Desmoplastic reaction (DR) is one of many tumor–host interactions and is associated with the overall survival (OS) of patients with colorectal cancer. However, the clinical significance of DR requires further study in large multicenter cohorts and its predictive value in adjuvant chemotherapy (ACT) response remains unclear. Here, a total of 2,225 patients with colorectal cancer from five independent institutions were divided into primary (N = 1,012 from two centers) and validation (N = 1,213 from three centers) cohorts. DR was classified as immature, middle, or mature depending on the presence of myxoid stroma and hyalinized collagen bundles at the invasive front of the primary tumor. OS among different subgroups were compared, and the correlations of DR type with tumor-infiltrating lymphocytes (TILs) within stroma, tumor stroma ratio (TSR), and Stroma AReactive Invasion Front Areas (SARIFA) were also analyzed. In the primary cohort, patients with mature DR had the highest 5-year survival rate. These findings were confirmed in validation cohort. In addition, for stage II colorectal cancer, patients classified as non-mature DR would benefit from ACT compared with surgery alone. Furthermore, immature and middle DR were more associated with high TSR, less distribution of TILs within stroma and positive SARIFA compared with mature. Taken together, these data suggest that DR is a robust-independent prognostic factor for patients with colorectal cancer. For patients with stage II colorectal cancer, non-mature DR could be a potential marker for recognizing high-risk patients who may benefit from ACT. Significance: DR has the potential to identify patients with high-risk colorectal cancer and predict the efficacy of adjuvant chemotherapy in patients with stage II colorectal cancer. Our findings support reporting DR types as additional pathologic parameters in clinical practice for more precise risk stratification.

Backgrounds: Ectopic fat deposition is closely related to chronic kidney disease (CKD). Currently, there are few population studies that have been conducted to determine the relationship between renal parenchyma fat deposition and the risk of CKD among patients with type 2 diabetes mellitus (T2DM). Therefore, we employed magnetic resonance imaging (MRI) to detect renal parenchyma fat content in individuals with T2DM, expressed as renal fat fraction (FF), to explore whether renal FF is an important risk factor for CKD in patients with T2DM.Methods: In this cross-sectional study, 189 subjects with T2DM were enrolled. CKD was defined as the estimated glomerular filtration rate (eGFR)<60 mL/min/1.73m². Measurement of the renal FF was performed on a 3.0-T MRI (MAGNETOM Skyra, Siemens, Erlangen, Germany). Binary logistic regression was used to determine the association between tertiles of renal FF and risk of CKD. Receiver-operator characteristic (ROC) curves were constructed to evaluate the sensitivity and specificity of renal FF in detecting CKD in T2DM patients.Results: The patients were divided into three groups according to tertiles of the renal FF level (2.498 - 7.434). As renal FF increases, patients tend to be older, and more abdominally obese, with a decreased eGFR (p<0.05). After adjustment for potential confounders, patients in the highest tertile of renal FF had a significantly increased risk of CKD than those in the lowest tertile (odds ratio (OR) = 3.98, 95% confidence interval (CI) = 1.12 - 14.09, p = 0.032), and the area under the ROC curve for this model was 0.836 (0.765–0.907).Conclusions: The renal FF is significantly independently associated with CKD in patients with T2DM.

