In recent years,artificial intelligence(AI)technologies,particularly those represented by deep learn-ing,have demonstrated tremendous potential in the advancement of medical applications.This article reviews recent re-search progress in AI applications for the diagnosis and treatment of triple-negative breast cancer,aiming to inform the development of clinically relevant AI algorithms that align with real-world practice scenarios.The ultimate objectives in-clude enhancing diagnostic accuracy through efficient computational approaches,reducing manual labor burdens,im-proving patient prognosis,and facilitating the identification of therapeutic targets in oncology through AI-driven predic-tive modeling.

Objective:To explore the relapse-related genes and their clinicopathological connections of diffuse large B cell lymphoma (DLBCL).Methods:Targeted panel sequencing was conducted on 32 eligible DLBCL samples; the patients were diagnosed, treated, and went into complete remission at the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2019, including 14 cases with recurrence (relapsed group) and 18 cases with long-term complete remission of over five years (remission group). Clinical and pathological data were further reviewed. Fisher′s exact test was employed to compare the differences in clinicopathological characteristics and mutation patterns between the two groups.Results:Among the 32 patients, there were 18 males and 14 females, with a male to female ratio of 1.3∶1.0 and a median age of 53 (45.5, 67.0) years. In the relapsed group, PIM1 (11/14), KMT2D (7/14), PRDM1 (6/14), MYD88 (6/14), DTX1 (6/14) emerged as the most frequently mutated genes. In the remission group, while recurrent PIM1, KMT2D and MYD88 mutations were also observed, the TP53 gene exhibited the highest mutation frequency (6/18). Compared to the remission group, relapsed group showed elevated mutation frequencies of PIM1 ( P=0.013) and FAT4 ( P=0.010), alongside a reduced incidence of TP53 mutations. In all 32 patients, DLBCL with CD79B, CCND3, DTX1, KMT2D and PRDM1 mutations demonstrated a propensity towards advanced clinicopathologic stage. Conclusions:Relapsed DLBCL has distinctive clinicopathological and genetic features. PIM1 and FAT4 may be served as potential biomarkers for screening relapsed DLBCL-NOS and as targets for novel therapeutic strategies.

Objective:To explore the clinical and pathological features of EBV-positive diffuse large B cell lymphoma (EBV +DLBCL) and to analyze the prognostic significance of CD30 expression in this entity. Methods:A retrospective analysis was conducted from 34 cases of EBV +DLBCL and 198 cases of EBV -DLBCL diagnosed and treated at the First Affiliated Hospital of Nanjing Medical University, from January 2017 to June 2023. Based on CD30 expression, 34 patients with EBV +DLBCL were categorized into CD30-positive and CD30-negative groups. Fisher exact test and Kaplan-Meier survival curves were employed to analyze the relationship between CD30 expression and clinicopathological parameters as well as its prognostic implications. Chi-square tests were used to compare the clinicopathological features between EBV +DLBCL and EBV -DLBCL. Results:There were 19 males and 15 females with a median age of 69.5 (15-83) years in the EBV +DLBCL group. Compared with EBV -DLBCL, EBV +DLBCL was more likely to present with clinical features such as B symptoms ( χ2=23.818, P<0.001), Ann Arbor stage Ⅲ-Ⅳ ( χ2=8.540, P=0.003), ECOG (Eastern Cooperative Oncology Group Performance Status) score 2-4 ( χ2=6.722, P=0.010), IPI score 3-5 ( χ2=9.953, P=0.002), and involvement of more than one extranodal site ( χ2=6.825, P=0.009). Additionally, EBV +DLBCL exhibited higher frequencies of elevated LDH ( χ2=4.307, P=0.038), CRP ( χ2=5.596, P=0.018), and β2-MG ( χ2=7.008, P=0.008) levels. Histopathologically, EBV +DLBCL was more commonly of the non-GCB subtype ( χ2=12.421, P<0.001), with higher frequencies of CD30-positive ( χ2=62.706, P<0.001),CD10-negative ( χ2=8.687, P=0.003),bcl-6-negative ( χ2=11.123, P<0.001), and bcl-2-negative ( χ2=22.779, P=0.003) expression. Using 20% as the positive threshold for CD30, the CD30-positive group had a higher proliferation index ( P=0.045). No significant differences were observed in overall survival between the two groups. Conclusions:EBV +DLBCL is more prevalent in the elderly and often exhibits aggressive clinical features. The expression of CD30 is not associated with the overall prognosis of EBV +DLBCL.

