The combination of tumor mutational burden and T-cell receptor repertoire predicts the response to immunotherapy in patients with advanced non-small cell lung cancer.

Tumor mutational burden (TMB) and T-cell receptor (TCR) might predict the response to immunotherapy in patients with non-small cell lung cancer (NSCLC). However, the predictive value of the combination of TMB and TCR was not clear. Targeted DNA and TCR sequencing were performed on tumor biopsy specimens. We combined TMB and TCR diversity into a TMB-and-TCR (TMR) score using logistic regression. In total, 38 patients with advanced NSCLC were divided into a discovery set (n = 17) and validation set (n = 21). A higher TMR score was associated with better response and longer progression-free survival to immunotherapy in both the discovery set and validation set. The performance of TMR score was confirmed in the two external validation cohorts of 225 NSCLC patients and 306 NSCLC patients. Tumors with higher TMR scores were more likely to combine with LRP1B gene mutation (p = 0.027) and top 1% CDR3 sequences (p = 0.001). Furthermore, LRP1B allele frequency was negatively correlated with the top 1% CDR3 sequences (r = -0.55, p = 0.033) and positively correlated with tumor shrinkage (r = 0.68, p = 0.007). The TMR score could serve as a potential predictive biomarker for the response to immunotherapy in advanced NSCLC.

A novel TCGA-validated programmed cell-death-related signature of ovarian cancer.

BACKGROUND: Ovarian cancer (OC) is a gynecological malignancy tumor with high recurrence and mortality rates. Programmed cell death (PCD) is an essential regulator in cancer metabolism, whose functions are still unknown in OC. Therefore, it is vital to determine the prognostic value and therapy response of PCD-related genes in OC. METHODS: By mining The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and Genecards databases, we constructed a prognostic PCD-related genes model and performed Kaplan-Meier (K-M) analysis and Receiver Operating Characteristic (ROC) curve for its predictive ability. A nomogram was created via Cox regression. We validated our model in train and test sets. Quantitative real-time PCR (qRT-PCR) was applied to identify the expression of our model genes. Finally, we analyzed functional analysis, immune infiltration, genomic mutation, tumor mutational burden (TMB) and drug sensitivity of patients in low- and high-risk group based on median scores. RESULTS: A ten-PCD-related gene signature including protein phosphatase 1 regulatory subunit 15 A (PPP1R15A), 8-oxoguanine-DNA glycosylase (OGG1), HECT and RLD domain containing E3 ubiquitin protein ligase family member 1 (HERC1), Caspase-2.(CASP2), Caspase activity and apoptosis inhibitor 1(CAAP1), RB transcriptional corepressor 1(RB1), Z-DNA binding protein 1 (ZBP1), CD3-epsilon (CD3E), Clathrin heavy chain like 1(CLTCL1), and CCAAT/enhancer-binding protein beta (CEBPB) was constructed. Risk score performed well with good area under curve (AUC) (AUC3 - year =0.728, AUC5 - year = 0.730). The nomogram based on risk score has good performance in predicting the prognosis of OC patients (AUC1 - year =0.781, AUC3 - year =0.759, AUC5 - year = 0.670). Kyoto encyclopedia of genes and genomes (KEGG) analysis showed that the erythroblastic leukemia viral oncogene homolog (ERBB) signaling pathway and focal adhesion were enriched in the high-risk group. Meanwhile, patients with high-risk scores had worse OS. In addition, patients with low-risk scores had higher immune-infiltrating cells and enhanced expression of checkpoints, programmed cell death 1 ligand 1 (PD-L1), indoleamine 2,3-dioxygenase 1 (IDO-1) and lymphocyte activation gene-3 (LAG3), and were more sensitive to A.443,654, GDC.0449, paclitaxel, gefitinib and cisplatin. Finally, qRT-PCR confirmed RB1, CAAP1, ZBP1, CEBPB and CLTCL1 over-expressed, while PPP1R15A, OGG1, CASP2, CD3E and HERC1 under-expressed in OC cell lines. CONCLUSION: Our model could precisely predict the prognosis, immune status and drug sensitivity of OC patients.

Genomic and transcriptomic profiling of combined small-cell lung cancer through microdissection: unveiling the transformational pathway of mixed subtype.

