Liver Metastases In Patients Research Articles

Evaluation of the prognostic effectiveness of liver metastasis volume by volumetric measurement in colorectal cancer.

Aim: To evaluate the relationship between liver metastasis volume and survival in colorectal cancer patients using the volumetric measurement method.Methods: 114 colorectal cancer patients with isolated liver metastases were included in the study. Liver tumor volume, total liver volume were calculated from the patients images at the time of diagnosis. Vitrea 7.14 imaging software was used for liver volume analysis and volume analysis of each metastasis.Results: Median overall survival(OS) in the group with tumor volume <42ml3 was 30.98months In the group with tumor volume ≥42ml3, median OS was 16.36months (p: 0.001). In patients who underwent metastasectomy, the median OS in the group with a tumor volume <42ml3 was 52.3months, the median OS in the group with a tumor volume ≥42ml3 was 22.2months. In patients who did not undergo metastasectomy, the median OS in the <42ml3 group was 20.23months, the median OS in the ≥42ml3 group was 15.63months.Conclusion: In our study, we found that liver metastasis volume was prognostic for OS. It is argued that tumor volume measurement by volumetric measurement is a widely used method in the decision for metastasectomy in liver metastatic colorectal cancer patients.

7040 Embolization Of Hepatic Metastases Is Effective For Palliative Management Of Severe Cushing Syndrome

Abstract Disclosure: S. Zhang: None. C. Musonza: None. A. Pillai: None. M. Ramos-Roman: None. J. Abramowitz: None. S. Mirfakhraee: None. P. Polanco: None. A.P. Dackiw: None. S. Al Mutar: None. A. Mallik: None. L. Jia: None. O. Hamidi: None. Background: Cushing syndrome (CS) due to metastatic endocrine neoplasms poses substantial treatment challenges. Arterial embolization and Yttrium-90 (Y-90) radioembolization for hepatic metastases are effective in the management of metastases due to neuroendocrine tumors (NETs). However, data are scarce on the role of embolization of liver metastases in patients with CS. Here, we report two cases of severe CS due to bulky hepatic metastases treated with embolization techniques. Case 1 A 49-year-old woman presented with severe ectopic CS and a 15-cm hepatic metastatic conglomerate. Liver biopsy showed NET of unknown primary. Treatment with subcutaneous octreotide and metyrapone (total daily dose 3000mg) resulted in modest improvement of serum cortisol from 89.8 to 45.8 mcg/dL. She was not a candidate for bilateral adrenalectomy or hepatectomy due to bulky hepatic metastases and subsequently underwent bland embolization to the hepatic conglomerate. Cortisol decreased from 63.9 mcg/dL to 13.8 mcg/dL after the initial procedure, but then rebounded to 35.8 mcg/dL. Serum cortisol decreased to 19.4 mcg/dL following additional embolization, and she was discharged on metyrapone 500mg three times daily. CS remained controlled 12 weeks after the procedure. Interval imaging showed a decrease in size of the dominant hepatic mass (9.7 cm). The patient is currently undergoing chemotherapy with carboplatin and etoposide. Case 2: A 40-year-old man presented to an outside institution with CS due to a 6.9 cm right adrenal mass and underwent adrenalectomy. Pathology showed oncocytic neoplasm of uncertain malignant potential. A year later, he presented to our hospital with recurrent CS and was found to have a 10.2 cm liver lesion, confirming stage IV adrenocortical carcinoma. FDG PET/CT did not show additional lesions. He was treated with osilodrostat and mitotane but his hypercortisolism remained uncontrolled. Mitotane was discontinued after a few doses due to side effects. Metastasectomy was attempted but halted due to extensive peritoneal carcinomatosis noted in the operating room. He was subsequently treated with Y-90 radioembolization to the liver metastasis. Afterwards, osilodrostat was held and serum cortisol decreased from 49.6 to 6.9 mcg/dL on day 14 post-procedure. Hydrocortisone was initiated for treatment of adrenal insufficiency. He received cisplatin, doxorubicin, and etoposide, but stopped after the first cycle due to side effects. Recent imaging showed a decrease in the hepatic lesion to 6.5 cm. Presently, the patient continues to have persistent adrenal insufficiency confirming remission of CS. Conclusion: These cases illustrate the potential efficacy of bland embolization and Y-90 radioembolization for palliative treatment of severe CS in patients with hepatic metastases. Presentation: 6/2/2024

Role of gadoxetic acid-enhanced MRI in the differential diagnosis of chemotherapy-induced focal nodular hyperplasia-like lesions and liver metastases in patients with colorectal cancer.

