Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

Objective To examine the impact of climate, land use and their interaction effect on the population density of Oncomelania hupensis. Methods O. hupensis snail surveillance data in Yunnan Province from 2013 to 2022 were obtained from the National Information System for Parasitic Diseases Prevention and Control of Chinese Information System for Disease Control and Prevention, and the density of living snails was calculated in each county-level administrative district. Climate data were obtained from the China Meteorological Forcing Dataset version 2.0, and land use data were captured from the China Land Cover Dataset. The raster climate data and land use data were clipped to the administrative border of Yunnan Province in the R package version 4.5, and the climate data were resampled to a spatial resolution of 30 m × 30 m consistent with the land use data using bilinear interpolation. Annual meteorological indicators were extracted from each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022, including average temperature, maximum temperature, minimum temperature, temperature difference, average precipitation rate, maximum precipitation rate, minimum precipitation rate, downward shortwave radiation flux, downward longwave radiation flux, air pressure, wind speed, specific humidity and relative humidity. Annual land use structure and landscape pattern index in each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022 were extracted and calculated, including the proportion of areas occupied by each type of land use, patch density, largest patch index, landscape separation index, landscape fragmentation index, landscape segmentation index, contagion index, patch cohesion index, edge density, and shape index. Land use entropy index was introduced to represent the degree of habitat fragmentation and ecological niche breadth. The density of living snails and environmental factors were subjected to rank correlation analysis, and variables with no statistically significant correlation (P>0.1) were excluded. Then, a correlation coefficient matrix was constructed, and |r_s| of 0.85 and greater was defined as the threshold of high collinearity. For highly correlated variables in each group, indicators with a more biological explanatory power or a better statistical efficiency were retained. A generalized additive model (GAM) was constructed with O. hupensis snail density as a response variable and screened environmental variables as independent variables, and the model performance was evaluated using the variance explained. Results The area occupied by O. hupensis snail habitats was 1 056 to 1 680 hm² in Yunnan Province from 2013 to 2022, appearing an overall tendency towards a decline; however, the density of living snails appeared a tendency towards a slight rise. Based on the correlation coefficient matrix, 14 core explanatory variables were retained, including farmland, water bodies, bare land, impervious surface, landscape separation index, landscape fragmentation index, edge density, shape index, land use entropy index, downward longwave radiation flux, downward shortwave radiation flux, maximum temperature, minimum precipitation rate and specific humidity. Two types of GAM were constructed, including the main-effects model without interaction terms and the interaction model with interaction terms. The corrected Akaike information criterion (AICc) of the optimal main-effects model was −285.223, and the core variables included bare land, impervious surface, landscape separation index, edge density, shape index, land use entropy index and downward shortwave radiation flux. Following introduction of second-order interaction terms, the AICc value of the optimal interaction model was −345.526, and the significant interaction combinations included: farmland × impervious surface, farmland × landscape separation index, farmland × shape index, farmland × land use entropy index, impervious surface × landscape separation index, impervious surface × edge density, and shape index × downward shortwave radiation flux. The proportion of the main-effects model explaining the variation of O. hupensis snail density was 39.8%, and the explanatory power of GAM increased to 79.0% following introduction of interaction terms. Conclusion Landscape separation index, edge density, shape index and other landscape pattern indicators pose significant impacts on the intensity and direction of changes in O. hupensis snail density in Yunnan Province.

