Literature DB >> 30483535

Outcome and validation of a new clinically based staging system for predicting survival of perihilar cholangiocarcinoma patients.

Passisd Laoveeravat1, Veeravich Jaruvongvanich2, Nicha Wongjarupong1,3, Sittikorn Linlawan1, Natthaporn Tanpowpong4, Chonlada Phathong1, Parkpoom Phatharacharukul5, Sombat Treeprasertsuk1, Rungsun Rerknimitr1, Roongruedee Chaiteerakij1.   

Abstract

BACKGROUND AND AIM: Currently available staging systems for cholangiocarcinoma (CCA) are not applicable to patients with unresectable stage. A new clinical staging system for perihilar CCA (pCCA) subtype has been recently developed in a US cohort, with a good performance in predicting survival of all pCCA patients. We aimed to determine outcomes of pCCA patients and evaluate predictive performance of this staging system in an Asian population.
METHODS: All 141 patients diagnosed with pCCA between 2003 and 2012 were identified. Clinical information was retrospectively abstracted. Patients were classified into four stages based on the new staging system. Survival predictors were analyzed using the Cox proportional hazard analysis.
RESULTS: Of the 141 pCCA patients, 38 (27%), 101 (72%), and 2 (1%) received resection, palliative biliary drainage ± chemotherapy, and best supportive care, respectively. Survival predictors included resectable disease, tumor size, distant metastasis, and cancer antigen 19-9 ≥ 1000 U/mL. When classified by clinical stages, 13, 4, 99, and 25 patients were in stages I, II, III, and IV, with median survivals of 18.4, 7.3, 6.3, and 2.6 months; and hazard ratio (95% confidence interval) of 1.0 (reference), 1.7 (0.5-5.5), 3.2 (1.5-6.7), and 10.8 (4.6-25.0), respectively.
CONCLUSION: The clinical staging system has a limited performance in differentiating stage II pCCA patients from stage III patients in the Thai cohort. This can be due to differences in patient characteristics and treatment modalities between the Asian and White pCCA populations. However, the median survivals of patients with other stages are significantly different.

Entities:  

Keywords:  bile duct cancer; cholangiocarcinoma; prognosis; staging system; treatment outcome

Year:  2017        PMID: 30483535      PMCID: PMC6207049          DOI: 10.1002/jgh3.12009

Source DB:  PubMed          Journal:  JGH Open        ISSN: 2397-9070


Introduction

Cholangiocarcinoma (CCA), arising from epithelial lining of biliary tract, is a devastating cancer, with a 5‐year survival of only 10%.1 It accounts for 3% of all gastrointestinal tumors and is the second most common primary liver tumor after hepatocellular carcinoma. The worldwide incidence of CCA appears to be increasing.2, 3 CCA is generally classified based on anatomic location into three subtypes as intrahepatic, perihilar, and distal CCA.1 Each subtype is different in molecular pathogenesis, clinical presentation as well as treatment outcome; therefore, each requires their own prognostic staging system.4, 5 Perihilar CCA (pCCA), arising from the secondary branch of right and left hepatic ducts extending to just above the insertion of cystic duct, represents the most common subtype of CCA, that is 50%.5, 6 Surgical resection and liver transplantation with neoadjuvant chemotherapy are the only curative treatment options. Unfortunately, only 10% of patients present with early stage disease, which is amenable for curative treatment. For the majority of the patients who are not eligible for surgery or transplantation, the mainstay of treatment is palliative chemotherapy with cisplatin and gemcitabine, which prolongs median survival from 8 to 11 months.7, 8, 9 There are currently three established staging systems for pCCA, including Bismuth–Corlette classification, the American Joint Committee on Cancer/Union for International Cancer Control TNM staging system and the Memorial Sloan Kettering Cancer Center (MSKCC) staging system. The Bismuth–Corlette system is primarily aimed to guide surgical strategy based on anatomic consideration and does not yield prognostic value.10 The TNM staging system is mainly used for predicting prognosis after surgical resection or transplantation as it requires information on pathology.11 Nonetheless, previous studies showed that TNM was not associated with survival of pCCA patients undergoing surgery.12 The MSKCC is aimed to predict resectability before operation.13 Accordingly, there is no well‐established staging system for predicting prognosis of patients with unresectable disease. Due to the limitations of the three staging systems,14 a new clinical staging system for pCCA was recently proposed and showed promising prognostic value for both unresectable and resectable disease.15 However, the major population of this development cohort was White (87.7%) and the major cause of pCCA in Western countries was primary sclerosing cholangitis (PSC). By contrast, the major cause of pCCA in Asian countries is liver fluke infestation (Opisthorchis viverrini and Clonorchis sinensis) that might pose different pathogenesis of pCCA as compared to PSC.16 Initially, we aimed to determine the performance of the new clinical staging system of pCCA in Asian population.15 Then, we sought to determine factors associated with survival of pCCA patients in Asian population.

