Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This study plans to observe the changes of liver cancer and immune cell subsets by replicating the high abundance intestinal flora and liver cancer mouse model, reveal the relationship and mechanism of intestinal flora in the immunotherapy of liver cancer, and study the impact on prognosis by regulating the positive correlation of lactic acid bacteria and bifidobacteria of rumen coccus in patients with advanced liver cancer receiving immunotherapy
Select patients with advanced hepatocellular carcinoma who have been clinically consulted by MDT,those patients will be treated with carrilizumab and apatinib mesylate, and divide them into two groups randomly .Collect the stool specimens and clinical data from those who will be treated with oral bifidobacterium or without bifidobacterium during immunotherapy.; Use 16S sequencing to detect the changes in the composition ratio of intestinal flora and the level of galactose acid, judge the response to clinical treatment and establish the relationship curve with clinical treatment efficacy.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Bifidobacterium Bifidum Oral Product | Experimental | patients with advanced hepatocellular carcinoma who will be treate with carrilizumab and apatinib mesylate plus Bifidobacterium Bifidum Oral Product daily |
|
| without Bifidobacterium Bifidum Oral Product | No Intervention | patients with advanced hepatocellular carcinoma who will be treate with carrilizumab and apatinib mesylate without Bifidobacterium Bifidum Oral Product daily |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Bifidobacterium Bifidum Oral Product | Drug | experimental group use Bifidobacterium Bifidum Oral Product and control group without Bifidobacterium Bifidum Oral Product |
|
| Measure | Description | Time Frame |
|---|---|---|
| objective response rate(ORR) | The proportion of patients with tumor volume reduction up to a pre-specified value and able to maintain the minimum time requirement is the sum of the proportion in complete and partial remission | 1 year |
| disease control rate(DCR) | The number of cases with remission and stable lesions after treatment as a percentage of evaluable cases that were maintained for at least 4 weeks. | 1 year |
| overall survival(OS) | The time interval from the start of treatment until the patient's death (from any cause) | 1 year |
| progression-free survival(PFS) | Time interval from the start of treatment until disease progression (including death) | 1 year |
| Number of participants with treatment-related adverse events as assessed by NCI-CTCAE 5.0." | Side effects due to immunotherapy | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Change in tumor volume before and after treatment | The efficacy of the study will be evaluated based on the imaging results and evaluation criteria for efficacy of solid tumorssolid tumors (RECISTv1.1). | 24 weeks |
Not provided
Inclusion Criteria:
Patients with HCC diagnosed by pathological histology or cytology or clinically confirmed.
Expected survival ≥ 12 weeks.
No systemic systemic antitumor therapy against hepatocellular carcinoma prior to the first dose.
Child-Pugh liver function rating: Grade A or B (≤7 points).
Stage IIIa: regardless of tumor status, with vascular invasion, no extrahepatic metastasis; liver function grade Child-Pugh A/B; PS 0~2, IIIb: regardless of tumor status, regardless of vascular invasion, with extrahepatic metastasis; liver function grade Child-Pugh A/B; PS 0~2. Not Stage B not suitable for radical surgery and/or local treatment.
ECOG physical status score ≤2.
At least one measurable lesion according to RECIST v1.1 (measurable lesion spiral CT tracing length ≥ 10 mm or enlarged lymph node short diameter ≥ 15 mm)
Routine blood tests: (no blood transfusion, G-CSF medication correction within 14 days prior to screening)
Laboratory test values within 7 days prior to enrollment meet the following requirements (no blood components, cell growth factors, albumin, or other corrective therapies are allowed within the first 14 days of obtaining laboratory tests), as follows.
①Blood count: absolute neutrophil count (ANC) ≥ 1.5×109/L; platelet count (PLT) ≥ 75×109/L; hemoglobin level (HGB) ≥ 9.0 g/dL.
② Liver function: serum total bilirubin (TBIL) ≤2× upper limit of normal (ULN); alanine amino transferase (ALT) and aspartate aminotransferase (ST) ≤5×ULN; serum albumin ≥28 g/L; alkaline phosphatase (ALP) ≤5×ULN.