Objective:To compare the clinical and laboratory characteristics and survival between Chinese and Western patients with myelodysplastic neoplasms (MDS) .Methods:Clinical and laboratory data were collected from 1,464 primary adult patients diagnosed with MDS at the Institute of Hematology & Blood Diseases Hospital from August 2016 to June 2024. Collected data were retrospectively analyzed and compared with 2,191 patients from the International Working Group for the Prognosis of Myelodysplastic Syndromes (IWG-PM) .Results:Chinese patients were significantly younger (median age: 56 years vs. 72 years, P<0.001) and experienced more severe hematopenia ( P<0.001) compared with patients from the IWG-PM. Further, Chinese patients exhibited a higher percentage of isolated del (20q), +8, and complex karyotypes as well as a lower percentage of normal karyotypes, del (5q), and -Y ( P<0.001). Higher U2AF1, NRAS, and NPM1 mutation rates and lower ASXL1, SF3B1, and RUNX1 mutation rates were observed in Chinese patients than in participants from the IWG-PM ( P<0.05). No significant difference in overall survival (OS) was found between the two groups (median OS: 48 [95% CI: 40 - 56]months, vs. 45[95% CI: 40 - 49] months; P=0.449). Among participants aged ≤45 years, Chinese patients demonstrated more trisomy 8 ( P=0.070) and U2AF1 mutation ( P<0.001) and higher 4-year OS rate compared with those from the IWG-PM (75.5% vs. 62.1%, P=0.001). Among participants aged ≥70 years, Chinese patients exhibited more complex karyotypes but fewer del (5q) as well as more NPM1 but less SF3B1 and TET2 compared with those from the IWG-PM ( P<0.05). Chinese patients demonstrated shorter survival (median OS: 20 [95% CI: 13 - 27] months vs. 37 [95% CI: 32 - 42] months, P<0.001) . Conclusion:Chinese and Western MDS patients differ in age of onset, clinical features, and cytogenetic or molecular genetic abnormalities, with significant differences persisting in age-matched groups. Although the OS is similar, disparities exist in survival for younger and older patients between the two populations.

Objective:To investigate the association between pre- and post-treatment gene mutation profiles and clinical outcomes (treatment response and prognosis) in patients with myelodysplastic syndromes with excess blasts (MDS-EB) receiving hypomethylating agent (HMA) monotherapy.Methods:The clinical characteristics, treatment efficacy, and survival outcomes of 69 treatment-naive patients with MDS-EB who underwent next-generation sequencing (NGS) before treatment and completed at least 4 cycles of HMA monotherapy at the Institute of Hematology & Blood Diseases Hospital, CAMS & PUMC, between June 2016 and September 2023, were retrospectively analyzed.Results:① The cohort comprised 47 males and 22 females with a median age of 62 years (range: 41-80). Thirty-nine patients were classified as MDS-EB1 and 30 as MDS-EB2. The median number of treatment cycles was 6 (range: 4-35). The median follow-up duration was 22 months (range: 5-72), and the median overall survival (OS) was 32 months (95% CI: 27-43). ② The presence of DTA (DNMT3A, TET2, or ASXL1) mutations, signaling pathway mutations, transcription factor mutations, or splicing factor mutations before HMA treatment showed no significant association with the best response within 4 treatment cycles, duration of response (DOR), or OS. TP53 mutation status was significantly associated with DOR and shorter OS. The median DOR was 3 months (95% CI: 1-10) for patients with biallelic TP53 mutations, 10 months (95% CI: 3-34) for those with monoallelic TP53 mutations, and 16 months (95% CI: 8-27) in patients without TP53 mutations ( P=0.032). The median OS was 16 months (95% CI: 7-38), 15 months (95% CI: 6-40), and 35 months (95% CI: 14-91), respectively ( P<0.001). ③ Neither the Revised International Prognostic Scoring System (IPSS-R) nor the Molecular International Prognostic Scoring System (IPSS-M) could predict the best response within 4 treatment cycles or DOR in patients receiving HMA therapy. ④ Among patients without TP53 mutations, the median OS was 55 months (95% CI: 9-106) for the major clone significant clearance group ( n=14) and 31 months (95% CI: 16-184) for the major clone non-significant clearance group ( n=10) ( P=0.013). For patients who responded to HMA treatment and had significant major clone clearance, the 3-year OS rate reached (77.8±13.9) %. Conclusion:For MDS-EB patients receiving HMA monotherapy, single gene mutations, IPSS-R, and IPSS-M could not effectively predict treatment outcomes before therapy. However, for patients without TP53 mutations, monitoring the degree of major clone clearance by NGS during treatment may predict the long-term efficacy in MDS patients receiving HMA therapy.