Methods

Study cohort

We conducted a retrospective cohort study of pCCA patients seen at King Chulalongkorn Memorial Hospital, Bangkok, Thailand, between 2001 and 2012. A total of 141 patients were identified using the International Classification of Diseases, Tenth Revision, Thai Modification (ICD‐10‐TM) codes of C22.1 and C24. Inclusion criteria were newly diagnosed pCCA patients who were aged over 18 years. Patients who underwent surgical resection or received chemotherapy prior to the first visit at our hospital were excluded. Diagnosis of pCCA was made based on the criteria previously published.15 Briefly, (i) surgical histopathology from resected tumor (n = 28); (ii) histology from intraluminal endoscopic core biopsy, percutaneous needle biopsy, or intraoperative biopsy (n = 40); (iii) intraluminal brush cytology (n = 1); (iv) a CA (cancer antigen) 19‐9 level > 100 U/mL in the setting of a malignant‐appearing biliary tract stricture demonstrated by radiologic imaging and without bacterial cholangitis (n = 47); or (v) a perihilar mass lesion with a malignant‐appearing biliary tract stricture on cross‐sectional imaging studies with evidence of malignant clinical progression during the follow‐up period (n = 25).

Data collection

Demographic and clinical information, including underlying diseases, Eastern Cooperative Oncology Group (ECOG) status, tumor size and number, lymph node and distant metastases, vascular encasement, treatment received, and CA 19‐9 level at the time of pCCA diagnosis was abstracted from medical records. All‐cause mortality defined as any death was obtained from death certificate.

Categorization of patients by Mayo Clinic clinical staging system

All patients were classified into four stages by the new clinical staging system that was recently developed.15 Briefly, this staging system relied on five variables obtained preoperatively, including tumor size and number, vascular encasement, presence of intrahepatic or distant metastasis, ECOG status, and CA 19‐9 level (Table 1).
Table 1

Mayo Clinic clinical staging system for pCCA

VariablesStage IStage IIStage IIIStage IV
Mass lesionUnicentric ≤ 3 cmUnicentric ≤ 3 cmUnicentric > 3 cm or multicentricNA
Vascular encasementNoYesNANA
MetastasisNoNoLymph node metastasisPeritoneal or other organ metastasis
ECOG status01–20–23–4
CA 19‐9 level (U/mL)<1000<1000≥1000NA

CA, cancer antigen; ECOG, Eastern Cooperative Oncology Group; NA, not applicable, pCCA, perihilar cholangiocarcinoma.

Mayo Clinic clinical staging system for pCCA CA, cancer antigen; ECOG, Eastern Cooperative Oncology Group; NA, not applicable, pCCA, perihilar cholangiocarcinoma.

Statistical analysis

Continuous variables were expressed as mean ± SD or median, interquartile range (IQR), while categorical variables were presented as number (%). Factors associated with survival were identified using Cox proportional hazards regression analysis and presented as hazard ratio (HR) along with 95% confidence interval (CI). Subsequently, patients were classified into four clinical stages15 and survivals of patients with different stages were estimated using Kaplan–Meier curve and compared using the log‐rank test. Data analysis was performed using SPSS 22.0 (IBM Corp., Armonk, NY, USA). P‐value of <0.05 was determined as statistically significant.

