Abstract 3309: Genomic features, evolutionary patterns, and minimal residual disease at surgical margins as novel prognostic/predictive biomarkers in locally advanced rectal cancer

Background: Locally advanced rectal cancers (LARC) are treated with neoadjuvant chemoradiotherapy (nCRT), total mesorectal excision (TME), and adjuvant chemotherapy, and identifying reliable prognostic/predictive biomarkers is currently warranted for LARC.

Methods: Comprehensive genomic profiling was performed in 76 LARC patients who received nCRT plus TME. All 76 patients had baseline tissue biopsies, 72 had paired baseline tissue biopsies and surgical tumor samples, and 55 had paired surgical tumor and margin samples. Post-nCRT tumor regression grade (TRG) and post-surgical disease-free survival (DFS) were used to assess treatment outcomes.

Results: Baseline KRAS mutation (P=0.022) and MYC amplification (P=0.047) appeared to be independent prognostic factors for nCRT, with KRAS/MYC-mutated patients having higher tumor regression grade (TRG) and lower immune infiltration. Intriguingly, high radiation doses during nCRT were correlated with improved nCRT response in KRAS/MYC-positive patients. Additionally, aberrations in multiple signaling pathways, especially JAK-STAT (P=0.022), were enriched in TRG3 patients after nCRT, implying that they might be resistance mechanisms that impair nCRT efficacy. The post-surgical FBXW7 mutation was significantly associated with shorter disease-free survival (P=0.01), while treatment-induced branched tumor evolutionary pattern and the molecular level of residual tumor at the surgical margin were significantly correlated with both poorer nCRT response and higher post-surgical recurrence risk.

Conclusions: Comprehensive genomic profiling helps identify multiple molecular prognostic and/or predictive biomarkers that could predict patients’ clinical outcomes to nCRT and TME and direct nCRT treatment regimen, thus facilitating more accurate prognostic estimation, a better balance between treatment efficacy and quality of life, and timely adjusted treatment decisions.

Citation Format: Li Li, Kewen He, Aijie Li, Yang Xu, Jiaohui Pang, Dianbin Mu, Jie Ma, Hong Ge, Aurian Maleki, Xueting Qin, Xian Zhang, Qiuxiang Ou, HaiMeng Tang, Yang Shao, Jinming Yu, Shuanghu Yuan. Genomic features, evolutionary patterns, and minimal residual disease at surgical margins as novel prognostic/predictive biomarkers in locally advanced rectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3309.

Clinical study on changes of peripheral blood immune function indicators in adults with newly diagnosed glioblastoma during the peri-radiotherapy period

To analyze the changes of immune function-related indicators with newly diagnosed glioblastoma before and after radiotherapy and their clinical significance. Clinical data of 104 patients were analyzed. The independent samples t-test or chi-square test was used to compare changes in immune function indicators and to ascertain the differences between groups with different doses or volumes. The grading of the lowest lymphocyte count during radiotherapy was compared. The log-rank (Mantel - Cox) test of the Kaplan - Meier method was used to compare the survival rate, and the relationship of radiotherapy-related parameters, with the survival rate was evaluated by using the Spearman correlation coefficient. A Cox regression model was used to determine the relationship between various immune function indicators and prognosis. The percentages of total T lymphocytes and CD4+ T cells, the CD4-to-CD8 subset ratio, and the percentages of B cells and NKT cells showed an overall decreasing trend, whereas the percentages of CD8+ T cells and NK cells displayed an overall increasing trend. The lower CD4+ T cell percentage and CD4/CD8 ratio after radiotherapy were independent risk factors for OS. Short OS was observed in patients with grade 3 or 4 lymphopenia or with low levels of hemoglobin and serum albumin before radiotherapy. The percentage of CD4+ T cells and the CD4/CD8 ratio were higher in patients with the low tumor-irradiated volume and irradiated volume and dose of the OAR, than in patients from the corresponding high indicator group. Different irradiation dose or volume can differentially alter various immune function indicators.

HA15 inhibits binding immunoglobulin protein and enhances the efficacy of radiation therapy in esophageal squamous cell carcinoma

Proteomic profiling is a promising approach to identify novel predictors of radiation response. The present study aimed to identify potential biomarkers of radiation response by serum proteomics in esophageal squamous cell carcinoma (ESCC) patients and find efficacious therapeutic drugs to enhance the efficacy of radiation therapy (RT). Serum binding immunoglobulin protein (BIP) was identified and validated as a treatment response predictor in ESCC patients treated with RT. Novel BIP inhibitor HA15 showed antitumor activity in ESCC cells by viability assay. Tumor cell colony formation and apoptosis assay revealed targeting BIP was associated with significant improvements of radiation sensitivity. Further analyses revealed that HA15 enhanced radiation-induced endoplasmic reticulum (ER) stress and immunogenic cell death (ICD) in ESCC. Clinical data indicated that high expression of BIP was associated with poor survival in patients of ESCC. In conclusion, proteomics analysis suggested BIP was a promising predictor of radiation response in locally advanced ESCC. The BIP inhibitor HA15 acted as an ER stress inducer and ICD stimulator; RT combined with HA15 was effective in suppressing the growth of ESCC in vitro and in vivo. Pretreatment BIP was an essential prognostic biomarker in locally advanced ESCC patients treated with RT.

