Circulating tumor cells (CTCs), as the seeds of tumor metastasis, manage to escape from immune clearance both in microen-vironment and in peripheral blood. CTCs can also facilitate formation of pre-existing environment, which is the crucial step in metasta-sis. Myeloid-derived suppressor cells (MDSC), as a group of immunosuppressive cells derived from bone marrow cells, may play a key role in this process. In this review, the progress in MDSC and its role in the formation, survival, and immune escape of CTCs were exten-sively discussed to explore a new target for tumor immunotherapy.

Objective To observe the interference and influence of sample hemolysis on biochemical test results and to make cor-responding countermeasures based on the research results .Methods There were 58 cases of people who underwent physical exami-nation in the hospital .They were selected as study objects .Sample of venous blood was 5 mL in fasting .After natural coagulation and centrifugation ,K+ ,Na+ in blood were measured ,followed by the TP ,CK ,CK-MB ,AST ,ALB ,TG ,HDL ,LDH ,HBDH and other biochemical indexes .Then all indexes mentioned above were detected again after the sample hemolysis of serum ,and analysis results were compared between them .Results Of biochemical indicators detected before and after the determination of hemolysis , there were of statistical significance in the differences in K + ,Na+ ,TP ,CK ,CK-MB ,AST ,LDH and HBDH(P<0 .05);but there were no significant differences in biochemical indicators like ALB ,HDL and TG(P>0 .05) .Through regression analysis ,biochemi-cal indicators such as K + ,Na+ ,TP ,CK ,CK-MB ,AST ,LDH and HBDH were found to be related to hemolysis .Conclusion Sample hemolysis has certain influences on the results of biochemical test in terms of K + ,Na+ ,TP ,CK ,CK-MB ,AST ,LDH and HBDH , which is of certain application value with the proofreading of serum Hb concentration .

Objective To explore the effect of immune senescence on lung cancer metastasis and reveal the mechanism of Fuzheng traditional Chinese medicine Jinfukang in the prevention and treatment of the metastasis. Methods A lung metastasis model of Lewis lung cancer cells was established in C57BL/6 mice with different ages (15 months, 6 months, and 2 months). Mice in the 6-month-old group were given Jinfukang intragastrically for 42 days. Pulmonary metastasis was analyzed by in vivo imaging, anatomical microscopic observation, and HE staining. The proportion of memory T cells and NK cells in peripheral blood was detected by flow cytometry. Results The lung metastatic tumor formation rate of 15-month-old and 6-month-old mice was significantly higher than that of 2-month-old mice (all P < 0.05). Abundance of CD4+T cells in peripheral blood was positively correlated with age (2-month-old vs. 6-month-old, P=0.041; 2-month-old vs.15-month-old, P=0.041; 6-month-old vs.15-month-old, P=0.953). The abundance of NK cells was negatively correlated with age (2-month-old vs. 6-month-old, P=0.009; 2-month-old vs.15-month-old, P=0.009; 6-month-old vs. 15-month-old, P=0.574). However, the survival time of mice in the Jinfukang group was longer (P > 0.05) and the level of NK cells in peripheral blood was significantly higher (P=0.029) than those in the normal saline group. Conclusion Immune senescence can promote the metastasis of lung cancer. The prolongation of the survival time of mice administered with Jinfukang may be related to delaying immune senescence and increasing the number of NK cells.

The immune microenvironment plays a key role in the development and progression of tumors.In recent years,with the rapid advancement of high-throughput sequencing technologies,researchers have gained a deeper under-standing of the composition and function of immune cells in the tumor microenvironment.However,traditional bulk sequenc-ing technologies are limited in resolving heterogeneity at the single-cell level,constraining a comprehensive understanding of the complexity of the tumor microenvironment.The advent of single-cell RNA sequencing technology has brought new opportunities to uncover the heterogeneity of the immune microenvironment in lung cancer.Currently,T-cell-centered im-munotherapy in clinical settings is prone to side effects affecting prognosis,such as immunogenic drug resistance or immune-related pneumonia,with the key factor being changes in the interactions between immune cells and tumor cells in the tumor microenvironment.Single-cell RNA sequencing technology can reveal the origins and functions of different subgroups within the tumor microenvironment from perspectives such as intercellular interactions and pseudotime analysis,thereby discovering new cell subgroups or novel biomarkers,providing new avenues for uncovering resistance to immunotherapy and monitoring therapeutic efficacy.This review comprehensively discusses the newest research techniques and advancements in single-cell RNA sequencing technology for unveiling the heterogeneity of the tumor micro environment after lung cancer immunotherapy,offering insights for enhancing the precision and personalization of immunotherapy.

Based on the concepts of "people-oriented" in traditional Chinese medicine and "tumor-suppression" in modern medicine， we have combed the studies on the spatial and temporal evolution of tumor metastasis and its biological characteristics in different perspectives， and initially proposed the theory of tumor metastasis from the perspective of the dynamic game between the tumor cells and the body's immune system under the theory of the integration of Chinese and Western medicine， that is， the formation of metastasis is the result of the dynamic evolution of the cancer cells and their surrounding environmental factors in the body over time and space. It is believed that the symptomatic manifestation of metastasis is systematic， the triggering factors of metastasis are constant， and the clinical outcome of metastasis is staged. Accordingly， it is proposed to understand the mechanism of metastasis from the perspective of spatial and temporal dynamics， to establish a clinical and pathological model for identifying metastasis， and to reveal the critical point of metastasis， so as to facilitate the change of the research on tumor metastasis from static to dynamic， and provide ideas for the formulation of metastasis prevention and treatment strategies， and the construction of a new system of metastasis prevention and treatment in the clinical tumor field.