BACKGROUND: Combined small-cell lung carcinoma (cSCLC) represents a rare subtype of SCLC, the mechanisms governing the evolution of cancer genomes and their impact on the tumor immune microenvironment (TIME) within distinct components of cSCLC remain elusive. METHODS: Here, we conducted whole-exome and RNA sequencing on 32 samples from 16 cSCLC cases. RESULTS: We found striking similarities between two components of cSCLC-LCC/LCNEC (SCLC combined with large-cell carcinoma/neuroendocrine) in terms of tumor mutation burden (TMB), tumor neoantigen burden (TNB), clonality structure, chromosomal instability (CIN), and low levels of immune cell infiltration. In contrast, the two components of cSCLC-ADC/SCC (SCLC combined with adenocarcinoma/squamous-cell carcinoma) exhibited a high level of tumor heterogeneity. Our investigation revealed that cSCLC originated from a monoclonal source, with two potential transformation modes: from SCLC to SCC (mode 1) and from ADC to SCLC (mode 2). Therefore, cSCLC might represent an intermediate state, potentially evolving into another histological tumor morphology through interactions between tumor and TIME surrounding it. Intriguingly, RB1 inactivation emerged as a factor influencing TIME heterogeneity in cSCLC, possibly through neoantigen depletion. CONCLUSIONS: Together, these findings delved into the clonal origin and TIME heterogeneity of different components in cSCLC, shedding new light on the evolutionary processes underlying this enigmatic subtype.

Spatial heterogeneity of T cell repertoire across NSCLC tumors, tumor edges, adjacent and distant lung tissues.

Background: A better understanding of T cells in lung cancer and their distribution across tumor-adjacent lungs and peripheral blood is needed to improve efficacy and minimize toxicity from immunotherapy to lung cancer patients. Methods: Here, we performed CDR3ß TCR sequencing of 136 samples from 20 patients with early-stage NSCLC including peripheral blood mononuclear cells, tumors, tumor edges (<1 cm from tumor), as well as adjacent lungs 1 cm, 2 cm, 5 cm, and 10 cm away from the tumor to gain insight into the spatial heterogeneity of T cells across the lungs in patients with NSCLC. PD-L1, CD4, and CD8 expression was assessed using immunohistochemical staining, and genomic features were derived by targeted sequencing of 1,021 cancer-related genes. Multiplex immunohistochemistry against PD-1, CTLA4, LAG3, and TIM3 was performed on four patients to assess T cell exhaustion. Results: Our study reveals a decreasing gradient in TIL Tumor Infiltrating Lymphocytes homology with tumor edge, adjacent lungs, and peripheral blood but no discernible distance-associated patterns of T cell trafficking within the adjacent lung itself. Furthermore, we show a decrease in pathogen-specific TCRs in regions with high T cell clonality and PD-L1 expression. Conclusions: Exclusion in T exhaustion cells at play across the lungs of patients with NSCLC may potentially be the mechanism for lung cancer occurrence.

Immune characteristics associated with lymph node metastasis in early-stage NSCLC.

PURPOSE: Tumor metastasis significantly impacts the prognosis of non-small cell lung cancer (NSCLC) patients, with lymph node (LN) metastasis being the most common and early form of spread. With the development of adjuvant immunotherapy, increasing attention has been paid to the tumor-draining lymph nodes（TDLN) in early-stage NSCLC, especially tumor-metastatic lymph nodes, which provides poor prognostic information but has potential benefits in adjuvant treatment. METHODS: We showed the remodeled immune environment in TDLNs through using TCR-seq to analyse 24 primary lung cancer tissues and 134 LNs from 24 lung cancer patients with or without LN metastasis. Additionally, we characterized the spatial profiling of immunocytes and tumor cells in TDLNs and primary tumor sites through using multi-IHC. RESULTS: We found the remodeled immune environment in TDLNs through analyzing primary lung cancer tissues and LNs from NSCLC patients with or without LN metastasis. Considering the intricate communication between tumor and immunocytes, we further subdivided TDLNs, revealing that metastasis-negative LNs from LN-metastatic patients (MNLN) exhibited greater immune activation, exhaustion, and memory in comparison to both metastasis-positive LNs (MPLN) and TDLNs from non-LN-metastatic patients (NMLN). CONCLUSIONS: Our data indicate that LN metastasis facilitated tumor-specific antigen presentation in TDLNs and induces T cell priming, while existing tumor cells generate an immune-suppressive environment in MPLNs through multiple mechanisms. These findings contribute to a comprehensive understanding of the immunological mechanisms through which LN metastasis influences tumor progression and plays a role in immunotherapy for NSCLC patients.