Genome-Wide Identification of the Rose SWEET Gene Family and Their Different Expression Profiles in Cold Response between Two Rose Species

Sugars Will Eventually be Exported Transporter (SWEET) gene family plays indispensable roles in plant physiological activities, development processes, and responses to biotic and abiotic stresses, but no information is known for roses. In this study, a total of 25 RcSWEET genes were identified in Rosa chinensis 'Old Blush' by genome-wide analysis and clustered into four subgroups based on their phylogenetic relationships. The genomic features, including gene structures, conserved motifs, and gene duplication among the chromosomes of RcSWEET genes, were characterized. Seventeen types of cis-acting elements among the RcSWEET genes were predicted to exhibit their potential regulatory roles during biotic and abiotic stress and hormone responses. Tissue-specific and cold-response expression profiles based on transcriptome data showed that SWEETs play widely varying roles in development and stress tolerance in two rose species. Moreover, the different expression patterns of cold-response SWEET genes were verified by qRT-PCR between the moderately cold-resistant species R. chinensis 'Old Blush' and the extremely cold-resistant species R. beggeriana. Especially, SWEET2a and SWEET10c exhibited species differences after cold treatment and were sharply upregulated in the leaves of R. beggeriana but not R. chinensis 'Old Blush', indicating that these two genes may be the crucial candidates that participate in cold tolerance in R. beggeriana. Our results provide the foundation for function analysis of the SWEET gene family in roses, and will contribute to the breeding of cold-tolerant varieties of roses.

Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy

PURPOSE

The study aimed to predict acute radiation esophagitis (ARE) with grade  ≥ 2 for patients with locally advanced lung cancer (LALC) treated with intensity-modulated radiation therapy (IMRT) using multi-omics features, including radiomics and dosiomics.

METHODS

161 patients with stage IIIA-IIIB LALC who received chemoradiotherapy (CRT) or radiotherapy by IMRT with a prescribed dose from 45 to 70 Gy from 2015 to 2019 were enrolled retrospectively. All the toxicity gradings were given following the Common Terminology Criteria for Adverse Events V4.0. Multi-omics features, including radiomics, dosiomics (including dose-volume histogram dosimetric parameters), were extracted based on the planning CT image and three-dimensional dose distribution. All data were randomly divided into training cohorts (N = 107) and testing cohorts (N = 54). In the training cohorts, features with reliably high outcome relevance and low redundancy were selected under random patient subsampling. Four classification models (using clinical factors (CF) only, using radiomics features (RFs) only, dosiomics features (DFs) only, and the hybrid features (HFs) containing clinical factors, radiomics and dosiomics) were constructed employing the Ridge classifier using two-thirds of randomly selected patients as the training cohort. The remaining patient was treated as the testing cohort. A series of models were built with 30 times training-testing splits. Their performances were assessed using the area under the ROC curve (AUC) and accuracy.

RESULTS

Among all patients, 51 developed ARE grade  ≥ 2, with an incidence of 31.7%. Next, 8990 radiomics and 213 dosiomics features were extracted, and 3, 6, 12, and 13 features remained after feature selection in the CF, DF, RF and DF models, respectively. The RF and HF models achieved similar classification performance, with the training and testing AUCs of 0.796 ± 0.023 (95% confidence interval (CI [0.79, 0.80])/0.744 ± 0.044 (95% CI [0.73, 0.76]) and 0.801 ± 0.022 (95% CI [0.79, 0.81]) (p = 0.74), respectively. The model performances using CF and DF features were poorer, with training and testing AUCs of 0.573 ± 0.026 (95% CI [0.56, 0.58])/ 0.509 ± 0.072 (95% CI [0.48, 0.53]) and 0.679 ± 0.027 (95% CI [0.67, 0.69])/0.604 ± 0.041 (95% CI [0.53, 0.63]) compared with the above two models (p < 0.001), respectively.

CONCLUSIONS

In LALC patients treated with CRT IMRT, the ARE grade  ≥ 2 can be predicted using the pretreatment radiotherapy image features. To predict ARE, the multi-omics features had similar predictability with radiomics features; however, the dosiomics features and clinical factors had a limited classification performance.

Integrated proteomic and phosphoproteomic analysis for characterization of colorectal cancer

Proteins and translationally modified proteins like phosphoproteins have essential regulatory roles in tumorigenesis. This study attempts to elucidate the dysregulated proteins driving colorectal cancer (CRC). To explore the differential proteins, we performed iTRAQ labeling proteomics and TMT labeling phosphoproteomics analysis of CRC tissues and adjacent non-cancerous tissues. The functions of quantified proteins were analyzed using Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and Subcellular localization analysis. Depending on the results, we identified 330 differential proteins and 82 phosphoproteins in CRC. GO and KEGG analyses demonstrated that protein changes were primarily associated with regulating biological and metabolic processes through binding to other molecules. Co-expression relationships between proteomic and phosphoproteomic analysis revealed that TMC5, SMC4, SLBP, VSIG2, and NDRG2 were significantly dysregulated differential proteins. Additionally, based on the predicted co-expression proteins, we identified that the stem-loop binding protein (SLBP) was up-regulated in CRC cells and promoted the proliferation and migration of CRC. This study reports an integrated proteomic and phosphoproteomic analysis of CRC to discern the functional impact of protein alterations and provides a candidate diagnostic biomarker or therapeutic target for CRC. SIGNIFICANCE: Combining one or more high-throughput omics technologies with bioinformatics to analyze biological samples and explore the links between biomolecules and their functions can provide more comprehensive and multi-level insights for disease mechanism research. Proteomics, phosphoproteomics, metabolomics and their combined analysis play an important role in the auxiliary diagnosis, the discovery of biomarkers and novel therapeutic targets for colorectal cancer. In this integrated proteomic and phosphoproteomic analysis, we identified proteins and phosphoproteins in colorectal cancer tissue and analyzed potential mechanisms contributing to progression in colorectal cancer. The results of this study provide a foundation to focus future experiments on the contribution of altered protein and phosphorylation patterns to prevention and treatment of colorectal cancer.

