Literature DB >> 32411232

GASC1-Adapted Neoadjuvant Chemotherapy for Resectable Esophageal Squamous Cell Carcinoma: A Prospective Clinical Biomarker Trial.

Ruinuo Jia1,2, Youjia Mi1, Xiang Yuan1, Dejiu Kong1, Wanying Li1, Ruonan Li1, Bingbing Wang1, Yafei Zhu1, Jinyu Kong1, Zhikun Ma1,3, Na Li1, Qiangjian Mi1, Shegan Gao1,2.   

Abstract

Neoadjuvant chemotherapy (NCT) is a standard care for esophageal squamous cell carcinoma (ESCC), but the efficacy is unsatisfactory. Cancer stem cells (CSCs) play key roles in chemotherapy resistance. Gene amplified in squamous cell carcinoma 1 (GASC1) is a neoteric gene in stemness maintaining of ESCC. We aimed to reveal whether GASC1 could be a predictive biomarker for NCT in ESCC. ESCC patients (T2-4N0-2M0) were evaluated for GASC1 expression using immunohistochemical staining and classified as GASC1-low group (GLG) and GASC1-high group (GHG). NCT was delivered in two cycles and then the surgery was completed. Primary endpoints were tumor regression grade (TRG) and objective response rate (ORR); secondary endpoints were radical surgical resection (R0) rate and three-year overall survival (OS). 60 patients were eligible with evaluable outcomes: 24 in GHG and 36 in GLG. Between GHG and GLG, TRG1, TRG2, TRG3, and TRG4 were 0 : 16.7%, 20.8% : 41.7%, 58.3% : 36.1%, and 20.8% : 5.6%, respectively (P=0.006); ORR and R0 rate were 33.3% : 69.4% (P=0.006) and 75% : 94.4% (P=0.046), respectively; the median OS was 20 : 32 (months) (P=0.0356). No significant difference in the three-year OS was observed between GHG and GLG: 29.2% : 41.7% (P=0.24). Furthermore, the GASC1 expression level was associated with poor OS independent of other factors by univariate and multivariate analyses. Therefore, GASC1 might be a potential biomarker to predict NCT efficacy for ESCC.
Copyright © 2020 Ruinuo Jia et al.

Entities:  

Year:  2020        PMID: 32411232      PMCID: PMC7204099          DOI: 10.1155/2020/1607860

Source DB:  PubMed          Journal:  J Oncol        ISSN: 1687-8450            Impact factor:   4.375


1. Introduction

Esophageal cancer (EC) is the eighth most common cancer worldwide and the sixth leading cause of cancer-related deaths [1]. China is the country with the highest incidence of EC in the world. Contrary to the European and American countries where 80% of EC is adenocarcinoma, more than 90% of EC in China is esophageal squamous cell carcinoma (ESCC) [2]. The neoadjuvant treatment has become the standard of care for patients with resectable EC [3, 4]. However, the efficacy of neoadjuvant chemotherapy (NCT) is unsatisfactory in ESCC, but some patients cannot undergo surgery or curative resection because of disease progression [5]. Markers predicting response to chemotherapy would considerably enhance the efficacy of treatment and simultaneously reduce chemotherapy-related risks by permitting precise preoperative treatment [6-8]. Cancer stem cells (CSCs) are responsible for cancer growth, metastasis, and recurrence and anticancer drug resistance [9-12]. Therefore, the genes that are involved in CSCs maintenance could be the potential predicting biomarkers for precision ESCC chemotherapy. The gene amplified in squamous cell carcinoma 1 (GASC1, also named KDM4C/JMJD2C), which encodes a nuclear protein with a Jumonji C domain that catalyzes lysine (K) demethylation of histones, is essential to maintain the self-renewal and differentiation of embryonic stem cells [13]. In previous studies, GASC1 was shown to be a regulator of stemness in CSCs of ESCC via pluripotency-associated genes (PAGs) promoter demethylation, such as NOTCH1 and SOX2 [14, 15], and the high level of GASC1 was closely associated with poor survival of ESCC patients [14-16]. As a result, we prospectively investigated the role of GASC1 as a biomarker to predict the efficacy of NCT for ESCC. We found that a high level of GASC1 was closely associated with worse response to NCT and poor survival of ESCC patients, which could provide a theoretical basis for the development of a new therapeutic strategy of ESCC.

2. Materials and Methods

2.1. Study Design

This study was a prospective clinical biomarker trial and designed to demonstrate the predictive role of GASC1 for indicating ESCC patients to receive neoadjuvant chemotherapy (Figure 1).
Figure 1

Study flow chart.