Results

Baseline characteristics

Of the 141 pCCA patients, 77 (55%) were males and mean age was 58 years. Most patients had good ECOG performance status, that is 46 and 91 patients had ECOG 0 and 1, respectively. Two patients had ECOG 2, and only one patient had ECOG 3. None had PSC. The median of maximum tumor diameter was 3.6 cm. The median CA 19‐9 value was 674.8 U/mL. The proportion of patients with CA 19‐9 level ≥ 1000 U/mL was 40%. There were 38 (27%), 101 (72%), and 2 (1%) patients who were treated with resection, palliative biliary drainage ± systemic chemotherapy, and best supportive care (BSC), respectively. None underwent liver transplantation (Table 2).
Table 2

Baseline characteristics

Characteristics N = 141
Age (mean ± SD) (range), years58 ± 12 (16–87)
Male sex, n (%)77 (55%)
Comorbid and social conditions
Cirrhosis, n (%)5 (4%)
HBV, n (%)13 (9%)
HCV, n (%)1 (1%)
DM, n (%)22 (16%)
HIV, n (%)1 (1%)
Smoking, n (%)47 (33%)
Alcohol drinking, n (%)54 (38%)
ECOG performance status, n (%)
046 (33%)
≥194 (67%)
Tumor location, n (%)
Common hepatic duct26 (18%)
Hepatic duct confluence40 (29%)
Right or left hepatic duct44 (31%)
Right and left hepatic duct28 (20%)
Maximum tumor diameter, median (range), cm3.6 (1.0–15.6)
Number of tumor, n (%)
Non‐identified16 (11%)
Single104 (74%)
Two9 (6%)
Multiple12 (9%)
Vascular encasement, n (%)67 (48%)
Lymph node metastasis, n (%)
No75 (53%)
Hilar14 (10%)
Distant52 (37%)
Other organ metastasis, n (%)37 (26%)
Median CA 19‐9,U/mL674.8 (0.6–6825)
CA 19‐9 level ≥ 1000 U/mL, n (%)56 (40%)

One ECOG status missing.

Three tumor location information missing.

CA, cancer antigen; DM, diabetes mellitus; ECOG, Eastern Cooperative Oncology Group; HBV, hepatitis B viral infection; HCV, hepatitis C viral infection; HIV, human immunodeficiency viral infection.

Baseline characteristics One ECOG status missing. Three tumor location information missing. CA, cancer antigen; DM, diabetes mellitus; ECOG, Eastern Cooperative Oncology Group; HBV, hepatitis B viral infection; HCV, hepatitis C viral infection; HIV, human immunodeficiency viral infection.

Factors associated with survival of pCCA patients by clinical staging system

The overall median survival of the entire cohort was 5.6 months. The 1‐, 2‐, and 5‐year survival rates were 28%, 11%, and 4%, respectively. Factors associated with survival included resectable disease, tumor size, distant metastasis, and CA 19‐9 ≥ 1000 U/mL; with adjusted HRs (95% CI) of 0.28 (0.16–0.47), 1.11 (1.02–1.21), 2.47 (1.46–4.20), and 1.58 (1.10–2.28), respectively (P < 0.05 for all; Table 3).
Table 3

Cox regression analysis for factors associated with survival of pCCA patients (n = 141)

Univariate analysisMultivariate analysis
HR (95% CI) P‐valueHR (95% CI) P‐value
Age1.01 (0.99–1.02)0.281.02 (1.00–1.04)0.01
Male sex0.99 (0.70–1.38)0.931.02 (0.71–1.47)0.91
Comorbid conditions
Cirrhosis1.19 (0.49–2.93)0.70
HBV1.04 (0.57–1.88)0.90
HCV2.33 (0.3216.86)0.40
DM0.92 (0.58–1.46)0.74
HIV1.75 (0.24–12.60)0.58
Smoking1.14 (0.78–1.65)0.49
Alcohol drinking1.12 (0.78–1.61)0.54
ECOG performance status
01.00 (reference)
≥ 11.32 (0.92–1.89)0.14
Tumor location
Common hepatic duct1.00 (reference)
Hepatic duct confluence0.96 (0.58–1.59)0.88
Right or left hepatic duct0.77 (0.46–1.28)0.32
Right and left hepatic duct1.59 (0.93–2.72)0.09
Maximum tumor diameter1.15 (1.08–1.26)<0.0011.11 (1.02–1.21)0.01
Number of tumor
Non‐identified1.00 (reference)1.00 (reference)
Single1.13 (0.65–1.96)0.660.82 (0.42–1.60)0.57
Multiple2.41 (1.22–4.74)0.010.64 (0.24–1.70)0.37
Vascular encasement1.41 (1.00–1.96)0.051.03 (0.67–1.58)0.88
Lymph node metastasis
No1.00 (reference)1.00 (reference)
Yes2.02 (1.41–2.90)<0.0011.32 (0.87–2.01)0.19
Other organ metastasis3.71 (2.44–5.63)<0.0012.47 (1.46–4.20)0.001
CA 19‐9 level ≥ 1000 U/mL1.47 (1.04–2.09)0.031.58 (1.10–2.28)0.01
Treatment mode
Unresectable1.00 (reference)1.00 (reference)
Resectable0.26 (0.16–0.40)<0.0010.28 (0.16–0.47)<0.001