Bile acids promote the development of HCC by activating inflammasome.

BACKGROUND: Hepatocellular carcinoma (HCC) is associated with chronic inflammation caused by different factors; especially, the interaction of inflammatory pathways and bile acids (BAs) can affect hepatocyte proliferation, death, and regeneration, but whether BAs promote HCC progression through inflammatory pathways and the mechanisms is still unclear. METHODS AND RESULTS: By examining cancer and tumor-adjacent tissue BA levels and genes associated with BA homeostasis in 37 HCC patients, we found that total bile acids (TBAs) were decreased by 36% and varying degrees of changes in factors regulating BA homeostasis (p < 0.05). In addition, we found that BA homeostasis was disturbed in diethylnitrosamine-induced HCC mouse models, and TBA was correlated with inflammasome activation during HCC progression (6-24 W) (p < 0.05). Similarly, the inflammasome and chenodeoxycholic acid (CDCA) content were suppressed in cholestasis model mice (Mrp2-deficient mice) (p < 0.05). In vitro, CDCA significantly promoted the malignant transformation of hepatocytes (p < 0.001), activated the inflammasome by triggering the release of mitochondrial reactive oxygen species and mitochondrial DNA, and ultimately induced pyroptosis. Furthermore, we found that CDCA has a targeted binding effect with HO-1 through molecular docking and Cellular Thermal Shift Assay experiments. CONCLUSIONS: In conclusion, we found that CDCA can trigger the excessive accumulation of mitochondrial reactive oxygen species by targeting HO-1 to promote the activation of the inflammasome and ultimately promote the progression of HCC. Our study provides a novel mechanism by which BAs promote HCC by activating the inflammasome and establishes the important role of BA homeostasis imbalance in the progression of HCC from the aspect of inflammation.

DELFMUT: duplex sequencing-oriented depth estimation model for stable detection of low-frequency mutations.

Duplex sequencing technology has been widely used in the detection of low-frequency mutations in circulating tumor deoxyribonucleic acid (DNA), but how to determine the sequencing depth and other experimental parameters to ensure the stable detection of low-frequency mutations is still an urgent problem to be solved. The mutation detection rules of duplex sequencing constrain not only the number of mutated templates but also the number of mutation-supportive reads corresponding to each forward and reverse strand of the mutated templates. To tackle this problem, we proposed a Depth Estimation model for stable detection of Low-Frequency MUTations in duplex sequencing (DELFMUT), which models the identity correspondence and quantitative relationships between templates and reads using the zero-truncated negative binomial distribution without considering the sequences composed of bases. The results of DELFMUT were verified by real duplex sequencing data. In the case of known mutation frequency and mutation detection rule, DELFMUT can recommend the combinations of DNA input and sequencing depth to guarantee the stable detection of mutations, and it has a great application value in guiding the experimental parameter setting of duplex sequencing technology.

Analysis of CD8+ TCRß Chain repertoire in peripheral blood of vitiligo via high-throughput sequencing.

Vitiligo is an autoimmune depigmentation dermatosis induced by melanocyte destruction, and CD8+ T cells play a pivotal role in melanocyte destruction. However, an accurate profile of the CD8+ T cell receptor (TCR) repertoire in vitiligo patients has not been reported, and the clonotype features of the involved CD8+ T cells remain largely unknown. This study aimed to assess the TCRß chain repertoire diversity and composition of blood in nine nonsegmental vitiligo patients via high-throughput sequencing. Vitiligo patients manifested a low TCRß repertoire diversity with highly expanded clones. Differential usage of TRBV, the TRBJ gene, and the TRBV/TRBJ combination were compared between patients with vitiligo and healthy controls. A set of TRBV/TRBJ combinations could differentiate patients with vitiligo from healthy controls (area under the curve = 0.9383, 95% CI: 0.8167-1.00). Our study revealed distinct TCRß repertoires of CD8+ T cells in patients with vitiligo and will help explore novel immune biomarkers and potential therapeutic targets for vitiligo.

Construction and comprehensive analysis of a curoptosis-related lncRNA signature for predicting prognosis and immune response in cervical cancer.

