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.     

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。     

原发性肝癌患者手术切除术后早期复发影响因素分析

目的:探究原发性肝癌患者手术切除术后早期复发影响因素分析。方法:对广州市番禺区中医院2017年2月-2019年2月收治的原发性肝癌患者98例进行回顾性分析,依据各项临床指标分析手术切除术后早期复发的影响因素。结果:原发性肝癌患者经由手术切除后出现复发的可能性较高,同时手术切缘有残留、包膜不完整、肿瘤结节、心理因素、甲胎蛋白、血管侵犯、肝硬化及肿瘤直径等均是影响原发性肝癌手术期后再复发的高危因素。结论:原发性肝癌通常具有术后复发的生物学特性,依据对手术切除术之后早期复发因素的分析,对手术风险与治疗方案进行充分评估,同时要求患者进行定期复查及随访等工作,可对患者手术成功以及并发症的防治等均具有积极意义。     

从TaTME发展看直肠癌微创外科治疗进步

随着科学技术的进步和对疾病本身认识的深入，直肠癌的外科治疗从局部切除到全直肠系膜切除（TME），从开放手术到腹腔镜手术，再从腹腔镜手术到机器人手术，目前已经进入微创时代。在此时代背景下，经肛门全直肠系膜切除（TaTME） 应运而生。正如TME的提出者Heald所言：“TaTME是近30年直肠癌外科治疗技术的集大成者”，其发展的每一个阶段都有很强的代表性，已成为直肠癌微创外科治疗技术进步发展的一个缩影。     

宫颈环形电切术对阴道镜活检诊断为宫颈上皮内瘤变的再评估

目的通过宫颈环形电切术(LEEP)对阴道镜活检诊断为宫颈上皮内瘤变(C IN)的准确性和全面性进行评估。方法对118例阴道镜活检诊断为C IN的患者行LEEP,对比术前术后的病理结果。结果32例阴道镜活检病理为C INⅠ级病例中有11例与LEEP术病理相符,6例LEEP术后病理级别上升,15例LEEP术后病理级别下降;26例阴道镜活检病理C INⅡ级病例中有17例LEEP术后病理示相符,5例LEEP术后病理级别上升,4例LEEP术后病理级别下降;60例阴道镜活检病理为C INⅢ级病例中有44例LEEP术后病理示相符,11例LEEP术后病理级别上升,5例术后病理级别下降。结论LEEP术是明确诊断和治疗C IN的有效而理想的方法,阴道镜活检有一定局限性。