Successful apatinib treatment for advanced clear cell renal carcinoma as a first-line palliative treatment: A case report.

BACKGROUND: Apatinib is an orally bioavailable small-molecule receptor tyrosine kinase inhibitor. In December 2014, the China Food and Drug Administration made it the first anti-angiogenic therapy to be approved for treating metastatic gastric cancer. It was specifically designated as a third-line or later treatment for metastatic gastric cancer. CASE SUMMARY: Here, we present a case of advanced renal cell carcinoma (RCC) with multiple metastases (Stage IV) in a 48-year-old male with an extremely poor general status (Karnofsky 30%). He was initially given pazopanib as a targeted therapeutic. However, he experienced severe adverse reactions within two weeks, including grade IV oral mucositis. We, thus, tried switching his targeted treatment to an apatinib dose of 250 mg once daily since April 2018. The patient demonstrated striking benefits from this switch to the apatinib palliative treatment. Nearly one month later, his pain and other associated symptoms were alleviated. The patient was able to move freely and had an excellent general status (Karnofsky 90%). His progress has been followed up with regularly, allowing for a documented progression-free survival interval of approximately 32 mo. CONCLUSION: This case suggests that, like other multi-target drugs, apatinib may be a useful first-line therapeutic drug for advanced RCC. It may be a particularly helpful curative option when patients are found to be intolerant of other targeted drugs.

S-1-Based versus capecitabine-based preoperative chemoradiotherapy in the treatment of locally advanced rectal cancer: a matched-pair analysis.

OBJECTIVE: The aim of this paper was to compare the efficacy and safety of S-1-based and capecitabine-based preoperative chemoradiotherapy regimens in patients with locally advanced rectal cancer through a retrospective matched-pair analysis. MATERIALS AND METHODS: Between Jan 2010 and Mar 2014, 24 patients with locally advanced rectal cancer who received preoperative radiotherapy concurrently with S-1 were individually matched with 24 contemporary patients with locally advanced rectal cancer who received preoperative radiotherapy concurrently with capecitabine according to clinical stage (as determined by pelvic magnetic resonance imaging and computed tomography) and age (within five years). All these patients performed mesorectal excision 4-8 weeks after the completion of chemoradiotherapy. RESULTS: The tumor volume reduction rates were 55.9±15.1% in the S-1 group and 53.8±16.0% in the capecitabine group (p = 0.619). The overall downstaging, including both T downstaging and N downstaging, occurred in 83.3% of the S-1 group and 70.8% of the capecitabine group (p = 0.508). The significant tumor regression, including regression grade I and II, occurred in 33.3% of S-1 patients and 25.0% of capecitabine patients (p = 0.754). In the two groups, Grade 4 adverse events were not observed and Grade 3 consisted of only two cases of diarrhea, and no patient suffered hematologic adverse event of Grade 2 or higher. However, the incidence of diarrhea (62.5% vs 33.3%, p = 0.014) and hand-foot syndrome (29.2% vs 0%, p = 0.016) were higher in capecitabine group. Other adverse events did not differ significantly between two groups. CONCLUSIONS: The two preoperative chemoradiotherapy regimens were effective and safe for patients of locally advanced rectal cancer, but regimen with S-1 exhibited a lower incidence of adverse events.

A model to discriminate malignant from benign thyroid nodules using artificial neural network.

OBJECTIVE: This study aimed to construct a model for using in differentiating benign and malignant nodules with the artificial neural network and to increase the objective diagnostic accuracy of US. MATERIALS AND METHODS: 618 consecutive patients (528 women, 161 men) with 689 thyroid nodules (425 malignant and 264 benign nodules) were enrolled in the present study. The presence and absence of each sonographic feature was assessed for each nodule - shape, margin, echogenicity, internal composition, presence of calcifications, peripheral halo and vascularity on color Doppler. The variables meet the following criteria: important sonographic features and statistically significant difference were selected as the input layer to build the ANN for predicting the malignancy of nodules. RESULTS: Six sonographic features including shape (Taller than wide, p<0.001), margin (Not Well-circumscribed, p<0.001), echogenicity (Hypoechogenicity, p<0.001), internal composition (Solid, p<0.001), presence of calcifications (Microcalcification, p<0.001) and peripheral halo (Absent, p<0.001) were significantly associated with malignant nodules. A three-layer 6-8-1 feed-forward ANN model was built. In the training cohort, the accuracy of the ANN in predicting malignancy of thyroid nodules was 82.3% (AURO  = 0.818), the sensitivity and specificity was 84.5% and 79.1%, respectively. In the validation cohort, the accuracy, sensitivity and specificity was 83.1%, 83.8% and 81.8%, respectively. The AUROC was 0.828. CONCLUSION: ANN constructed by sonographic features can discriminate benign and malignant thyroid nodules with high diagnostic accuracy.