Real World Experience of Drug Induced Liver Injury in Patients Undergoing Chemotherapy

Improved Detection of Drug-Induced Liver Injury by Integrating Predicted In Vivo and In Vitro Data

Drug-induced liver injury (DILI) has been a significant challenge in drug discovery, often leading to clinical trial failures and necessitating drug withdrawals. Over the last decade, the existing suite of in vitro proxy-DILI assays has generally improved at identifying compounds with hepatotoxicity. However, there is considerable interest in enhancing the in silico prediction of DILI because it allows for evaluating large sets of compounds more quickly and cost-effectively, particularly in the early stages of projects. In this study, we aim to study ML models for DILI prediction that first predict nine proxy-DILI labels and then use them as features in addition to chemical structural features to predict DILI. The features include in vitro (e.g., mitochondrial toxicity, bile salt export pump inhibition) data, in vivo (e.g., preclinical rat hepatotoxicity studies) data, pharmacokinetic parameters of maximum concentration, structural fingerprints, and physicochemical parameters. We trained DILI-prediction models on 888 compounds from the DILI data set (composed of DILIst and DILIrank) and tested them on a held-out external test set of 223 compounds from the DILI data set. The best model, DILIPredictor, attained an AUC-PR of 0.79. This model enabled the detection of the top 25 toxic compounds (2.68 LR+, positive likelihood ratio) compared to models using only structural features (1.65 LR+ score). Using feature interpretation from DILIPredictor, we identified the chemical substructures causing DILI and differentiated cases of DILI caused by compounds in animals but not in humans. For example, DILIPredictor correctly recognized 2-butoxyethanol as nontoxic in humans despite its hepatotoxicity in mice models. Overall, the DILIPredictor model improves the detection of compounds causing DILI with an improved differentiation between animal and human sensitivity and the potential for mechanism evaluation. DILIPredictor required only chemical structures as input for prediction and is publicly available at https://broad.io/DILIPredictor for use via web interface and with all code available for download.

Improved Detection of Drug-Induced Liver Injury by Integrating Predicted in vivo and in vitro Data

Drug-induced liver injury (DILI) has been significant challenge in drug discovery, often leading to clinical trial failures and necessitating drug withdrawals. The existing suite of in vitro proxy-DILI assays is generally effective at identifying compounds with hepatotoxicity. However, there is considerable interest in enhancing in silico prediction of DILI because it allows for the evaluation of large sets of compounds more quickly and cost-effectively, particularly in the early stages of projects. In this study, we aim to study ML models for DILI prediction that first predicts nine proxy-DILI labels and then uses them as features in addition to chemical structural features to predict DILI. The features include in vitro (e.g., mitochondrial toxicity, bile salt export pump inhibition) data, in vivo (e.g., preclinical rat hepatotoxicity studies) data, pharmacokinetic parameters of maximum concentration, structural fingerprints, and physicochemical parameters. We trained DILI-prediction models on 888 compounds from the DILIst dataset and tested on a held-out external test set of 223 compounds from DILIst dataset. The best model, DILIPredictor, attained an AUC-ROC of 0.79. This model enabled the detection of top 25 toxic compounds compared to models using only structural features (2.68 LR+ score). Using feature interpretation from DILIPredictor, we were able to identify the chemical substructures causing DILI as well as differentiate cases DILI is caused by compounds in animals but not in humans. For example, DILIPredictor correctly recognized 2-butoxyethanol as non-toxic in humans despite its hepatotoxicity in mice models. Overall, the DILIPredictor model improves the detection of compounds causing DILI with an improved differentiation between animal and human sensitivity as well as the potential for mechanism evaluation. DILIPredictor is publicly available at https://broad.io/DILIPredictor for use via web interface and with all code available for download and local implementation via https://pypi.org/project/dilipred/.

A novel 4'-brominated derivative of fisetin induces cell cycle arrest and apoptosis and inhibits EGFR/ERK1/2/STAT3 pathways in non-small-cell lung cancer without any adverse effects in mice

