544

6.  Metastatic lymph node ratio successfully predicts prognosis in western gastric cancer patients.

Authors:  Onur C Kutlu; Mitchell Watchell; Sharmila Dissanaike
Journal:  Surg Oncol       Date:  2015-03-24       Impact factor: 3.279

7.  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

8.  Post-therapeutic response evaluation by a combination of endoscopy and CT scan in esophagogastric adenocarcinoma after chemotherapy: better than its reputation.

Authors:  Susanne Blank; Florian Lordick; Franz Bader; Maria Burian; Martin Dobritz; Lars Grenacher; Karen Becker; Wilko Weichert; Rupert Langer; Leila Sisic; Annika Stange; Dirk Jäger; Markus Büchler; Thomas Bruckner; Jörg Siewert; Katja Ott
Journal:  Gastric Cancer       Date:  2014-04-11       Impact factor: 7.370

9.  Tumor stage after neoadjuvant chemotherapy determines survival after surgery for adenocarcinoma of the esophagus and esophagogastric junction.

Authors:  Andrew R Davies; James A Gossage; Janine Zylstra; Fredrik Mattsson; Jesper Lagergren; Nick Maisey; Elizabeth C Smyth; David Cunningham; William H Allum; Robert C Mason
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

10.  Comprehensive molecular characterization of gastric adenocarcinoma.

Authors: 
Journal:  Nature       Date:  2014-07-23       Impact factor: 49.962

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  12 in total

1.  Preoperative Concurrent Chemoradiotherapy Versus Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer: Phase II Randomized Study.

Authors:  Xin Wang; Dong-Bing Zhao; Lin Yang; Yihebali Chi; Hong Zhao; Li-Ming Jiang; Jun Jiang; Yuan Tang; Ning Li; Wen-Yang Liu; Li-Zhou Dou; Shuang-Mei Zou; Li-Yan Xue; Jian-Song Ren; Yan-Tao Tian; Xu Che; Chun-Guang Guo; Xiao-Feng Bai; Yue-Min Sun; Shu-Lian Wang; Yong-Wen Song; Yue-Ping Liu; Hui Fang; Ye-Xiong Li; Jing Jin
Journal:  Front Oncol       Date:  2022-04-29       Impact factor: 5.738

Review 2.  Treatment Strategies of Gastric Cancer-Molecular Targets for Anti-angiogenic Therapy: a State-of-the-art Review.

Authors:  Magdalena Tyczyńska; Paweł Kędzierawski; Kaja Karakuła; Jacek Januszewski; Krzysztof Kozak; Monika Sitarz; Alicja Forma
Journal:  J Gastrointest Cancer       Date:  2021-03-24

3.  Synchronous Gastrointestinal Tumor and Abdominal Aortic Aneurysm or Dissection Treated with Endovascular Aneurysm Repair Followed by Tumor Resection.

Authors:  Bo Zhang; Ketong Wu; Yang Liu; Haiyang Lai; Zhaofei Zeng
Journal:  Gastroenterol Res Pract       Date:  2019-01-06       Impact factor: 2.260

4.  Significance of tumour regression in lymph node metastases of gastric and gastro-oesophageal junction adenocarcinomas.

Authors:  Daniel Reim; Alexander Novotny; Helmut Friess; Julia Slotta-Huspenina; Wilko Weichert; Katja Ott; Bastian Dislich; Sylvie Lorenzen; Karen Becker; Rupert Langer
Journal:  J Pathol Clin Res       Date:  2020-05-13

5.  Prognostic Value of Tumor Regression Grading in Patients Treated With Neoadjuvant Chemotherapy Plus Surgery for Gastric Cancer.

Authors:  Jian-Wei Xie; Jun Lu; Bin-Bin Xu; Chao-Hui Zheng; Ping Li; Jia-Bin Wang; Jian-Xian Lin; Qi-Yue Chen; Long-Long Cao; Mi Lin; Ru-Hong Tu; Ze-Ning Huang; Ju-Li Lin; Mark J Truty; Chang-Ming Huang
Journal:  Front Oncol       Date:  2021-07-26       Impact factor: 6.244

Review 6.  Lymph Node Involvement in Advanced Gastric Cancer in the Era of Multimodal Treatment-Oncological and Surgical Perspective.

Authors:  Zuzanna Pelc; Magdalena Skórzewska; Karol Rawicz-Pruszyński; Wojciech P Polkowski
Journal:  Cancers (Basel)       Date:  2021-05-20       Impact factor: 6.639

7.  Tumor Regression Grade Predicts Survival in Locally Advanced Gastric Adenocarcinoma Patients with Lymph Node Metastasis.

Authors:  Yilin Tong; Yanmei Zhu; Yan Zhao; Zexing Shan; Jianjun Zhang; Dong Liu
Journal:  Gastroenterol Res Pract       Date:  2020-07-18       Impact factor: 2.260

Review 8.  Conversion Surgery for Stage IV Gastric Cancer.

Authors:  Fei Zhang; Xuanzhang Huang; Yongxi Song; Peng Gao; Cen Zhou; Zhexu Guo; Jinxin Shi; Zhonghua Wu; Zhenning Wang
Journal:  Front Oncol       Date:  2019-11-07       Impact factor: 6.244

9.  Evaluation and Comparison of Predictive Value of Tumor Regression Grades according to Mandard and Becker in Locally Advanced Gastric Adenocarcinoma.

Authors:  Yilin Tong; Yanmei Zhu; Yan Zhao; Zexing Shan; Dong Liu; Jianjun Zhang
Journal:  Cancer Res Treat       Date:  2020-08-10       Impact factor: 4.679

10.  Lymph node response to chemoradiotherapy in oesophageal cancer patients: relationship with radiotherapy fields.

Authors:  Willem J Koemans; Ruben T H M Larue; Maximilian Kloft; Jessica E Ruisch; Inge Compter; Robert G Riedl; Lara R Heij; Wouter van Elmpt; Maaike Berbée; Jeroen Buijsen; Philippe Lambin; Meindert N Sosef; Heike I Grabsch
Journal:  Esophagus       Date:  2020-09-05       Impact factor: 4.230

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