Intracranial Metastasis in a Patient with Hepatocellular Carcinoma and Gastric Cancer

Tawada, Akinobu; Chiba, Tadatoshi; Ooka, Yoshihiko; Yokota, Hajime; Kanogawa, Naoya; Motoyama, Tenyu; Ogasawara, Sadahisa; Suzuki, Eiichiro; Hanari, Naoyuki; Matsubara, Hisahiro; Saeki, Naokatsu; Kambe, Michiyo; Kishimoto, Takashi; Nakatani, Yukio; Yokosuka, Osamu

doi:10.1159/000360982

Cited by 5 publications

(2 citation statements)

References 13 publications

(15 reference statements)

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“…Suffering hepatocellular carcinoma brain metastases (HCCBM) dramatically worsen patients’ prognosis. The clinical course of these patients remains unclear [3], with a median survival that has been described as between 1 months to 1.7 months [4, 5]. Therefore, Brain metastases represent an important cause of morbidity and mortality [4].…”

Section: Introductionmentioning

confidence: 99%

Predictive value of a nomogram for hepatocellular carcinoma with brain metastasis at initial diagnosis: A population-based study

Chen¹,

Huang²,

Shen³

et al. 2019

PLoS ONE

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BackgroundPopulation-based estimates of the incidence and prognosis of brain metastases at diagnosis of hepatocellular carcinoma (HCC) are lacking. The aim of this study was to characterize the incidence proportion and survival of newly diagnosed hepatocellular carcinoma with brain metastases (HCCBM).Materials and methodsData from Surveillance, Epidemiology, and End Results (SEER) program between 2010 and 2014 was evaluated. Patients with HCCBM were included. Multivariable logistic and Cox regression were performed to identify predictors of the presence of brain metastases at diagnosis and prognostic factors of overall survival (OS). We also built a nomogram based on Cox model to predict prognosis for HCCBM patients.ResultsWe identified 97 patients with brain metastases at the time of diagnosis of HCC, representing 0.33% of the entire cohort. Logistic regression showed patients with bone or lung metastases had greater odds of having brain metastases at diagnosis. Median OS for HCCBM was 2.40 months. Cox regression revealed unmarried and bone metastases patients suffered significantly shorter survival time. A nomogram was developed with internal validation concordance index of 0.639.ConclusionsThis study provided population-based estimates of the incidence and prognosis for HCCBM patients. The nomogram could be a convenient individualized predictive tool for prognosis.

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Section: Introductionmentioning

confidence: 99%

Predictive value of a nomogram for hepatocellular carcinoma with brain metastasis at initial diagnosis: A population-based study

Chen¹,

Huang²,

Shen³

et al. 2019

PLoS ONE

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“…The results of the top five most similar HJS distances for the 4-node case are shown in the bottom half of Table 8. Many works reported that, (i) both gastric cancer and hepatocellular carcinoma (HCC) can co-exist in the same patient 60-61 , (ii) optimal surgical strategies have been developed for treating synchronous gastric cancer and HCC [62][63] and (iii) it is necessary to closely follow up patients with gastric cancer or HCC for early diagnosis 64 .…”

Section: Network Similarity -Jensen-shannon Entropymentioning

confidence: 99%

Computational analysis of molecular networks using spectral graph theory, complexity measures and information theory

Huang

Tsai

Kurubanjerdjit

et al. 2019

Preprint

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Molecular networks are described in terms of directed multigraphs, so-called network motifs. Spectral graph theory, reciprocal link and complexity measures were utilized to quantify network motifs. It was found that graph energy, reciprocal link and cyclomatic complexity can optimally specify network motifs with some degree of degeneracy. Biological networks are built up from a finite number of motif patterns; hence, a graph energy cutoff exists and the Shannon entropy of the motif frequency distribution is not maximal. Also, frequently found motifs are irreducible graphs.Network similarity was quantified by gauging their motif frequency distribution functions using Jensen-Shannon entropy. This method allows us to determine the distance between two networks regardless of their nodes' identities and network sizes.This study provides a systematic approach to dissect the complex nature of biological networks. Our novel method different from any other approach. The findings support the view that there are organizational principles underlying molecular networks. Biological networks and network motifsMolecular biological networks are the basis of biological processes, where the networks exhibit biological functions through interaction among the genetic elements.Each module is expected to perform specific functions, separable from the functions of other modules 1-3 . Such modular networks can be decomposed into smaller clusters, also known as network motifs. These motifs show interesting dynamical behaviors, in which cooperativity effects between the motif components play a critical role in human diseases.Essentially, network-based analysis falls into the following major categories: (1) motif identification and analysis, (2) global architecture study, (3) local topological properties, and (4) robustness of the network under different types of perturbations.For the first category, there are a number of publicly available network motif detection tools, namely MFINDER 4 , MAVISTO 5 , FANMOD 6 , NetMatch 7 and SNAVI 8 .

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Sorafenib

2015

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Sorafenib Hand-foot skin reaction in an elderly patient: case reportA 76-year-old man developed a hand-foot skin reaction while receiving sorafenib. The man had a history of hepatocellular carcinoma (HCC), chronic hepatitis C virus infection and gastric cancer. He started receiving sorafenib 800 mg/day for lung metastatic tumours [route not stated]. He experienced a hand-foot skin reaction [time to reaction onset not stated]. His sorafenib dose was reduced to 200 mg/day. He was subsequently diagnosed with intracranial metastasis of gastric cancer. Following successful tumour removal, sorafenib was discontinued [ADR outcome not stated]. Author comment: "Subsequently, sorafenib was administered. Because of adverse events such as a hand-foot skin reaction, the dose of sorafenib was reduced from 800 to 200 mg/day." Tawada A, et al. Intracranial metastasis in a patient with hepatocellular carcinoma and gastric cancer.

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Intracranial Metastasis in a Patient with Hepatocellular Carcinoma and Gastric Cancer

Cited by 5 publications

References 13 publications

Predictive value of a nomogram for hepatocellular carcinoma with brain metastasis at initial diagnosis: A population-based study

Predictive value of a nomogram for hepatocellular carcinoma with brain metastasis at initial diagnosis: A population-based study

Computational analysis of molecular networks using spectral graph theory, complexity measures and information theory

Sorafenib

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