Objective:To analyze the clinical characteristics, therapeutic responses, and survival outcomes of patients with lymphocytic variant hypereosinophilic syndrome (L-HES) .Methods:We retrospectively reviewed clinical data from 16 consecutive patients diagnosed with L-HES at the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences, between July 2019 and October 2024. A control group of 65 patients with idiopathic hypereosinophilic syndrome (iHES), diagnosed during the same period, was used for comparison. Clinical and laboratory characteristics, therapeutic responses, and survival outcomes were compared between the two groups.Results:The most frequently involved organs at presentation in patients with L-HES were the skin (75.0%), gastrointestinal tract (25.0%), respiratory tract (18.8%), lymph nodes (18.8%), heart (12.5%), and spleen (6.3%). Compared with iHES patients, patients with L-HES had a significantly higher incidence of skin involvement ( P=0.016), with no statistically significant differences observed in the involvement of other organs. No statistically significant differences were found in complete blood count parameters between the two groups. Multiparameter flow cytometry revealed that the median percentage of CD3 -CD4 + T cells in the peripheral blood of patients with L-HES was 4.08% ( IQR: 1.64%-32.78%), with a median absolute count of 0.10 (0.05-0.55) ×10 9/L. Serum immunoglobulin E (IgE) levels were significantly higher in the L-HES group than in the iHES group ( P<0.001). Clonal rearrangement of T-cell receptor genes was detected in 75.0% of patients with L-HES. After diagnosis, 14 patients with L-HES received glucocorticoids as first-line therapy, yielding an overall response rate of 92.9%. During glucocorticoid tapering, 11 patients experienced recurrent eosinophilia or worsening of clinical symptoms. Three patients received interferon-alpha as a second-line therapy, with two achieving complete remission. After a median follow-up of 16 months ( IQR: 8-28 months), one patient died of cardiac insufficiency 8 months after diagnosis, and no cases of lymphoma transformation were observed. The 2-year overall survival rate was (91.7±8.0) %, which did not significantly differ from that of the iHES group (96.2±2.6) % ( P=0.746) . Conclusions:Patients with L-HES generally have a favorable prognosis and are often characterized by skin involvement and significantly elevated serum IgE levels at diagnosis. They typically respond well to glucocorticoid therapy, although relapse is common during dose tapering. Interferon-alpha may serve as an effective second-line therapeutic option.

Objective:To identify the prognostic value of the Revised 15-item Myelodysplastic Syndrome-specific frailty scale (FS-15) in Chinese patients with myelodysplastic syndromes (MDS) .Methods:This retrospective study analyzed 812 patients with newly diagnosed MDS admitted to the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College from August 2016 to June 2023. Patients were assessed using the FS-15 and subsequently categorized into frail and non-frail groups. Clinical and laboratory characteristics, as well as overall survival (OS), were compared between these groups.Results:① The median patient age was 55 years ( IQR 45–64), with a median follow-up of 22.5 months (95% CI: 20.2–24.9) and a median OS of 43.3 months (95% CI: 36.8–49.8). The median FS-15 score was 0.42, with a cutoff value of 0.44. Male patients demonstrated higher median FS-15 scores than female patients (0.42 vs 0.38, P=0.006). In both the Revised International Prognostic Scoring System (IPSS-R; P=0.001) and Molecular International Prognostic Scoring System (IPSS-M; P=0.014) stratifications, FS-15 scores were significantly higher in the very high-risk group compared with the very low-risk group. ② The median OS was 54.7 months (95% CI: 47.5–NA) and 31.5 months (95% CI: 22.9–41.0) in the nonfrail ( n=452) and frail groups ( n=360), respectively ( P<0.001). The 3-year OS rates were (63.2 ± 3.2) % and (46.4 ± 3.6) % for the non-frail and frail groups, with 5-year OS rates of (49.9 ± 4.7) % and (32.0 ± 4.3) %, respectively ( P<0.001). ③Subgroup analysis revealed that nonfrail patients demonstrated significantly higher 3-year OS rates than frail patients in both the IPSS-M low-risk and very high-risk groups (all P<0.05). Similarly, nonfrail patients demonstrated superior 3-year OS rates compared with frail patients in the IPSS-R very low-risk, low-risk, and high-risk groups (all P<0.05). ④Among patients receiving hypomethylating agent therapy, the overall response rate was significantly higher in the non-frail group than in the frail group (86.7% vs 64.6%, P=0.007). Moreover, the frail group experienced higher rates of treatment-related adverse events, including febrile neutropenia (67.1% vs 47.4%, P=0.016) and liver function abnormalities (30.0% vs 14.5%, P=0.023), compared with the non-frail group. Conclusion:The FS-15 frailty score is a feasible and effective tool for assessing frailty in patients newly diagnosed with MDS in China and serves as a valuable prognostic indicator.

Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.

Objective:To investigate the clinical, laboratory, and prognostic features of myelodysplastic neoplasm (MDS) patients harboring acute myeloid leukemia (AML) -like mutations.Methods:We retrospectively analyzed clinical, molecular, and outcome data from 1 464 adults with primary MDS diagnosed at the Institute of Hematology and Blood Diseases Hospital from August 2016 to June 2024.Results:AML-like mutations were detected in 64 patients (4.4% ). Compared with patients without AML-like mutations, those with AML-like mutations were younger [median 50 ( IQR 39–60) vs 56 (45, 65) years; P=0.001], more often female (51.6% vs 35.4% ; P=0.009), had higher bone marrow blast percentage [6.5% (3.0%, 10.5% ) vs 2.5% (1.0%, 7.0% ) ; P<0.001], a higher rate of normal karyotype (75.0% vs 48.1% ; P<0.001), and lower hemoglobin levels [73 (67, 82) g/L vs 80 (66, 98) g/L; P=0.006]. The AML-like group had a higher number of gene mutations than the non-AML-like group [3 ( IQR 2–4) vs 2 (1, 3) ; P<0.001). It was enriched for mutations in NPM1, DNMT3A, WT1, PTPN11, NRAS, BCOR, FLT3, CEBPA, and MYC (all P<0.05) and had lower rates of U2AF1, ASXL1, and TP53 mutations (all P<0.05). Overall survival (OS) did not differ between groups ( P=0.730) ; however, the AML-like group had significantly shorter leukemia-free survival (LFS) [19 months (95% CI: 13–25) vs 46 months (95% CI: 38–54) ; P=0.012] and a higher 2-year cumulative incidence of AML transformation [ (41.7±9.1) % vs (10.4±1.1) % ; P<0.001]. Within the AML-like group, OS, LFS, and cumulative incidence of AML transformation did not differ between patients with low blasts and those with excess blasts (IB). Multivariable Cox regression identified age ≥60 years and PTPN11 mutations as independent adverse prognostic factors for OS, while DNMT3A, PTPN11, and FLT3 mutations independently predicted leukemic transformation. Conclusions:MDS patients harboring AML-like mutations exhibit distinct clinical and molecular features and a higher risk of progression to AML.

In this paper, two cases of primary familial and congenital polycythemia (PFCP) were reported, and the literature was reviewed. PFCP is a rare autosomal dominant inherited disease caused by a gain-of-function mutation in the EPOR gene, resulting in a loss of negative regulation of erythrocyte proliferation. The two patients were young women with simple polycythemia and clear family history, and identified to carry the truncated mutation c.1316G>A (p.W439*) of EPOR gene. At present, there is no unified treatment plan for PFCP. Currently, there is no standardized treatment for PFCP; management primarily aligns with guidelines for polycythemia vera, focusing on preventing thrombotic complications. This article discusses the clinical features of PFCP, EPOR gene mutations, and their pathogenic mechanisms, while providing diagnostic and therapeutic recommendations based on existing literature.

Many genomic features of lymphohematopoietic tissue tumors have been recognized by molecular pathological testing and high-throughput sequencing technology.The gene detection technology and its progress are of great significance for the diagnosis and treatment of lymphoma.This paper introduces new technologies for the pathological diagnosis and research of lymphoma,including whole genome sequencing,circulating tumor DNA analysis,single cell analysis and epigenetic research,etc.The latest progress in the genetic characteristics,prognostic stratification and treatment prospects of common lymphoma based on the new WHO classification of lymphohematopoietic tissue tumors will help to guide the pathological diagnosis and clinical treatment of lymphoma.