2.2. Participants

The target population was locally advanced ESCC, defined as pathologically proven ESCC, with clinical stages of TNM classification, T1bN + M0 and T2-4aN0-2M0, according to the American Joint Committee on Cancer Staging System (UICC-AJCC) (8th edition) [17]. All participants were enrolled from The First Affiliated Hospital of Henan University of Science and Technology (HUST), Luoyang, China.

2.3. GASC1 Detection

Immunohistochemical staining was conducted according to the procedures described previously [15]. The sections were incubated overnight at 4°C with primary antibodies against anti-GASC1 (Abcam, Cambridge, MA, USA). After washing with phosphate buffer saline (PBS), sections were incubated with an appropriate biotinylated secondary antibody (Zymed Laboratories, San Francisco, CA, USA) for 30 min. The primary antibody was replaced with PBS for use as a negative control. Staining intensity was graded as 0 (no staining), 1 (weak staining), 2 (moderate staining), or 3 (strong staining). The analysis of staining in the normal epithelium showed predominant absence or mild staining. In ESCC samples, grades 0 to 1 were classified as low expression, and grades 2 to 3 as high expression. Scoring was conducted independently by two independent pathologists. Participants were divided into two groups: the GASC1-high group (GHG) and the GASC1-low group (GLG) according to the detection result.

2.4. Pretreatment Investigation

According to the 8th UICC-AJCC TNM staging manual, patients received staging workup using esophagoscopy and biopsy, endoscopic ultrasonography (EUS), and CT of the thorax and abdomen with contrast, and ultrasonography of the cervical region with fine-needle aspiration cytology for any suspicious nodes [17]. Positron emission tomography-computed tomography (PET-CT) was used when the disease stage was difficult to confirm by general imaging examination.

2.5. Interventions

Patients received protocol-defined therapy in 2 stages: neoadjuvant chemotherapy and standard esophagectomy.

2.6. Neoadjuvant Chemotherapy

The chemotherapy involved a two-cycle TP (paclitaxel + cis-platinum) regimen: both paclitaxel with 135 mg/m2 (1 h intravenous infusion) and cisplatin with 75 mg/m2 (3 h intravenous infusion) were administered on day 1, with 21 days as one cycle. This regimen was based on the Esophageal Cancer Management Guideline, National Health and Family Planning Commission of the People's Republic of China.

2.7. Standard Esophagectomy

Standard esophagectomy surgery was performed for patients by specialists. The surgical approach to the mid- or lower-thoracic esophagus was standardized to two-stage esophagectomy to achieve a 5 cm minimum proximal margin. For tumors located over the proximal mid-thoracic esophagus, where a 5 cm proximal margin could not be achieved, a three-stage esophagectomy was performed. We performed a two-field lymphadenectomy in situations of either cervical or thoracic anastomosis. All the esophagectomies were performed through a thoracoscopy operation or an open approach.

2.8. Follow-Up

After the completion of treatment, all patients were regularly invited to follow-up examinations according to the protocol stipulations. The first follow-up was scheduled for about 4–8 weeks after treatment and then in 3 months for three years including clinical examination, gastroscopy biopsy, CT, and ultrasonography.

2.9. Endpoints

The primary endpoints were TRG and ORR between the two groups. The secondary endpoint was R0 rate and OS.

2.10. Statistical Analysis

This was a biomarker exploratory trial. The sample size required to meet the statistical power is unknown. TP53 was reported as an ESCC biomarker for neoadjuvant chemotherapy based on a 36-patient study [18]. GASC1 was assumed to be less powerful than TP53 for ESCC in this study. 72 (2 × 36 patients) patients were expected to enroll and a 10% missing rate was considered. Therefore, 80 patients were recruited in the initial phase. The endpoints were analyzed only for those who finished both neoadjuvant chemotherapy and surgery. All statistical analyses were performed using SPSS 18, Inc., Chicago, IL, USA, and data were expressed as mean values ± standard deviation. Two independent samples were compared using a t-test. Fisher's exact test or Pearson's Chi-squared test was performed for the categorical variables between groups. Kaplan–Meier curves were analyzed to determine patient survival with the log-rank test to ascertain significance. Significant predictors were assessed by multivariate analysis using the Cox proportional hazards model. All confidence intervals (CIs) were stated at 95%. A two-tailed P value less than 0.05 was considered statistically significant.