Cuproptosis (copper-ion-dependent cell death) is an unprogrammed cell death, and intracellular copper accumulation, causing copper homeostasis imbalance and then leading to increased intracellular toxicity, which can affect the rate of cancer cell growth and proliferation. This study aimed to create a newly cuproptosis-related lncRNA signature that can be used to predict survival and immunotherapy in patients with cervical cancer, but also to predict prognosis in patients treated with radiotherapy and may play a role in predicting radiosensitivity. First of all, we found lncRNAs associated with cuproptosis between cervical cancer tumor tissues and normal tissues. By LASSO-Cox analysis, overlapping lncRNAs were then used to construct lncRNA signatures associated with cuproptosis, which can be used to predict the prognosis of patients, especially the prognosis of radiotherapy patients, ROC curves and PCA analysis based on cuprotosis-related lncRNA signature and clinical signatures were developed and demonstrated to have good predictive potential. In addition, differences in immune cell subset infiltration and differences in immune checkpoint expression between high-risk and low-risk score groups were analyzed, and we investigated the relationship between this signature and tumor mutation burden. In summary, we constructed a lncRNA prediction signature associated with cuproptosis. This has important clinical implications, including improving the predictive value of cervical cancer patients and providing a biomarker for cervical cancer.

Analysis of genomic and immune intratumor heterogeneity in linitis plastica via multiregional exome and T-cell receptor sequencing.

The molecular landscape and the intratumor heterogeneity (ITH) architecture of gastric linitis plastica (LP) are poorly understood. We performed whole-exome sequencing (WES) and T-cell receptor (TCR) sequencing on 40 tumor regions from four LP patients. The landscape and ITH at the genomic and immunological levels in LP tumors were compared with multiple cancers that have previously been reported. The lymphocyte infiltration was further assessed by immunohistochemistry (IHC) in LP tumors. In total, we identified 6339 non-silent mutations from multi-samples, with a median tumor mutation burden (TMB) of 3.30 mutations per Mb, comparable to gastric adenocarcinoma from the Cancer Genome Atlas (TCGA) cohort (P = 0.53). An extremely high level of genomic ITH was observed, with only 12.42%, 5.37%, 5.35%, and 30.67% of mutations detectable across 10 regions within the same tumors of each patient, respectively. TCR sequencing revealed that TCR clonality was substantially lower in LP than in multi-cancers. IHC using antibodies against CD4, CD8, and PD-L1 demonstrated scant T-cell infiltration in the four LP tumors. Furthermore, profound TCR ITH was observed in all LP tumors, with no T-cell clones shared across tumor regions in any of the patients, while over 94% of T-cell clones were restricted to individual tumor regions. The Morisita overlap index (MOI) ranged from 0.21 to 0.66 among multi-regions within the same tumors, significantly lower than that of lung cancer (P = 0.002). Our results show that LP harbored extremely high genomic and TCR ITH and suppressed T-cell infiltration, suggesting a potential contribution to the frequent recurrence and poor therapeutic response of this adenocarcinoma.

Respectfulness-processing revisited: An ERP study of Chinese sentence reading.

In Mandarin Chinese, an important manifestation of respectfulness is the use of different forms of second-person pronouns. Jiang et al. (2013) examined the event-related potential (ERP) correlates of processing respectful and plain pronouns in Chinese. However, this study suffered from a few methodological limitations, which restricted both the reliability and functional interpretations of the study's findings. In the present study, we resolved these limitations and further investigated the neurocognitive mechanisms of processing the respectfulness of pronouns. In the present study, participants read 160 critical Chinese sentences with a second-person pronoun (ni or nin) that was either consistent or inconsistent with its prior sentence context in terms of respectfulness, as well as 240 filler sentences. Unlike the previous study that reported a 300-500 ms negative response (N400) for both types of inconsistent pronouns, a sustained positive response for Nin inconsistent and a sustained negativity response for Ni inconsistent in the late time window, the present study found an N400 response and late sustained negativity for Nin inconsistent, but not for Ni inconsistent. Furthermore, the cluster-based permutation showed a significant negative cluster for Nin inconsistent, extending from 432-622 ms. We related this negative response for Nin inconsistent with recent accounts of the N400 and late negativity. Finally, the absence of the ERP effect for the Ni condition was linked to the role of the pragmatic property of Ni.