(iii) Renal function: serum creatinine (Cr) ≤ 1.5×ULN or creatinine clearance (CCr) ≥ 50 mL/min (Cockcroft-Gault formula); urine routine results show urine protein <2+; for patients with urine protein ≥2+ at baseline, 24-hour urine collection and 24-hour urine protein quantification <1g should be performed.
④ Coagulation: International normalized ratio (INR) and activated partial thromboplastin time (APTT) ≤ 1.5 times ULN.
Female patients of childbearing age or male patients whose sexual partners are women of childbearing age are required to use effective contraception throughout the treatment period and for 6 months after the last dose.
Sign a written informed consent form and be able to comply with protocol visits and related procedures.
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Chan Xie, PhD | Contact | 8602085252372 | happyxiechan@hotmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Chan Xie, PhD | Third Affiliated Hospital, Sun Yat-Sen University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Third Affiliated Hospital of Sun Yat-Sen University | Recruiting | Guangzhou | Guangdong | 510630 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30487606 | Background | Meng X, Liu X, Guo X, Jiang S, Chen T, Hu Z, Liu H, Bai Y, Xue M, Hu R, Sun SC, Liu X, Zhou P, Huang X, Wei L, Yang W, Xu C. FBXO38 mediates PD-1 ubiquitination and regulates anti-tumour immunity of T cells. Nature. 2018 Dec;564(7734):130-135. doi: 10.1038/s41586-018-0756-0. Epub 2018 Nov 28. | |
| 31186238 | Background |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Select patients with advanced hepatocellular carcinoma who have been clinically consulted by MDT ,those patients will be treated with carrilizumab and apatinib mesylate,and divide them into two groups randomly .Collect the stool specimens and clinical data from those who will be treated with oral bifidobacterium or without bifidobacterium during immunotherapy.
Not provided
Not provided
Not provided
Not provided
|
| Ruiz de Galarreta M, Bresnahan E, Molina-Sanchez P, Lindblad KE, Maier B, Sia D, Puigvehi M, Miguela V, Casanova-Acebes M, Dhainaut M, Villacorta-Martin C, Singhi AD, Moghe A, von Felden J, Tal Grinspan L, Wang S, Kamphorst AO, Monga SP, Brown BD, Villanueva A, Llovet JM, Merad M, Lujambio A. beta-Catenin Activation Promotes Immune Escape and Resistance to Anti-PD-1 Therapy in Hepatocellular Carcinoma. Cancer Discov. 2019 Aug;9(8):1124-1141. doi: 10.1158/2159-8290.CD-19-0074. Epub 2019 Jun 11. |
| 15240681 | Background | Chemnitz JM, Parry RV, Nichols KE, June CH, Riley JL. SHP-1 and SHP-2 associate with immunoreceptor tyrosine-based switch motif of programmed death 1 upon primary human T cell stimulation, but only receptor ligation prevents T cell activation. J Immunol. 2004 Jul 15;173(2):945-54. doi: 10.4049/jimmunol.173.2.945. |
| 19426218 | Background | Riley JL. PD-1 signaling in primary T cells. Immunol Rev. 2009 May;229(1):114-25. doi: 10.1111/j.1600-065X.2009.00767.x. |
| 32968260 | Background | Janney A, Powrie F, Mann EH. Host-microbiota maladaptation in colorectal cancer. Nature. 2020 Sep;585(7826):509-517. doi: 10.1038/s41586-020-2729-3. Epub 2020 Sep 23. |
