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The histopathological growth patterns (HGPs) of colorectal cancer (CRC) liver metastasis reflect the complicated and varied interactions between tumor cells and host microenvironment. Exploring the tumor vascular and immunological features of HGPs, the relationship between HGPs and anti-tumor treatment efficacy, and HGPs prediction methods may have potential clinical aplication value for making optimal treatment strategies, evaluating patients' prognosis, and monitoring disease progression.
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Karyopherin α2 (KPNA2) , a key protein molecule that regulates the exchange of substances between the nucleus and the cytoplasm, plays an important role in the nucleocytoplasmic transport pathway. In recent years, an increasing number of studies have shown that KPNA2 is involved in a variety of cellular life activities and plays a significant part in viral infection, cell proliferation, immune response and tumor metastasis. Further study of the mechanism of KPNA2 in promoting the hepatocarcinogenesis and exploring its role in the development of liver cancer may provide new ideas for the diagnosis, treatment, and prognosis of liver cancer.
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Objective:To explore the effects of Jianpi Bushen Jiedu Prescription on the proliferation and migration of hepatocellular carcinoma cells; To discuss its possible mechanism.Methods:Using human highly metastatic liver cancer cell line (HCCLM3) as the research object, they were randomly divided into control group and TCM group (100, 200, 400, 800, 1 600, 3 200 μg/ml Jianpi Bushen Jiedu Prescription) and Western medicine group (2.5, 5, 10, 20, 40 μmol/L sorafenib) using a random number table method. Cell viability was detected using cell counting reagent (CCK-8) method; HCCLM3 cells were divided into control group and TCM (Jianpi Bushen Jiedu Prescription 800 μg/ml) group and combined group (Jianpi Bushen Jiedu Prescription 800 μg/ml +sorafenib 20 μmol/L). Western blot method was used to detect the protein expressions of kinase/signaling transducer and transcriptional activator (JAK2/STAT3) pathway related proteins (p-JAK2, JAK2, p-STAT3, STAT3) in each group.Results:Compared with the control group, viability and mobility of HCCLM cell in TCM group and Western medicine group decreased ( P<0.01 or P<0.05); compared with the control group, the protein expressions of P-JAK2, JAK2, P-STAT3 and STAT3 in the TCM group and the combined group decreased ( P<0.05), and the JAK2 protein expression in the combined group was lower than that in the TCM group ( P<0.05). Conclusion:Jianpi Bushen Jiedu Prescription can inhibit the proliferation and migration of HCC cells by regulating JAK2/STAT3 pathway.
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Objective:To develop a risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer, and to verify its predictive efficiency, so as to provide reference for risk assessment and nursing intervention of nausea and vomiting in patients with primary liver cancer.Methods:A cross-sectional survey was used. The risk assessment tool was compiled by using literature analysis, Delphi expert consultation and analytic hierarchy process. 153 patients with primary liver cancer who underwent transcatheter arterial chemoembolization in the Department of Intervention, Jiangsu Cancer Hospital from May 2022 to April 2023 were selected for assessment by using convenience sampling method. Receiver operating characteristic curve, sensitivity, specificity and Youden index were used to test the prediction efficiency of risk assessment tools.Results:Among 153 patients, there were 78 males, 75 females, aged (48.44 ± 7.76) years old. The expert positive coefficient of the three rounds of inquiry letters was all 100%, the expert authority coefficient was 0.936, 0.950 and 0.960 respectively, and the Kendall harmony coefficient was 0.490, 0.327 and 0.414 respectively (all P<0.01). The risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer included 14 items. The results of prediction efficiency analysis showed that the area under the receiver operating characteristic curve was 0.938 (95% CI 0.903-0.974, P<0.01). When the cut-off score was 56.2, the sensitivity, specificity and Youden index of the risk assessment tool were 0.926, 0.881 and 0.807, which had the best prediction efficiency. Conclusions:The risk assessment tool for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer has high scientificity, predictive efficiency and practicability, and is suitable for the risk assessment for chemotherapy induced nausea and vomiting after transcatheter arterial chemoembolization in patients with primary liver cancer in China.