Longitudinal Undetectable Molecular Residual Disease Defines Potentially Cured Population in Localized Non-Small Cell Lung Cancer.

The efficacy and potential limitations of molecular residual disease (MRD) detection urgently need to be fully elucidated in a larger population of non-small cell lung cancer (NSCLC). We enrolled 261 patients with stages I to III NSCLC who underwent definitive surgery, and 913 peripheral blood samples were successfully detected by MRD assay. Within the population, only six patients (3.2%) with longitudinal undetectable MRD recurred, resulting in a negative predictive value of 96.8%. Longitudinal undetectable MRD may define the patients who were cured. The peak risk of developing detectable MRD was approximately 18 months after landmark detection. Correspondingly, the positive predictive value of longitudinal detectable MRD was 89.1%, with a median lead time of 3.4 months. However, brain-only recurrence was less commonly detected by MRD (n = 1/5, 20%). Further subgroup analyses revealed that patients with undetectable MRD might not benefit from adjuvant therapy. Together, these results expound the value of MRD in NSCLC. SIGNIFICANCE: This study confirms the prognostic value of MRD detection in patients with NSCLC after definitive surgery, especially in those with longitudinal undetectable MRD, which might represent the potentially cured population regardless of stage and adjuvant therapy. Moreover, the risk of developing detectable MRD decreased stepwise after 18 months since landmark detection. This article is highlighted in the In This Issue feature, p. 1599.

Co-occurrence of CDKN2A/B and IFN-I homozygous deletions correlates with an immunosuppressive phenotype and poor prognosis in lung adenocarcinoma.

Homozygous deletion (HD) of CDKN2A and CDKN2B (CDKN2A/BHD ) is the most frequent copy-number variation (CNV) in lung adenocarcinoma (LUAD). CDKN2A/BHD has been associated with poor outcomes in LUAD; however, the mechanisms of its prognostic effect remain unknown. We analyzed genome, transcriptome, and clinical data from 517 patients with LUAD from the Cancer Genome Atlas (TCGA) and from 788 primary LUAD tumor and matched control samples from the MSK-IMPACT clinical cohort. CDKN2A/BHD was present in 19.1% of the TCGA-LUAD cohort and in 5.7% of the MSK-IMPACT cohort. CDKN2A/BHD patients had shorter disease-free survival and overall survival compared with CDKN2A/BWT individuals in both cohorts. Differences in clinical features did not influence the outcomes in the CDKN2A/BHD population. Mutation analyses showed that overall tumor mutational burden and mutations in classical drivers such as EGFR and RB1 were not associated with CDKN2A/BHD . In contrast, homozygous deletion of type I interferons (IFN-IHD ) frequently co-occurred with CDKN2A/BHD . CDKN2A/B and IFN-I are co-located in the same p21.3 region of chromosome 9. The co-occurrence of CDKN2A/BHD and IFN-IHD was not related to whole-genome doubling, chromosome instability, or aneuploidy. Patients with co-occurring CDKN2A/BHD and IFN-IHD had shorter disease-free survival and overall survival compared with CDKN2A/BWT patients. CDKN2A/BHD IFN-IHD had downregulated several key immune response pathways, suggesting that poor prognosis in CDKN2A/BHD LUAD could potentially be attributed to an immunosuppressive tumor microenvironment as a result of IFN-I depletion.

Safety and efficacy of mutant neoantigen-specific T-cell treatment combined anti-PD-1 therapy in stage IV solid tumors.

Aims: This trial explored the safety and efficacy of neoantigen-specific T cells (Nas-Ts) combined with anti-PD-1 (Nas-T + anti-PD-1). Patients & methods: This non-randomized trial recruited participants with solid tumors treated with at least two prior systemic treatment lines. For comparison, 1:1-matched controls who received anti-PD-1 alone were recruited. The primary end point was safety. Results: 15 participants were enrolled in the Nas-T + anti-PD-1 group, the objective response rate was 33.3%, and the disease control rate was 93.3%. The median progression-free survival was significantly different between the Nas-T + anti-PD-1 and control groups (13.8 vs 4.2 months; p = 0.024), but no difference in overall survival was found (p = 0.126). The most common adverse events were maculopapular skin reaction (53.3%), rash (53.3%), hepatotoxicity (53.3%) and fever (53.3%) in the Nas-T + anti-PD-1 group. No serious safety issues were experienced. Conclusion: Nas-Ts combined with anti-PD-1 could be more effective than anti-PD-1 alone in prolonging progression-free survival, with good safety.

