A 66-year-old man was admitted to our department with hypercalcemia, pancreatic and liver tumors, and periportal lymph node enlargement. Contrast-enhanced computed tomography revealed a tumor in the pancreatic tail and the right hepatic lobe along with periportal lymphadenopathy. Laboratory data revealed hypercalcemia and high serum parathyroid hormone-related protein (PTHrP) levels. Using a 22-gauge Franseen needle, we performed endoscopic ultrasonography-guided fine-needle biopsy of the pancreatic mass and an enlarged lymph node. Histopathological examination of the biopsy specimen revealed moderately to well-differentiated pancreatic adenocarcinoma with poorly differentiated squamous cell elements, as well as squamous cell carcinoma of the lymph node. Immunohistochemical examination showed that the pancreatic tissue was weakly immunopositive and the lymph node was strongly immunopositive for anti-PTHrP antibody. We diagnosed the patient with pancreatic adenosquamous carcinoma with liver and lymph node metastasis, associated with hypercalcemia of malignancy secondary to PTHrP secretion. We administered systemic chemotherapy comprising gemcitabine and nab-paclitaxel. Unfortunately, the patient died 8 months after being diagnosed with this malignancy. PTHrP-producing adenosquamous carcinoma of the pancreas is rare;only 14 cases are reported in the literature. Based on immunohistochemical evaluation, this case report suggests that metastatic lymph nodes may lead to the overproduction of PTHrP in such cases.

Download full-text PDF

Source
http://dx.doi.org/10.11405/nisshoshi.118.480DOI Listing

Publication Analysis

Top Keywords

lymph node
20
fine-needle biopsy
8
parathyroid hormone-related
8
squamous cell
8
adenosquamous carcinoma
8
pancreatic
7
lymph
6
node
5
[endoscopic ultrasound-guided
4
ultrasound-guided fine-needle
4

Similar Publications

Purpose: To explore the dynamic and parametric characteristics of [F]F-FAPI-42 PET/CT in lung cancers.

Methods: Nineteen participants with newly diagnosed lung cancer underwent 60-min dynamic [F]F-FAPI-42 PET/CT. Time-activity curves (TAC) were generated for tumors and normal organs, with kinetic parameters (K, K, K, K, K) calculated.

View Article and Find Full Text PDF

Modeling the lymph node stromal cells in oral squamous cell carcinoma: insights into the stromal cues in nodal metastasis.

Hum Cell

January 2025

Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, Narayana Health, Bangalore, India.

The study explores the development and characterization of lymph node stromal cell cultures (LNSCs) from patients with oral squamous cell carcinoma (OSCC), highlighting the importance of understanding tumor-node cross-talk for effective prognostic and therapeutic interventions. Herein, we describe the development and characterization of primary lymph node stromal cells (LNSCs, N = 14) from nodes of metastatic and non-metastatic OSCC patients. Primary cultures were established by the explant method from positive (N + ; N = 2), and negative nodes (N0; N = 4) of the metastatic patients (N = 3) as well as negative (N0; N = 8) nodes from non-metastatic (N = 4) patients.

View Article and Find Full Text PDF

Fusobacterium nucleatum is implicated in esophageal cancer; however, its distribution in esophageal cancer tissues remains unknown. This study aimed to clarify the presence and distribution of F. nucleatum in esophageal cancer tissues using fluorescence in situ hybridization (FISH).

View Article and Find Full Text PDF

Aim: Complete mesocolic excision (CME) is an oncologically driven technique for treating right colon cancer. While laparoscopic CME is technically demanding and has been associated with more complications, the robotic approach might reduce morbidity. The aim of this study was to assess the safety of stepwise implementation of robotic CME.

View Article and Find Full Text PDF

Aim: Lymph node metastasis is an adverse prognostic factor in pancreatic ductal adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using preoperative imaging alone. We used machine learning (combining preoperative imaging findings, tumor markers, and clinical information) to create a novel prediction model for lymph node metastasis in resectable pancreatic ductal adenocarcinoma.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!