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Liver cancer is still a major disease threatening the lives and health of the Chinese people. For early liver cancer with good liver functional reserve, surgical resection remains as the preferred treatment option. In the past several decades, great advances have been made in hepatectomy because of the refinement of surgical theories, advancements in surgical techniques, and improvements in surgical equipment. However, there are still different understandings in the academic community regarding whether to choose anatomic liver resection, how to choose the surgical margin, the design of surgical methods under the liver "territory theory", and the use of indocyanine green fluorescence imaging technology in liver cancer resection. The authors comprehensively review the current researches on the above issues and the research progress in hepatectomy for liver cancer, aiming to provide references for clinicians to optimize the surgical procedure.
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Objective:To investigate the clinical value of abdominal adipose volume in predicting early tumor recurrence after resection of hepatocellular carcinoma (HCC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 132 HCC patients with tumor diameter ≤5 cm who were admitted to The First Affiliated Hospital of Army Medical University from December 2017 to October 2019 were collected. There were 110 males and 22 females, aged (51±4)years. All patients underwent resection of HCC. Preoperative computer tomography scanning was performed and the visceral and subcutaneous fats of patients were quantified using the Mimics Research 21.0 software. Based on time to postoperative tumor recurrence patients were divided to two categories: early recurrence and non-early recurrence. Observation indicators: (1) consistency analy-sis; (2) analysis of factors influencing early tumor recurrence after resection of HCC and construction of prediction model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribu-tion were represented as M( Q1,Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Consistency analysis was conducted using the intragroup correlation coefficient (ICC) test. Multivariate analysis was performed using the binary Logistic regression model forward method. Independent risk factors influencing early tumor recurrence after resection of HCC were screened. The area under curve (AUC) of receiver operating characteristic (ROC) curve was applied to select the optimal cut-off value to classify high and low risks of recurrence. The Kaplan-Meier method was used to draw survival curve and calculate survival time. The Log-Rank test was used for survival analysis. Results:(1) Consistency analysis. The consistency ICC of abdominal fat parameters of visceral fat volume (VFV), subcutaneous fat volume, visceral fat area, and subcutaneous fat area measured by 2 radiologists were 0.84, 1.00, 0.86, and 0.94, respectively. (2) Analysis of factors influencing early tumor recurr-ence after resection of HCC and construction of prediction model. All 132 patients were followed up after surgery for 662(range, 292-1 111)days. During the follow-up, there were 52 patients with non-early recurrence and 80 patients with early recurrence. Results of multivariate analysis showed that VFV was an independent factor influencing early tumor recurrence after resection of HCC ( odds ratio=4.07, 95% confidence interval as 2.27-7.27, P<0.05). The AUC of ROC curve based on VFV was 0.78 (95% confidence interval as 0.70-0.85), and the sensitivity and specificity were 72.2 % and 77.4 %, respectively. The optimal cut-off value of VFV was 1.255 dm 3, and all 132 patients were divided into the high-risk early postoperative recurrence group of 69 cases with VFV >1.255 dm 3, and the low-risk early postoperative recurrence group of 63 cases with VFV ≤1.255 dm 3. The disease-free survival time of the high-risk early postoperative recurrence group and the low-risk early post-operative recurrence group were 414(193,702)days and 1 047(620,1 219)days, showing a significant difference between them ( χ2=31.17, P<0.05). Conclusions:VFV is an independent factor influen-cing early tumor recurrence of HCC after resection. As a quantitative indicator of abdominal fat, it can predict the prognosis of HCC patients.