To describe the gadoxetic acid-enhanced magnetic resonance imaging (MRI) features and follow-up changes of hepatic focal nodular hyperplasia (FNH)-like lesions induced by chemotherapy in patients with colorectal cancer (CRC) and the differential diagnosis of FNH-like lesions and liver metastases. We retrospectively analyzed the data of patients with CRC who received chemotherapy and gadoxetic-enhanced MRI at our hospital. Based on imaging features and pathological findings, the patients were classified into two groups: FNH-like lesions and liver metastases. Two abdominal radiologists reviewed and compared the signal intensities of all images in each phase for both groups. The characteristics of the FNH-like lesions in the hepatobiliary phase were evaluated, and changes in size of lesions were monitored. Thirty patients with 82 FNH-like lesions and 30 with 49 liver metastases following chemotherapy were included in the study. All MRI findings were statistically significantly different between the two groups (p < 0.05). In FNH-like lesions, three enhancement patterns were observed in the hepatobiliary phase: hyperintense/isointense (18.3%), heterogeneous hyperintense (8.5%), and ring-like enhancement (73.2%). The median time from completion of chemotherapy to development of FNH-like lesions was 31 months. During 4-87 months of follow-up, 27 patients with 73 lesions showed the following outcomes: 41 lesions (56.16%) showed stability, 21 lesions (28.77%) growth, and 11 lesions (15.07%) reduction or disappearance. Gadoxetic acid-enhanced MRI can distinguish between chemotherapy-induced FNH-like lesions and liver metastases in patients with CRC. The FNH-like lesions exhibited three enhancement patterns in the hepatobiliary phase, and the changes varied during follow-up.

Patient-derived xenografts and single-cell sequencing identifies three subtypes of tumor-reactive lymphocytes in uveal melanoma metastases

Uveal melanoma (UM) is a rare melanoma originating in the eye’s uvea, with 50% of patients experiencing metastasis predominantly in the liver. In contrast to cutaneous melanoma, there is only a limited effectiveness of combined immune checkpoint therapies, and half of patients with uveal melanoma metastases succumb to disease within 2 years. This study aimed to provide a path toward enhancing immunotherapy efficacy by identifying and functionally validating tumor-reactive T cells in liver metastases of patients with UM. We employed single-cell RNA-seq of biopsies and tumor-infiltrating lymphocytes (TILs) to identify potential tumor-reactive T cells. Patient-derived xenograft (PDX) models of UM metastases were created from patients, and tumor sphere cultures were generated from these models for co-culture with autologous or MART1-specific HLA-matched allogenic TILs. Activated T cells were subjected to TCR-seq, and the TCRs were matched to those found in single-cell sequencing data from biopsies, expanded TILs, and in livers or spleens of PDX models injected with TILs. Our findings revealed that tumor-reactive T cells resided not only among activated and exhausted subsets of T cells, but also in a subset of cytotoxic effector cells. In conclusion, combining single-cell sequencing and functional analysis provides valuable insights into which T cells in UM may be useful for cell therapy amplification and marker selection.

Patient-derived xenografts and single-cell sequencing identifies three subtypes of tumor-reactive lymphocytes in uveal melanoma metastases.

Uveal melanoma (UM) is a rare melanoma originating in the eye's uvea, with 50% of patients experiencing metastasis predominantly in the liver. In contrast to cutaneous melanoma, there is only a limited effectiveness of combined immune checkpoint therapies, and half of patients with uveal melanoma metastases succumb to disease within 2 years. This study aimed to provide a path toward enhancing immunotherapy efficacy by identifying and functionally validating tumor-reactive T cells in liver metastases of patients with UM. We employed single-cell RNA-seq of biopsies and tumor-infiltrating lymphocytes (TILs) to identify potential tumor-reactive T cells. Patient-derived xenograft (PDX) models of UM metastases were created from patients, and tumor sphere cultures were generated from these models for co-culture with autologous or MART1-specific HLA-matched allogenic TILs. Activated T cells were subjected to TCR-seq, and the TCRs were matched to those found in single-cell sequencing data from biopsies, expanded TILs, and in livers or spleens of PDX models injected with TILs. Our findings revealed that tumor-reactive T cells resided not only among activated and exhausted subsets of T cells, but also in a subset of cytotoxic effector cells. In conclusion, combining single-cell sequencing and functional analysis provides valuable insights into which T cells in UM may be useful for cell therapy amplification and marker selection.

Survival prediction in sigmoid colon cancer patients with liver metastasis: a prospective cohort study.