Association of pre-diabetes and type 2 diabetes mellitus with intracranial plaque characteristics in patients with acute ischemic stroke

OBJECTIVES

To investigate the association of pre-diabetes(i.e., the early stages of glucometabolic disturbance) and Type 2 diabetes mellitus (T2DM) with intracranial plaque characteristics in patients with acute ischemic stroke using three-dimensional high-resolution MR imaging.

METHODS

One hundred and forty-three symptomatic patients with acute ischemic stroke attribute to intracranial atherosclerotic plaque were prospectively enrolled. All participants were further divided into three groups: normal glucose metabolism(non-diabetes) group(n = 41), pre-diabetes group(n = 45), and T2DM group(n = 57) according to glucometabolic status. Culprit plaque characteristics (such as plaque burden, normalized wall index and enhancement ratio), total plaque number, and global plaque enhancement score were analyzed and compared among the three glucometabolic groups. The association between pre-diabetes and T2DM with intracranial plaque characteristics was assessed by logistic regression and multivariate linear regression.

RESULTS

Plaque number was higher in patients with pre-diabetes and T2DM compared with those with non-diabetes(3.71 ± 1.83 and 3.75 ± 1.71 vs 2.24 ± 1.46, p = 0.006). Multivariate logistic regression showed a significant association of multiple intracranial plaques with pre-diabetes(OR 3.524, 95% CI 1.082 ~ 11.479, p = 0.037), T2DM(OR 3.760, 95% CI 1.098 ~ 12.872, p = 0.035) and luminal stenotic rate. Both pre-diabetes and T2DM were significantly associated with culprit plaque enhancement ratio(β = 0.527 and β = 0.536; respectively; p < 0.001) and global plaque enhancement score(β = 0.264 and β = 0.373; respectively; p < 0.05).

CONCLUSIONS

Patients with pre-diabetes and T2DM had similar intracranial atherosclerotic plaque vulnerability, as demonstrated by multiple plaques, increased culprit plaque enhancement ratio and global plaque enhancement score.

ADVANCES IN KNOWLEDGE

Pre-diabetes might be a risk factor for intracranial plaque vulnerability. It is necessary to monitor a slight increase in blood glucose in non-diabetes patients with acute ischemic stroke.

Intracranial plaque characteristics on high-resolution MRI and high-sensitivity C-reactive protein levels: association and clinical relevance in acute cerebral infarction

AIM

To investigate the association between intracranial plaque characteristics and high-sensitivity C-reactive protein (hs-CRP) levels, and their combined effects on the occurrence of acute cerebral infarction (ACI).

MATERIALS AND METHODS

One hundred and forty-three patients with recent ischaemic events in the territory of middle cerebral artery or basilar artery were enrolled and divided into the ACI group (n=93) and non-ACI group (n=50) according to clinical data and diffusion-weighting imaging (DWI) results. All recruited patients underwent high-resolution magnetic resonance imaging (MRI) to assess intracranial plaque characteristics, including plaque enhancement, standardised wall index, stenosis ratio, T1 hyperintense component, remodelling pattern, plaque area, plaque burden, and maximum wall thickness. hs-CRP levels were further grouped into the low group (<1 mg/l), the intermediate group (1-3 mg/l), and the high group (≥3 mg/l). Multivariate logistic regression and receiver operating characteristic curve were constructed to evaluate the association between intracranial plaque characteristics and hs-CRP levels, as well as their synergistic effects on determining the occurrence of ACI.

RESULTS

High hs-CRP levels were associated with strong plaque enhancement (p<0.001, odds ratio [OR] = 7.497). Strong plaque enhancement (p=0.002, OR=2.109) and high hs-CRP levels (p=0.009, OR=3.893) were independently associated with the occurrence of ACI after adjustments for sex, age, and other traditional atherosclerotic risk factors. The combination of hs-CRP levels and strong plaque enhancement provided incremental information to determine ACI with an AUC of 0.823, which was significantly higher than that of strong plaque enhancement (0.711) and hs-CRP levels (0.686), respectively.

CONCLUSION

High hs-CRP levels were associated with strong plaque enhancement. The synergistic effects of hs-CRP levels and strong plaque enhancement provided incremental effects on the occurrence of ACI.