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Primary liver cancer is a highly malignant tumor of the digestive tract, charac-terized by an insidious onset and frequently accompanied by local progression or distant metastasis. Although surgical resection is typically the optimal treatment for patients with locally resectable tumors, the major challenge in achieving long-term survival prognosis lies in the high postoperative recurrence rate. Due to the substantial heterogeneity and complexity of primary liver cancer, a multimodal comprehensive treatment approach involving surgical resection, systemic therapy ( e.g., targeted therapy, chemotherapy, immunotherapy), and/or local treatment is commonly employed. As research regarding primary liver cancer continues to progress, it becomes crucial for surgical oncologists to acquire a deep understanding and proficiency in the latest surgical diagnostic and treatment methods, along with optimal patient selection and management strategies. The authors aim to comprehensively elaborate on the latest practice guidelines for surgically treatment of primary liver cancer and systematically outline the key points in evaluating primary liver cancer, primarily focusing on hepatocellular carcinoma and intrahepatic bile duct carcinoma, and offer pertinent recommendations for clinical treatment, thus providing robust evidence in the clinical management and decision-making for patients with primary liver cancer.
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Primary liver cancer represents a major health concern in China. The combina-tion of targeted therapy with immunotherapy has initiated a new era in liver cancer treatment. Currently, immunotherapy-based combinational therapies are widely applied across all stages of liver cancer care, with notable improvements in neoadjuvant therapy, conversion therapy, postopera-tive adjuvant therapy, and locoregional treatments. These advancements have significantly improved patient outcomes. However, whether it is combination of targeted therapy with immunotherapy or dual immunotherapy for liver cancer, the overall response rate still needs to be further improved. Another crucial challenge remains in accurately selecting patients who will stand to benefit from these treatments. Importantly, tackling both primary and acquired drug resistance also presents an urgent and critical clinical and scientific issue in this field. Advancements in understanding tumor biology, discovering novel therapeutic targets, fostering pharmaceutical innovation and development, and decoding the mechanisms of drug sensitivity and resistance are all equally vital for the future breakthroughs in liver cancer treatments. The authors elaborate on the innovative progress of clinical and translational therapy research for liver cancer, in order to provide reference for the academic community to carry out related research.
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Surgical treatment is the primary curative approach for hepatocellular carcinoma (HCC). In China, the proportion of advanced HCC is high, with a low rate of surgical removal at initial diagnosis and a high rate of postoperative recurrence, posing a serious threat to public health. With the advent of new therapeutic drugs and updated treatment concepts, the comprehensive treatment of HCC has entered a new era. Systemic treatments represented by targeted therapy and immuno-therapy, non-surgical local treatments such as interventional and radiotherapy, and the combination of systemic and local treatments, have significantly improved the treatment efficacy, bringing hope to patients. The authors review past studies, summarize diagnostic and treatment experience, and discuss the comprehensive treatment strategy for HCC in the era of targeted and immunotherapy, with surgery as the main approach.
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With the application of FOLFOX regimen (oxaliplatin, fluorouracil, and leucovorin) in hepatic arterial perfusion (HAIC), chemotherapy has shown a higher value in the comprehensive treatment of hepatocellular carcinoma. Especially in the era of integration of targeted therapy and immunotherapy, the FOLFOX-HAIC, combined with immunotherapy and targeted therapy, further improves antitumor effect. The FOLFOX systemic chemotherapy combined with immunotherapy and targeted therapy scheme explored by the authors has achieved similar effects to triple therapy. Advanced hepatocellular carcinoma exhibits systemic disease characteristics, and systemic chemotherapy combined with targeted and immunotherapy has achieved higher disease control rates in the initial exploration. The mechanism may be that systemic chemotherapy changes the overall immune micro-environment of tumors, transforming the immune microenvironment from immunosuppressive to immune supportive, thereby better enhancing the efficacy of immunotherapy. The optimal regimen of systemic chemotherapy in comprehensive treatment may be obtained from the phase 3 study and basic studies in the future, which will be more efficient, safe and economical in the treatment of advanced hepatocellular carcinoma.