Sigmoid colon cancer is a common type of colorectal cancer, frequently leading to liver metastasis. Predicting cause-specific survival and overall survival in patients with sigmoid colon cancer metastasis to liver is challenging because of the lack of suitable models. Patients with sigmoid colon cancer metastasis to liver (2010-2017) in the Surveillance, Epidemiology, and End Results (SEER) Program were recruited. Patients were split into training and validation groups (7:3). Prognostic factors were identified using competing risk and Cox proportional hazards models, and nomograms for cause-specific survival and overall survival were developed. Model performance was evaluated with the concordance index and calibration curves, with a 2-sided P value less than .05 considered statistically significant. A total of 4981 sigmoid colon cancer with liver metastasis patients were included, with a median follow-up of 20 months (interquartile range [IQR] = 9-33 months). During follow-up, 72.25% of patients died (68.44% from sigmoid colon cancer, 3.81% from other causes). Age, race, grade, T stage, N stage, surgery, chemotherapy, carcinoembryonic antigen, tumor deposits, lung metastasis, and tumor size were prognostic factors for cause-specific survival and overall survival. The models demonstrated good discrimination and calibration performance, with C index values of 0.79 (95% confidence interval [CI] = 0.78 to 0.80) for cause-specific survival and 0.74 (95% CI = 0.73 to 0.75) for overall survival. A web-based application for real-time cause-specific survival predictions was created, accessible at https://shuaishao.shinyapps.io/SCCLM/. Prognostic factors for sigmoid colon cancer with liver metastasis patients were identified based on the SEER database, and nomograms for cause-specific survival and overall survival showed good performance. A web-based application was developed to predict sigmoid colon cancer with liver metastasis-specific survival, aiding in survival risk stratification.

Grade 3 cytolysis in a patient with metastatic colorectal cancer consuming a mushroom powder-based alternative therapy.

The use of Complementary Alternative Medicine (CAM) in patients with cancer is increasing. CAM is associated with potential toxicity and drug interactions, particularly with chemotherapy. Here, we report a case of cytolysis and hepatic cholestasis in a patient who was self-medicated with a mushroom powder-based alternative therapy containing Agaricus blazei Murril (ABM) during cancer treatment. A 43-year-old woman with metastatic colorectal cancer and hepatic metastases was admitted to our hospital for intravenous chemotherapy. Markers of hepatic grade 3 cytolysis and cholestasis were identified during the pretreatment consultation. The baseline results were within normal limits. The chemotherapy was immediately canceled, and further tests were performed. After the investigation, the patient reported taking three mushroom powder-based capsules per day since November 2023. The dietary supplement contained ABM and Hericium erinaceus (HE) powder. After Pharmaceutical analysis, treatment with the supplement was discontinued, and the patient has not resumed. The changes in liver function were also favorable. In our case, given the improvement in liver function after CAM discontinuation, hepatic cytolysis appeared to be linked to ABM consumption despite the patient's liver metastases. Pharmaceutical analysis of CAM is essential to ensure the safety and optimization of cancer treatments. Patients should also communicate their CAMs to healthcare professionals and be aware of the consequences of consuming these dietary supplements. Finally, collaboration between pharmaceutical teams and oncologists is essential for optimal management of cancer patients.

539P Hepatic arterial infusion chemotherapy combined with sintilimab and regorafenib as adjuvant therapy for colorectal liver metastasis patients with high risk of recurrent: A single-arm, phase II study

539P Hepatic arterial infusion chemotherapy combined with sintilimab and regorafenib as adjuvant therapy for colorectal liver metastasis patients with high risk of recurrent: A single-arm, phase II study

Detection of liver metastases in patients with pancreatic adenocarcinoma: MRI versus CT

Introduction. Detection of liver metastases is important to guide therapeutic management of pancreatic cancer. Data suggest that magnetic resonance imaging (MRI) is more sensitive than computed tomography (CT) for the diagnosis of liver metastases from pancreatic cancer. However, MRI is currently not recommended in several guidelines. Purpose. To compare the performance of CT vs MRI in detection of liver metastases in patients with pancreatic adenocarcinoma. Methods. This was a retrospective single-center study over 24 months from January 2020 to December 2021 of patients suspected of having PDAC. All patients underwent contrast-enhanced triple phase CT and contrast-enhanced MRI/MRCP. The CT and MRI assessment of resectability and detection of metastases were performed according to NCCN version 1.2024 criteria by one observer based on clinical report. Composite reference standard based on decision of operability (based on multidisciplinary tumor board decision), surgical findings (delay of 2 to 3 weeks after imaging) and histopathologic findings. Results. 117 patients (M/F 52/65, mean age 62±11y) were included. The mean tumor size was 43.6±15.2mm (add range). 42/46 patients (34.2%/39.3%) were diagnosed with metastatic disease on CT/MRI, 40/36 patients (34.2%/30.8%) were resectable, 20/16 patients (17.1%/13.7%) were borderline resectable and 15/19 patients (12.8%/16.2%) were locally advanced. The detection of liver metastases on CT and MRI was compared with surgical findings in 45 patients (38.5%). The analysis showed that MRI had superior performance to CT, with sensitivity at 100% vs 60% and specificity at 97.1% vs 97.1%, PPV at 90.9% vs 85.7% and NPV 100% vs 89.5% (MRI/CT). Conclusion. MRI is more sensitive than CT in detection of liver metastases in patients with pancreatic adenocarcinoma.