Background: Tumour-stroma interactions, as indicated by tumour-stroma ratio (TSR), offer valuable prognostic stratification information. Current histological assessment of TSR is limited by tissue accessibility and spatial heterogeneity. The authors aimed to develop a multitask deep learning (MDL) model to noninvasively predict TSR and prognosis in colorectal cancer (CRC). Materials and methods: In this retrospective study including 2268 patients with resected CRC recruited from four centres, the authors developed an MDL model using preoperative computed tomography (CT) images for the simultaneous prediction of TSR and overall survival. Patients in the training cohort (n=956) and internal validation cohort (IVC, n=240) were randomly selected from centre I. Patients in the external validation cohort 1 (EVC1, n=509), EVC2 (n=203), and EVC3 (n=360) were recruited from other three centres. Model performance was evaluated with respect to discrimination and calibration. Furthermore, the authors evaluated whether the model could predict the benefit from adjuvant chemotherapy. Results: The MDL model demonstrated strong TSR discrimination, yielding areas under the receiver operating curves (AUCs) of 0.855 (95% CI, 0.800–0.910), 0.838 (95% CI, 0.802–0.874), and 0.857 (95% CI, 0.804–0.909) in the three validation cohorts, respectively. The MDL model was also able to predict overall survival and disease-free survival across all cohorts. In multivariable Cox analysis, the MDL score (MDLS) remained an independent prognostic factor after adjusting for clinicopathological variables (all P<0.05). For stage II and stage III disease, patients with a high MDLS benefited from adjuvant chemotherapy [hazard ratio (HR) 0.391 (95% CI, 0.230–0.666), P=0.0003; HR=0.467 (95% CI, 0.331–0.659), P<0.0001, respectively], whereas those with a low MDLS did not. Conclusion: The multitask DL model based on preoperative CT images effectively predicted TSR status and survival in CRC patients, offering valuable guidance for personalized treatment. Prospective studies are needed to confirm its potential to select patients who might benefit from chemotherapy.

Tertiary lymphoid structures (TLS) are major component in immune microenvironment, correlating with a favorable prognosis in colorectal cancer. However, the methods used to define and characterize TLS were not united, hindering its's clinical application. This study aims to seek a more stable method to characterize TLS and clarify its prognostic value in larger multicenter cohorts. A total of 1609 patients from four hospitals and the TCGA database were analyzed. We quantified the number and maximum length of TLS along the invasive margin of tumor using hematoxylin and eosin (HE)-stained whole-slide images (WSIs). Additionally, the length of the invasive margin was determined to calculate the TLS density. The prognostic value of the TLS for overall survival was evaluated. In addition, we examined the association between TLS density and immune cell infiltration using immunohistochemistry-stained WSIs. The performance for predicting overall survival was measured using hazard ratios (HR) with 95% confidence intervals (CI). Among the three TLS quantification methods, TLS density has the strongest discriminative performance. Survival analysis indicated that higher TLS density correlated with better overall survival (HR for high vs. low 0.57 [95% CI 0.42–0.78] in primary cohort; 0.49 [0.35–0.69] in validation cohort; 0.35 [0.18–0.67] in TCGA cohort). A high TLS density was associated with a high level of CD3⁺ T cells infiltration. Based on this comparative multicenter analysis, TLS density was identified as a simple, robust, and effective immune prognostic index for colorectal cancer.

Rationale: Primary biliary non-Hodgkin's lymphoma (PBNHL) is a rare disease with only 41 cases reported since 1982. The incidence of PBNHL in patients with malignant cholangiocarcinoma was 0.6%, and PBNHL accounted for 0.4% of extranodal non-Hodgkin's lymphoma, and only 0.016% of all non-Hodgkin's lymphoma cases. Patient concerns: We present a rare case of PBNHL in a 59-year-old female who had jaundice for 3 days with weight loss and Epstein-Barr virus infection. Initial computed tomography and magnetic resonance imaging showed diffuse thickening wall of bile ducts with corresponding lumen stenosis, blurred fat space around the portal vein, lymphadenopathy, and a normal spleen. These manifestations and images were similar to hilar cholangiocarcinoma. So, the diagnosis of hilar cholangiocarcinoma was initially considered. Diagnoses: Postoperative pathology confirmed the final diagnosis was PBNHL. Interventions: The patient and her family requested to clarify the histologic diagnosis by laparotomy biopsy. Because the biopsy result could not be defined during operation, then right hemihepatectomy and choledochojejunostomy were performed. She did not receive any antitumor treatment. Outcomes: One month after the patient's first examination, both computed tomography and magnetic resonance images showed diminished stenosis of common bile duct and left hepatic duct, but a new mass in segment IV of liver was observed. Unfortunately, the patient died due to disease progression. Lessons: This case reminds us that although PBNHL is rare, making accurate diagnosis difficult preoperatively, PBNHL should be considered when encountering a case with Epstein-Barr virus infection and those typical imaging findings.