1.Expert consensus on neoadjuvant PD-1 inhibitors for locally advanced oral squamous cell carcinoma (2026)
LI Jinsong ; LIAO Guiqing ; LI Longjiang ; ZHANG Chenping ; SHANG Chenping ; ZHANG Jie ; ZHONG Laiping ; LIU Bing ; CHEN Gang ; WEI Jianhua ; JI Tong ; LI Chunjie ; LIN Lisong ; REN Guoxin ; LI Yi ; SHANG Wei ; HAN Bing ; JIANG Canhua ; ZHANG Sheng ; SONG Ming ; LIU Xuekui ; WANG Anxun ; LIU Shuguang ; CHEN Zhanhong ; WANG Youyuan ; LIN Zhaoyu ; LI Haigang ; DUAN Xiaohui ; YE Ling ; ZHENG Jun ; WANG Jun ; LV Xiaozhi ; ZHU Lijun ; CAO Haotian
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(2):105-118
Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.
2.Establishment and preliminary evaluation of a non-invasive fetal M blood group genotyping method by real-time PCR
Shuangshuang JIA ; Chunyan MO ; Ling WEI ; Jizhi WEN ; Runqing ZHANG ; Yanli JI
Chinese Journal of Blood Transfusion 2026;39(4):493-500
Objective: To establish a method for the genotyping of fetal M blood group antigen by extracting cell-free fetal DNA (cff-DNA) from maternal plasma, so as to guide the management of M antigen-negative pregnant women with IgG anti-M antibody during pregnancy. Methods: A realtime fluorescent quantitative PCR (realtime PCR) method was established. The specificity and sensitivity of the method were validated by dilution of genomic DNA. Subsequently, a total of 12 M antigen-negative pregnant women were enrolled. The cff-DNA was extracted from maternal plasma, and fetal M antigen genotyping was performed by realtime PCR. Fetuses were classified as M-positive or M-negative according to the presence or absence of amplification curve. The accuracy of the method was validated by comparing fetal M antigen genotyping results with the serological results using the cord or peripheral blood of the neonate at birth. Results: Among the 12 M antigen-negative pregnant women, anti-M was detected in five cases, of which four cases had IgG anti-M, and one case had fetal anemia. The results of fetal M antigen genotyping showed that 9 cases were M-positive (9/12, 75%) and 3 cases were M-negative (3/12, 25%). Serological results of blood samples collected after birth from four M-positive fetuses and one M-negative fetus were consistent with the genotyping results. Conclusion: We have, for the first time, established a non-invasive prenatal genotyping method for fetal M antigen using maternal plasma cff-DNA, and preliminarily demonstrated the feasibility of this method.
3.Network meta-analysis of first-line treatment of metastatic colorectal cancer with different chemotherapy combination regimens
Xiaoqing ZHANG ; Shuai LIU ; Kai ZHANG ; Beibei JI ; Wei LUAN
China Pharmacy 2025;36(17):2197-2204
OBJECTIVE To systematically evaluate the efficacy and safety of different chemotherapy combination regimens for first-line treatment of metastatic colorectal cancer (mCRC). METHODS PubMed, Cochrane Library, Embase and Web of Science were electronically searched to collect randomized controlled clinical trial (RCT) on first-line treatment for mCRC from January 1, 2000 to February 16, 2025. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Network meta-analysis was performed by using R4.4.3 and Stata 17.0 software. RESULTS A total of 28 RCTs, involving 16 intervention measures, were included. In terms of prolonging progression-free survival (PFS) and overall survival (OS), FOLFOX (5-fluorouracil+oxaliplatin+calcium folinate regimen)+cetuximab had the highest probability of ranking first. In terms of improving objective response rate (ORR), FOLFOXIRI (5-fluorouracil+oxaliplatin+irinotecan+calcium folinate regimen)+ bevacizumab and FOLFOX+bevacizumab+nivolumab had the highest probability of ranking first; in terms of the incidence of grade 3 or higher adverse reactions, FOLFOXIRI+panitumumab had the highest probability of ranking first; in subgroup analysis of KRAS wild-type patients, FOLFIRI (5-fluorouracil+irinotecan+calcium folinate regimen)+panitumumab and FOLFIRI+bevacizumab had the highest probability of ranking first in terms of prolonging PFS and OS, respectively; in terms of ORR, FOLFOXIRI+ cetuximab had the highest probability of ranking first. CONCLUSIONS In first-line treatment for mCRC, FOLFOX combined with targeted therapy has advantages in terms of efficacy and safety. However, individualized treatment strategies should be formulated based on the KRAS gene status and tumor location of patients.