Analysis of risk factors for liver metastasis in patients with gastric cancer and construction of prediction model: A multicenter study

BackgroundTo retrospectively analyze the risk factors of liver metastases in patients with gastric cancer in a single center, and to establish a Nomogram prediction model to predict the occurrence of liver metastases.MethodsA total of 96 patients with gastric cancer who were also diagnosed with liver metastasis (GCLM) and treated in our center from January 1, 2010 to December 31, 2020 were included. The clinical data of 1095 patients with gastric cancer who were diagnosed without liver metastases (GC) in our hospital from January 1, 2014 to December 31, 2017 were retrospectively compared by univariate and multivariate logistic regression. 309 patients diagnosed with gastric cancer in another medical center from January 1, 2014 to December 31, 2018 were introduced as external validation cohorts.ResultsBased on the training cohort, multivariate analysis revealed that tumor site (OR = 0.55, P = 0.046), N stage (OR = 4.95, P = 0.004), gender (OR = 0.04, P = 0.001), OPNI (OR = 0.95, P = 0.041), CEA (OR = 1.01, P = 0.018), CA724 (OR = 1.01, P = 0.006), CA242 (OR = 1.01, P = 0.006), WBC (OR = 1.13, P = 0.024), Hb (OR = 0.98, P < 0.001) were independent risk factors for liver metastasis in patients with gastric cancer, and Nomogram was established based on this analysis (C-statistics = 0.911, 95%CI 0.880–0.958), and the C-statistics of the external validation cohorts achieved 0.926. ROC analysis and decision curve analysis (DCA) revealed that the nomogram provided superior diagnostic value than single variety.ConclusionsBy innovatively introducing a new tumor location classification method, systemic inflammatory response indicators such as NLR and PLR, and nutritional index OPNI, the risk factors of gastric cancer liver metastasis were determined and a predictive Nomogram model was established, which can provide clinical prediction for patients with gastric cancer liver metastasis.

Assessing the performance of AI-assisted technicians in liver segmentation, Couinaud division, and lesion detection: a pilot study

BackgroundIn patients with primary and secondary liver cancer, the number and sizes of lesions, their locations within the Couinaud segments, and the volume and health status of the future liver remnant are key for informing treatment planning. Currently this is performed manually, generally by trained radiologists, who are seeing an inexorable growth in their workload. Integrating artificial intelligence (AI) and non-radiologist personnel into the workflow potentially addresses the increasing workload without sacrificing accuracy. This study evaluated the accuracy of non-radiologist technicians in liver cancer imaging compared with radiologists, both assisted by AI.MethodsNon-contrast T1-weighted MRI data from 18 colorectal liver metastasis patients were analyzed using an AI-enabled decision support tool that enables non-radiology trained technicians to perform key liver measurements. Three non-radiologist, experienced operators and three radiologists performed whole liver segmentation, Couinaud segment segmentation, and the detection and measurements of lesions aided by AI-generated delineations. Agreement between radiologists and non-radiologists was assessed using the intraclass correlation coefficient (ICC). Two additional radiologists adjudicated any lesion detection discrepancies.ResultsWhole liver volume showed high levels of agreement between the non-radiologist and radiologist groups (ICC = 0.99). The Couinaud segment volumetry ICC range was 0.77–0.96. Both groups identified the same 41 lesions. As well, the non-radiologist group identified seven more structures which were also confirmed as lesions by the adjudicators. Lesion diameter categorization agreement was 90%, Couinaud localization 91.9%. Within-group variability was comparable for lesion measurements.ConclusionWith AI assistance, non-radiologist experienced operators showed good agreement with radiologists for quantifying whole liver volume, Couinaud segment volume, and the detection and measurement of lesions in patients with known liver cancer. This AI-assisted non-radiologist approach has potential to reduce the stress on radiologists without compromising accuracy.Graphical abstract

Tissue-resident memory CD103+CD8+ T cells in colorectal cancer: its implication as a prognostic and predictive liver metastasis biomarker

BackgroundTissue-resident memory CD103+CD8+ T cells (CD103+CD8+ TRMs) are important components of anti-tumor immunity. However, the significance of CD103+CD8+ TRMs in colorectal cancer (CRC) and their advantages remain unclear.MethodsClinical data and specimens were used to evaluate the significance of CD103+CD8+ TRMs in CRC. A mouse subcutaneous tumorigenesis model and colony-formation assay were conducted to evaluate the anti-tumor effects of CD103+CD8+ TRMs. Finally, the infiltration density and function of CD103+CD8+ TRMs in the tumors were evaluated using flow cytometry.ResultsIn this study, we showed that highly infiltrated CD103+CD8+ TRMs were associated with earlier clinical stage and negative VEGF expression in CRC patients and predicted a favorable prognosis for CRC/CRC liver metastases patients. Interestingly, we also found that CD103+CD8+ TRMs may have predictive potential for whether CRC develops liver metastasis in CRC. In addition, we found a positive correlation between the ratio of the number of α-SMA+ vessels to the sum of the number of α-SMA+ and CD31+ vessels in CRC, and the infiltration level of CD103+CD8+ TRMs. In addition, anti-angiogenic therapy promoted infiltration of CD103+CD8+ TRMs and enhanced their ability to secrete interferon (IFN)-γ, thus further improving the anti-tumor effect. Moreover, in vivo experiments showed that compared with peripheral blood CD8+ T cells, CD103+CD8+ TRMs infused back into the body could also further promote CD8+ T cells to infiltrate the tumor, and they had a stronger ability to secrete IFN-γ, which resulted in better anti-tumor effects.ConclusionWe demonstrated that CD103+CD8+ TRMs have the potential for clinical applications and provide new ideas for combined anti-tumor therapeutic strategies, such as anti-tumor angiogenesis therapy and CAR-T combined immunotherapy.