The therapeutic toxicity and resistance to currently available treatment options are major clinical challenges for the management of lung cancer. As a novel strategy, we synthesized analogues of a known flavonol, fisetin, which has shown anti-tumorigenic potential against cancer in cell culture with no adverse effects in animal models. We studied the synthetic analogues of fisetin for their anti-cancer potential against lung cancer cells, toxicity in mice and efficacy in a xenograft model. Brominated fisetin analogues were screened for their effects on the viability of A549 and H1299 lung cancer cells, and three analogues (3a, 3b, 3c), showed improved activity compared to fisetin. These analogues were more effective in restricting lung cancer cell proliferation, inducing G₂ M phase cell cycle arrest and apoptosis. The fisetin analogues also downregulated EGFR/ERK1/2/STAT3 pathways. Fisetin analogue-induced apoptosis was accompanied by a higher Bax to Bcl-2 expression ratio. Based on the in vitro studies, the most effective fisetin analogue 3b was evaluated for in vivo toxicity, wherein it did not show any hepatotoxicity or adverse health effects in mice. Furthermore, analogue 3b showed greater antitumor efficacy (p < .001) as compared to its parent compound fisetin in a human lung cancer cell xenograft study in athymic mice. Together, our data suggest that the novel fisetin analogue 3b is more effective in restricting lung cancer cell growth, both in vitro as well as in vivo, without any apparent toxicity, supporting its further development as a novel anti-lung cancer agent.

Evaluation of liver function tests to identify hepatotoxicity among acute lymphoblastic leukemia patients who are receiving chemotherapy induction

The effect of induction chemotherapy on liver function in patients with acute lymphoblastic leukemia is not well documented in Ethiopia. This study assessed hepatotoxicity in patients with acute lymphoblastic leukemia who were undergoing induction chemotherapy in Ethiopia. A 1-month cohort study was undertaken in forty patients with acute lymphoblastic leukemia, with measurements taken at the baseline, second, and fourth weeks. A Log 10 transformation was done because of the skewed distribution of liver function tests. Descriptive statistics such as mean and proportion were calculated. A mixed model ANOVA and Bonferroni post hoc test were computed. A p value < 0.05 was declared to determine statistical significance. Clinically significant hepatotoxicity was observed in 15% of patients. Mild liver injury occurred in 5% of patients. The mean of all liver function tests increased significantly from pre-induction to post-induction. ALT levels were significantly higher in patients who received blood transfusions, but not in those who did not. Regardless of other factors, ALP level in children is significantly higher than in adults, although total bilirubin in adults is higher than in children. A significant proportion of patients had hepatotoxicity. During chemotherapy induction, the mean of all liver function tests rose significantly, but this elevation of serum liver function tests may be transient. Chemotherapy drugs should be given without causing a significant alteration in serum liver function tests. Continuous monitoring of patients should be required.

Dili is rare amongst patients without liver metastases receiving cancer treatment in Iceland: a population-based cohort study

BACKGROUND

There is limited information on the frequency of idiosyncratic drug-liver injury (DILI) among cancer patients. The aim of the study was to evaluate the frequency of DILI due to cancer treatment in a population-based setting.

MATERIAL AND METHODS

All patients diagnosed with genitourinary cancer, breast cancer or metastatic malignant melanoma in 2007-2018 were matched with a database containing laboratory results for all major hospitals in Iceland. Medical chart review was performed for cases with ALT/AST ≥5× upper limit of normal (ULN), ALP ≥2× ULN or bilirubin ≥2× ULN. Patients with liver-, and/or bone metastases and isolated elevations of ALP and patients with other etiologies of liver enzyme elevations were excluded. Cases with a RUCAM score of probable or highly probable were included.

RESULTS

Among 4956 patients, 840 patients had liver enzyme elevations. Overall, nine (0.2%) cases of DILI were identified, seven women (78%), median age 59 years (IQR 52-66). Four patients had kidney cancer, four breast cancer and one metastatic prostate cancer. In eight cases, a single agent was implicated: Pazopanib (n = 3), axitinib, docetaxel, gemcitabine, letrozole and paclitaxel. In all cases, the treatment was interrupted or discontinued due to the liver injury. No patient developed jaundice or liver failure and no death was linked to DILI. Time to normalization of liver enzymes was 17 days (IQR 25-120).

CONCLUSION

DILI was found to be rare and no cases of severe liver injury occurred. However, approximately 90% of patients switched to another treatment which might have affected prognosis.