4.Trend in disease burden of lung cancer in cancer registration areas of Guizhou Province from 2017 to 2021
ZHOU Jie ; ZHANG Ji ; JI Wei ; REN Yujin ; WU Yanli ; LI Ling
Journal of Preventive Medicine 2025;37(10):985-990
Objective:
To investigate trends of incidence, mortality, and years of life lost (YLL) rate of lung cancer in cancer registration areas of Guizhou Province from 2017 to 2021, so as to provide references for formulating lung cancer prevention and control strategies and reducing the disease burden of lung cancer.
Methods:
The qualified lung cancer registration data from cancer registration areas of Guizhou Province from 2017 to 2021 were collected, the crude incidence and mortality of lung cancer were calculated by urban/rural areas, genders and ages. The standardized incidence and standardized mortality was calculated using the age structure of the standard population from the Fifth National Population Census in 2000. YLL was calculated using the standard life table from the Global Burden of Disease Study 2019. The disease burden of lung cancer was assessed using incidence, mortality, and YLL rate, and the trend in the disease burden of lung cancer from 2017 to 2021 was calculated using annual percent change (APC).
Results :
From 2017 to 2021, the crude incidence, standardized incidence, crude mortality, standardized mortality, YLL and YLL rate in Guizhou Province were 53.13/100 000, 37.58/100 000, 42.77/100 000, 29.44/100 000, 98.19 thousand person-years and 10.95‰, respectively. The standardized incidence and standardized mortality of lung cancer were higher in rural areas than in urban areas (39.45/100 000 vs. 34.23/100 000, 30.68/100 000 vs. 27.18/100 000). The standardized incidence and standardized mortality of lung cancer were higher in males than in females (49.34/100 000 vs. 26.47/100 000, 41.31/100 000 vs. 18.28/100 000). The crude incidence and crude mortality of lung cancer increased with age, peaking in the 80-<85 age group (360.84/100 000) and the ≥85 age group (414.85/100 000), respectively. From 2017 to 2021, the standardized incidence demonstrated downward trends in the total population, urban areas and males (APC=-6.590%, -5.829%, and -6.729%, all P<0.05). The standardized mortality demonstrated downward trends in urban areas and females (APC=-3.710% and -5.378%, both P<0.05). The YLL rate also showed downward trends in urban areas and females (APC=-3.957% and -3.631%, both P<0.05).
Conclusions
From 2017 to 2021, the overall disease burden of lung cancer in registration areas of Guizhou Province showed a decreasing trend. However, the disease burden remained relatively heavier in rural areas and males, with a relatively gradual change.
5.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
6.Guidelines for the diagnosis and treatment of prurigo nodularis.
Li ZHANG ; Qingchun DIAO ; Xia DOU ; Hong FANG ; Songmei GENG ; Hao GUO ; Yaolong CHEN ; Chao JI ; Chengxin LI ; Linfeng LI ; Jie LI ; Jingyi LI ; Wei LI ; Zhiming LI ; Yunsheng LIANG ; Jianjun QIAO ; Zhiqiang SONG ; Qing SUN ; Juan TAO ; Fang WANG ; Zhiqiang XIE ; Jinhua XU ; Suling XU ; Hongwei YAN ; Xu YAO ; Jianzhong ZHANG ; Litao ZHANG ; Gang ZHU ; Fei HAO ; Xinghua GAO
Chinese Medical Journal 2025;138(22):2859-2861
7.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
8.Randomized, double-blind, parallel-controlled, multicenter, equivalence clinical trial of Jiuwei Xifeng Granules(Os Draconis replaced by Ostreae Concha) for treating tic disorder in children.
