Anlotinib-mediated angiogenic remodeling was delineated in various tumors. Meanwhile, we previously showed that anlotinib inhibited tumor angiogenesis in anaplastic thyroid cancer (ATC). However, the potential role of anlotinib on cell lethality in ATC remains an enigma. Herein, we found that anlotinib inhibited the viability, proliferation, and migration of KHM-5M, C643, and 8505C cells in a dose-dependently manner. Under anlotinib treatment, PANoptosis (pyroptosis, apoptosis, and necroptosis) markers were not changed; however, ferroptosis targets (transferrin, HO-1, FTH1, FTL, and GPX4) were significantly downregulated. ROS levels also increased in a concentration-dependent manner after anlotinib treatment in KHM-5M, C643, and 8505C cells. In addition, protective autophagy was activated in response to anlotinib, and autophagic blockade potentiated anlotinib-mediated ferroptosis and antitumor effects in vitro and in vivo. Our new discovery identified autophagy-ferroptosis signaling pathway which provides mechanistic insight into anlotinib-mediated cell death, and synergistic combination therapy may help develop new ATC treatment strategies.

Background: Currently, follicular thyroid carcinoma (FTC) has a relatively low incidence with a lack of effective preoperative diagnostic means. To reduce the need for invasive diagnostic procedures and to address information deficiencies inherent in a small dataset, we utilized interpretable foreground optimization network deep learning to develop a reliable preoperative FTC detection system. Methods: In this study, a deep learning model (FThyNet) was established using preoperative ultrasound images. Data on patients in the training and internal validation cohort (n=432) were obtained from Ruijin Hospital, China. Data on patients in the external validation cohort (n=71) were obtained from four other clinical centers. We evaluated the predictive performance of FThyNet and its ability to generalize across multiple external centers and compared the results yielded with assessments from physicians directly predicting FTC outcomes. In addition, the influence of texture information around the nodule edge on the prediction results was evaluated. Results: FThyNet had a consistently high accuracy in predicting FTC with an area under the receiver operating characteristic curve (AUC) of 89.0% [95% CI 87.0–90.9]. Particularly, the AUC for grossly invasive FTC reached 90.3%, which was significantly higher than that of the radiologists (56.1% [95% CI 51.8–60.3]). The parametric visualization study found that those nodules with blurred edges and relatively distorted surrounding textures were more likely to have FTC. Furthermore, edge texture information played an important role in FTC prediction with an AUC of 68.3% [95% CI 61.5–75.5], and highly invasive malignancies had the highest texture complexity. Conclusion: FThyNet could effectively predict FTC, provide explanations consistent with pathological knowledge, and improve clinical understanding of the disease.

For N1b papillary thyroid carcinoma (PTC) patients, lateral neck dissection encompassing levels Ⅱ-Ⅴ is generally recommended. However, routine level Ⅱ dissection is controversial given the low incidence of metastasis, and potential complications such as increased shoulder syndrome. Retrospective analysis of consecutive patients with papillary thyroid carcinoma who underwent lateral neck dissection at a single institution from January 2019 to April 2021 was performed. Clinicopathological features such as age, gender, tumor location, tumor size, TgAb and TPOAb levels, capsular invasion, multifocality and lymph node metastases were examined to evaluate the occurrence of metastatic Level Ⅱ lymph nodes. Overall and occult level Ⅱ metastases were observed in 51.83% and 34.84% of cN1b PTC patients. Multivariant analysis showed that primary tumor, location of primary tumor and positive level Ⅴ can serve as independent risk factors of metastasis in level Ⅱ. For cN1b PTC patients not suspected of level Ⅱ lymph nodes preoperatively, independent risk factors for predicting occult level Ⅱ metastases may include the location of primary tumor, positive level Ⅲ and positive level Ⅴ. A significant number of patients with PTC and lateral neck disease experienced Level Ⅱ metastasis, with the location of primary tumor and multilevel lymph node involvement being the independent risk factors. If the tumor is less than 1 cm and located at lower 2/3 lobe, there is minimal possibility of level Ⅱ lymph node metastasis.

To explore the quantitative measurements and evaluation of intra-peritoneal fat distribution by MDCT and its significance in predicting intra-operative bleeding volume during D2 lymphadenectomy in gastric cancer (GC) patients. From June 2016 to September 2017, GC patients scheduled for open gastrectomy with D2 lymph-node dissection were enrolled. According to the BMI, the subjects were then classified as normal BMI(BMI<25 kg/m2); overweight (BMI = 25-30 kg/m2) and obese (BMI≥30 kg/m2). According to the intraoperative blood loss (IBL), the patients were further separated into high IBL (IBL; ≥ 300 ml) or low IBL (<300 ml). Clinicopathological parameters between the groups were statistically compared and univariate and multivariate analysis were used to identify predictive factors such as intra-peritoneal fat areas (IFA) and intra-peritoneal fat areas ratio (IFAR) for high IBL. A total of 226 patients were included in the study where 53 patients underwent distal while 173 underwent total gastrectomy. According to the BMI classification, there were 25 normal BMI, 108 overweight and 25 obese subjects. According to the IBL, there were 98 high IBL and 128 low IBL subjects. IFA and IFAR were significantly greater in the high IBL group than in the low IBL group. There was no significant difference in any other clinicopathological factors between the high IBL group and the low IBL group. Multivariate analysis revealed that high IFA and IFAR independently predicted high IBL. The use of MDCT to evaluate the precise distribution of abdominal fat during preoperative examination can prompt surgeons to develop techniques to decrease intraoperative bleeding in obese patients. Nevertheless, it is yet necessary to be surgically more meticulous when dealing with patients with high IFA or high IFA/IFAR in order to improve the outcome of D2 gastrectomy.

Papillary thyroid carcinoma (PTC) and papillary thyroid microcarcinoma (PTMC) are generally characterized as less invasive forms of thyroid cancer with favorable prognosis. However, once lateral cervical lymph node metastasis takes place, the prognosis may be significantly impacted. The purpose of this study was to evaluate whether there is a difference in the pattern of lateral lymph node metastasis between PTC and PTMC. A retrospective analysis was performed for PTC and PTMC patients that underwent central area dissection and unilateral lateral neck lymph node dissection (II–V area) between January 2020 and December 2021. Compared with PTMC group, the PTC group exhibited higher incidence of capsule invasion, extrathyroid invasion and lymphatic vessel invasion. Both the number and rate of central lymph nodes metastasis were elevated in the PTC group. While the number of lateral cervical lymph node metastasis was higher, the metastasis rate did not demonstrate significant difference. No significant differences were identified in the lymph node metastasis patterns between the 2 groups. The determination of the extent of lateral neck lymph node dissection solely based on the tumor size may be unreliable, as PTC and PTMC showed no difference in the number and pattern of lateral neck metastasis. Additional clinical data are warranted to reinforce this conclusion. For patients categorized as unilateral, bilateral, or contralateral cervical lymph node metastasis (including level I, II, III, IV, or V) or retropharyngeal lymph node metastasis who require unilateral lateral neck dissection, the size of the primary tumor may not need to be a central consideration when assessing and deciding the extent of lateral neck dissection.