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Hepatocellular carcinoma (hereinafter referred to as liver cancer) often invades portal vein system. Usually, 10%-40% of liver cancer patients present with portal vein tumor thrombosis (PVTT) at the time of diagnosis. In Europe and the United States, liver cancer combined with PVTT is defined as advanced stage, thus, systemic therapy is recommended for these patients according to most published guidelines. But, in Asian countries, liver cancer combined with PVTT is treated in a more positive way, since not all cases of liver cancer combined with PVTT are deemed as a contraindication of surgery. Up to now, no global consensus or standard guideline for liver cancer combined with PVTT has been reached yet. Liver transplantation (LT) serves as a curative therapeutic option for unresectable liver cancer, but liver cancer combined with PVTT has always been regarded as a contraindication for LT due to high tumor recurrence after LT. Meanwhile, liver cancer combined with PVTT is also deemed as a status of extra-hepatic metastasis. In practice, however, many patients with liver cancer combined with PVTT seek LT because other alternatives are not available or suitable. Finally, this part of patients successfully received LT. Moreover, emerging studies reveal that well-selected patients with liver cancer combined with PVTT could benefit from LT. Especially, compared to other alternatives, LT following successful downstaging treatment (such as. selective internal radiation therapy, external beam radiation therapy, estereotactic body radiation therapy, and/or transarterial chemoembolization), could bring survival benefit for patients with liver cancer combined with PVTT. The author concentrates on the issue whether patients with liver cancer combined with PVTT are candidates for LT, and reviews the PVTT diagnosis and classification, supporting evidence, and opposing evidence.
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The high recurrence and metastasis rate of hepatocellular carcinoma (HCC) in patients after hepatectomy significantly impact the prognosis. Exploring effective strategies and indications of postoperative adjuvant therapy for HCC is of great clinical significance in reducing postoperative recurrence rate and improving long-term survival. Traditional local treatment modalities, including transcatheter arterial chemoembolization, hepatic artery infusion chemotherapy, and radiotherapy, continue to play a crucial role in postoperative adjuvant therapy. Recently, the emergence of novel systemic therapy agents, including molecular targeted drugs and immune checkpoint inhibitors, has transformed the landscape of postoperative adjuvant therapy, making the selection of adjuvant therapy more intricate and diverse. The author combines the latest progress in adjuvant therapy to explore the strategies and challenges of postoperative adjuvant therapy for HCC.
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With the deeper understanding of liver anatomy and the use of fluorescent laparoscopic equipment, laparoscopic anatomical liver resection has become the first choice for the treatment of liver cancer, and achieved good short-term and long-term results. Indocyanine green (ICG) fluorescence staining and intraoperative ultrasound are the two most commonly used tech-niques for real-time imaging guidance in laparoscopic anatomical liver resection, especially for the identification of three-dimensional interface between liver segments and the guidance of hepatic parenchyma dissection. Based on latest research progress, and combined with clinical practice, the authors elaborate on the selection of ICG fluorescence staining method and the application of intra-operative ultrasound in laparoscopic anatomical liver segmentectomy.
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Primary liver cancer (hereinafter referred to as liver cancer) is one of the most common and deadly malignancies, posing a serious threat to human health. In recent years, advance-ments in artificial intelligence (AI) have opened up possibilities for the comprehensive enhancement of liver cancer diagnosis and treatment. AI technologies in liver cancer mainly include the machine learning (ML) and the deep learning (DL) models, with DL being a subtype of ML based on neural network structures. The application of ML and DL models in liver cancer has demonstrated tremen-dous potential, but there are still many issues that need to be addressed, including enhancing the generalizability and interpretability of results. The authors elaborate on the application progress of AI in the field of liver cancer in recent years, and explore the current challenges and future explora-tion directions.
