Our finding indicated that biannual screening reduced HCC mortality by 37%.
BACKGROUND Recently, the implementation of screening programs using α‐fetoprotein (AFP) and ultrasonography in high risk populations has identified increasing numbers of patients with small hepatocellular carcinoma (small HCC). The aim of this study was to summarize the authors' experience in patients who underwent hepatectomy for small HCC and the factors that influence or improve long term survival. METHODS The study included 1000 patients who underwent hepatectomy for small HCC (≤ 5 cm) and compared them with 1366 patients who underwent hepatectomy for large HCC (> 5 cm) during the same period. A Cox proportional‐hazards model was used for multivariate analysis of prognostic factors. RESULTS Comparison between patients with small HCC (n = 1000 patients) and patients with large HCC (n = 1366 patients) revealed that those with small HCC had a higher resection rate (93.6% [1000 of 1068 patients] vs. 55.7% [1366 of 2451 patients]; P < 0.01), a higher curative resection rate (80.5% [805 of 1000 patients] vs. 60.7% [829 of 1366 patients]; P < 0.01), a lower operative mortality rate (1.5% [15 of 1000 patients] vs. 3.7% [50 of 1366 patients]; P < 0.01), better differentiation of tumor cells (Edmondson Grade 3–4; 14.9% vs. 20.1%; P < 0.01), a higher incidence of single nodule tumors (82.6% vs. 64.4%; P < 0.01), a higher proportion of well encapsulated tumors (73.3% vs. 46.3%; P < 0.01), a lower incidence of tumor emboli in the portal vein (4.9% vs. 20.8%; P < 0.01), and higher survival rates after undergoing resection (5 years: 62.7% vs. 37.1%; P < 0.01; 10 years: 46.3% vs. 29.2%; P < 0.01). No significant difference was found between survival after undergoing minor resection (n = 949 patients) or lobectomy (n = 51 patients) in patients with small HCC (P > 0.05). Reresection for subclinical recurrence or solitary pulmonary metastasis after small HCC resection was undertaken in 84 patients. CONCLUSIONS Resection is still the modality of first choice for the treatment of patients with small HCC. Minor resection instead of lobectomy was the key to increasing resectability and decreasing operative mortality, and reresection for subclinical recurrence or solitary pulmonary metastasis was important approach to prolonging survival further. Cancer 2001;91:1479–86. © 2001 American Cancer Society.
Objective-To assess the validity and cost of a screening test for primary liver cancer using combined serum fetoprotein testing and ultrasonography. Setting-An urban community in Shanghai, China. Methods-9373 subjects aged 35 to 59 with positive hepatitis B surface antigen (HBsAg) or chronic hepatitis were studied. Outcome measures were detection rate, false positive rate, and positive predictive value, the cost for each primary liver cancer detected, and the average cost of detecting each additional primary liver cancer by the combined method. The number of small primary liver cancers detected was used for the economic evaluation. Results-20 294 screening examinations were carried out. Primary liver cancer was detected in 51 subjects, 36 of whom had small primary liver cancer. When fetoprotein and ultrasonography were used in parallel the detection rate, false positive rate, and positive predictive value were 92%, 7.5%, and 3.0%, respectively; the cost for each primary liver cancer detected was 30 206 RMB (Chinese currency, $3639). When ultrasonography was used alone the detection rate, false positive rate, and positive predictive value were 84%, 2.9%, and 6.6%, respectively; the cost for each primary liver cancer detected was 16 451 RMB ($1982). When the fetoprotein test was used alone the detection rate, false positive rate, and positive predictive value were 69%, 5.0%, and 3.3%, respectively; the cost for each primary liver cancer detected was 25 139 RMB ($3029). Conclusion-The combination of both screening methods results in a relatively small increase in detection but a considerably higher false positive rate, increasing the costs. The combined test may be the best choice for primary liver cancer screening in developed areas of China, but otherwise, ultrasonography alone is the method of choice. (J Med Screen 1999;6:108-110)
A long-term follow-up study of 144 cases with surgically and pathologically proved small hepatocellular carcinoma (less than or equal to 5 cm) from 1967 to 1987 is reported. One hundred eight cases (75.0%) were detected by alpha-fetoprotein serosurvey and/or ultrasonography mainly in a high-risk population; 129 cases (89.6%) coexisted with cirrhosis. Resection was done in 132 cases (91.7%) with three (2.3%) operative deaths; cryosurgery, laser vaporization, and hepatic arterial chemotherapy were used in the rest. Limited resection was done in 67.4% of resections. Reresection of subclinical recurrence or solitary pulmonary metastasis was done in 21 cases. The 5-year and 10-year survival rates were 67.9% and 53.4% in the resection group but zero in the nonresection group. Survival was correlated negatively with tumor size, 5-year survival after resection was 84.6% in tumors less than or equal to 2 cm but 59.5% in tumors of 4.1 to 5 cm. The increase of resectability and reresection resulted in marked improved of 5-year survival from 43.5% in 1973 to 1977 to 63.3% in 1978 to 1982 in the entire series. No significant difference was found between survival of limited resection and lobectomy. Resection may be the modality of choice for treatment of small hepatocellular carcinomas with compensated liver function. Limited resection instead of lobectomy was the key to increased resectability and decreased operative mortality in cirrhotic livers. Reresection of subclinical recurrence was important to prolong survival further.