Ursolic acid restores sensitivity to gemcitabine through the RAGE/NF-κB/MDR1 axis in pancreatic cancer cells and in a mouse xenograft model

Gemcitabine (GEM) is a first-line drug for pancreatic cancer therapy, but GEM resistance is easily developed in patients. Growing evidence suggests that cancer chemoprevention and suppression are highly associated with dietary phytochemical and microbiota composition. Ursolic acid (UA) has anti-inflammatory and anticancer effects; however, its role in improving cancer drug resistance in vivo remains unclear. In this study, the aim was to explore the role of UA in managing drug resistance-associated molecular mechanisms and the influence of gut microbiota. The in vitro results showed that receptor for advanced glycation end products (RAGE), nuclear factor kappa B p65 (NF-κB/p65), and multidrug resistance protein 1 (MDR1) protein levels were significantly increased in GEM-resistant pancreatic cancer cells (named MIA PaCa-2 GEMR) compared to MIA PaCa-2 cells. Downregulation of RAGE, pP65, and MDR1 protein expression not only was observed following UA treatment but also was seen in MIA PaCa-2 GEMR cells after transfection with a RAGE siRNA. Remarkably, the enhanced effects of UA coupled with GEM administration dramatically suppressed the RAGE/NF-κB/MDR1 cascade and consequently inhibited subcutaneous tumor growth. Moreover, UA could increase alpha diversity and regulate the composition of gut microbiota, especially in Ruminiclostridium 6. Taken together, these results provide the first direct evidence of MDR1 attenuation and chemosensitivity enhancement through inhibition of the RAGE/NF-κB signaling pathway in vitro and in vivo, implying that UA may be used as an adjuvant for the treatment of pancreatic cancer in the future.

Effects of hepatitis B virus infection and antiviral therapy on the clinical prognosis of nasopharyngeal carcinoma

Purpose

To investigate the clinical characteristics of nasopharyngeal carcinoma (NPC) and a concomitant hepatitis B virus (HBV) infection, as well as the potential effects of HBV infection and antiviral therapy on prognosis.

Methods

We conducted a retrospective chart review of all NPC patients from December 2010 to December 2014. After collecting medical records and conducting follow‐ups on patients, a total of 876 eligible NPC patients were included. For each patient, medical records were reviewed. Factors predictive of outcome were compared using the log‐rank test and Cox regression analysis.

Results

Among the 876 participants, 106 (12.1%) patients were HBV‐infected patients. The hepatitis B surface antigen‐positive [HBsAg(+)] group had a lower CD⁴⁺ T cell count than the HBsAg(−) group (P = .048). Among patients with stage I/II NPC, 5‐year overall survival (OS), disease‐free survival (DFS), relapse‐free survival, and distant metastasis‐free survival (DMFS) of the HBsAg(+) group were 82.5%, 70.7%, 87.7%, and 76.6%, respectively, whereas those of the HBsAg(−) group were 91.4%, 86.0%, 93.8%, and 92.1%, respectively. Statistically significant differences in OS, DFS, and DMFS existed between both groups (P = .017, .018, and .004, respectively). The multivariate analysis indicated that HBsAg status and N stage are independent risk factors affecting OS, DFS, and DMFS of NPC patients. A statistically significant difference in 5‐year DMFS existed between the antivirus (90.0%) and no‐antivirus groups (70.0%) (P = .043).

Conclusions

Hepatitis B virus infection is an independent risk factor for early stage NPC, which may be associated with its reduced immune functions compared to the HBsAg(−) group. Anti‐HBV treatment may improve the prognosis of HBV‐infected NPC patients.

A simple method to identify undiagnosed drug-induced liver injury (DILI) and its application in oncology pharmacy practice

AIMS

To establish a simple method to identify chemotherapy-induced liver injury among oncological patients. To evaluate current clinical approach to elevated laboratory liver test results.

METHODS

A total of 289 patients admitted to oncology department who had systemic chemotherapy episodes for cancer treatment from 1 January 2017 to 31 December 2017 were identified. With aid of healthcare information system, Hy's law was applied to laboratory liver test results to identify potential hepatocellular drug-induced liver injury cases. Medical record review was carried out among identified patients to exclude liver dysfunction of alternative causes. Current clinical approach to elevated laboratory liver tests was evaluated through medical record review.

RESULTS

Of 289 patients who were treated by systemic chemotherapies, there were 123 patients with elevated laboratory liver tests, among which 8 patients were suspected as potential Hy's law cases. After medical record review, there were two patients determined with chemotherapy-associated liver injury, caused by 5-fluorouracil, leucovorin, irinotecan, and S-1 plus paclitaxel separately. Of eight potential Hy's law cases, seven (87.5%) patients were prescribed with ≥2 kinds of liver protectants and remained treated with traditional Chinese medicine for decoction.

CONCLUSIONS

A reliable and simple method to identify undiagnosed drug-induced liver injury was successfully established. An annual incidence of 0.69% of chemotherapy-associated liver injury in oncology department of the setting was found.