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Primary hepatic cancer is one of the major problems that need to be solved urgently in the field of public health, seriously endangering the life and health of Chinese people. Its treatment mode is multidisciplinary participation and synergy of multiple therapeutic methods. Even though there are many common clinical treatments for liver cancer in China, its therapeutic outcome is still unsatisfactory. yttrium-90 has been applied for more than 20 years, and a large amount of foreign clinical data have been accumulated. Combining the latest literature and clinical practice, the authors describe the clinical application and research progress of yttrium-90 micro-sphere selective internal radiation therapy in primary liver cancer.
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Objective:To investigate the evaluation efficacy and predictive prognostic value of alpha-fetoprotein (AFP) response in tyrosine kinase inhibitors (TKIs) in combination with PD-1 inhibitors (α-PD-1) for intermediate-to-advanced hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 205 patients with intermediate-to-advanced HCC who were admitted to 9 medical centers, including Mengchao Hepatobiliary Hospital of Fujian Medical University et al, from March 2020 to July 2022 were collected. There were 178 males and 27 females, aged (52±12)years. Based on AFP response at 6-8 weeks after treatment, patients were divided into the AFP response group (AFP level decreased by ≥50% compared to baseline) and the AFP no response group (AFP level decreased by <50% compared to baseline). Observation indicators: (1) AFP response evaluation of anti-tumor efficacy; (2) comparison of patient prognosis; (3) analysis of factors affecting patient prognosis. Measurement data with normal distrubution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range) and M( Q1, Q3). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and the Log-Rank test was used for survival analysis. The COX proportional risk model was used for univariate analysis and the COX stepwise regression model was used for multivariate analysis. Results:(1) AFP response evaluation of anti-tumor efficacy. Before treatment, all 205 patients were positive of AFP, with a baseline AFP level of 1 560(219,3 400)μg/L. All 205 patients were treated with TKIs in combination with α-PD-1, and the AFP level was 776(66,2 000)μg/L after 6 to 8 weeks of treatment. Of the 205 patients, 88 cases were classified as AFP response and 117 cases were classified as AFP no response. According to the response evaluation criteria in solid tumors version 1.1, the objective response rate (ORR) and disease control rate (DCR) were 42.05%(37/88) and 94.32%(83/88) in patients of the AFP response group and 16.24% (19/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=16.846, 25.950, P<0.05). According to the modified response evaluation criteria in solid tumors, the ORR and DCR were 69.32% (61/88) and 94.32% (83/88) in patients of the AFP response group and 33.33% (39/117) and 64.10% (75/117) in patients of the AFP no response group, showing significant differences between them ( χ2=26.030, 25.950, P<0.05). (2) Comparison of patient prognosis. All 205 patients were followed up for 12.4(range, 2.4-34.0)months after treatment. The median progression free survival time and total survival time were 5.5 months and 17.8 months, respectively. The 1-year, 2-year progression free survival rates were 20.8% and 7.2%, and the 1-year, 2-year overall survival rates were 68.7% and 31.5%, respectively. The median progression free survival time, 1-year and 2-year progression free survival rates were 9.7 months, 39.6% and 14.2% in patients of the AFP response group and 3.7 months, 7.8% and 2.0% in patients of the AFP no response group, showing a significant difference in progression free survival between them ( χ2=43.154, P<0.05). The median overall survival time, 1-year and 2-year overall survival rates were not reached, 85.2% and 56.3% in patients of the AFP response group and 14.6 months, 56.3% and 14.5% in patients of the AFP no response group, showing a significant difference in overall survival between them ( χ2=33.899, P<0.05). (3) Analysis of factors affecting patient prognosis. Results of multivariate analysis showed that invasion of large blood vessels, extrahepatic metastasis, combined hepatic artery intervention therapy, and AFP response were independent factors influencing progression free survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio=1.474, 1.584, 0.631, 0.367, 95% confidence interval as 1.069-2.033, 1.159-2.167, 0.446-0.893, 0.261-0.516, P<0.05), and Eastern Cooperative Oncology Group score, invasion of large blood vessels, extrahepatic metastasis, and AFP response were independent factors influencing overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1 ( hazard ratio= 1.347, 1.914, 1.673, 0.312, 95% confidence interval as 1.041-1.742, 1.293-2.833, 1.141-2.454, 0.197-0.492, P<0.05). Conclusions:AFP response at 6-8 weeks after treatment can effectively evaluate anti-tumor efficacy of TKIs in combination with α-PD-1 for intermediate-to-advanced HCC. AFP response is the independent factor influencing progression free survival and overall survival in patients with intermediate-to-advanced HCC who were treated with TKIs in combination with α-PD-1.