Prediction and analysis of albumin-bilirubin score combined with liver function index and carcinoembryonic antigen on liver metastasis of colorectal cancer.

Colorectal cancer (CRC) is a common malignant tumor, and liver metastasis is one of the main recurrence and metastasis modes that seriously affect patients' survival rate and quality of life. Indicators such as albumin bilirubin (ALBI) score, liver function index, and carcinoembryonic antigen (CEA) have shown some potential in the prediction of liver metastasis but have not been fully explored. To evaluate its predictive value for liver metastasis of CRC by conducting the combined analysis of ALBI, liver function index, and CEA, and to provide a more accurate liver metastasis risk assessment tool for clinical treatment guidance. This study retrospectively analyzed the clinical data of patients with CRC who received surgical treatment in our hospital from January 2018 to July 2023 and were followed up for 24 months. According to the follow-up results, the enrolled patients were divided into a liver metastasis group and a nonliver metastasis group and randomly divided into a modeling group and a verification group at a ratio of 2:1. The risk factors for liver metastasis in patients with CRC were analyzed, a prediction model was constructed by least absolute shrinkage and selection operator (LASSO) logistic regression, internal validation was performed by the bootstrap method, the reliability of the prediction model was evaluated by subject-work characteristic curves, calibration curves, and clinical decision curves, and a column graph was drawn to show the prediction results. Of 130 patients were enrolled in the modeling group and 65 patients were enrolled in the verification group out of the 195 patients with CRC who fulfilled the inclusion and exclusion criteria. Through LASSO regression variable screening and logistic regression analysis. The ALBI score, alanine aminotransferase (ALT), and CEA were found to be independent predictors of liver metastases in CRC patients [odds ratio (OR) = 8.062, 95% confidence interval (CI): 2.545-25.540], (OR = 1.037, 95%CI: 1.004-1.071) and (OR = 1.025, 95%CI: 1.008-1.043). The area under the receiver operating characteristic curve (AUC) for the combined prediction of CRLM in the modeling group was 0.921, with a sensitivity of 78.0% and a specificity of 95.0%. The H-index was 0.921, and the H-L fit curve had χ2 = 0.851, a P value of 0.654, and a slope of the calibration curve approaching 1. This indicates that the model is extremely accurate, and the clinical decision curve demonstrates that it can be applied effectively in the real world. We conducted internal verification of one thousand resamplings of the modeling group data using the bootstrap method. The AUC was 0.913, while the accuracy was 0.869 and the kappa consistency was 0.709. The combination prediction of liver metastasis in patients with CRC in the verification group had an AUC of 0.918, sensitivity of 85.0%, specificity of 95.6%, C-index of 0.918, and an H-L fitting curve with χ 2 = 0.586, P = 0.746. The ALBI score, ALT level, and CEA level have a certain value in predicting liver metastasis in patients with CRC. These three criteria exhibit a high level of efficacy in forecasting liver metastases in patients diagnosed with CRC. The risk prediction model developed in this work shows great potential for practical application.

Possibilities and prospects of artificial intelligence in the treatment of colorectal cancer (review)

AIM: to study modern approaches to the application of machine learning and deep learning technologies for the management of patients with colorectal cancer.MATERIALS AND METHODS: after screening 398 publications, 112 articles were selected and the full text of the works was studied. After studying the full texts of the articles, the works were selected, machine learning models in which showed an accuracy of more than 80%. The results of 41 original publications were used to write this review.RESULTS: several areas have been identified that are the most promising for the use of artificial intelligence technologies in the management of patients with colorectal cancer. They are predicting the response to neoadjuvant treatment, predicting the risks of metastasis and recurrence of the disease, predicting the toxicity of chemotherapy, assessing the risks of leakage of colorectal anastomoses. As the most promising factors that can be used to train models, researchers consider clinical parameters, the immune environment of the tumor, tumor RNA signatures, as well as visual pathomorphological characteristics. The models for predicting the risk of liver metastases in patients with stage T1 (AUC = 0.9631), as well as models aimed at assessing the risk of 30-day mortality during chemotherapy (AUC = 0.924), were characterized with the greatest accuracy. Most of the technologies discussed in this paper are software products trained on data sets of different quality and quantity, which are able to suggest a treatment scenario based on predictive models, and, in fact, can be used as a doctor’s assistant with very limited functionality.CONCLUSION: the current level of digital technologies in oncology and in the treatment of colorectal cancer does not allow us to talk about a strong AI capable of making decisions about the treatment of patients without medical supervision. Personalized treatment based on the microbiotic and mutation spectrum and, for example, personal pharmacokinetics, so far look fantastic, but certainly promising for future developments.