Novel small-molecule compound VCP979 attenuates renal fibrosis in male rats with unilateral ureteral obstruction

Renal fibrosis is a hallmark of chronic kidney disease, while efficient therapy against renal fibrosis is still lacking. In this study, we investigated the role of a novel small-molecule compound VCP979 on renal fibrosis and inflammation in a rat model of unilateral ureteral obstruction (UUO). One week after the UUO surgery, rats were administered VCP979 by gavage for one week, and after treatment, magnetic resonance imaging of T1rho mapping and histopathological analysis were performed to evaluate renal fibrosis in vivo and ex vivo. This study showed that treatment with VCP979 effectively reduced renal fibrosis, extracellular matrix accumulation, and alleviated epithelial-mesenchymal transition in UUO rats, as well as improved renal function. In vivo T1rho mapping displayed increased T1rho values in the UUO rats, which was decreased after VCP979 treatment, and a positive correlation was detected between the T1rho values and the percentage of fibrotic area. Moreover, the administration of VCP979 also ameliorated the inflammatory cytokines expression and the infiltration of macrophages in renal tissues. Mechanistically, VCP979 treatment inhibited the activation of p38 mitogen-activated protein kinase, nuclear factor-kappa B, and transforming growth factor-β1/Smads signaling pathways. These results indicated that VCP979 could be an effective therapeutic agent for alleviating renal fibrosis and inflammation in the rat model of UUO via its antifibrotic and anti-inflammatory effects.

cGAS-STING Pathway as the Target of Immunotherapy for Lung Cancer

Immunotherapy has completely changed the treatment pattern of lung cancer and significantly prolonged the overall survival of patients, especially for advanced patients. However, a large number of lung cancer patients are unable to benefit from immunotherapy, which forces us to find new therapeutic targets to overcome drug resistance to immunotherapy. Cyclical GMP-AMP synthetase (cGAS) recognizes cytoplasmic DNA and promotes the formation of cyclical GMP-AMP (cGAMP), activates stimulator of interferon genes (STING), then induces the expression of varieties proinflammatory cytokines and chemokines, and then promotes the cross-presentation of dendritic cells (DCs) and initiates tumor-specific CD8+T cell response, showing great potential to overcome resistance and enhance antitumor immunity. In this review, we describe recent advances in the biological function,activation mode, and current applications of cGAS-STING pathway in lung cancer therapy. We also describe the mechanisms of the inactivation of cGAS-STING pathway in lung cancer cells, hoping to promote the progress of immunotherapy of lung cancer by targeting cGAS-STING pathway.

Study on esophageal cancer radiotherapy dosimetry and position verification for volumetric modulated arc therapy

BACKGROUND

This study analyzed the respective advantages and disadvantages by comparing volumetric modulated arc therapy (VMAT) and intensity modulated radiotherapy (IMRT) on the dose distribution and position verification distribution characteristics in esophageal cancer radiotherapy, in order to provide the reference for the clinical radiotherapy technology optimization of esophageal cancer.

METHODS

A total of 56 cases of patients with esophageal cancer were selected and applied to the Pinnacle three-dimensional radiation treatment planning system (TPS), in order to design a VMAT plan and IMRT plan under the guidance of image-guided radiotherapy (IGRT). The dosimetry and position verification difference were compared between the two groups.

RESULTS

Revealed that the target dose distribution of the VMAT plan and IMRT plan meets the requirements in clinical dosimetry for all 56 patients in this study. Under the premise of similar target coverage, the conformal index (CI) of the VMAT plan, homogeneity index (HI), target volume, BODY-PTV radiated volume and spinal cord D_max, bilateral lung V5, V20 and mean lung dose (MLD), monitor unit (MU) and treatment time (TT), as well as position verification and others, were obviously superior to those in the IMRT plan; and the difference was statistically significant.

CONCLUSION

CBCT guided VMAT is a potential effective treatment for esophageal cancer and may be more effective and safer than IMRT.

Targeting stearoyl-coa desaturase enhances radiation induced ferroptosis and immunogenic cell death in esophageal squamous cell carcinoma

Overcoming resistance to radiation is a major challenge in cancer treatment. Stearoyl-coa desaturase (SCD1) is the enzyme responsible for oleic acid (OA) and palmitoleic acid (POA) formation. Here, we provided evidence that targeting SCD1 was capable of inducing ferroptosis and immunogenic cell death (ICD), thereby improving the radiation sensitivity of esophageal squamous cell carcinoma (ESCC). ESCC cell lines with high SCD1 expression were treated with MF-438 (SCD1 inhibitor) to determine cell viability. Colony formation assay was performed to evaluate the radiation sensitization of SCD1 inhibitor. Tumor cell ferroptosis and ICD was analyzed in MF-438, radiation therapy (RT) and the combination treatment group. The potential molecular mechanisms underlying MF-438 as a novel radiation sensitizer in ESCC were explored. We concluded by assessing SCD1 as a prognostic factor in ESCC. MF-438 exhibited antitumor activity in ESCC cells. Our outcomes revealed significant improvement of radiation sensitivity by MF-438. Moreover, the combination treatment enhanced tumor cell ferroptosis and ICD. Further analyses revealed SCD1 conferred radiation resistance via alleviating ferroptosis in tumor cells; targeting SCD1 inhibited the biosynthesis of OA and POA, and improved radiation induced ferroptosis in ESCC cells. Clinical analysis indicated high expression of SCD1 was associated with unfavorable survival in patients of ESCC. In summary, our results demonstrated that MF-438 acted as a ferroptosis inducer. Targeting SCD1 conferred the immunogenicity of ferroptotic cancer cells and increased the effectiveness of RT in ESCC. SCD1 could be considered as a useful prognostic indicator of survival in ESCC.