CA, cancer antigen; CI, confidence interval; DM, diabetes mellitus; ECOG, Eastern Cooperative Oncology Group; HBV, hepatitis B viral infection; HCV, hepatitis C viral infection; HIV, human immunodeficiency viral infection; HR, hazard ratio; pCCA, perihilar cholangiocarcinoma.

Cox regression analysis for factors associated with survival of pCCA patients (n = 141) CA, cancer antigen; CI, confidence interval; DM, diabetes mellitus; ECOG, Eastern Cooperative Oncology Group; HBV, hepatitis B viral infection; HCV, hepatitis C viral infection; HIV, human immunodeficiency viral infection; HR, hazard ratio; pCCA, perihilar cholangiocarcinoma. When stratified by four clinical stages, 13, 4, 99, and 25 patients were in stages I, II, III, and IV, with median survivals of 18.4, 7.3, 6.3, and 2.6 months (P < 0.001), respectively. HRs (95% CI) were 1.0 (reference), 1.7 (0.5–5.5), 3.2 (1.5–6.7), and 10.8 (4.6–25.0), for stages I, II, III, and IV (P = 0.42, 0.002, and <0.001), respectively (Fig. 1 and Table 4).
Figure 1

Survival curves of perihilar cholangiocarcinoma patients classified by clinical staging.

Table 4

Median survival of patients by clinical staging (n = 141)

StageNumber of death/total patientsMedian survival (months)HR (95% CI) P‐value
I11/1318.41.0 (reference)
II4/47.31.7 (0.5–5.5) 0.42
III96/996.33.2 (1.5–6.7) 0.002
IV25/252.610.8 (4.6–25.0) <0.001

CI, confidence interval; HR, hazard ratio.

Survival curves of perihilar cholangiocarcinoma patients classified by clinical staging. Median survival of patients by clinical staging (n = 141) CI, confidence interval; HR, hazard ratio.

Survival of pCCA patients classified by different treatment modalities

Patients who were treated with resection had significantly better survival than those treated with palliative biliary drainage ± systemic chemotherapy, that is 17.3 versus 4.1 months, respectively, P < 0.001. The median survival of BSC group was not able to be estimated as only two patients received BSC. The survivals of these two patients were 2 days and 4.3 months. Of the 38 patients treated with resection, 6, 2, and 30 were classified as stages I, II, and III, respectively. Median survivals of stage I, II, and III patients receiving resection were 66.6, 7.3, and 16.7 months, respectively (P = 0.01; Fig. 2a). Patients who had free resected margin had longer survival than those who had R1 or R2 surgical margin (51.4 vs 18.0 months, P = 0.14). Patients who did not have lymph node metastasis had significantly longer survival than those with nodal metastasis, that is 28.4 versus 16.7 months (P = 0.01). Perineural invasion, vascular invasion, and histologic subtype did not have an impact on survival of resected patients in this cohort, that is 16.8 and 18.0 months for those with and without neural invasion; 17.5 and 17.5 months for those with and without vascular invasion; and 18.0 and 28.4 months for those with well‐differentiated and moderately‐poorly differentiated subtype (P = 0.90, 0.70, and 0.87), respectively.
Figure 2

Survival curves of resectable patients (a) and patients receiving palliative biliary drainage ± systemic chemotherapy (b).

Survival curves of resectable patients (a) and patients receiving palliative biliary drainage ± systemic chemotherapy (b). Of the 101 patients who underwent palliative biliary drainage ± systemic chemotherapy, 7, 2, 68, and 24 were classified as stages I, II, III, and IV, with median survivals of 10.3, 3.2, 4.9, and 2.6 months, respectively(P < 0.001; Fig. 2b).