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Objective:To investigate the influencing of portal vein embolization (PVE) and PVE combined with transcatheter arterial chemoembolization (TACE) on secondary hepatectomy and prognosis of patients with initially unresectable hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 102 patients with initially unresectable HCC who were admitted to the Third Affiliated Hospital of Naval Medical University from October 26,2015 to December 31,2022 were collected. There were 82 males and 20 females, aged 52(range,25?73)years. Of 102 patients, 72 cases undergoing PVE combined with TACE were set as the PVE+TACE group, and 30 cases undergoing PVE were set as the PVE group. Observation indicators: (1) surgical resection rate of secondary hepatectomy and increase of future liver remnant (FLR); (2) situations of secondary hepatectomy; (3) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve, and Log-Rank test was used for survival analysis. Results:(1) Surgical resection rate of secondary hepatectomy and increase of FLR. The surgical resection rate of secondary hepatectomy in the PVE+TACE group and the PVE group were 72.2%(52/72) and 53.3%(16/30), respectively, showing no significant difference between the two groups ( χ2=3.400, P>0.05). The surgical waiting time, increasing volume of FLR, growth rate of FLR in the 52 patients of PVE+TACE group receiving secon-dary hepatectomy were 20(range, 14?140)days, 140(range, 62?424)mL, 9.8(range, 1.5?26.5)mL/day, respectively. The above indicators in the 16 patients of PVE group receiving secondary hepatectomy were 16(range, 12?35)days, 160(range, 95?408)mL, 10.5(range, 1.2?28.0)mL/day, respectively. There was no significant difference in the above indicators between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( Z=1.830, 1.498, 1.266, P>0.05). (2) Situations of secondary hepatectomy. The operation time, rate of tumor necrosis (>90%, 60%?90%,<60%), cases with complications ≥ grade Ⅲa in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 200(range, 125?420)minutes, 8, 4, 40, 28, respectively. The above indicators in the 16 patients of PVE group receiving secondary hepatectomy were 170(range, 105?320)minutes, 0, 0, 16, 4, respectively. There were significant differences in the above indicators between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( Z=2.132, ?2.093, χ2=4.087, P<0.05). (3) Follow-up. Sixty-eight patients who completed the surgery were followed up for 40(range, 10?84)months. The 1-, 3-, 5-year recurrence free survival rate in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 73.0%, 53.3%, 35.4%, respectively. The above indicators in the 16 patients of PVE group were 62.5%, 37.5%, 18.8%, respectively. There was a significant difference in the recurrence free survival rate between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( χ2=4.035, P<0.05). The 1-, 3-, 5-year overall survival rate in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 82.5%, 61.2%, 36.6%, respectively. The above indica-tors in the 16 patients of PVE group receiving secondary hepatectomy were 68.8%, 41.7%,20.8%, respectively. There was a significant difference in the overall survival rate between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( χ2=4.767, P<0.05). Conclusion:Compared with PVE, PVE+TACE as stage Ⅰ surgery can increase the surgical resection rate of secondary hepatec-tomy and the recurrence free survival rate of patients with initially unresectable HCC, prolong the long-term survival time, but not influence the growth rate of FLR.