3. Results and Discussion

3.1. Patients Characteristics

We accrued 80 patients from The First Affiliated Hospital of Henan University of Science and Technology (HUST) from October 2014 to December 2015, of which 60 were eligible with explicit GASC1 expression status and therapeutic evaluation: 24 in the GASC1-high group (GHG) and 36 in the GASC1-low group (GLG). The other 20 patients were excluded from the final analysis since they did not process the surgery and the tissue samples were absence: 1 patient died from pulmonary embolism after 1 cycle chemotherapy; 2 patients gave up surgery and pursued 6-cycle chemotherapy in total, and 17 patients shifted to the definitive concurrent radiochemotherapy when they finished 2-cycle TP regimen. The clinical characteristics of the participants are summarized in Table 1. GASC1 expression status is shown in Figure 2.
Table 1

Patient characteristics in baseline.

CharacteristicsGASC1 P
High (n = 24, %)Low (n = 36, %)Total (n = 60)
Age (year)
 High (≥65)5 (20.8)15 (41.7)200.08
 Low (<65)19 (79.2)21 (58.3)40
Gender
 Male13 (54.2)24 (66.7)370.24
 Female11 (45.8)12 (33.3)23
Tumor location
 Upper-esophagus5 (20.8)6 (16.7)110.731
 Middle-esophagus12 (50)16 (44.4)28
 Lower-esophagus7 (29.2)14 (38.9)21
cT
 T1b2 (8.3)8 (22.2)100.16
 T22 (8.3)12 (33.3)14
 T310 (41.2)10 (27.8)20
 T4a10 (41.2)6 (16.7)16
cN
 N07 (29.2)22 (61.1)290.015
 N+17 (70.8)14 (38.9)31
Clinical stage
 II4 (16.7)22 (61.1)260.001
 III17 (70.8)10 (27.8)27
 IVA3 (12.5)4 (11.1)7
Pathological grade
 G14 (16.7)16 (44.4)200.004
 G210 (41.7)17 (47.2)27
 G310 (41.7)3 (8.3)13
Figure 2

The correlation between GASC1 level and clinical parameters in ESCC patients. GASC1 expression in all ESCC tissues was measured by immunohistochemistry. (a) The expression of GASC1 in different grade tumor tissues from ESCC patients was detected. One representative micrograph is shown. Scale bar represents 20 μm. (b) The expression of GASC1 in different grade tissues (G1, G2 + G3) from ESCC patients is presented as a scatter diagram. (c) GASC1 expression in ESCC tissues with positive and negative lymph node metastasis is shown as a scatter diagram. (d) GASC1 expression in different tumor tissues based upon T score (T1 + T2, T3 + T4) is shown as a scatter diagram. (e) GASC1 expression in ESCC tissues with different clinical parameters analyzed by immunohistochemistry is shown as a histogram with a staining score.

3.2. TRG, ORR, and R0 Evaluations

After NCT is completed, we evaluated the objective response rate (ORR) depending on the tumor size change in the computed tomography (CT) scan. The modified RECIST (response evaluation criteria in solid tumors) 1.1. was used to define the tumor response: complete response (CR) means that no tumor lesions were seen on the CT imaging; partial response (PR) means regression of the primary tumor and/or lymph nodes; stable disease (SD) means no difference in tumor and/or lymph node size; progressive disease (PD) means progression in size of the primary tumor and/or lymph nodes or development of new lesions [19]. The post-neoadjuvant therapy (ypTNM) stage was depended on the pathological review of surgical specimens [17]. Tumor regression grade (TRG) was quantitated in five grades: TRG 1 (complete regression) showed the absence of residual cancer and fibrosis extending through the different layers of the esophageal wall; TRG 2 was characterized by the presence of rare residual cancer cells scattered through the fibrosis; TRG 3 was characterized by an increase in the number of residual cancer cells, but fibrosis still predominated; TRG 4 showed residual cancer outgrowing fibrosis; TRG 5 was characterized by absence of regressive changes [20]. ORR was defined as CR + PR. A radical surgical resection was defined as follows: R0 means no cancer at resection margins, R1 means microscopic residual cancer, and R2 means macroscopic residual cancer or M1 [21]. TRG1, TRG2, TRG3, and TRG4 between GHG and GLG were 0 : 16.7%, 20.8% :  41.7%, 58.3% : 36.1%, and 20.8% : 5.6%, respectively (P=0.006). ORR and R0 rate in GHG were significantly lower than those in GLG: 33.3% versus 69.4% (P=0.006) and 75% versus 94.4% (P=0.046) (Table 2).
Table 2

Patient evaluation characteristics after neoadjuvant chemotherapy.