Discussion

Our findings suggest that pCCA patients have poor prognosis and short survival, particularly those with unresectable disease. The identified outcome included tumor size, other organ metastasis, and CA 19‐9 ≥ 1000 U/mL. We found that the new clinically based staging system had a good performance in prognosticating outcomes of patients with early and advanced disease, but had a limited performance in differentiating outcomes of patients with intermediate stages. Similar to the development cohort,15 tumor size, other organ metastasis, and CA 19‐9 ≥ 1000 U/mL were found to be significant predictors of survival. Treatment modality was also significantly related to survival outcome in our cohort and the development cohort. However, this factor was not included in the Mayo Clinic clinical staging system as the staging system was aimed to be applicable for all patients regardless of treatment received. Inconsistent with the findings reported in the development cohort,15 we did not observe the association between ECOG status and survival, likely due to the small number of patients with ECOG 2–4. Like the development cohort,15 survivals of stage I, III, and IV patients were significantly different, that is 18.4, 6.3, and 2.6 months for stages I, III, and IV, respectively. However, due to the very small number of patients with stage II (n = 4), we were not able to determine the performance of the clinical staging system in predicting outcomes of these patients. Overall, the patients in our cohort had shorter survival than the patients in the development cohort, that is 5.6 versus 12.2 months. This is likely due to a couple of reasons. First, there were more patients who were classified as advanced stage in our cohort than the development cohort, that is 70% versus 42% for stage III, and 18% versus 15% for stage IV, respectively. The greater number of patients with advanced stage in our cohort could therefore contribute to the poorer prognosis. Second, curative treatment options are limited in our country. Liver transplantation is currently not available as a treatment option for CCA. We observed that patients with stage I disease in this cohort had much shorter survival than stage I patients in the development cohort, that is 18.4 versus 48.6 months, respectively. This discrepancy was most likely due to the difference in treatment modality given to early stage patients. Specifically, none of the patients in our study received liver transplantation while 43.4% of stage I patients in the previous study15 were treated with liver transplantation. Nonetheless, when comparing survivals of those receiving resection and palliative biliary stenting between the two cohorts, it appears that there was not much difference in survival of the present cohort and the development cohort, that is 17.3 versus 25.3 months for resection and 4.1 versus 5.8 months for stenting. We believe that, rather than the different etiologies of CCA, cancer stage at presentation and treatment received are major factors contributing to different prognosis. Although efforts have been made to develop prognostic scores or predictors of outcomes that can be used for all pCCA patients, the currently available staging systems are not applicable to all pCCA patients. Very recently, survival nomogram for resectable pCCA was developed in a Chinese population and demonstrated higher accuracy to predict patient survival than the Mayo Clinic clinical staging system.17 This nomogram was based on age, lymph node metastasis, CA 19‐9 level, portal vein involvement, hepatic artery invasion, and surgical outcome (i.e. R0 vs R1/R2). Despite its high predictability, the use remained limited to patients with resectable disease as it required information on surgical pathology, specifically neural invasion, to stage patients. Several prognostic factors such as inflammatory biomarkers were also proposed. Unresectable pCCA patients with both neutrophil‐lymphocyte ratio (NLR) ≥5 and C‐reactive protein (CRP) >10 mg/L had poorer outcomes compared to patients without elevation of both biomarkers with median survivals of 3 and 12.8 months, respectively.18 The strength of this study is that this is the first study to validate the newly proposed staging system for resectable and unresectable pCCA. Unlike most previous studies, which mainly focused on patients with resectable disease, our study had a full breadth of patients with all stages of disease.17, 19 However, there were some limitations in our study. First, the majority of our patient cohort presented with advanced stage, and only four patients in stage II, which possibly limited us in assessing the performance of the staging system in predicting the outcome of stage II patients. Second, due to organ shortage, liver transplantation is currently not available as a treatment option for pCCA in Thailand. Consequently, no patients received liver transplantation in our study, which could lead to differences in survivals as compared to other cohorts that could be treated with transplantation. Third, CCA is relatively rare as compared to other types of cancer. Even in the small cohort, we could demonstrate the significant difference of median survival between stages. Nonetheless, a further cohort with large sample size is needed to validate the staging system.