Oncogenic role of microRNA-19b-3p-mediated SOCS3 in glioma through activation of JAK-STAT pathway

The altered expression of microRNA (miRNA) has been implicated in glioma. Here, the current study aimed to clarify the oncogenic effects of miR-19b-3p on cellular processes of glioma and to elucidate the underlying mechanism associated with SOCS3 and the JAK-STAT signaling pathway. Differentially expressed genes related to glioma were initially identified via microarray analysis. Twenty-five glioma patients were selected for clinical data collection, while additional 12 patients with traumatic brain injuries were selected as controls. Cell senescence was assessed by β-galactosidase staining, proliferation by MTT assay and apoptosis by flow cytometry following gain- and/or loss-of-function of miR-19b-3p or SOCS3. Glioma xenograft mouse model was developed through subcutaneous injection to nude mice to provide evidence in vivo. The glioma patients exhibited overexpressed miR-19b-3p and poorly-expressed SOCS3. SOCS3 was identified as a target gene of miR-19b-3p through dual-luciferase reporter gene assay. miR-19b-3p repressed SOCS3 expression and activated the JAK-STAT signaling pathway. Furthermore, miR-19b-3p inhibition promoted apoptosis and senescence, and suppressed cell proliferation through inactivation of the JAK-STAT signaling pathway and up-regulation of SOCS3. The reported regulatory axis was validated in nude mice as evidenced by suppressed tumor growth. Taken together, this study demonstrates that miR-19b-3p facilitates glioma progression via activation of the JAK-STAT signaling pathway by targeting SOCS3, highlighting a novel therapeutic target for glioma treatment.

Combination of oral STING agonist MSA-2 and anti-TGF-β/PD-L1 bispecific antibody YM101: a novel immune cocktail therapy for non-inflamed tumors

BACKGROUND

Non-inflamed tumors, including immune-excluded and immune-desert tumors, are commonly resistant to anti-PD-1/PD-L1 (α-PD-1/PD-L1) therapy. Our previous study reported the potent antitumor activity of anti-TGF-β/PD-L1 bispecific antibody YM101 in immune-excluded tumors. However, YM101 had limited antitumor activity in immune-desert models. MSA-2 is a novel oral stimulator of interferon genes (STING) agonist, which activates the innate immune system and may synergize with YM101 in overcoming immunotherapy resistance.

METHODS

The dose-dependent effect of MSA-2 on STING signaling was determined by interferon-β level. The maturation and function of dendritic cell (DC) were measured by flow cytometry, RNA-seq, one-way mixed lymphocyte reaction (MLR), OVA peptide pulse, and cytokine/chemokine detection. The synergistic effect between MSA-2 and YM101 was assessed by one-way MLR. The macrophage activation was measured by flow cytometry and cytokine/chemokine detection. The in vivo antitumor activity of MSA-2 combined with YM101 was explored in syngeneic murine tumor models. After treatments, the alterations in the tumor microenvironment (TME) were detected by flow cytometry, immunohistochemistry staining, immunofluorescence staining, RNA-seq, and single-cell RNA-seq (scRNA-seq).

RESULTS

MSA-2 could promote the maturation and antigen presentation capability of murine DC. In the one-way MLR assay, MSA-2 synergized with YM101 in enhancing naive T cell activation. Moreover, MSA-2 stimulated the classical activation of macrophage, without significant influence on alternative activation. Further in vivo explorations showed that MSA-2 increased multiple proinflammatory cytokines and chemokines in the TME. MSA-2 combined with YM101 remarkedly retarded tumor growth in immune-excluded and immune-desert models, with superior antitumor activity to monotherapies. Flow cytometry, bulk RNA-seq, and scRNA-seq assays indicated that the combination therapy simultaneously boosted the innate and adaptive immunity, promoted antigen presentation, improved T cell migration and chemotaxis, and upregulated the numbers and activities of tumor-infiltrating lymphocytes.

CONCLUSION

Our results demonstrate that MSA-2 synergizes with YM101 in boosting antitumor immunity. This immune cocktail therapy effectively overcomes immunotherapy resistance in immune-excluded and immune-desert models.

Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients

Purpose: To evaluate the effectiveness of features obtained from our proposed incremental-dose-interval-based lung subregion segmentation (IDLSS) for predicting grade ≥ 2 acute radiation pneumonitis (ARP) in lung cancer patients upon intensity-modulated radiotherapy (IMRT). (1) Materials and Methods: A total of 126 non-small-cell lung cancer patients treated with IMRT were retrospectively analyzed. Five lung subregions (SRs) were generated by the intersection of the whole lung (WL) and five sub-regions receiving incremental dose intervals. A total of 4610 radiomics features (RF) from pre-treatment planning computed tomographic (CT) and 213 dosiomics features (DF) were extracted. Six feature groups, including WL-RF, WL-DF, SR-RF, SR-DF, and the combined feature sets of WL-RDF and SR-RDF, were generated. Features were selected by using a variance threshold, followed by a Student t-test. Pearson’s correlation test was applied to remove redundant features. Subsequently, Ridge regression was adopted to develop six models for ARP using the six feature groups. Thirty iterations of resampling were implemented to assess overall model performance by using the area under the Receiver-Operating-Characteristic curve (AUC), accuracy, precision, recall, and F1-score. (2) Results: The SR-RDF model achieved the best classification performance and provided significantly better predictability than the WL-RDF model in training cohort (Average AUC: 0.98 ± 0.01 vs. 0.90 ± 0.02, p < 0.001) and testing cohort (Average AUC: 0.88 ± 0.05 vs. 0.80 ± 0.04, p < 0.001). Similarly, predictability of the SR-DF model was significantly stronger than that of the WL-DF model in training cohort (Average AUC: 0.88 ± 0.03 vs. 0.70 ± 0.030, p < 0.001) and in testing cohort (Average AUC: 0.74 ± 0.08 vs. 0.65 ± 0.06, p < 0.001). By contrast, the SR-RF model significantly outperformed the WL-RF model only in the training set (Average AUC: 0.93 ± 0.02 vs. 0.85 ± 0.03, p < 0.001), but not in the testing set (Average AUC: 0.79 ± 0.05 vs. 0.77 ± 0.07, p = 0.13). (3) Conclusions: Our results demonstrated that the IDLSS method improved model performance for classifying ARP with grade ≥ 2 when using dosiomics or combined radiomics-dosiomics features.