| 29798856 | Background | Ma C, Han M, Heinrich B, Fu Q, Zhang Q, Sandhu M, Agdashian D, Terabe M, Berzofsky JA, Fako V, Ritz T, Longerich T, Theriot CM, McCulloch JA, Roy S, Yuan W, Thovarai V, Sen SK, Ruchirawat M, Korangy F, Wang XW, Trinchieri G, Greten TF. Gut microbiome-mediated bile acid metabolism regulates liver cancer via NKT cells. Science. 2018 May 25;360(6391):eaan5931. doi: 10.1126/science.aan5931. |
| 29097494 | Background | Routy B, Le Chatelier E, Derosa L, Duong CPM, Alou MT, Daillere R, Fluckiger A, Messaoudene M, Rauber C, Roberti MP, Fidelle M, Flament C, Poirier-Colame V, Opolon P, Klein C, Iribarren K, Mondragon L, Jacquelot N, Qu B, Ferrere G, Clemenson C, Mezquita L, Masip JR, Naltet C, Brosseau S, Kaderbhai C, Richard C, Rizvi H, Levenez F, Galleron N, Quinquis B, Pons N, Ryffel B, Minard-Colin V, Gonin P, Soria JC, Deutsch E, Loriot Y, Ghiringhelli F, Zalcman G, Goldwasser F, Escudier B, Hellmann MD, Eggermont A, Raoult D, Albiges L, Kroemer G, Zitvogel L. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science. 2018 Jan 5;359(6371):91-97. doi: 10.1126/science.aan3706. Epub 2017 Nov 2. |
| 29097493 | Background | Gopalakrishnan V, Spencer CN, Nezi L, Reuben A, Andrews MC, Karpinets TV, Prieto PA, Vicente D, Hoffman K, Wei SC, Cogdill AP, Zhao L, Hudgens CW, Hutchinson DS, Manzo T, Petaccia de Macedo M, Cotechini T, Kumar T, Chen WS, Reddy SM, Szczepaniak Sloane R, Galloway-Pena J, Jiang H, Chen PL, Shpall EJ, Rezvani K, Alousi AM, Chemaly RF, Shelburne S, Vence LM, Okhuysen PC, Jensen VB, Swennes AG, McAllister F, Marcelo Riquelme Sanchez E, Zhang Y, Le Chatelier E, Zitvogel L, Pons N, Austin-Breneman JL, Haydu LE, Burton EM, Gardner JM, Sirmans E, Hu J, Lazar AJ, Tsujikawa T, Diab A, Tawbi H, Glitza IC, Hwu WJ, Patel SP, Woodman SE, Amaria RN, Davies MA, Gershenwald JE, Hwu P, Lee JE, Zhang J, Coussens LM, Cooper ZA, Futreal PA, Daniel CR, Ajami NJ, Petrosino JF, Tetzlaff MT, Sharma P, Allison JP, Jenq RR, Wargo JA. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science. 2018 Jan 5;359(6371):97-103. doi: 10.1126/science.aan4236. Epub 2017 Nov 2. |
| 29302014 | Background | Matson V, Fessler J, Bao R, Chongsuwat T, Zha Y, Alegre ML, Luke JJ, Gajewski TF. The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients. Science. 2018 Jan 5;359(6371):104-108. doi: 10.1126/science.aao3290. |
| 32792462 | Background | Mager LF, Burkhard R, Pett N, Cooke NCA, Brown K, Ramay H, Paik S, Stagg J, Groves RA, Gallo M, Lewis IA, Geuking MB, McCoy KD. Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy. Science. 2020 Sep 18;369(6510):1481-1489. doi: 10.1126/science.abc3421. Epub 2020 Aug 13. |
| 31337439 | Background | Zheng Y, Wang T, Tu X, Huang Y, Zhang H, Tan D, Jiang W, Cai S, Zhao P, Song R, Li P, Qin N, Fang W. Gut microbiome affects the response to anti-PD-1 immunotherapy in patients with hepatocellular carcinoma. J Immunother Cancer. 2019 Jul 23;7(1):193. doi: 10.1186/s40425-019-0650-9. |
| 31333308 | Background | Jiang Y, Han QJ, Zhang J. Hepatocellular carcinoma: Mechanisms of progression and immunotherapy. World J Gastroenterol. 2019 Jul 7;25(25):3151-3167. doi: 10.3748/wjg.v25.i25.3151. |
| 31954488 | Background | Schwabe RF, Greten TF. Gut microbiome in HCC - Mechanisms, diagnosis and therapy. J Hepatol. 2020 Feb;72(2):230-238. doi: 10.1016/j.jhep.2019.08.016. |