A novel algorithm to differentiate between primary lung tumors and distant liver metastasis in lung cancers using an exosome based multi gene biomarker panel

The lack of non-invasive methods for detection of early metastasis is a crucial reason for the poor prognosis of lung cancer (LC) liver metastasis (LM) patients. In this study, the goal was to identify circulating biomarkers based on a biomarker model for the early diagnosis and monitoring of patients with LCLM. An 8-gene panel identified in our previous study was validated in CTC, cfRNA and exosomes isolated from primary lung cancer with & without metastasis. Further multivariate analysis including PCA & ROC was performed to determine the sensitivity and specificity of the biomarker panel. Model validation cohort (n = 79) was used to verify the stability of the constructed predictive model. Further, clinic-pathological factors, survival analysis and immune infiltration correlations were also performed. In comparison to our previous tissue data, exosomes demonstrated a good discriminative value with an AUC of 0.7247, specificity (72.48%) and sensitivity (96.87%) for the 8-gene panel. Further individual gene patterns led us to a 5- gene panel that showed an AUC of 0.9488 (p = < 0.001) and 0.9924 (p = < 0.001) respectively for tissue and exosomes. Additionally, on validating the model in a larger cohort a risk score was obtained (RS > 0.2) for prediction of liver metastasis with an accuracy of 95%. Survival analysis and immune filtration markers suggested that four exosomal markers were independently associated with poor overall survival. We report a novel blood-based exosomal biomarker panel for early diagnosis, monitoring of therapeutic response, and prognostic evaluation of patients with LCLM.

Prognostic value of liver metastases in colorectal cancer treated by systemic therapy: An ARCAD pooled analysis

BackgroundThe liver is the most frequent site of metastases in colorectal cancer (CRC). This study aimed to assess the response rate and survival outcomes in metastatic CRC patients with non-liver metastases (NLM) compared to those with liver metastases (LM) across different lines of treatment. MethodsA total of 17,924 mCRC patients included in 26 trials from the ARCAD CRC database were analyzed. The analysis was conducted based on the presence or absence of LM across different treatment groups: chemotherapy (CT) alone, CT + anti-VEGF, CT + anti-EGFR in KRAS wild-type tumors, within the first-line (1 L) and second-line (2 L), and patients enrolled in third-line (≥3 L) trials treated with trifluridine/tipiracil or regorafenib or placebo. The endpoints were overall survival (OS), progression-free survival (PFS), and overall response rate (ORR). ResultsOut of the 17,924 patients, 14,066 had LM (30.6 % with only liver involvement and 69.4 % with liver and other metastatic sites), while 3858 patients had NLM. In the CT alone and CT + anti-VEGF subgroups, NLM patients showed better OS and PFS in the 1 L and 2 L settings. However, in the CT + anti-EGFR 1 L and 2 L subgroups, there was no significant difference in OS and PFS between NLM and LM patients. In the ≥ 3 L subgroups, better OS and PFS were observed in NLM patients. ORRs were higher in LM patients than in NLM patients across all cohorts treated in the 1 L and only in the anti-EGFR cohort in the 2 L. ConclusionLM is a poor prognostic factor for mCRC increasing from 1 L to ≥ 3 L except for patients in 1 L and 2 L receiving CT+anti-EGFR. These data justify using LM as a stratification factor in future trials for patients with unresectable mCRC.

Efficacy and safety of immunotherapy in patients with liver metastases in patients with esophageal cancer: A retrospective, real-world study.