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Objective:To investigate the efficacy of mFOLFOX7 regimen systemic chemo-therapy combined with camrelizumab and apatinib for hepatocellular carcinoma (HCC) with Vp4 portal vain tumor thrombus (PVTT).Methods:The single-arm, open, exploratory clinical study was conducted. The clinicopathological data of 15 HCC patients with Vp4 PVTT who were admitted to the Sun Yat-sen Memorial Hospital of Sun Yat-sen University from April 2021 to October 2023 were collected. There were 14 males and 1 female, aged 48(range, 33-67)years. All patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. Observa-tion indicators: (1) clinical efficacy; (2) survival of patients. Measurement data with skewed distribution were represented as M(rang), and count data were described as absolute numbers or percentages. Results:(1) Clinical efficacy. All 15 patients underwent treatment with mFOLFOX7 regimen combined with camrelizumab and apatinib. According to the response evaluation criteria in solid tumors version 1.1, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 10/15, 1/15, 9/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. According to the modified response evaluation criteria in solid tumors, the ratio of objective response, ratio of complete response, ratio of partial response, ratio of disease control, median progression free survival time and median total survival time of the 15 patients were 12/15, 6/15, 6/15, 15/15, not reached and not reached. The median progression free survival time and median total survival time were both >9 months. Of the 15 patients, 7 cases were successfully treated with conversion therapy with the surgical conversion rate as 7/15, and all of them achieved R 0 resection. The other 6 cases were failed in conversion therapy, and there were 2 cases still undergoing conversion therapy. Of the 7 patients with successful conver-sion therapy, 5 cases achieved complete pathological remission, 1 case achieved major pathological remission with 90% of tumor tissue necrosis, and 1 case achieved complete remission through imaging examination, but new liver lesions appeared in multiple locations during further observation which were surgically removed. Results of histopathology examination on the patient confirmed multiple liver metastases. The proportion of treatment-associated adverse reactions in 15 patients was 13/15, with 7/15 having ≥grade 3 adverse reactions, including diarrhea (3/15), neutropenia (2/15), thrombo-cytopenia (2/15), and elevated aspartate aminotransferase (2/15). One patient may experience ≥1 adverse reaction. All patients were improved after symptomatic treatment. (2) Survival of patients. All 15 patients were followed up for 13.0(range, 2.0-31.0)months. During the follow-up period, 3 patients died. One case died of upper gastrointestinal bleeding after achieving partial remission, with a survival time of 7.5 months. One case died of multiple liver metastases of tumor, with tumors accounting for over 70% volume of liver and a survival time of 9.5 months. One case with multiple liver tumors and bilateral lung metastasis died due to disease progression after achieving partial remission, with a survival time of 13.5 months. The postoperative follow-up time for 7 patients undergoing surgical treatment was 14.0(range, 2.0-25.0)months. Of the 7 patients, 1 case experien-ced tumor recurrence 20.0 months after surgery, and 6 cases had no recurrence at last time of the follow-up (3 cases completed treatment and entered follow-up observation). The longest survival time was 31.0 months. Conclusion:The mFOLFOX7 regimen systemic chemotherapy combined with camrelizumab and apatinib for HCC with Vp4 PVTT is safe and feasible.