We assessed the MSKCC nomogram performance in predicting SLN metastases in a Chinese breast cancer population. A new model (the SCH nomogram) was developed with clinically relevant variables and possible advantages. Data were collected from 1,545 patients who had a successful SLN biopsy between March 2005 and November 2011. We validated the MSKCC nomogram in the modeling and validation group. Clinical and pathologic features of SLN biopsy in modeling group of 1,000 patients were assessed with multivariable logistic regression to predict the presence of SLN metastasis in breast cancer. The SCH nomogram was created from the logistic regression model and subsequently applied to 545 consecutive SLN biopsies. By multivariate analysis, age, tumor size, tumor location, tumor type, and lymphovascular invasion were identified as independent predictors of SLN metastasis. The SCH nomogram was then developed using the five variables. The new model was accurate and discriminating (with an AUC of 0.7649 in the modeling group) compared to the MSKCC nomogram (with an AUC of 0.7105 in the modeling group). The area under the ROC curve for the SCH nomogram in the validation population is 0.7587. The actual probability trends for the various deciles were comparable to the predicted probabilities. The false-negative rates of the SCH nomogram were 1.67, 3.54, and 8.20 % for the predicted probability cut-off points of 5, 10, and 15 %, respectively. Compared with the MSKCC nomogram, the SCH nomogram has a better AUC with fewer variables and has lower false-negative rates for the low-probability subgroups. The SCH nomogram could serve as a more acceptable clinical tool in preoperative discussions with patients, especially very-low-risk patients. When applied to these patients, the SCH nomogram could be used to safely avoid a SLN procedure. The nomogram should be validated in various patient populations to demonstrate its reproducibility.
Tumor-infiltrating lymphocytes (TIL) and immunity gene signatures have been reported to be significantly prognostic in breast cancer but have not yet been applied for calculation of risk of recurrence in clinical assays. A compact set of 17 immunity genes was derived herein from an Affymetrix-derived gene expression dataset including 1951 patients (AFFY1951). The 17 immunity genes demonstrated significant prognostic stratification of estrogen receptor (ER)-negative breast cancer patients with high proliferation gene expression. Further analysis of blood and breast cancer single-cell RNA-seq datasets revealed that the 17 immunity genes were derived from TIL that were inactive in the blood and became active in tumor tissue. Expression of the 17 immunity genes was significantly (p < 2.2E-16, n = 91) correlated with TILs percentage on H&E in triple negative breast cancer. To demonstrate the impact of tumor immunity genes on prognosis, we built a Cox model to incorporate breast cancer subtypes, proliferation score and immunity score (72 gene panel) with significant prediction of outcomes (p < 0.0001, n = 1951). The 72 gene panel and its risk evaluation model were validated in two other published gene expression datasets including Illumina beads array data METABRIC (p < 0.0001, n = 1997) and whole transcriptomic mRNA-seq data TCGA (p = 0.00019, n = 996) and in our own targeted RNA-seq data TARGETSEQ (p < 0.0001, n = 303). Further examination of the 72 gene panel in single cell RNA-seq of tumors demonstrated tumor heterogeneity with more than two subtypes observed in each tumor. In conclusion, immunity gene expression was an important parameter for prognosis and should be incorporated into current multi-gene assays to improve assessment of risk of distant metastasis in breast cancer.
In the present study, we identified a number of gene categories pertinent to the therapeutic response. We believe that the PPAR pathway may be an important predictor of genes that are involved in the chemotherapy response.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.