Patient perceptions and preferences of minimally invasive treatment modalities in varicose veins: a cross-sectional survey.

Purpose: Minimally invasive therapies (MIT) have gained popularity due to their capacity to reduce trauma, enhance aesthetic outcomes, and shorten recovery periods. This article explores patients' perceptions and preferences regarding MIT for varicose veins (VVs) while analyzing associated influencing factors to provide a better understanding. Patients and methods: A cross-sectional survey at Zhejiang Rongjun Hospital was performed from January 2022 to June 2023, involving 305 participants with VVs. The questionnaire assessed patient demographics, VVs severity, prior treatment experiences, and treatment preferences. Statistical analyses, including chi-square and Kruskal-Wallis tests, were conducted to explore the correlations between patient characteristics, treatment preferences, and factors influencing these choices. Results: Nearly half of the participants (44.3%) lacked information on any surgical options, whereas a slight majority (55.7%) possessed familiarity with at least one treatment modality, and only 9.8% knew of all six treatment methods presented. Patient surveys discerned that the majority (68.5%) declared an inadequate grasp of treatment methodologies to articulate a treatment preference. Among the 96 patients who made a treatment choice, 24.0% opted for traditional surgery, while 76.0% chose MIT and a higher preference for MIT among male patients compared to female patients (p = 0.006). The patients preferred treatment options for VVs significantly affected by vascular surgeon recommendations and the number of follow-up visits (r = 0.129, p = 0.024; r = 0.122, p = 0.033). Conclusion: The study highlights limited awareness of MIT among Chinese patients with VVs. The insights emphasize the influential role of vascular surgeons' recommendations and suggest a growing predilection for less invasive treatments due to their advantages in recovery and aesthetics. Provider-patient communication, including education about available treatments and shared decision-making, is essential to align treatment plans with patient expectations and improve outcomes.

Pervasive structural heterogeneity rewires glioblastoma chromosomes to sustain patient-specific transcriptional programs.

Glioblastoma multiforme (GBM) encompasses brain malignancies marked by phenotypic and transcriptional heterogeneity thought to render these tumors aggressive, resistant to therapy, and inevitably recurrent. However, little is known about how the spatial organization of GBM genomes underlies this heterogeneity and its effects. Here, we compile a cohort of 28 patient-derived glioblastoma stem cell-like lines (GSCs) known to reflect the properties of their tumor-of-origin; six of these were primary-relapse tumor pairs from the same patient. We generate and analyze 5 kbp-resolution chromosome conformation capture (Hi-C) data from all GSCs to systematically map thousands of standalone and complex structural variants (SVs) and the multitude of neoloops arising as a result. By combining Hi-C, histone modification, and gene expression data with chromatin folding simulations, we explain how the pervasive, uneven, and idiosyncratic occurrence of neoloops sustains tumor-specific transcriptional programs via the formation of new enhancer-promoter contacts. We also show how even moderately recurrent neoloops can relate to patient-specific vulnerabilities. Together, our data provide a resource for dissecting GBM biology and heterogeneity, as well as for informing therapeutic approaches.

Diagnostic Efficiency of ACR-TIRADS Score for Differentiating Benign and Malignant Thyroid Nodules of Various Pathological Types.

BACKGROUND Thyroid nodule prevalence reaches 65% in the general population. Hence, appropriate ultrasonic examination is key in disease monitoring and management. We investigated the American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) score for diagnosis of benign and malignant thyroid nodules and pathological types. MATERIAL AND METHODS A retrospective study was conducted. According to ultrasound images, ultrasonic characteristics of benign and malignant thyroid nodules and different pathological types were analyzed using ACR-TIRADS score, and diagnostic value was determined. AUCs were compared for tumor diagnosis and differentiation. RESULTS Overall, 1675 thyroid nodules from 1614 patients were included. AUC value of papillary thyroid carcinoma (PTC) diagnosed with ACR-TIRADS was highest (0.955 [95% CI=0.946-0.965]), while that of follicular thyroid carcinoma (FTC) was lowest (0.877 [95% CI=0.843-0.912]). FTC had the highest sensitivity (95.1%) and lowest specificity (64.8%). When the cut-off value was 5.5 points, accuracy of diagnosing PTC and anaplastic thyroid carcinoma (ATC) was highest, 80.5% and 78.7% respectively. Comparison of the multi-index prediction model constructed by multivariable logistic regression analysis and prediction model constructed by ACR-TIRADS score showed, when evaluating PTC and ATC, the multi-index model was better: AUCs of PTC were 0.966 vs 0.955, and AUCs of ATC were 0.982 vs 0.952, respectively, (P<0.05). CONCLUSIONS ACR-TIRADS score-based ultrasound examination of thyroid nodules aids diagnosis of benign and malignant thyroid nodules. TIRADS criteria favor diagnosis of PTC (and ATC) over FTC. ACR-TIRADS score can help clinicians diagnose thyroid nodules quickly and earlier, exhibits good clinical value, and can prevent missed diagnoses.