Cancer immune escape is a major mechanism allowing cancer cells to avoid treatments, and PD-1 is one of those mechanisms. Nevertheless, therapies targeting PD-1 are still somewhat unsatisfactory. In this trial, we explored the safety and efficacy of mutant neoantigen-specific T cells (Nas-Ts) as adoptive cell immunotherapy individualized for each tumor, combined with an anti-PD-1 regimen (Nas-T + anti-PD-1). We recruited participants with solid tumors treated with at least two prior systemic treatment lines: 15 participants were enrolled in the Nas-T + anti-PD-1 group and 15 more in the control group. After the last follow-up, the percentage of patients on whom a therapy had some defined effect as well as the percentage of patients with advanced and metastatic cancer who achieved complete response was significantly higher for those who received Nas-T + anti-PD-1. No serious safety issues were experienced. This study confirmed that Nas-Ts combined with anti-PD-1 could be more effective than anti-PD-1 alone in delaying progression, with good safety.

The interplay between respectfulness and lexical-semantic in reading Chinese: evidence from ERPs.

Language comprehension requires the processing of both linguistic and extra-linguistic information, such as syntax, semantics, and pragmatic information. Previous studies have systematically examined the interplay between syntactic and semantic processing. However, there is a lack of data on how pragmatic processing proceeds and its interaction with semantic processing. Using event-related potentials (ERPs), the present study manipulated the semantic coherence of a verb phrase (VP) and the respect consistency of the object noun phrase in the VP, resulting in four types of critical sentences. Participants read 160 critical Chinese sentences and 220 filler sentences. After electroencephalogram recordings, they completed the Autism Quotient Communication (AQ-Comm) subscale and a sentence acceptability rating task. The ERP results showed that respect violation elicited a larger N400 response and a late negative activity in the pragmatically less-skilled subgroup (as indexed by higher scores on the AQ-Comm subscale). In contrast, respect violation elicited a P600 response in the pragmatically skilled subgroup (as indexed by lower scores on the AQ-Comm subscale). The double violation condition elicited an ERP pattern that was similar to that of the semantic violation condition in both subgroups, suggesting that respect violation effects were present only when the VP was semantically coherent. These results suggest that semantic violation can preclude readers from engaging in pragmatic inferencing, regardless of the participants' pragmatic skills. Strategies for resolving respect violation and corresponding brain activities vary according to participants' pragmatic abilities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09700-2.

Multi-region exome sequencing reveals the intratumoral heterogeneity of surgically resected small cell lung cancer.

Small cell lung cancer (SCLC) is a highly malignant tumor which is eventually refractory to any treatment. Intratumoral heterogeneity (ITH) may contribute to treatment failure. However, the extent of ITH in SCLC is still largely unknown. Here, we subject 120 tumor samples from 40 stage I-III SCLC patients to multi-regional whole-exome sequencing. The most common mutant genes are TP53 (88%) and RB1 (72%). We observe a medium level of mutational heterogeneity (0.30, range 0.0~0.98) and tumor mutational burden (TMB, 10.2 mutations/Mb, range 1.1~51.7). Our SCLC samples also exhibit somatic copy number variation (CNV) across all patients, with an average CNV ITH of 0.49 (range 0.02~0.99). In terms of mutation distribution, ITH, TMB, mutation clusters, and gene signatures, patients with combined SCLC behave roughly the same way as patients with pure SCLC. This condition also exists in smoking patients and patients with EGFR mutations. A higher TMB per cluster is associated with better disease-free survival while single-nucleotide variant ITH is linked to worse overall survival, and therefore these features may be used as prognostic biomarkers for SCLC. Together, these findings demonstrate the intratumoral genetic heterogeneity of surgically resected SCLC and provide insights into resistance to treatment.

When politeness processing encounters failed syntactic/semantic processing.