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Objective:To investigate the anatomic classification and reconstruction of right intrahepatic bile duct in the donor liver of split liver transplantation (SLT).Methods:The retrospective and descriptive study was constructed. The clinical data of 85 patients who underwent SLT in the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to January 2022 were collected. There were 65 males and 20 females, aged 45(range, 1-82)years. Observation indicators: (1) surgical conditions; (2) anatomy of right intrahepatic bile duct; (3) bile duct reconstruction; (4) postoperative biliary complications; (5) follow-up. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range) or M( Q1, Q3).Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Results:(1) Surgical conditions. Of the 85 donor livers, 11 donor livers were split between the left and right hemilivers, and 74 donor livers were split between the classic right trilobe and left lateral lobe. The cold ischemia time of 85 donor livers was 291(273, 354)minutes, and the operation time, anhepatic phase time and volume of intraoperative blood transfusion of 85 recipients were (497±97)minutes, 51(40, 80)minutes and 8(7, 12)U. (2) Anatomy of right intrahepatic bile duct. Of the 85 donor livers, there were 47 donor livers with classic bile duct anatomical model (type 1), of the ratio as 55.3%(47/85), and 38 donor livers with anatomical variants, of the ratio as 44.7%(38/85). Of the 38 donor livers with anatomical variants, 7 donor livers were type 2, 16 donor livers were type 3a, 2 donor livers were type 3b, 2 donor livers were type 3c, 1 donor liver was type 4, 3 donor livers were type 5a, 4 donor livers were type 5b, 3 donor livers were type 6. For bile duct splitting patterns of the 85 donor livers, 84 donor livers were split with the main trunk of common hepatic duct preserving in the right hemiliver or right trilobe, and 1 donor liver were treated with complete left and right hemiliver splitting to preserve the main trunk of the common hepatic duct in the left hemiliver and the right hemiliver in the right hepatic duct (type 1 bile duct anatomical model). There were 84 donor livers with only one bile duct opening, and 1 donor liver with two bile duct openings (type 3c bile duct anatomical model). (3) Bile duct reconstruction. Of the 85 recipients, there were 69 recipients with common bile duct end-to-end anastomosis to common bile duct of donor liver (38 donor livers with type 1 bile duct anatomical model, 5 donor livers with type 2 bile duct anatomical model, 14 donor livers with type 3a bile duct anatomical model, 2 donor livers with type 3b bile duct anatomical model, 1 donor liver with type 4 bile duct anatomical model, 3 donor livers with type 5a bile duct anatomical model, 4 donor livers with type 5b bile duct anatomical model, 2 donor livers with type 6 bile duct anatomical model), 11 recipients with jejunum anastomosis to common bile duct of donor liver (7 donor livers with type 1 bile duct anatomical model, 2 donor livers with type 2 bile duct anatomical model, 1 donor liver with type 3c bile duct anatomical model, 1 donor liver with type 6 bile duct anatomical model), 3 recipients with jejunum anastomosis to common hepatic duct of donor liver (1 donor liver with type 1 bile duct anatomical model, 2 donor livers with type 3a bile duct anatomical model), 1 recipient with jejunum anastomosis to right hepatic duct of donor liver (type 1 bile duct anatomical model), 1 recipient with common hepatic duct end-to-end anastomosis to right posterior branch of donor liver combined with jejunum of the recipient Roux-en-y anastomosis to common hepatic duct of donor liver (type 3c bile duct anatomical model). (4) Postoperative biliary complications. Of the 85 recipients, 6 cases had postoperative biliary complications, with an incidence of 7.1% (6/85). Of the 6 recipients with postoperative biliary complications, there were 5 recipients with donor liver with type 1 bile duct anatomical model, including 3 cases undergoing postoperative biliary stricture with biliary leakage and 2 cases undergoing postoperative biliary anastomotic stricture, 1 recipient with donor liver with type 3b bile duct anatomical model and undergoing postoperative biliary anastomotic stricture and bile leakage in the liver section. Cases with biliary complications were 5 in the 47 recipients with donor liver with classic bile duct anatomical model and 1 in the 38 recipients with donor liver with anato-mical variants, showing no significant difference between them ( P>0.05). (5) Follow-up. There were 83 recipients receiving followed up for 52(12,96)months. During the follow-up period, 2 recipients died due to non-biliary complication factors (1 donor liver with type 1 bile duct anatomical model and 1 donor liver with 3a bile duct anatomical model). Conclusion:The anatomical classification of right intrahepatic bile duct of donor liver in SLT is mainly classical bile duct anatomical model, and the bile duct reconstruction scheme is mainly common bile duct of donor liver end-to-end anasto-mosis to common bile duct of recipient.
ABSTRACT
Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.