China special issue on gastrointestinal tumors-Radiological features of pathological complete response in mismatch repair deficient colorectal cancer after neoadjuvant PD-1 blockade: A post hoc analysis of the PICC phase II trial

Neoadjuvant programmed cell death protein 1 (PD-1) blockade exhibits promising efficacy in patients with mismatch repair deficient (dMMR) colorectal cancer (CRC). However, discrepancies between radiological and histological findings have been reported in the PICC phase II trial (NCT 03926338). Therefore, we strived to discern radiological features associated with pathological complete response (pCR) based on computed tomography (CT) images. Data were obtained from the PICC trial that included 36 tumors from 34 locally advanced dMMR CRC patients, who received neoadjuvant PD-1 blockade for 3 months. Among the 36 tumors, 28 (77.8%) tumors achieved pCR. There were no statistically significant differences in tumor longitudinal diameter, the percentage change in tumor longitudinal diameter from baseline, primary tumor sidedness, clinical stage, extramural venous invasion status, intratumoral calcification, peritumoral fat infiltration, intestinal fistula and tumor necrosis between the pCR and non-pCR tumors. Otherwise, tumors with pCR had smaller posttreatment tumor maximum thickness (median: 10 mm vs 13 mm, P = .004) and higher percentage decrease in tumor maximum thickness from baseline (52.9% vs 21.6%, P = .005) compared to non-pCR tumors. Additionally, a higher proportion of the absence of vascular sign (P = .003, odds ratio [OR] = 25.870 [95% CI, 1.357-493.110]), nodular sign (P < .001, OR = 189.000 [95% CI, 10.464-3413.803]) and extramural enhancement sign (P = .003, OR = 21.667 [2.848-164.830]) was observed in tumors with pCR. In conclusion, these CT-defined radiological features may have the potential to serve as valuable tools for clinicians in identifying patients who have achieved pCR after neoadjuvant PD-1 blockade, particularly in individuals who are willing to adopt a watch-and-wait strategy.     

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

IntroductionPredicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for pCR could be detected from WSIs.Materials and methodsWe retrospectively collected data from four cohorts of 874 patients diagnosed with biopsy-proven breast cancer. A deep learning pathological model (DLPM) was constructed to predict pCR using biopsy WSIs in the primary cohort, and it was then validated in three external cohorts. The DLPM could generate a deep learning pathological score (DLPs) for each patient; stromal tumor-infiltrating lymphocytes (TILs) were selected for comparison with DLPs.ResultsThe WSI feature-based DLPM showed good predictive performance with the highest area under the curve (AUC) of 0.72 among the cohorts. Alternatively, the combination of the DLPM and clinical characteristics offered a better prediction performance (AUC >0.70) in all cohorts. We also evaluated the performance of DLPM in three different breast subtypes with the best prediction for the triple-negative breast cancer (TNBC) subtype (AUC: 0.73). Moreover, DLPM combined with clinical characteristics and stromal TILs achieved the highest AUC in the primary cohort (AUC: 0.82) and validation cohort 1 (AUC: 0.80).ConclusionOur study suggested that WSIs integrated with deep learning could potentially predict pCR to NAC in breast cancer. The predictive performance will be improved by combining clinical characteristics. DLPs from DLPM can provide more information compared to stromal TILs for pCR prediction.     

2010年-2018年甲状腺结节相关SCI论文知识图谱及数据可视化分析

目的:分析2010年至2018年甲状腺结节相关SCI论文，并建模进行定性与定量分析。方法:利用文献计量学中的引文分析、共被引分析、数据可视化、聚类分析等方法，使用CiteSpace分析工具，分析来源于Web of ScienceTM核心合集数据库中有关论文的出版情况、国家、机构、作者、知识基础与研究热点。结果:到2018年10月31日截止，研究了4 618篇论文。发表论文数:美国在国家/地区中排名第一，延世大学在研究机构中排名第一，Kwak JY在所有作者中排名第一。从2010年开始，每年发表的论文数量都在稳步增长，有相当多的论文发表在如《新英格兰杂志》、《THYROID》、《JAMA》、《CELL》等高影响因子的期刊上。甲状腺结节的SCI论文参考文献聚类为6类，分别是papillary-like nuclear feature、current statu、radiofrequency ablation、ultrasound elastography、goiter area、data system。代表研究前沿的关键词是meta-analysis、recommendation、thyroid carcinoma、shear wave elastography与bethesda system。结论:本文通过对国际上甲状腺结节的研究基础、研究热点的分析，阐述了甲状腺结节的研究趋势，为我国医学工作者的研究提供参考。     