Hijacked enhancer-promoter and silencer-promoter loops in cancer.

Recent work has shown that besides inducing fusion genes, structural variations (SVs) can also contribute to oncogenesis by disrupting the three-dimensional genome organization and dysregulating gene expression. At the chromatin-loop level, SVs can relocate enhancers or silencers from their original genomic loci to activate oncogenes or repress tumor suppressor genes. On a larger scale, different types of alterations in topologically associating domains (TADs) have been reported in cancer, such as TAD expansion, shuffling, and SV-induced neo-TADs. Furthermore, the transformation from normal cells to cancerous cells is usually coupled with active or repressive compartmental switches, and cancer-specific compartments have been proposed. This review discusses the sites, and the other latest advances in studying how SVs disrupt higher-order genome structure in cancer, which in turn leads to oncogene dysregulation. We also highlight the clinical implications of these changes and the challenges ahead in this field.

Analysis of the impact of immunotherapy efficacy and safety in patients with gastric cancer and liver metastasis.

BACKGROUND: Gastric cancer (GC) is the fifth most common type of cancer and has the fourth highest death rate among all cancers. There is a lack of studies examining the impact of liver metastases on the effectiveness of immunotherapy in individuals diagnosed with GC. AIM: To investigate the influence of liver metastases on the effectiveness and safety of immunotherapy in patients with advanced GC. METHODS: This retrospective investigation collected clinical data of patients with advanced stomach cancer who had immunotherapy at our hospital from February 2021 to January 2023. The baseline attributes were compared using either the Chi-square test or the Fisher exact probability method. The chi-square test and Kaplan-Meier survival analysis were employed to assess the therapeutic efficacy and survival duration in GC patients with and without liver metastases. RESULTS: The analysis comprised 48 patients diagnosed with advanced GC, who were categorized into two groups: A liver metastasis cohort (n = 20) and a non-liver metastatic cohort (n = 28). Patients with liver metastasis exhibited a more deteriorated physical condition compared to those without liver metastasis. The objective response rates in the cohort with metastasis and the cohort without metastasis were 15.0% and 35.7% (P > 0.05), respectively. Similarly, the disease control rates in these two cohorts were 65.0% and 82.1% (P > 0.05), respectively. The median progression-free survival was 5.0 months in one group and 11.2 months in the other group, with a hazard ratio of 0.40 and a significance level (P) less than 0.05. The median overall survival was 12.0 months in one group and 19.0 months in the other group, with a significance level (P) greater than 0.05. CONCLUSION: Immunotherapy is less effective in GC patients with liver metastases compared to those without liver metastasis.

Multifaceted roles of cohesin in regulating transcriptional loops.

Cohesin is required for chromatin loop formation. However, its precise role in regulating gene transcription remains largely unknown. We investigated the relationship between cohesin and RNA Polymerase II (RNAPII) using single-molecule mapping and live-cell imaging methods in human cells. Cohesin-mediated transcriptional loops were highly correlated with those of RNAPII and followed the direction of gene transcription. Depleting RAD21, a subunit of cohesin, resulted in the loss of long-range (>100 kb) loops between distal (super-)enhancers and promoters of cell-type-specific genes. By contrast, the short-range (<50 kb) loops were insensitive to RAD21 depletion and connected genes that are mostly housekeeping. This result explains why only a small fraction of genes are affected by the loss of long-range chromatin interactions due to cohesin depletion. Remarkably, RAD21 depletion appeared to up-regulate genes located in early initiation zones (EIZ) of DNA replication, and the EIZ signals were amplified drastically without RAD21. Our results revealed new mechanistic insights of cohesin's multifaceted roles in establishing transcriptional loops, preserving long-range chromatin interactions for cell-specific genes, and maintaining timely order of DNA replication.