e16033 Background: Advanced or metastatic esophageal cancer patients tend to have a poor prognosis. The liver is the most common organ of distant metastasis in esophageal cancer. The liver metastases associated with a higher risk of survival. Developing the optimal treatment modalities is especially important for those patients. The efficacy of programmed cell death protein 1 (PD-1) or its ligand (PD-L1) inhibitors have not been clearly clarified in liver metastasis of esophageal cancer. Methods: This is a single-center, retrospective, real-world study. We collected general information and clinical data from patients with liver metastasis of esophageal cancer who admitted to Luoyang Central Hospital between April 2020 and October 2023. All patients were first diagnosed esophageal cancer with liver metastasis and received PD-1 or PD-L1 inhibitor regimen or chemotherapy regimen for the first time. Patients treated with interventional therapy or who had received PD-1 or PD-L1 inhibitors were excluded. The efficacy and safety of patients receiving immunotherapy were evaluated, including overall survival (OS), objective response rate (ORR), progression-free survival (PFS), disease control rate (DCR), grade 3-5 treatment-related adverse events (TRAE), and immune-related adverse events (irAE). We also evaluated the relationship between clinical features and outcomes using univariate and multivariate analyses. Results: We enrolled 61 patients with a median age of 61 (44-88) years, 63.9% males; 37 in the immunotherapy group (23 in the first-line group, 62.2%) and 24 in the chemotherapy group (19 in the first-line group, 79.2%). Median OS was 14.1 (95% CI 11.4-16.8) months in the immunotherapy group and 9.2 (95% CI 8.5-9.9, p &lt; 0.01) months in the chemotherapy group; In first-line treatment, the median OS in the two groups was 19.4 (95%CI 15.0-22.2) months and 9.6 (95%CI 8.9-10.3, p &lt; 0.01) months. In all patients, Median PFS was 7.2 (95% CI 6.4 – 8.0) months in the immunotherapy group and 4.6 (95% CI 3.8 – 5.4) months in the chemotherapy group, p = 0.174. The ORR of immunotherapy and chemotherapy was 56.8% and 33.3%; DCR was 78.4% and 62.5%. Univariate and multivariate analysis showed that N stage and treatment regimen were significant factors related with OS. Grade 3 TRAE in immunotherapy group and chemotherapy group were 29.7% and 29.2%, respectively. The incidence of irAEs was 10.8%. No treatment-related deaths occurred. Conclusions: This real-world data showed PD-1 or PD-L1 inhibitors might have good efficacy and manageable safety in EC patients with liver metastases, especially in first-line patients. [Table: see text]

First-line serplulimab plus HLX04 and XELOX versus placebo plus bevacizumab and XELOX in metastatic colorectal cancer: A phase 2/3 study.

3569 Background: This is a randomized, double-blind, multicenter phase 2/3 study comparing the efficacy and safety of serplulimab (a novel anti-PD-1 antibody) plus HLX04 (an approved bevacizumab biosimilar) and XELOX chemotherapy vs. placebo plus bevacizumab and XELOX as first-line treatment for metastatic colorectal cancer (mCRC). Interim analysis presented at the 2024 ASCO Gastrointestinal Cancers Symposium showed improvement in progression-free survival (PFS), and duration of response (DOR) for the serplulimab arm. Here we present the updated results with an extended follow-up duration of 24.2 months and the subgroup analysis results. Methods: In the phase 2 part, 114 patients with mCRC and no prior systemic therapy were randomized 1:1 (serplulimab arm, n = 57; placebo arm, n = 57) to receive intravenous (IV) serplulimab (300 mg) plus HLX04 (7.5 mg/kg) and XELOX (IV oxaliplatin [130 mg/m2] and oral capecitabine [1000 mg/m2]) (group A) or placebo plus bevacizumab and XELOX (group B) once every 3 weeks. Stratification factors were PD-L1 expression level, ECOG PS score, and primary tumor site. The primary endpoint was independent radiological review committee (IRRC)-assessed PFS per RECIST 1.1. Secondary endpoints included other efficacy endpoints, safety, pharmacokinetics, biomarker explorations, and quality-of-life assessments. Results: By the data cutoff of December 15, 2023, continuing improvements in PFS (16.8 vs. 10.7 months; stratified HR 0.62, 95% CI 0.33–1.12) and DOR (19.4 vs. 12.6 months; stratified HR 0.33, 95% CI 0.13–0.85) were observed for group A compared to group B. 55/112 (49.1%) patients in the efficacy evaluable set has died; 24/55 (43.6%) patients in group A and 31/57 (54.4%) in group B. Median overall survival (OS) was not reached (NR) in group A, and 21.2 months in group B (stratified HR 0.75, 95% CI 0.43–1.30). Subgroup analysis showed similar trends towards an improved median OS for key subgroups including microsatellite stable (MSS) (NR vs. 21.2 months; stratified HR 0.73, 95% CI 0.39–1.37), KRAS-mutant (21.9 vs. 18.2 months; unstratified HR 0.72, 95% CI 0.37–1.39), and liver metastasis (NR vs. 20.2 months; unstratified HR 0.75, 95% CI 0.40–1.41) patients. The estimated OS rate at 2 years was 53.7% (95% CI 39.1–66.2), and 43.1% (95% CI 29.5–55.9) in group A, and group B, respectively. 38 (69.1%) patients in group A and 34 (59.6%) in group B had grade ≥3 treatment-related adverse events. Serplulimab/placebo-related deaths occurred in 2 (3.6%) patients in group A and 1 (1.8%) patient in group B. Conclusions: With an extended follow-up duration, improved survival benefits demonstrated with the addition of serplulimab were maintained in the first-line treatment of mCRC, alongside a manageable safety profile. These results support serplulimab plus HLX04 and XELOX as a promising first-line treatment option for mCRC that warrants further investigation. Clinical trial information: NCT04547166 .