Previous studies have elucidated the neural mechanism of syntactic/semantic processing and pragmatic processing. However, the exact mechanisms by which these two aspects of processing interact during language comprehension remain unknown. In this event-related brain potential study, we examined the interaction between politeness processing and local syntactic/semantic processing of a phrase. We used a full factorial design that crossed politeness consistency with local syntactic/semantic coherence. Politeness violations elicited a P200 effect in the 190-320 ms range, centro-parietally distributed positivity in the 360-866 ms range, and pure local syntactic/semantic violation elicited a broad distributed positivity in the 362-868 ms range. Crucially, we found that event-related potential responses elicited by combined politeness and syntactic/semantic violations resemble those elicited by separate syntactic/semantic violations. These results indicated that local syntactic/semantic processing has a functional primacy over politeness processing. Furthermore, our results support the blocking hypothesis from a politeness processing perspective instead of the independent hypothesis.

Lung adenocarcinoma with ERBB2 exon 20 insertions: Comutations and immunogenomic features related to chemoimmunotherapy.

BACKGROUND: The genomic mutation and immune feature landscape of ERBB2 exon 20 insertion (ERBB2-ex20ins)-driven non-small cell lung cancer and the features associated with the response to chemoimmunotherapy are currently unknown. METHODS: The genomic landscape of ERBB2-ex20ins lung adenocarcinoma (LUAD) patients was characterized by next-generation sequencing (NGS) of 1021 cancer genes. The clinical outcomes of chemoimmunotherapy were evaluated among 13 patients with stage IV ERBB2-ex20ins LUAD, and potential biomarkers of the response to chemoimmunotherapy were explored using NGS and T cell receptor sequencing. RESULTS: Among 8247 LUAD patients, 207 (2.5%) had ERBB2-ex20ins, of whom 181 (87.4%) harbored more than one comutation. The most common comutations were in TP53. Patients with ERBB2-ex20ins had a low tumor mutational burden (TMB; median, 4.2 mutations/Mb), and most (66.7%) were PD-L1 negative. Thirteen of the 207 patients received chemoimmunotherapy, for whom the objective response rate, disease control rate, and median progression-free survival were 31%, 77%, and 8.0 months, respectively. Responders exhibited a higher TMB and a trend toward lower clonality in tumors compared with nonresponders (p = 0.0067 and p = 0.085, respectively). A high TMB combined with mutations in DNA damage repair pathways and SWI/SNF chromatin remodeling complexes was associated with a benefit from chemoimmunotherapy. CONCLUSIONS: The efficacy and outcome of chemoimmunotherapy were encouraging among ERBB2-ex20ins LUAD patients, who were characterized by low TMB and negative PD-L1 expression. The combination of TMB and comutations is a potential biomarker to identify patients who will benefit from chemoimmunotherapy.

An epigenomic landscape of cervical intraepithelial neoplasia and cervical cancer using single-base resolution methylome and hydroxymethylome.

BACKGROUND: Cervical cancer (CC) is the second leading cause of cancer death among women worldwide. Epigenetic regulation of gene expression through DNA methylation and hydroxymethylation plays a pivotal role during tumorigenesis. In this study, to analyze the epigenomic landscape and identify potential biomarkers for CCs, we selected a series of samples from normal to cervical intra-epithelial neoplasia (CINs) to CCs and performed an integrative analysis of whole-genome bisulfite sequencing (WGBS-seq), oxidative WGBS, RNA-seq, and external histone modifications profiling data. RESULTS: In the development and progression of CC, there were genome-wide hypo-methylation and hypo-hydroxymethylation, accompanied by local hyper-methylation and hyper-hydroxymethylation. Hydroxymethylation prefers to distribute in the CpG islands and CpG shores, as displayed a trend of gradual decline from health to CIN2, while a trend of increase from CIN3 to CC. The differentially methylated and hydroxymethylated region-associated genes both enriched in Hippo and other cancer-related signaling pathways that drive cervical carcinogenesis. Furthermore, we identified eight novel differentially methylated/hydroxymethylated-associated genes (DES, MAL, MTIF2, PIP5K1A, RPS6KA6, ANGEL2, MPP, and PAPSS2) significantly correlated with the overall survival of CC. In addition, no any correlation was observed between methylation or hydroxymethylation levels and somatic copy number variations in CINs and CCs. CONCLUSION: Our current study systematically delineates the map of methylome and hydroxymethylome from CINs to CC, and some differentially methylated/hydroxymethylated-associated genes can be used as the potential epigenetic biomarkers in CC prognosis.