Childhood abuse and craving in methamphetamine-dependent individuals: the mediating role of alexithymia.

Individuals with a history of childhood abuse (CA, including neglect and abuse by caregivers before the age of 18 years) have more severe substance dependence problems than those without a history of childhood abuse. However, whether a history of CA exacerbates craving and the mechanism of this effect remain largely unknown. The aim of this study was to explore the role of alexithymia in the effects of CA on craving in a large sample of methamphetamine-dependent individuals based on latent vulnerability theory. A total of 324 methamphetamine-dependent individuals who met DSM-5 criteria for substance use disorder were recruited. CA, alexithymia, and craving data were collected from the Childhood Trauma Questionnaire, the Toronto Alexithymia Scale-20, and the Obsessive Compulsive Drug Use Scale, respectively. t tests and ANCOVA were conducted to compare variables between the CA and non-CA groups, while partial correlation and mediation analyses were conducted to examine the potential mediating role of alexithymia in the relationship between CA and craving. Abused methamphetamine-dependent individuals reported higher levels of craving and higher levels of alexithymia than those of non-abused methamphetamine-dependent individuals. Alexithymia partially mediated the link between CA and craving, especially the effect of CA on craving frequency was fully mediated by alexithymia. Our findings reveal that a history of childhood abuse has a lasting effect on craving in stimulant-dependent individuals, and alexithymia contributes to some extent to the severity of substance abuse problems in abused methamphetamine-dependent individuals.

Venetoclax plus a hypomethylating agent versus cytarabine, aclarubicin, and granulocyte colony-stimulating factor chemotherapy as a first-line therapy for newly diagnosed acute myeloid leukemia: A propensity score-matched analysis.

BACKGROUND: Both venetoclax plus a hypomethylating agent (VEN/HMA) and cytarabine, aclarubicin, and granulocyte colony-stimulating factor (CAG) are low-intensity regimens for older patients with acute myeloid leukemia (AML) that show good efficacy and safety. It is unknown how VEN/HMA compares with the CAG regimen for the treatment of newly diagnosed AML. METHODS: The outcomes of patients with newly diagnosed AML treated with VEN/HMA were compared with those of patients treated with a CAG-based regimen. Propensity score matching between these two cohorts at a 1:1 ratio was performed according to age at diagnosis, sex, Eastern Cooperative Oncology Group performance status, state of fitness, and European LeukemiaNet (ELN) 2022 risk stratification to minimize bias. RESULTS: A total of 84 of 96 patients in the VEN/HMA cohort were matched with 84 of 147 patients in the CAG cohort. VEN/HMA resulted in a better response than the CAG-based regimens, as indicated by a higher composite complete remission (CRc) rate (82.1% vs. 60.7%; p = .002) and minimal residual disease negativity rate (88.2% vs. 68.2%; p = .009). In patients with an ELN adverse risk, VEN/HMA was associated with a higher CRc rate compared to CAG (80.5% vs. 58.3%; p = .006). VEN/HMA was associated with longer event-free survival (EFS) (median EFS, not reached vs. 4.5 months; p = .0004), whereas overall survival (OS) was comparable between the two cohorts (median OS, not reached vs. 18 months; p = .078). CONCLUSIONS: The VEN/HMA regimen may result in a better response than CAG-based treatment in older patients with newly diagnosed AML.

Artificial Intelligence-Powered Construction of a Microbial Optimal Growth Temperature Database and Its Impact on Enzyme Optimal Temperature Prediction.

Accurate prediction of enzyme optimal temperature (Topt) is crucial for identifying enzymes suitable for catalytic functions under extreme bioprocessing conditions. The optimal growth temperature (OGT) of microorganisms serves as a key indicator for estimating enzyme Topt, reflecting an evolutionary temperature balance between enzyme-catalyzed reactions and the organism's growth environments. Existing OGT databases, collected from culture collection centers, often fall short as culture temperature does not precisely represent the OGT. Models trained on such databases yield inadequate accuracy in enzyme Topt prediction, underscoring the need for a high-quality OGT database. Herein, we developed AI-based models to extract the OGT information from the scientific literature, constructing a comprehensive OGT database with 1155 unique organisms and 2142 OGT values. The top-performing model, BioLinkBERT, demonstrated exceptional information extraction ability with an EM score of 91.00 and an F1 score of 91.91 for OGT. Notably, applying this OGT database in enzyme Topt prediction achieved an R2 value of 0.698, outperforming the R2 value of 0.686 obtained using culture temperature. This emphasizes the superiority of the OGT database in predicting the enzyme Topt and underscores its pivotal role in identifying enzymes with optimal catalytic temperatures.

