Curley, Steven A.

PURPOSE: The current American Joint Committee on Cancer (AJCC) staging system for hepatocellular carcinoma (HCC) fails to stratify patients adequately with respect to prognosis. PATIENTS AND METHODS: The ability of the currently proposed tumor (T) categories to effectively stratify the survival of 557 patients who underwent complete resection for HCC at four centers was examined. Independent predictors of survival were combined into a new staging system. RESULTS: Using the current AJCC T classification, patients with T1 and T2 tumors had similar 5-year survivals (P = .6). In addition, the survival of patients with multiple bilobar tumors (T4) matched that of T3 patients (P = .5). Independent predictors of death were major vascular invasion (P < .001), microvascular invasion (P = .001), severe fibrosis/cirrhosis of the host liver (P = .001), multiple tumors (P = .007), and tumor size greater than 5 cm (P = .01). Based on our results, a simplified stratification is proposed: (a) patients with a single tumor and no microvascular invasion, (b) patients with a single tumor and microvascular invasion or multiple tumors, none more than 5 cm, and (c) patients with either multiple tumors, any more than 5 cm, or tumor with major vascular invasion (P < .001). Severe fibrosis/cirrhosis had a negative impact on survival within all categories. The survival of patients with lymph node involvement matched that of patients with major vascular invasion (P = .3). CONCLUSION: The current AJCC staging system for HCC is unnecessarily complex. We propose a simplified model of stratification that is based on vascular invasion, tumor number, and tumor size and incorporates the effect of fibrosis on survival.

Hepatocelluar carcinoma (HCC) is the most common primary malignancy of the liver in adults and the third most common cause of cancer death worldwide. The incidence of HCC in the United States is rising steadily because of the prevalence of hepatitis C viral infection and other causes of hepatic cirrhosis. The majority of patients have underlying hepatic dysfunction, which complicates patient management and the search for safe and effective therapies. The Clinical Trials Planning Meeting (CTPM) in HCC was convened by the National Cancer Institute's Gastrointestinal Cancer Steering Committee to identify the key knowledge gaps in HCC and define clinical research priorities. The CTPM structured its review according to current evidence-based treatment modalities in HCC and prioritized the recommendations on the basis of the patient populations representing the greatest unmet medical need.

Treatment with monoclonal antibody (mAbs) is a viable therapeutic option in cancer. Recently, these mAbs such as cetuximab, herceptin, etc., have been used as targeting agents to selectively deliver chemotherapeutics to cancerous cells. However, mechanisms of nanoparticles-mAbs interactions with the target cells and its effect on intracellular trafficking and mechanism are currently unknown. In this paper, we demonstrate that the distinct patterning and dynamics of anti-EGFR (epidermal growth factor receptor) antibody cetuximab (C225)- induced EGFR internalization in pancreatic cancer cells with variable receptor expression is altered upon nanoconjugation. Nanoconjugation uniformly enhanced C225-induced EGFR endocytosis in PANC-1, AsPC-1, and MiaPaca-2 cells, influenced its compartmentalization and regulated the involvement of dynamin-2 in the endocytic processes. Receptor endocytosis and its intracellular trafficking were monitored by confocal microscopy and transmission electron microscopy. The role of dynamin-2 in EGFR endocytosis was determined after overexpressing either wild-type dynamin-2 or mutant dynamin-2 in pancreatic cancer cells followed by tracking the receptor-antibody complex internalization by confocal microscopy. Significantly, these findings demonstrate that the nanoconjugation cannot be construed as an innocuous reaction involved in attaching the targeting agent to the nanoparticle, instead it may distinctly alter the cellular processes at the molecular level, at least antibody induced receptor endocytosis. This information is critical for successful design of a nanoparticle-based targeted drug delivery system for future clinical translation.

Purpose Most patients with colorectal liver metastases present to general surgeons and oncologists without a specialist interest in their management. Since treatment strategy is frequently dependent on the response to earlier treatments, our aim was to create a therapeutic decision model identifying appropriate procedure sequences. Methods We used the RAND Corporation/University of California, Los Angeles Appropriateness Method (RAM) assessing strategies of resection, local ablation and chemotherapy. After a comprehensive literature review, an expert panel rated appropriateness of each treatment option for a total of 1,872 ratings decisions in 252 cases. A decision model was constructed, consensus measured and results validated using 48 virtual cases, and 34 real cases with known outcomes. Results Consensus was achieved with overall agreement rates of 93.4 to 99.1%. Absolute resection contraindications included unresectable extrahepatic disease, more than 70% liver involvement, liver failure, and being surgically unfit. Factors not influencing treatment strategy were age, primary tumor stage, timing of metastases detection, past blood transfusion, liver resection type, pre-resection carcinoembryonic antigen (CEA), and previous hepatectomy. Immediate resection was appropriate with adequate radiologically-defined resection margins and no portal adenopathy; other factors included presence of ≤ 4 or > 4 metastases and unilobar or bilobar involvement. Resection was appropriate postchemotherapy, independent of tumor response in the case of ≤ 4 metastases and unilobar liver involvement. Resection was appropriate only for > 4 metastases or bilobar liver involvement, after tumor shrinkage with chemotherapy. When possible, resection was preferred to local ablation. Conclusion The results were incorporated into a decision matrix, creating a computer program (OncoSurge). This model identifies individual patient resectability, recommending optimal treatment strategies. It may also be used for medical education.

Abstract The Editors welcome topical correspondence from readers relating to articles published in the Journal. Responses can be sent electronically via the BJS website (www.bjs.co.uk) or by post. All letters will be reviewed and, if approved, appear on the website. A selection of these will be edited and published in the Journal. Letters must be no more than 250 words in length. Letters submitted by post should be typed on A4-sized paper in double spacing and should be accompanied by a disk.