In recent years,artificial intelligence(AI)technologies,particularly those represented by deep learn-ing,have demonstrated tremendous potential in the advancement of medical applications.This article reviews recent re-search progress in AI applications for the diagnosis and treatment of triple-negative breast cancer,aiming to inform the development of clinically relevant AI algorithms that align with real-world practice scenarios.The ultimate objectives in-clude enhancing diagnostic accuracy through efficient computational approaches,reducing manual labor burdens,im-proving patient prognosis,and facilitating the identification of therapeutic targets in oncology through AI-driven predic-tive modeling.

Objective:To explore the relapse-related genes and their clinicopathological connections of diffuse large B cell lymphoma (DLBCL).Methods:Targeted panel sequencing was conducted on 32 eligible DLBCL samples; the patients were diagnosed, treated, and went into complete remission at the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2019, including 14 cases with recurrence (relapsed group) and 18 cases with long-term complete remission of over five years (remission group). Clinical and pathological data were further reviewed. Fisher′s exact test was employed to compare the differences in clinicopathological characteristics and mutation patterns between the two groups.Results:Among the 32 patients, there were 18 males and 14 females, with a male to female ratio of 1.3∶1.0 and a median age of 53 (45.5, 67.0) years. In the relapsed group, PIM1 (11/14), KMT2D (7/14), PRDM1 (6/14), MYD88 (6/14), DTX1 (6/14) emerged as the most frequently mutated genes. In the remission group, while recurrent PIM1, KMT2D and MYD88 mutations were also observed, the TP53 gene exhibited the highest mutation frequency (6/18). Compared to the remission group, relapsed group showed elevated mutation frequencies of PIM1 ( P=0.013) and FAT4 ( P=0.010), alongside a reduced incidence of TP53 mutations. In all 32 patients, DLBCL with CD79B, CCND3, DTX1, KMT2D and PRDM1 mutations demonstrated a propensity towards advanced clinicopathologic stage. Conclusions:Relapsed DLBCL has distinctive clinicopathological and genetic features. PIM1 and FAT4 may be served as potential biomarkers for screening relapsed DLBCL-NOS and as targets for novel therapeutic strategies.

Objective:To explore the clinical and pathological features of EBV-positive diffuse large B cell lymphoma (EBV +DLBCL) and to analyze the prognostic significance of CD30 expression in this entity. Methods:A retrospective analysis was conducted from 34 cases of EBV +DLBCL and 198 cases of EBV -DLBCL diagnosed and treated at the First Affiliated Hospital of Nanjing Medical University, from January 2017 to June 2023. Based on CD30 expression, 34 patients with EBV +DLBCL were categorized into CD30-positive and CD30-negative groups. Fisher exact test and Kaplan-Meier survival curves were employed to analyze the relationship between CD30 expression and clinicopathological parameters as well as its prognostic implications. Chi-square tests were used to compare the clinicopathological features between EBV +DLBCL and EBV -DLBCL. Results:There were 19 males and 15 females with a median age of 69.5 (15-83) years in the EBV +DLBCL group. Compared with EBV -DLBCL, EBV +DLBCL was more likely to present with clinical features such as B symptoms ( χ2=23.818, P<0.001), Ann Arbor stage Ⅲ-Ⅳ ( χ2=8.540, P=0.003), ECOG (Eastern Cooperative Oncology Group Performance Status) score 2-4 ( χ2=6.722, P=0.010), IPI score 3-5 ( χ2=9.953, P=0.002), and involvement of more than one extranodal site ( χ2=6.825, P=0.009). Additionally, EBV +DLBCL exhibited higher frequencies of elevated LDH ( χ2=4.307, P=0.038), CRP ( χ2=5.596, P=0.018), and β2-MG ( χ2=7.008, P=0.008) levels. Histopathologically, EBV +DLBCL was more commonly of the non-GCB subtype ( χ2=12.421, P<0.001), with higher frequencies of CD30-positive ( χ2=62.706, P<0.001),CD10-negative ( χ2=8.687, P=0.003),bcl-6-negative ( χ2=11.123, P<0.001), and bcl-2-negative ( χ2=22.779, P=0.003) expression. Using 20% as the positive threshold for CD30, the CD30-positive group had a higher proliferation index ( P=0.045). No significant differences were observed in overall survival between the two groups. Conclusions:EBV +DLBCL is more prevalent in the elderly and often exhibits aggressive clinical features. The expression of CD30 is not associated with the overall prognosis of EBV +DLBCL.

