Journal of gastrointestinal oncology最新文献

Background: Gastric cancer is one of the most commonly diagnosed malignancies, and a majority of patients with gastric cancer are diagnosed at an advanced stage. However, the association between metastatic patterns and survival outcomes in patients with advanced gastric cancer has not been fully explored. In the present study, we aimed to investigate the metastatic patterns and their association with prognosis in patients with gastric cancer.

Methods: We collected and reviewed data of patients with metastatic gastric cancer from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. The Kaplan-Meier method was used to create survival curves, and the Cox proportional regression model was applied to analyze the association between metastatic pattern and prognosis.

Results: A total of 10,262 patients were enrolled in the present study. Among them, 4,699 (45.79%) had single-site metastasis, including 3,358 (32.72%) with liver-only metastasis, 699 (6.81%) with bone-only metastasis, 560 (5.46%) with lung-only metastasis, and 82 (0.80%) with brain-only metastasis. Moreover, 1,308 (12.75%) patients had multisite metastases, and 4,255 (41.46%) patients had distant metastases but no other detailed information. The median overall survival for patients with single-site and multisite metastases was 4 and 3 months, respectively. The multivariate Cox regression analysis showed that compared with bone-only metastasis, liver-only metastasis (P<0.001) and lung-only metastasis (P=0.001) were associated with better prognosis.

Conclusions: The liver is the most common metastatic site in patients with gastric cancer. N stage, chemotherapy, surgery, and metastatic pattern are independent risk factors associated with prognosis.

Background: Unrelieved cancer pain can seriously reduce patients' quality of life. Hydromorphone based patient-controlled analgesia (PCA) is widely used in surgery. In recent years, it has also gained attention in the field of cancer pain. We report the case of an older patient with refractory pain secondary to colorectal cancer for whom PCA therapy led to improved symptomatic outcomes.

Case description: We present the case of a 79-year-old male with severe pain from advanced colon cancer. After receiving anti-cancer therapy for 7 years, the patient developed pain in the right groin with a pain score of 7/10. The results of whole-body bone imaging suggested the underlying cause to be a pelvic osseous metastasis. Contemporaneous computed tomography (CT) scanning confirmed disease progression in previously noted non-osseous sites of disease. Systemic therapy with bevacizumab, oxaliplatin, and raltitrexed was commenced. For pain palliation, the patient was treated with morphine hydrochloride tablets, morphine hydrochloride injections, compound codeine phosphate and ibuprofen sustained release tablets, incadronate disodium for injection, and oxycodone hydrochloride sustained-release tablets; despite this, his pain remained poorly controlled. The patient was admitted to hospital with a pain score of 8/10. Other symptoms at presentation included fatigue, anorexia, distress and insomnia. A hydromorphone PCA was initiated, which led to a rapid improvement in the patient's pain. The patient died peacefully 17 days later; his family was highly satisfied.

Conclusions: Older patients with cancer experience pain in myriad ways. Patients with advanced cancer pain should receive safe, rapid, and effective pain relief. Hydromorphone-based PCA therapies may provide a valuable therapeutic option for individuals with malignant pain.

Background: Disease-free survival (DFS) is an essential indicator for evaluating the prognosis of liver transplantation (LT) in hepatocellular carcinoma (HCC) patients. Despite progress in the prediction of DFS by radiomics, only preoperative clinical features have been combined in most studies. The aim of this study was to construct a nomogram model (NM) using preoperative clinical features, radiomics, and postoperative pathological indicators for more effective prediction of DFS.

Methods: This was a retrospective study of a single-center cohort comprising 139 HCC patients. Using the whole cohort, we constructed and assessed a clinical model (CM) based on alpha-fetoprotein (AFP) and alkaline phosphatase (ALP), a pathological model (PM) based on Ki-67 and tumor number, a radiomics model (RM) based on the radiomics score (Rad-score), and an NM based on the above five independent predictors.

Results: Significant correlations between the NM and DFS were observed in the training and validation cohorts. Among the four prediction models, the C-index of the NM was the highest [(training/validation cohort) CM: 0.664/0.676, PM: 0.737/0.691, RM: 0.706/0.697, NM: 0.817/0.760], and the areas under the receiver operating characteristic curves (AUCs) of the NM prediction of 1-year, 2-year, and 3-year DFS were also the highest [(training/validation cohort) 1-year, 2-year, and 3-year CM: 0.726/0.726, 0.685/0.744, 0.645/0.686, PM: 0.789/0.780, 0.801/0.748, 0.841/0.735, RM: 0.769/0.752, 0.717/0.805, 0.748/0.765, NM: 0.882/0.854, 0.867/0.849, 0.882/0.801]. The NM also exhibited the highest net clinical benefit.

Conclusions: Based on radiomics, clinical features, and pathological indicators, the NM could be used to effectively predict DFS after LT in HCC patients, guiding the follow-up and complementary treatment.