Efficacy and optimal combination timing of chemotherapy combined with PD-1 inhibitor in advanced cervical cancer: a multicenter retrospective cohort study

Background

This study aimed to investigate the efficacy and safety of chemotherapy combined with programmed cell death protein 1 (PD-1) inhibitors in the treatment of advanced cervical cancer and the effect of optimal combination timing on prognosis.

Methods

From March 2020 to December 2021, the clinical data of 116 patients with advanced cervical cancer who received PD-1 inhibitors combined with chemotherapy were collected. The clinical characteristics and adverse events of the patients were recorded until the cut-off date of follow-up. The primary endpoints were progression-free survival (PFS), the objective response rate (ORR), and safety; the secondary endpoints were the disease-control rate (DCR) and overall survival (OS). Multivariate Cox proportional hazards regression was used to analyze the prognostic factors affecting the PFS of patients and to assess the effect of the timing of combination therapies on PFS.

Results

In total, 85 patients from 4 study centers were included in this study. The median PFS was 10.3 months [95% confidence interval (CI): 9.47–11.13 months], the ORR was 44.7%, the DCR was 75.3%, and the median OS was not reached. The multivariate Cox proportional hazards regression analysis showed that the early combination of chemotherapy with a PD-1 inhibitor provided better PFS than the late combination [hazard ratio (HR) 0.40, 95% CI: 0.24–0.67, P=0.001]. Lymph node metastasis (HR 2.04, 95% CI: 1.24–3.38, P=0.005), and previous treatment (HR 1.79, 95% CI: 1.09–3.00, P=0.023) were also independent risk factors for PFS. During the treatment and follow-up periods, the overall incidence of adverse events in this study was 56.5%, and that of grade ≥3 adverse events was 12.9%. Thrombocytopenia, neutropenia, anemia, and hypothyroidism were the main treatment-related adverse events, all of which were tolerated, and no serious adverse events leading to death were observed. There were no treatment-related deaths.

Conclusions

PD-1 inhibitors combined with chemotherapy have good efficacy and controllable safety in patients with advanced cervical cancer. The early combination of PD-1 inhibitors and chemotherapy may provide better survival benefits than the late combination for patients.

Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients

Purpose: This study investigates the impact of lung function on radiation pneumonitis prediction using a dual-omics analysis method.

Methods: We retrospectively collected data of 126 stage III lung cancer patients treated with chemo-radiotherapy using intensity-modulated radiotherapy, including pre-treatment planning CT images, radiotherapy dose distribution, and contours of organs and structures. Lung perfusion functional images were generated using a previously developed deep learning method. The whole lung (WL) volume was divided into function-wise lung (FWL) regions based on the lung perfusion functional images. A total of 5,474 radiomics features and 213 dose features (including dosiomics features and dose-volume histogram factors) were extracted from the FWL and WL regions, respectively. The radiomics features (R), dose features (D), and combined dual-omics features (RD) were used for the analysis in each lung region of WL and FWL, labeled as WL-R, WL-D, WL-RD, FWL-R, FWL-D, and FWL-RD. The feature selection was carried out using ANOVA, followed by a statistical F-test and Pearson correlation test. Thirty times train-test splits were used to evaluate the predictability of each group. The overall average area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and f1-score were calculated to assess the performance of each group.

Results: The FWL-RD achieved a significantly higher average AUC than the WL-RD group in the training (FWL-RD: 0.927 ± 0.031, WL-RD: 0.849 ± 0.064) and testing cohorts (FWL-RD: 0.885 ± 0.028, WL-RD: 0.762 ± 0.053, p < 0.001). When using radiomics features only, the FWL-R group yielded a better classification result than the model trained with WL-R features in the training (FWL-R: 0.919 ± 0.036, WL-R: 0.820 ± 0.052) and testing cohorts (FWL-R: 0.862 ± 0.028, WL-R: 0.750 ± 0.057, p < 0.001). The FWL-D group obtained an average AUC of 0.782 ± 0.032, obtaining a better classification performance than the WL-D feature-based model of 0.740 ± 0.028 in the training cohort, while no significant difference was observed in the testing cohort (FWL-D: 0.725 ± 0.064, WL-D: 0.710 ± 0.068, p = 0.54).

Conclusion: The dual-omics features from different lung functional regions can improve the prediction of radiation pneumonitis for lung cancer patients under IMRT treatment. This function-wise dual-omics analysis method holds great promise to improve the prediction of radiation pneumonitis for lung cancer patients.