A Novel Zero-Velocity Interval Detection Algorithm for a Pedestrian Navigation System with Foot-Mounted Inertial Sensors.

The zero-velocity update (ZUPT) algorithm is a pivotal advancement in pedestrian navigation accuracy, utilizing foot-mounted inertial sensors. Its key issue hinges on accurately identifying periods of zero-velocity during human movement. This paper introduces an innovative adaptive sliding window technique, leveraging the Fourier Transform to precisely isolate the pedestrian's gait frequency from spectral data. Building on this, the algorithm adaptively adjusts the zero-velocity detection threshold in accordance with the identified gait frequency. This adaptation significantly refines the accuracy in detecting zero-velocity intervals. Experimental evaluations reveal that this method outperforms traditional fixed-threshold approaches by enhancing precision and minimizing false positives. Experiments on single-step estimation show the adaptability of the algorithm to motion states such as slow, fast, and running. Additionally, the paper demonstrates pedestrian trajectory localization experiments under a variety of walking conditions. These tests confirm that the proposed method substantially improves the performance of the ZUPT algorithm, highlighting its potential for pedestrian navigation systems.

Patient Versus Physician Perspective in the Management of Chronic Myeloid Leukemia During Treatment with Tyrosine Kinase Inhibitors.

INTRODUCTION: Chronic myeloid leukemia (CML) is a chronic disease with treatment-free remission (TFR) increasingly regarded as a feasible goal of treatment. However, various factors may influence adherence to international guidelines for CML management. This study aimed to compare the reporting of care between patients with CML and their treating doctors. METHODS: Parallel patient and physician online surveys were conducted between September 22, 2021, and March 15, 2022, which focused on the perceptions of 1882 adult patients with CML and 305 physicians regarding tyrosine kinase inhibitor (TKI) treatment options, monitoring and toxicities, TFR, and challenges faced. RESULTS: Among the enrolled patients, 69.9% received first-line imatinib treatment, 18.6% received nilotinib, and 4.7% received dasatinib. Among the patients treated with imatinib, 36.7% switched to other TKIs due to imatinib resistance/intolerance (71.1%), exploration of more potent TKIs to achieve TFR (8.9%), and treating physicians' recommendation (14.0%), with a median duration of initial treatment of 14 months [interquartile range (IQR) 6-36]. Most (91.8%) physicians agreed that the breakpoint cluster region-Abelson 1 (BCR::ABL1) transcript level should be assessed every 3 months, but only 42.7% of individuals committed to 3-monthly testing and only 17.8% strictly followed their treating physicians' recommendation. Half of the patients aimed for TFR; however, just 45.2% of physicians considered TFR as one of the top three goals for their patients. The major concern in obtaining TFR was patients' adherence. Fatigue was often distressing for patients with TKIs, while physicians were more concerned about platelet and neutrophil counts. A total of 12% and 20.8% of patients reported moderate/severe anxiety and depression, respectively, while only 53.7% of physicians had concerns about their patients' mental health. During the coronavirus disease 2019 (COVID-19) pandemic, 69.2% of patients reported a reduction in their income. Among these patients, 61.8% maintained their current treatment, while 7.3% switched to cheaper alternatives or discontinued treatment, with over 80% of these patients belonging to the low-income group. CONCLUSIONS: Overcoming challenges in patient-physician communication and treatment access is key to improving disease management and quality of life, especially for patients with low income. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT05092048.