Objective:To investigate the clinicopathological and molecular genetic characteristics of Crohn′s disease (CD).Methods:A retrospective analysis was conducted on 52 CD patients who underwent surgical resection at the First Affiliated Hospital of Nanjing Medical University between January 2014 and June 2023. Clinical presentations and histopathological features were assessed. Whole-genome sequencing was performed on 17 of the samples, followed by sequencing and pathway enrichment analyses. Immunohistochemistry was used to assess the expression of frequently mutated genes.Results:Among the 52 patients, 34 were males and 18 were females, male-to-female ratio was 1.9∶1.0, with a median age of 45 years at surgery and 35 years at diagnosis. According to the Montreal classification, A3 (51.9%,27/52), B2 (61.5%, 32/52), and L3 (50.0%,26/52) subtypes were the most predominant. Abdominal pain and diarrhea were the common symptoms. Histopathological features seen in all 52 patients included transmural inflammation, disruption of cryptal architecture, lymphoplasmacytic infiltration, varying degrees of submucosal fibrosis and thickening, increased enteric nerve fibers and neuronal proliferation. Mucosal defects, fissure ulcers, abscesses, pseudopolyps, and adenomatous proliferation were also observed in 51 (98.1%), 38 (73.1%), 28 (53.8%), 45 (86.5%), and 28 (53.8%) cases, respectively. Thirty-one (59.6%) cases had non-caseating granulomas, and 3 (5.8%) cases had intestinal mucosal glandular epithelial dysplasia. Molecular analysis showed that 12/17 CD patients exhibited mutations in at least one mucin family gene (MUC2, MUC3A, MUC4, MUC6, MUC12, MUC17), and MUC4 was the most frequently mutated in 7/17 of cases. Immunohistochemical stains showed reduced MUC4 expression in epithelial cells, with increased MUC4 expression in the epithelial surface, particularly around areas of inflammatory cell aggregation; and minimal expression in the lower half of the epithelium.Conclusions:CD exhibits diverse clinical and pathological features, necessitating a comprehensive multidimensional analysis for diagnosis. Mutations and expression alterations in mucin family genes, particularly MUC4, may play crucial roles in the pathogenesis of CD.

Humans ; Consensus ; Liver Neoplasms/therapy* ; China

ObjectiveTo investigate the distribution and trend of rehabilitation personnel of China Disabled Persons' Federation (CDPF) system and the people with disabilities (PWDs) using geographical gravity model. MethodsBased on ArcGIS and statistical data, the distribution of geographical center of gravity of the rehabilitation personnel of the CDPF system from 2011 to 2021 was analyzed. According to the economic development, the areas were divided into three regions, and the eastern region included eleven provincial units, the central region includes eight provincial units, and the western region included twelve provincial units. ResultsCompared with 2011, rehabilitation staffs per thousand PWDs increased at 107.5% in 2021, 81.1%, 114.2% and 174.1% for the eastern, central, and western regions, respectively; professional staffs increased at 190.5%, 148.8%, 284.6% and 280.6% for the eastern, central, and western regions, respectively; managerial staff increased at 80.0%, 46.8%, 554.3% and 128.1% for the eastern, central, and western regions, respectively. Compared with 2011, the geographical center of gravity of the rehabilitation personnel moved about 330.9 km in 2021, while the geographical center of gravity of the PWDs moved about 169.64 km. ConclusionThe rehabilitation personnel in the CDPF system is the most in the eastern region and least in the western region. The tracks of the geographical center of gravity of the three kind of rehabilitation personnel in the CDPF system are relatively consistent. The rehabilitation personnel in the eastern region are more concentrated than those in the western region, and the density of the PWDs is more westward than that of the rehabilitation personnel, and coordination is not a perfect match yet. It is necessary to strengthen the rehabilitation personnel allocation in the western region, to balance distribution of human resources for rehabilitation of PWDs among regions.