International consensus on radiotherapy in metastatic non-small cell lung cancer

Background

Lung cancer is the leading cause of cancer-related death worldwide, with non-small cell lung cancer (NSCLC) accounting for most cases. While radiotherapy has historically served as a palliative modality in metastatic NSCLC, considerable advances in its technology and the continuous development of cutting-edge therapeutic agents, such as targeted therapy and immune checkpoint inhibitors (ICIs), are increasing its role in the multi-disciplinary management of the disease.

Methods

International radiotherapy experts were convened to consider and reach consensuses on the clinical utilities of radiotherapy in metastatic NSCLC, with the aim to provide patient-focused, up to date, evidence-based, recommendations to assist cancer specialists in the management of patients with metastatic NSCLC worldwide.

Results

Timely radiotherapy can offer rapid symptom alleviation and allow subsequent aggressive treatment approaches in patients with heavy tumor burden and/or oncologic emergencies. In addition, appropriate incorporation of radiotherapy as concurrent, consolidation, or salvage therapy makes it possible to achieve long-term survival, or even cure, for patients with oligo-metastatic disease. Cranial radiotherapy plays an important role in the management of brain metastasis, potentially augmenting the response and prolonging survival associated with targeted agents and ICIs. However, key questions remain, such as the appropriate choice of radiation techniques, optimal sequence of systemic therapies and radiotherapy, and optimal patient selection for such combination strategies. Although a strong rationale for combining radiotherapy and ICIs exists, its optimal parameters in this setting remain to be established.

Conclusions

In the modern era, radiotherapy serves not only as a palliative tool in metastatic NSCLC, but also plays active roles in patients with oligo-focal disease, CNS metastasis and receiving ICIs.

Induction of 2n pollen with colchicine during microsporogenesis in Phalaenopsis

The induction of 2n pollen is an important technique for breeding polyploid plants. Here, we observed meiosis in the pollen mother cells (PMCs) of six Phalaenopsis cultivars and attempted to induce 2n pollen. The meiotic stage was related to flower bud length. During meiosis, Phalaenopsis cultivars with flower widths of approximately 20-40 mm and 50-60 mm had bud lengths of approximately 3-8 mm and 5-13 mm, respectively. The duration of meiosis ranged from 4.2 to 14 d. This was the first study to characterize meiosis of the PMCs of Phalaenopsis. The natural generation frequency of 2n pollen varied from 0.68% to 1.78%. Meiotic stage and colchicine concentration significantly affected the induction of 2n pollen. The most effective treatment for obtaining 2n pollen was 0.05% colchicine in the leptotene to zygotene stage for 3 d, which achieved a 2n pollen frequency of 10.04%.

[Real-world data analysis of 3012 patients undergoing laparoscopic radical gastrectomy in a single center over the past 12 years]