Effect of laparoscopic sleeve gastrectomy on related variables of obesity complicated with polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is closely related to obesity, and weight loss can significantly improve the metabolic, endocrine and reproductive functions of obese individuals with PCOS. However, the efficacy of laparoscopic sleeve gastrectomy (LSG) for obesity with PCOS are unclear. AIM: The purpose of the study was to investigate the effect of LSG on related variables in obese patients with PCOS. METHODS: A retrospective analysis was performed on 32 obese patients with PCOS who received LSG treatment at the Third Hospital of Shanxi Medical University from 2013 to 2020. The changes in anthropometric indices, insulin, testosterone, estradiol, follicle stimulating hormone (FSH), luteinizing hormone (LH), menstrual cycle and LH/FSH ratio before and 1 mo, 3 mo, 6 mo and 12 mo after the operation were statistically analyzed. RESULTS: At 1 mo, 3 mo, 6 mo and 12 mo after surgery, the anthropometric indices, such as body weight and body mass index, of all patients were lower than those before the operation. The percentage excess weight loss (EWL%) at 1 mo, 3 mo, 6 mo and 1 year of follow-up were 25, 40, 46 and 65, respectively. The PCOS-related indices, such as insulin, testosterone, estradiol, follicle stimulating hormone (FSH), luteinizing hormone (LH) and menstrual cycle, were improved to varying degrees. During the 1-year follow-up, the average serum testosterone decreased from preoperative 0.72 ng/mL to 0.43 ng/mL (P < 0.05), average fasting insulin level (9.0 mIU/mL, preoperative 34.2 mil, LH level, 4.4 mIU/mL, preoperative 6.1 mIU/mL). The level of FSH (3.8 U/L, 4.8 U/p0.05) and the ratio of LH/FSH (0.7, 1.3/p0.05) were more relieved than those before surgery. During the postoperative follow-up, it was found that the menstrual cycle of 27 patients (nasty 27) returned to normal, and 6 patients (18%) who intended to become pregnant became pregnant within 1 year after surgery. CONCLUSION: The weight loss effect of LSG is obvious and affirmative, and the endocrine index of obese patients with PCOS is also improved to some extent, although the mechanism is not clear. Laparoscopic sleeve gastrectomy is expected to become a backup choice for patients with polycystic ovaries in the future.

Research progress on the relationship between bile acid metabolism and type 2 diabetes mellitus.

Bile acids, which are steroid molecules originating from cholesterol and synthesized in the liver, play a pivotal role in regulating glucose metabolism and maintaining energy balance. Upon release into the intestine alongside bile, they activate various nuclear and membrane receptors, influencing crucial processes. These bile acids have emerged as significant contributors to managing type 2 diabetes mellitus, a complex clinical syndrome primarily driven by insulin resistance. Bile acids substantially lower blood glucose levels through multiple pathways: BA-FXR-SHP, BA-FXR-FGFR15/19, BA-TGR5-GLP-1, and BA-TGR5-cAMP. They also impact blood glucose regulation by influencing intestinal flora, endoplasmic reticulum stress, and bitter taste receptors. Collectively, these regulatory mechanisms enhance insulin sensitivity, stimulate insulin secretion, and boost energy expenditure. This review aims to comprehensively explore the interplay between bile acid metabolism and T2DM, focusing on primary regulatory pathways. By examining the latest advancements in our understanding of these interactions, we aim to illuminate potential therapeutic strategies and identify areas for future research. Additionally, this review critically assesses current research limitations to contribute to the effective management of T2DM.

Development and validation of a new risk assessment model for immunomodulatory drug-associated venous thrombosis among Chinese patients with multiple myeloma.

BACKGROUND: Individuals with multiple myeloma (MM) receiving immunomodulatory drugs (IMiDs) are at risk of developing venous thromboembolism (VTE), a serious complication. There is no established clinical model for predicting VTE in the Chinese population. We develop a new risk assessment model (RAM) for IMiD-associated VTE in Chinese MM patients. METHODS: We retrospectively selected 1334 consecutive MM patients receiving IMiDs from 16 medical centers in China and classified them randomly into the derivation and validation cohorts. A multivariate Cox regression model was used for analysis. RESULTS: The overall incidence of IMiD-related VTE in Chinese MM patients was 6.1%. Independent predictive factors of VTE (diabetes, ECOG performance status, erythropoietin-stimulating agent use, dexamethasone use, and VTE history or family history of thrombosis) were identified and merged to develop the RAM. The model identified approximately 30% of the patients in each cohort at high risk for VTE. The hazard ratios (HRs) were 6.08 (P < 0.001) and 6.23 (P < 0.001) for the high-risk subcohort and the low-risk subcohort, respectively, within both the derivation and validation cohorts. The RAM achieved satisfactory discrimination with a C statistic of 0.64. The stratification approach of the IMWG guidelines yielded respective HRs of 1.77 (P = 0.053) and 1.81 (P = 0.063). The stratification approach of the SAVED score resulted in HRs of 3.23 (P = 0.248) and 1.65 (P = 0.622), respectively. The IMWG guideline and the SAVED score-based method yielded C statistics of 0.58 and 0.51, respectively. CONCLUSIONS: The new RAM outperformed the IMWG guidelines and the SAVED score and could potentially guide the VTE prophylaxis strategy for Chinese MM patients.