CharacteristicsGASC1 P
High (n = 24, %)Low (n = 36, %)Total (n = 60)
ypT
 T006 (16.7)6<0.001
 Carcinoma in situ03 (8.3)3
 T11 (4.2)7 (19.4)8
 T22 (8.4)9 (25)11
 T310 (41.7)8 (22.2)18
 T411 (45.8)3 (8.3)14
ypN
 N09 (37.5)28 (77.8)370.002
 N+15 (62.5)8 (22.2)23
Pathological stage
 I2 (8.3)14 (38.9)160.002
 II5 (20.8)12 (33.3)17
 III13 (54.2)10 (27.8)23
 IVA4 (16.7)04
Histologic grade
 G14 (16.7)17 (47.2)21<0.001
 G210 (41.7)18 (50)29
 G310 (41.7)1 (2.8)10
Response
CT evaluation
 CR09 (25)90.006
 PR8 (33.3)16 (44.4)24
 SD13 (54.2)11 (30.6)24
 PD3 (12.5)03
TRG
 106 (16.7)60.006
 25 (20.8)15 (41.7)20
 314 (58.3)13 (36.1)27
 4 + 55 (20.8)2 (5.6)7
Surgical resection
 R018 (75)34 (94.4)520.046
 R15 (20.8)2 (5.6)7
 R21 (4.2)01
TRG
 106 (16.7)60.072
 2–424 (100)30 (83.3)54
ORR
 CR + PR8 (33.3)25 (69.4)330.006
 SD + PD16 (66.7)11 (30.6)27

3.3. Survival

The median overall survival (OS) was 20 months in GHG and 32 months in GLG (P=0.0356). The three-year OS rate in GHG was lower than that in GLG: 29.2% versus 41.7%, respectively, but the difference was not significant (P=0.24) (Figure 3).
Figure 3

Kaplan-Meier survival curves for ESCC patients with lower and higher GASC1 expressions.

In the univariate analysis, patients with high GASC1 expression levels showed significantly worse OS than those with GASC1 expression levels. Tumor depth, lymph node metastasis, and pathological grade were also significant prognostic factors. In the multivariate analysis, the high GASC1 expression level was significantly associated with poor survival (P=0.048) (Table 3).
Table 3

Univariate and multivariate analyses of risk factors for the overall survival.

Univariate analysisMultivariate analysis
P Hazard ratio95% CI∗∗ P ∗∗∗
Age (year)
 <65/≥650.448
Gender
 Male/female0.679
Tumor location
 Upper/middle/lower0.156
cT
 T1/T2/T30.0282.3661.233–4.5690.01
cN
 N0/N+0.014
Pathological grade
 G1/G2/G30.044
GASC1 expression
 High/low0.0391.891.011–4.2160.048

Log-rank test. Adjusted 95% confidence interval. Cox proportional hazard model.