Conclusion

The new clinical staging system of pCCA is valid to predict treatment outcome of both resectable and unresectable pCCA in our cohort of Asian population. Tumor size, other organ metastasis, and CA 19‐9 ≥ 1000 U/mL are potential predicting factors in patients with pCCA. Further study in a larger Asian population is warranted to validate this new clinical staging system.
  18 in total

1.  Staging, resectability, and outcome in 225 patients with hilar cholangiocarcinoma.

Authors:  W R Jarnagin; Y Fong; R P DeMatteo; M Gonen; E C Burke; J Bodniewicz BS; M Youssef BA; D Klimstra; L H Blumgart
Journal:  Ann Surg       Date:  2001-10       Impact factor: 12.969

2.  Appraisal of inflammation-based prognostic scores in patients with unresectable perihilar cholangiocarcinoma.

Authors:  Masataka Okuno; Tomoki Ebata; Yukihiro Yokoyama; Tsuyoshi Igami; Gen Sugawara; Takashi Mizuno; Junpei Yamaguchi; Masato Nagino
Journal:  J Hepatobiliary Pancreat Sci       Date:  2016-08-30       Impact factor: 7.027

Review 3.  Current diagnostic and management options in perihilar cholangiocarcinoma.

Authors:  Sumera Rizvi; Gregory J Gores
Journal:  Digestion       Date:  2014-05-22       Impact factor: 3.216

4.  Cisplatin plus gemcitabine versus gemcitabine for biliary tract cancer.

Authors:  Juan Valle; Harpreet Wasan; Daniel H Palmer; David Cunningham; Alan Anthoney; Anthony Maraveyas; Srinivasan Madhusudan; Tim Iveson; Sharon Hughes; Stephen P Pereira; Michael Roughton; John Bridgewater
Journal:  N Engl J Med       Date:  2010-04-08       Impact factor: 91.245

Review 5.  Epidemiology of cholangiocarcinoma.

Authors:  Annika Bergquist; Erik von Seth
Journal:  Best Pract Res Clin Gastroenterol       Date:  2015-02-16       Impact factor: 3.043

6.  Cholangiocarcinoma. A spectrum of intrahepatic, perihilar, and distal tumors.

Authors:  A Nakeeb; H A Pitt; T A Sohn; J Coleman; R A Abrams; S Piantadosi; R H Hruban; K D Lillemoe; C J Yeo; J L Cameron
Journal:  Ann Surg       Date:  1996-10       Impact factor: 12.969

7.  Cholangiocarcinoma: thirty-one-year experience with 564 patients at a single institution.

Authors:  Michelle L DeOliveira; Steven C Cunningham; John L Cameron; Farin Kamangar; Jordan M Winter; Keith D Lillemoe; Michael A Choti; Charles J Yeo; Richard D Schulick
Journal:  Ann Surg       Date:  2007-05       Impact factor: 12.969

8.  Intrahepatic cholangioenteric anastomosis in carcinoma of the hilus of the liver.

Authors:  H Bismuth; M B Corlette
Journal:  Surg Gynecol Obstet       Date:  1975-02

Review 9.  Liver fluke induces cholangiocarcinoma.

Authors:  Banchob Sripa; Sasithorn Kaewkes; Paiboon Sithithaworn; Eimorn Mairiang; Thewarach Laha; Michael Smout; Chawalit Pairojkul; Vajaraphongsa Bhudhisawasdi; Smarn Tesana; Bandit Thinkamrop; Jeffrey M Bethony; Alex Loukas; Paul J Brindley
Journal:  PLoS Med       Date:  2007-07       Impact factor: 11.069

10.  Establishment and validation of a prognostic nomogram for patients with resectable perihilar cholangiocarcinoma.

Authors:  Peizhan Chen; Bin Li; Yan Zhu; Wei Chen; Xin Liu; Mian Li; Xiaohua Duan; Bin Yi; Jinghan Wang; Chen Liu; Xiangji Luo; Xiaoguang Li; Jingquan Li; Lijian Liang; Xiaoyu Yin; Hui Wang; Xiaoqing Jiang
Journal:  Oncotarget       Date:  2016-06-14
View more
  1 in total

1.  Modification of the eighth AJCC/UICC staging system for perihilar cholangiocarcinoma: An alternative pathological staging system from cholangiocarcinoma-prevalent Northeast Thailand.

Authors:  Chaiwat Aphivatanasiri; Prakasit Sa-Ngiamwibool; Sakkarn Sangkhamanon; Piyapharom Intarawichian; Waritta Kunprom; Malinee Thanee; Piya Prajumwongs; Narong Khuntikeo; Attapol Titapun; Apiwat Jareanrat; Vasin Thanasukarn; Tharatip Srisuk; Vor Luvira; Kulyada Eurboonyanun; Julaluck Promsorn; Watcharin Loilome; Aileen Wee; Supinda Koonmee
Journal:  Front Med (Lausanne)       Date:  2022-09-30
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.