8周基础军训对入伍新兵红细胞及其相关指标的影响

目的探讨8周基础军训(basic military training,BMT)对入伍新兵血像中红细胞及其相关指标的影响,为指导科学的军事训练提供参考。方法数据来自新疆边防部队2015年度入伍的50名男性新兵,分别在BMT前后测定并记录受试新兵的红细胞计数、血红蛋白浓度及血清铁蛋白等。结果经过8周的BMT,新兵血液中血红蛋白浓度、红细胞计数及血清铁蛋白均显著下降(P0.05,P0.01)。结论 8周BMT可能导致入伍新兵发生运动性贫血,铁缺乏可能是其主要原因。     

河南省1例柬埔寨输入登革热病例的病原分子分型与全基因序列分析

目的鉴定河南省1例来自柬埔寨的登革热输入性病例的登革病毒(dengue virus,DENV)血清型和基因型及其序列特征和传播来源。方法患者血液标本来源于2019年国家疾病监测系统网络直报的登革热疑似病例。样品经快速检测DENV NS1抗原和IgM/IgG抗体,再提取血清中核酸,应用荧光RT-PCR法进行DENV血清型鉴定,同时用Vero和BHK-21细胞对血清标本进行病毒分离培养,阳性培养物扩增全基因组序列,进行序列系统进化分析。结果该病例实验室确诊为DENV 1型感染,并从血清标本中分离到病毒株,测序后拼接成全长10670 nt的全基因组序列,经系统进化分析,该病毒株属于DENV 1型基因Ⅰ型,与东南亚流行株具有较高同源性和较近亲缘关系。结论2019年河南省来自柬埔寨的输入性病例的病原体为DENV 1型基因I型,此为近年来东南亚输入我国的常见血清型和基因型。     

噬菌体基因组PaP1的鸟枪法测序及其生物信息学分析

目的对分离的铜绿假单胞菌噬菌体PaP1进行全基因组测序，并进行初步的生物信息学分析，为噬菌体的改造及其治疗奠定基础。方法采用鸟枪法随机测序和重叠群组装的策略对PaP1进行基因组测序，并通过EditSeq、开放读码框架（ORF）finder、GeneMark^TM、BPROM、FindTerm、Palindromes、Equicktandem及FAStRNA等软件对所获得的基因组序列的一般特征、蛋白质同源性序列及tRNA基因等进行分析和预测。结果PaP1基因组约为90000bp，其中最大重叠群为28249bp。在已获得序列中预测出120个ORFs、41个推定基因及9个簇集在5’末端的tRNA基因。在41个推定基因中，预测出编码DNA末端酶大亚单位、DNA解旋酶B亚单位、肽聚糖结合蛋白及3个尾丝蛋白等6个基因的功能。结论鸟枪法只能测出噬菌体基因组PaP1的部分序列，重复序列的存在是该基因组测序困难的原因。     

进展期霍奇金病经化疗达完全缓解后,巩固放疗的Meta分析

目的 应用Meta分析的方法评价进展期霍奇金病经化疗达完全缓解后巩固放疗的作用。材料和方法 在MEDLINE、CBMdisc数据库检索进展期霍奇金病化疗达完全缓解行巩固性放疗或不行巩固性放疗的前瞻性随机对照研究。对入选研究的总生存、无事件生存优势比进行Meta分析。结果 4项研究入选，以α=0．05为检验水准，巩固性放疗组与对照组(不作巩固性放疗)相比，5年总生存优势比=1．18，P=0．46；5年无事件生存优势比=1．05．P=0．83：巩固性侵犯野放疗组与对照组相比，5年总生存优势比=0．96，P=0．87。结论 进展期霍奇金病经化疗达到完全缓解后，巩固性放疗对总生存及无事件生存均无益处。     

Complete response, as determined by prostate-specific antigen level, to chlormadinone acetate withdrawal persisting longer than 2 years in patients with advanced prostate cancer: Two case reports

Antiandrogen withdrawal syndrome (AWS) is a well-established phenomenon in prostate cancer. However, responses to AWS are usually of limited duration, and a complete response (CR) is extremely rare. We present two patients who exhibited a chemical CR for more than 2 years after the discontinuation of steroidal antiandrogen chlormadinone acetate use. Whether patients who respond to antiandrogen withdrawal include a group of patients with a better prognosis remains uncertain. However, considering that the usual survival period of patients with hormone-resistant prostate cancer is approximately 12 months, both of the patients reported here, who are present in excellent physical condition, exhibiting an improved quality of life, and attending their hospital as outpatients, obviously acquired a prolonged survival because of AWS.