LINC02257 regulates colorectal cancer liver metastases through JNK pathway

BackgroundLong noncoding RNAs (lncRNAs) have emerged as critical regulators of colorectal cancer (CRC) progression, but their roles and underlying mechanisms in colorectal cancer liver metastases (CRLMs) remain poorly understood. MethodsTo explore the expression patterns and functions of lncRNAs in CRLMs, we analyzed the expression profiles of lncRNAs in CRC tissues using the TCGA database and examined the expression patterns of lncRNAs in matched normal, CRC, and CRLM tissues using clinical samples. We further investigated the biological roles of LINC02257 in CRLM using in vitro and in vivo assays, and verified its therapeutic potential in a mouse model of CRLM. ResultsOur findings showed that LINC02257 was highly expressed in metastatic CRC tissues and its expression was negatively associated with overall survival. Functionally, LINC02257 promoted CRC cell growth, migration, metastasis, and inhibited cell apoptosis in vitro, and enhanced liver metastasis in vivo. Mechanistically, LINC02257 up-regulated phosphorylated c-Jun N-terminal kinase (JNK) to promote CRLM. ConclusionsOur study revealed that LINC02257 played a key role in the proliferation and metastasis of CRC cells through the LINC02257/JNK axis. Targeting this axis may represent a promising therapeutic strategy for the treatment of liver metastases in patients with CRC.

Abstract 1331: MiNK-215, an IL-15 armored FAP-targeting CAR iNKT cell therapy, effectively treats human organoid models of treatment-refractory MSS colorectal cancer (CRC) liver metastases

Abstract The presence of liver metastases in patients with microsatellite-stable (MSS) or mismatch repair proficient (pMMR) colorectal cancer (CRC) is associated with poor response to current pharmacological treatments, including immune checkpoint blockade (ICB). The tumor microenvironment (TME) of CRC liver metastases is characterized by a highly immunosuppressive phenotype that includes poor immunogenicity, a paucity of dendritic cells, elimination of tumor-specific effector T cells, and an abundance of immunosuppressive intrahepatic Kupffer cells and myeloid-derived suppressor cells. This underscores the urgent need for innovative therapeutic approaches targeted specifically to patients with CRC liver metastases. Here we describe MiNK-215, an IL-15 armored FAP-targeting CAR iNKT cell therapy, derived from the AgenT-797 allogeneic iNKT platform, as a potential novel therapeutic approach for patients with CRC liver metastases. To better model ICB refractory human MSS CRC liver metastases, we developed an ex vivo human organoid model that recapitulates the histological and immunological features of human disease. Organoids were comprised of MSS CRC cells engineered to express nuclear GFP and HLA-A2-NY-ESO-1, hepatocytes, Kupffer cell-enriched non-parenchymal cells, and HLA-matched peripheral blood mononuclear cells (PBMCs) supplemented with NY-ESO-1-reactive T cells. Organoid models of CRC lung metastases, which are traditionally more responsive to ICB therapy were also developed to compare the models to clinical experience and further validate their usefulness. Models were treated with Fc-enhanced anti-CTLA-4 (botensilimab) and anti-PD-1 (balstilimab) antibodies, or MiNK-215 to assess tumor killing and immune activation. Botensilimab and balstilimab enhanced T cell activation and cytotoxicity of CRC tumor cells in the absence of “normal” liver cells and in lung organoids. However, they were less effective in organoid models of CRC with liver metastases consistent with clinical observations. In contrast, MiNK-215 potently enhanced tumor killing by T cells in models of CRC with liver metastases. Tumor killing in CRC liver organoid models by MiNK-215 was associated with depletion of immune suppressive FAP-expressing stellate cells and increased CD8+ T cell infiltration. Our findings demonstrate that in treatment-refractory CRC-liver metastatic organoid models, MiNK-215 overcomes the limitations of ICB therapy to home to sites of disease, reprogram the TME, recruit tumor-reactive T cells and enhance tumor killing. Ex-vivo human CRC liver and lung metastatic organoid models are a novel platform that can be leveraged to rapidly identify new therapeutic approaches for potential clinical evaluation. Citation Format: Shanmugarajan Krishnan, Bishnu Joshi, Justin Keith, Ryan Frazier, Barbara Kalinowska, Jin San Choi, Stephanie Sanders, Shannon Boi, Olivier Le Tonqueze, Nick Kushner, Kah Teong Soh, Robert Stein, Tyler J. Curiel, Marc A. van Dijk, Enoch Kim, Eleni Chantzoura, Nils-Petter Rudqvist, Dhan Chand. MiNK-215, an IL-15 armored FAP-targeting CAR iNKT cell therapy, effectively treats human organoid models of treatment-refractory MSS colorectal cancer (CRC) liver metastases [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1331.