Case report: Acute pancreatitis in lung adenocarcinoma with small cell transformation after multiple line targeted therapy.

In lung cancer, metastasis to the liver, bones, brain, and adrenal glands is more commonly observed, whereas pancreatic metastasis from lung cancer is relatively rare. We present a case of a patient with an 8-year history of lung adenocarcinoma (LUAD) who was admitted to our institution exhibiting symptoms consistent with acute pancreatitis. Subsequent histopathological examination through puncture confirmed the occurrence of pancreatic metastasis originating from small cell lung cancer (SCLC). During a multidisciplinary team discussion, we reached a consensus in diagnosing the patient with post-transformation small cell carcinoma alongside moderately severe pancreatitis, which was determined to be a consequence of pancreatic metastasis. The patient received a regimen of etoposide and cisplatin chemotherapy. This unique clinical case highlights the importance of further investigating the factors contributing to pancreatic metastasis in patients with lung cancer, as the underlying mechanisms remain unclear. Understanding these exceptional metastatic events is vital in devising effective therapeutic strategies and improving patient prognosis. Our findings emphasize the need for continued surveillance and comprehensive management of lung cancer patients, particularly those with resistant forms of the disease, to promptly identify and address the progression of metastatic events to uncommon sites such as the pancreas.

A practical nomogram included hyperlipidemia for predicting lymph node metastasis in patients with superficial esophageal squamous cell carcinoma.

To select an optimal treatment, it is crucial to evaluate the risk of lymph node metastasis (LNM) in patients with superficial esophageal squamous cell carcinoma (SESCC). The research aimed to explore more risk factors than before and construct a practical nomogram to predict LNM in patients with SESCC. We retrospectively reviewed 1080 patients diagnosed with esophageal cancer who underwent esophagectomy with lymphadenectomy between January 2013 and October 2021 at the Affiliated Hospital of Qingdao University. The clinical parameters, endoscopic features, and pathological characteristics of the 123 patients that were finally enrolled in this study were collected. The independent risk factors for LNM were determined using univariate and multivariate analyses. Using these factors, a nomogram was constructed to predict LNM. LNM was observed in 21 patients. Univariate analysis showed that the absence or presence of hypertriglyceridemia, tumor location, lesion size, macroscopic type, invasion depth, differentiation, absence or presence of lymphovascular invasion (LVI), and perineural invasion were significantly associated with LNM. According to the multivariate analysis, hypertriglyceridemia, tumors located in the lower thoracic esophagus, lesion size > 20 mm, submucosal invasion, and LVI were independent risk factors for LNM. A nomogram was established using these 5 factors. It showed good calibration and discrimination. Hypertriglyceridemia, tumors located in the lower thoracic esophagus, lesion size > 20 mm, submucosal invasion, and LVI were independent risk factors for LNM. A nomogram was constructed using these 5 factors. This model can help clinicians assess the risk of LNM in patients with SESCC for optimal treatment selection.

Risk of Lymph Node Metastasis and Feasibility of Endoscopic Treatment in Ulcerative Early Gastric Cancer.

BACKGROUND: When the risk of lymph node metastasis (LNM) is considered minimal in patients with early gastric cancer (EGC), endoscopic submucosal dissection (ESD) is an effective alternative to radical resection. This study aims to estimate the feasibility of ESD for EGC with ulceration. PATIENTS AND METHODS: We retrospectively reviewed data from 691 patients who underwent gastrectomy for EGC with ulceration. Subsequently, a stratification system for lesions was created based on the expanded ESD criteria, and the associations between the subgroups and the rate of LNM were analyzed. RESULTS: LNM was confirmed in 16.5% (114/691) of patients. Univariate analysis demonstrated that age, sex, tumor size, macroscopic features, depth of invasion, tumor differentiation, Lauren type, lymphovascular invasion (LVI), and perineural invasion were associated with LNM. Multivariate analysis showed that LVI [odds ratio (OR) = 16.761, P < 0.001], SM1 invasion (OR = 2.159, P = 0.028), and SM2 invasion (OR = 3.230, P < 0.001) were independent risk factors for LNM. LNM occurred in undifferentiated mucosal tumors, with ulceration being 1.7% (2/116) when the lesion was smaller than 20 mm. Further stratification revealed that among lesions < 30 mm in size, undifferentiated tumors with SM1 invasion had a higher rate of LNM and a lower disease-free survival rate than differentiated tumors with SM1 invasion and tumors limited to the mucosal layer. CONCLUSIONS: Depth of invasion and LVI were strongly associated with LNM in ulcerative EGC. Endoscopic resection may be applicable for undifferentiated mucosal ulcerative EGC < 30 mm in size, and additional investigation is needed to evaluate its safety.

Predictors of Lymph Node Metastasis and Differences Between Pure and Mixed Histologic Types of Early Gastric Signet-ring Cell Carcinomas.

The aim of this study was to investigate predictors of lymph node metastasis (LNM) in early gastric signet-ring cell carcinoma (SRCC) and determine clinicopathologic and prognostic differences of different histologic subtypes. We retrospectively analyzed 13,661 gastric cancer patients; 231 were eligible for inclusion. Data for clinical, endoscopic, and histopathologic characteristics and prognoses were collected. Patients were followed up regarding postresection survival; overall and disease-specific survival rates were estimated by the Kaplan-Meier method with a log-rank test, and prognostic factors were evaluated by Cox regression. LNM incidence in early SRCC was 16.0% (37/231) overall: 6.9% (8/116) and 25.2% (29/115) in patients with pure and mixed SRCC, respectively. Univariate and multivariate analyses revealed SM2 invasion (odds ratio [OR]=5.070, P=0.003), lymphovascular invasion (LVI) (OR=14.876, P<0.001), pathologic pattern of mixed SRCC (OR=3.226, P=0.026), ulcer presence (OR=3.340, P=0.019) and lesion size over 20 mm (OR=2.823, P=0.015) as independent risk factors for LNM. Compared with pure SRCC, the mixed subtype was associated with older age, larger lesion size, higher LVI frequency, more frequent perineural invasion, and most importantly, higher LNM incidence. Patients with pure SRCC showed significantly longer overall survival (P=0.004) and disease-specific survival (P=0.002) than mixed SRCC patients. Pathologic subtype (hazard ratio [HR]=3.682; P=0.047), age (HR=5.246; P=0.001), SM1 invasion (HR=6.192; P=0.023), SM2 invasion (HR=7.529; P=0.021) and LNM (HR=5.352; P<0.001) were independent prognostic factors. Independent risk factors for LNM in early gastric SRCC were SM2 invasion, LVI, pathologic pattern, ulcer presence and lesion size over 20 mm. Early SRCC should be further classified by the purity of the SRC component.

Chemical sensor based on microfabricated wristwatch tuning forks.

We report here a chemical sensor based on detecting the mechanical response of a thin (approximately 10-microm) polymer wire stretched across the two prongs of a wristwatch quartz tuning fork (QTF). When the fork is set to oscillate, the wire is stretched and compressed by the two prongs. The stretching/compression force changes upon adsorption of analyte molecules onto/into the polymer wire, which is detected by the QTF with pico-Newton force sensitivity. An array of such sensors with different polymer wires is used for simultaneous detection of several analytes and for improvement of pattern recognition. The low cost (approximately 10 cent) of the QTF, together with that an array of QTFs can be driven to oscillate simultaneously and their resonance frequencies detected with the same circuit, promises a high performance, low cost, and portable sensor for detecting various chemical vapors. We demonstrate here detection of parts-per-billion-level water, ethylnitrobenzene, and ethanol vapors using the QTF arrays.