Qiu-Han CAI ; Cheng-Liang ZHONG ; Si-Yuan HU ; Xin-Min LI ; Zhi-Chun XU ; Hui CHEN ; Ying HUA ; Jun-Hong WANG ; Ji-Hong TANG ; Bing-Xiang MA ; Xiu-Xia WANG ; Ai-Zhen WANG ; Meng-Qing WANG ; Wei ZHANG ; Chun WANG ; Yi-Qun TENG ; Yi-Hui SHAN ; Sheng-Xuan GUO
China Journal of Chinese Materia Medica 2025;50(6):1699-1705
Jiuwei Xifeng Granules have become a Chinese patent medicine in the market. Because the formula contains Os Draconis, a top-level protected fossil of ancient organisms, the formula was to be improved by replacing Os Draconis with Ostreae Concha. To evaluate whether the improved formula has the same effectiveness and safety as the original formula, a randomized, double-blind, parallel-controlled, equivalence clinical trial was conducted. This study enrolled 288 tic disorder(TD) of children and assigned them into two groups in 1∶1. The treatment group and control group took the modified formula and original formula, respectively. The treatment lasted for 6 weeks, and follow-up visits were conducted at weeks 2, 4, and 6. The primary efficacy endpoint was the difference in Yale global tic severity scale(YGTSS)-total tic severity(TTS) score from baseline after 6 weeks of treatment. The results showed that after 6 weeks of treatment, the declines in YGTSS-TSS score showed no statistically significant difference between the two groups. The difference in YGTSS-TSS score(treatment group-control group) and the 95%CI of the full analysis set(FAS) were-0.17[-1.42, 1.08] and those of per-protocol set(PPS) were 0.29[-0.97, 1.56], which were within the equivalence boundary [-3, 3]. The equivalence test was therefore concluded. The two groups showed no significant differences in the secondary efficacy endpoints of effective rate for TD, total score and factor scores of YGTSS, clinical global impressions-severity(CGI-S) score, traditional Chinese medicine(TCM) response rate, or symptom disappearance rate, and thus a complete evidence chain with the primary outcome was formed. A total of 6 adverse reactions were reported, including 4(2.82%) cases in the treatment group and 2(1.41%) cases in the control group, which showed no statistically significant difference between the two groups. No serious suspected unexpected adverse reactions were reported, and no laboratory test results indicated serious clinically significant abnormalities. The results support the replacement of Os Draconis by Ostreae Concha in the original formula, and the efficacy and safety of the modified formula are consistent with those of the original formula.
Adolescent
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Child
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Child, Preschool
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Female
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Humans
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Male
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Double-Blind Method
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Drugs, Chinese Herbal/therapeutic use*
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Tic Disorders/drug therapy*
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Treatment Outcome
9.Scientific connotation of "blood stasis toxin" in hypoxic microenvironment: its "soil" function in tumor progression and micro-level treatment approaches.
Wei FAN ; Yuan-Lin LYU ; Xiao-Chen NI ; Kai-Yuan ZHANG ; Chu-Hang WANG ; Jia-Ning GUO ; Guang-Ji ZHANG ; Jian-Bo HUANG ; Tao JIANG
China Journal of Chinese Materia Medica 2025;50(12):3483-3488
The tumor microenvironment is a crucial factor in tumor occurrence and progression. The hypoxic microenvironment is widely present in tumor tissue and is a key endogenous factor accelerating tumor deterioration. The "blood stasis toxin" theory, as an emerging perspective in tumor research, is regarded as the unique "soil" in tumor progression from the perspective of traditional Chinese medicine(TCM) due to its dynamic evolution mechanism, which closely resembles the formation of the hypoxic microenvironment. Scientifically integrating TCM theories with the biological characteristics of tumors and exploring precise syndrome differentiation and treatment strategies are key to achieving comprehensive tumor prevention and control. This article focused on the hypoxic microenvironment of the tumor, elucidating its formation mechanisms and evolutionary processes and carefully analyzing the internal relationship between the "blood stasis toxin" theory and the hypoxic microenvironment. Additionally, it explored the interaction among blood stasis, toxic pathogens, and hypoxic environment and proposed micro-level prevention and treatment strategies targeting the hypoxic microenvironment based on the "blood stasis toxin" theory, aiming to provide TCM-based theoretical support and therapeutic approaches for precise regulation of the hypoxic microenvironment.
Humans
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Tumor Microenvironment/drug effects*
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Neoplasms/therapy*
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Animals
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Medicine, Chinese Traditional
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Disease Progression
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Drugs, Chinese Herbal
10.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
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Quality Control
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Medicine, Chinese Traditional/standards*
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Humans


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