4. Discussion

GASC1, a family number of KDM4 and also named KDM4C, was identified and cloned from the 9p24-amplified region of esophageal cancer cell lines [13]. Histone lysine demethylases (KDMs) regulate histone methylation dynamics and play critical roles in modulating chromatin architecture, gene transcription, and cellular differentiation [21-23]. Dysregulation of KDM4 demethylases has been documented in a variety of cancers, including lymphoma, medulloblastoma, breast, prostate, colorectal, lung, gastric, esophageal, and renal cancers [13, 24–26]. In our previous investigation, we found that GASC1 plays an important role in maintaining ESCC stem cells and participates in tumor development. The expression of GASC1 in a number of ESCC cell lines and poorly differentiated ESCC tissues was higher than that in human immortalized normal esophageal epithelial cell lines and well-differentiated tissues [14, 15]. We identified tumor initial cells (TICs) from a number of ESCC cell lines and demonstrated increased expression of GASC1 in the ESCC ALDH + TICs and its involvement in TICs maintenance by specific demethylation of H3K9Me3 at the SOX2 and NOTCH1 promoter. Stemness in various types of cancer is the main cause of tumor recurrence, deterioration, and chemoradiotherapy resistance [9-12]. Based on this and according to our previous findings, we assumed that ESCC patients with high GASC1 expression in tumor tissue would respond poorly to neoadjuvant chemotherapy in this study. The investigation results showed that 40% of patients (24/60) had high GASC1 expression. Additionally, the proportions of lymphatic metastasis, III-IV stages, and pathology grades 2-3 in GHG were significantly higher than those in the GLG: 70.8% versus 38.9%, 93.3% versus 38.9%, and 83.4% versus 55.5%, respectively. This is consistent with the previously published findings [13-16]. After neoadjuvant chemotherapy, six patients achieved TRG1 in the GASC1-low group but none in the GASC1-high group and the ORR was 69.4% (25/36) in the GASC1-low group and 33.3% (8/24) in the GASC1-high group, which indicate that patients with high GASC1 expression would respond poorly to chemotherapy. We found the median OS in the GASC1-high group was significantly worse than that in the GASC1-low group: 20 months versus 32 months, respectively, and GASC1 was an independent prognostic factor for poor overall survival in ESCC patients. GASC1 overexpression proved to predict poor prognosis for some other cancers [24-26]. According to these findings, the potential biological mechanism of chemotherapy resistance is high GASC1 expression enhancing the proportion and ability of the TICs subpopulation in ESCC. However, more exploration into the molecular mechanism is required to confirm this speculation. We have conducted some pilot experiments in ESCC cell lines and mice. The preliminary results support the role of both GASC1 and TICs in ESCC chemotherapy resistance. We previously reported that caffeic acid (3,4-dihydroxycinnamic acid, CA) could inhibit the demethylation activity of GASC1 in ESCC, and GASC1 was found to confer stem-cell-like characteristics, such as the ability to form spheres, in ESCC TICs [14, 15]. The investigation results provide an innovative concept that GASC1 might be a malignancy signature for ESCC, and CA, a valid GASC1 demethylase inhibitor, could be a potential anticancer agent for ESCC through targeting the TICs. CA has been approved for thrombocytopenia treatment in China by the China Food and Drug Administration (CFDA) [27, 28]. Therefore, we are developing a prospective randomized, double-blind, and multicenter clinical trial called “The Efficacy and Safety of Caffeic Acid for Esophageal Cancer (CAEC)” and patient recruitment is ongoing. The trial has been registered with ClinicalTrials.govIdentifier: NCT03070262.

5. Conclusions

In conclusion, our findings firstly indicate that GASC1 is a potential biomarker indicating ESCC patients to receive neoadjuvant chemotherapy. High GASC1 expression could be a prognostic factor for poor survival of ESCC. Our findings provide a theoretical basis for developing a new therapeutic strategy for ESCC based on the inhibition of the GASC1 signaling pathway.
  28 in total

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Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

Review 4.  KDM4/JMJD2 histone demethylases: epigenetic regulators in cancer cells.

Authors:  William L Berry; Ralf Janknecht
Journal:  Cancer Res       Date:  2013-05-03       Impact factor: 12.701

5.  Metabolomics-based Discovery of Serum Biomarkers to Predict the Side-effects of Neoadjuvant Chemoradiotherapy for Esophageal Squamous Cell Carcinoma.

Authors:  Shin Nishiumi; Seiji Fujigaki; Takashi Kobayashi; Takashi Kojima; Yoshinori Ito; Hiroyuki Daiko; Ken Kato; Hirokazu Shoji; Yuzo Kodama; Kazufumi Honda; Masaru Yoshida
Journal:  Anticancer Res       Date:  2019-01       Impact factor: 2.480

6.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

7.  Histone Demethylases KDM4A and KDM4C Regulate Differentiation of Embryonic Stem Cells to Endothelial Cells.

Authors:  Liangtang Wu; Kishore K Wary; Sergei Revskoy; Xiaopei Gao; Kitman Tsang; Yulia A Komarova; Jalees Rehman; Asrar B Malik
Journal:  Stem Cell Reports       Date:  2015-06-25       Impact factor: 7.765

8.  KDM4C, a H3K9me3 Histone Demethylase, is Involved in the Maintenance of Human ESCC-Initiating Cells by Epigenetically Enhancing SOX2 Expression.

Authors:  Xiang Yuan; Jinyu Kong; Zhikun Ma; Na Li; Ruinuo Jia; Yiwen Liu; Fuyou Zhou; Qimin Zhan; Gang Liu; Shegan Gao
Journal:  Neoplasia       Date:  2016-09-19       Impact factor: 5.715

9.  [A multicenter clinical trial of caffeic acid tablet in treatment of 103 primary immune thrombocytopenia patients].

Authors:  Ping Qin; Yu Wei; Ming Hou; Chunting Zhao; Zhixiang Shen
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2015-02

10.  Genomic amplification and oncogenic properties of the GASC1 histone demethylase gene in breast cancer.

Authors:  G Liu; A Bollig-Fischer; B Kreike; M J van de Vijver; J Abrams; S P Ethier; Z-Q Yang
Journal:  Oncogene       Date:  2009-09-28       Impact factor: 9.867

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