EagleC Explorer: A desktop application for interactively detecting and visualizing SVs and enhancer hijacking on Hi-C contact maps.

It has been shown that Hi-C can be used as a powerful tool to detect structural variations (SVs) and enhancer hijacking events. However, there has been no existing programs that can directly visualize and detect such events on a personal computer, which hinders the broad adaption of the technology for intuitive discovery in cancer studies. Here, we introduce the EagleC Explorer, a desktop software that is specifically designed for exploring Hi-C and other chromatin contact data in cancer genomes. EagleC Explorer has a set of unique features, including 1) conveniently visualizing global and local Hi-C data; 2) interactively detecting SVs on a Hi-C map for any user-selected region on screen within seconds, using a deep-learning model; 3) reconstructing local Hi-C map surrounding user-provided SVs and generating publication-quality figures; 4) detecting enhancer hijacking events for any user-suggested regions on screen. In addition, EagleC Explorer can also incorporate other genomic tracks such as RNA-Seq or ChIP-Seq to facilitate scientists for integrative data analysis and making novel discoveries.

Current status and outlook of minimally invasive treatment for leiomyomas.

OBJECTIVES: Leiomyomas are benign, highly prevalent gynecologic conditions that can cause abnormal uterine bleeding, pelvic pain, urinary difficulties, and/or bladder or rectal obstruction. With advances in medical technology, women are increasingly interested in treatments that avoid surgery and/or preserve the uterus, which has undoubtedly contributed to the development of minimally invasive approaches. This article reviews the literature and evaluates the effectiveness and safety of minimally invasive approaches for the treatment of leiomyomas and describes the current state of development of minimally invasive treatment modalities for leiomyomas. MATERIAL AND METHODS: Web of Science and PubMed were systematically evaluated using the following keywords: uterine artery embolization, high-intensity focused ultrasound, microwave ablation, radiofrequency ablation, myomectomy, hysterectomy, leiomyomas, fertility. English abstracts relevant to the topic were selected and full-text articles were carefully analyzed. RESULTS: Uterine artery embolization is an effective treatment modality that has been widely validated, and the remaining means each have their distinct advantages in clinical practice, but more practical and comparative studies are needed. Minimally invasive myomectomy and minimally invasive hysterectomy are technically advanced compared to classical open surgery and are widely used due to the completion of practical experience, but a continuous interest in non-invasive minimally invasive treatment modalities is retained. CONCLUSIONS: Minimally invasive treatment modalities for leiomyomas have emerged as an important treatment option when considering patient requirements, and further research and practice are needed to support their development into a mainstream modality for the treatment of leiomyomas.

HiCLift: a fast and efficient tool for converting chromatin interaction data between genome assemblies.

MOTIVATION: With the continuous effort to improve the quality of human reference genome and the generation of more and more personal genomes, the conversion of genomic coordinates between genome assemblies is critical in many integrative and comparative studies. While tools have been developed for such task for linear genome signals such as ChIP-Seq, no tool exists to convert genome assemblies for chromatin interaction data, despite the importance of three-dimensional genome organization in gene regulation and disease. RESULTS: Here, we present HiCLift, a fast and efficient tool that can convert the genomic coordinates of chromatin contacts such as Hi-C and Micro-C from one assembly to another, including the latest T2T-CHM13 genome. Comparing with the strategy of directly remapping raw reads to a different genome, HiCLift runs on average 42 times faster (hours vs. days), while outputs nearly identical contact matrices. More importantly, as HiCLift does not need to remap the raw reads, it can directly convert human patient sample data, where the raw sequencing reads are sometimes hard to acquire or not available. AVAILABILITY AND IMPLEMENTATION: HiCLift is publicly available at https://github.com/XiaoTaoWang/HiCLift.