Objective: To Summarize the safety, clinical outcome and technical evolution of laparoscopic gastric cancer surgery. Methods: A retrospective cohort study was carried out. Clinical data of 3012 patients who underwent laparoscopic radical gastrectomy for gastric cancer from January 2010 to March 2022 at Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University were retrospectively collected and analyzed. Case inclusion criteria were gastric malignancies confirmed by pathology, without distant metastasis by examination before operation and exploration during operation, patients undergoing laparoscopic radical gastrectomy, intact function of important organs and with complete data. Exclusion criteria were patients who underwent emergency gastric cancer resection due to gastric bleeding, perforation or obstruction, etc., tumor found to invade adjacent organs such as pancreas or transverse colon during the operation, conversion to open surgery during the operation, those who had other malignant tumors (except thyroid cancer) within 5 years, and those had severe cardiopulmonary, liver, or kidney insufficiency before surgery. Outcomes included: (1) baseline information of patients; (2) trend of the quantity of laparoscopic radical gastrectomy year by year; (3) evolution of the mode of digestive tract reconstruction; (4) periopertive outcome short-term complication was defined as complication occurring within 30 days after operation and classified accordiny to the clavien-Dindo criteria; and (5) 5-year overall survival. SPSS software was used for statistical analysis. Continuous variables that obeyed the normal distribution were expressed in the form of Mean±SD. Days of hospital stay that did not follow a normal distribution were expressed as median (Q₁,Q₃), and the Mann-Whiney U test was used for comparison. Discrete variables were expressed as cases (%), and chi-square test or rank sum test was used for comparison between groups. Linear regression analysis was used to analyze the relationship between the amount of surgery and the year of surgery. Kaplan-Meier method and log-rank test were used for survival analysis. Two-tailed P<0.05 was considered as statistically significant. Results: Among the 3012 cases, 2114 were male and 898 were female. The patients' average age at surgery was (61.1±10.7) years old. According to the number of cumulative cases, the patients were divided into three groups: early, intermediate and late, with 1004 patients in each group. The early group consisted of patients undergoing operation from January 2010 to October 2018, the intermediate group consisted of patients undergoing operation from October 2018 to January 2021, and the late group consisted of patients undergoing operation from January 2021 to March 2022. (1) General information: There were 691 (68.8%), 699 (69.6%) and 724 (72.1%) male patients in early, intermediate and late groups respectively; the average age increased from 56.6 years in 2010 to 62.8 years in March 2022. As for the tumor stage T1, T2, T3, T4, there were 49.0%, 14.4%, 23.9% and 12.6% in the early group; 47.5%, 12.9%, 26.9% and 12.6% in the intermediate group; 39.7%, 14.6%, 30.0%, and 15.6% in the late group, respectively. Patients with N0, N1, N2, N3a, N3b stage were 56.8%, 13.7%, 13.4%, 11.0%, and 5.0% in the early group; 55.7%, 12.9%, 12.8%, 11.6%, and 6.9% in the intermediate group; 51.0%, 16.1%, 12.8%, 12.5%, and 7.5% in the late group, respectively. (2) Year-by-year change in the number of gastric cancer operations: From 19 cases per year in 2010 to 786 per year in 2021, the annual number of gastric cancer operations was proportional to the year of operation (y=47.505x, R²=0.67). The proportion of patients with stage I disease showed a fluctuating downward trend over time, while the proportion of patients with stage III disease increased slightly, accounting for 34% until March 2022. (3) Evolution of digestive tract reconstruction methods: Except in 2010, the digestive tract reconstruction method of distal gastrectomy focused on Billroth-II+Braun anastomosis among patients undergoing laparoscopic gastric cancer surgery in other years, whose proportion had gradually increased from less than 20% in 2016 to about 70% after 2021; the gastrointestinal reconstruction methods after total gastrectomy had gradually increased in π anastomosis and overlap anastomosis since 2016, of which π anastomosis reached about 65% in 2019, and overlap anastomosis reached almost 30% in 2020; the anastomosis methods after proximal gastrectomy had been mainly double-channel anastomosis (54%) and esophagogastric anastomosis (30%) since 2016, and double-channel anastomosis accounted for up to 70% in 2019. (4) Operation time: The operation time of early, intermediate and late group was (193.3±49.8) min, (186.9±44.3) min and (206.7±51.4) min respectively. Intermediate group was significantly shorter than early group (t=3.005, P=0.003), while late group was significantly longer than early group (t=5.875, P<0.001) and intermediate group (t=9.180, P<0.001). (5) Postoperative hospital stay: The median length of hospital stay for gastric cancer patients in early, intermediate and late groups was 9 (8, 11) d, 8 (7, 10) d, and 8 (7.5, 10) d respectively. The postoperative hospital stay of intermediate group and late group was significantly shorter than that of early group (Z=-12.467, Z=-5.981, both P<0.001), but there was no significant difference between intermediate group and late group (Z=0.415,P=0.678). (6) Postoperative complication: The morbidity of short-term complication in early, intermediate and late group was 20.4% (205/1004), 16.2% (163/1004), and 16.2% (162/1004) respectively, and above morbidity of intermediate group and late group was significantly lower than that of early group (χ²=5.869, P=0.015; χ²=6.165, P=0.013), while there was no significant difference between intermediate group and late group (χ²=0.004,P=0.952). The morbidity of short-term complication of grade IIIor higher was 8.0% (80/1004), 7.6% (76/1004), and 4.9% (49/1004) in early, intermediate and late group respectively, and above morbidity of late group was significantly lower than that of early and intermediate group (χ²=7.965, P=0.005; χ²=6.219,P=0.013), while there was no significant difference between intermediate group and early group (χ²=0.111,P=0.739). (7) Survival analysis: The follow-up deadline for survival data was December 31, 2021, and the median follow-up time was 29.5 months. The overall 5-year survival rate of all the patients was 74.7%. The 5-year survival rates of stage I, II and III patients were 92.0%, 77.2%, and 40.3% respectively and 5-year survival rates of patients with stage IA, IB, IIA, IIB, IIIA, IIIB and IIIC were 93.2%, 87.8%, 81.1%, 72.7%, 46.2%, 37.1%, and 34.0% respectively. Conclusions: The number of laparoscopic gastric cancer operation in our center is increasing year by year. With the maturity of laparoscopic technology, the morbidity of complication in laparoscopic gastric cancer surgery is decreasing.

Curcumin attenuates Cr (VI)-induced cell growth and migration by targeting autophagy-dependent reprogrammed metabolism

Hexavalent chromium [Cr (VI)] is a well-established carcinogen. Cr (VI)-treated cells are phenotypically characterized by aberrant levels of growth and migration. Curcumin, a polyphenolic compound from the plant turmeric, has been found to possess antiproliferation, anti-inflammation, and antioxidant properties. In this study, the effect of curcumin on Cr (VI)-induced cell survival and migration and the underlying mechanism were investigated. Cell viability assay on A549 and human embryonic lung fibroblast cells showed that curcumin at the concentration of 10 µM could significantly attenuate Cr (VI)-induced viability in both cell lines. Following Western blot assay and metabolomics assays, cotreatment with curcumin and Cr (VI) resulted in the suppression of Cr (VI)-induced glycolysis-, autophagy-, and migration-related proteins. Meanwhile, curcumin increased Cr (VI)-reduced oxidative phosphorylation (OXPHOS)-related proteins, COXIV and ND1. Moreover, curcumin suppressed Cr (VI)-induced mitochondrial dysfunction, mitochondrial mass decrease, and mitochondrial membrane potential loss. Treatment with curcumin for 24 h significantly attenuated pcATG4B-induced autophagy and the subsequent expression of glucose transporter 1, hexokinase II, and pyruvate kinase M2. Wound healing and transwell assay demonstrated that curcumin reduced Cr (VI)-induced cell migration. Taken together, these results showed that curcumin was able to attenuate Cr (VI)-induced cell viability and migration by targeting autophagy-dependent reprogrammed metabolism from OXPHOS to glycolysis.