Mutant-Allele Tumor Heterogeneity, a Favorable Biomarker to Assess Intra-Tumor Heterogeneity, in Advanced Lung Adenocarcinoma

Background

Intra-tumor heterogeneity (ITH) plays a vital role in drug resistance and recurrence of lung cancer. We used a mutant-allele tumor heterogeneity (MATH) algorithm to assess ITH and investigated its association with clinical and molecular features in advanced lung adenocarcinoma.

Methods

Tissues from 63 patients with advanced lung adenocarcinoma were analyzed by next-generation sequencing (NGS) using a panel targeting 520 cancer-relevant genes. We calculated the MATH values from NGS data and further investigated their correlation with clinical and molecular characteristics.

Results

Among the 63 patients with advanced lung adenocarcinoma, the median value of MATH was 33.06. Patients with EGFR mutation had higher level of MATH score than those with wild-type EGFR status (P = 0.008). Patients with stage IV disease showed a trend to have a higher MATH score than those with stage III (P = 0.052). MATH was higher in patients with disruptive TP53 mutations than in those with non-disruptive mutations (P = 0.036) or wild-type sequence (P = 0.023), but did not differ between tumors with non-disruptive mutations and wild-type TP53 (P = 0.867). High MATH is associated with mutations in mismatch repair (MMR) pathway (P = 0.026) and base excision repair (BER) pathway (P = 0.008). In addition, MATH was found to have a positive correlation with tumor mutational burden (TMB) (Spearman ρ = 0.354; P = 0.004). In 26 patients harboring EGFR mutation treated with first generation EGFR TKI as single-agent therapy, the objective response rate was higher in the Low-MATH group than in the High-MATH group (75% vs. 21%; P = 0.016) and Low-MATH group showed a significantly longer progression-free survival than High-MATH group (median PFS: 13.7 months vs. 10.1 months; P = 0.024).

Conclusions

For patients with advanced lung adenocarcinoma, MATH may serve as a clinically practical biomarker to assess intratumor heterogeneity.

Identification and Validation of a Novel Signature Based on NK Cell Marker Genes to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

Natural killer (NK) cells, the effectors of the innate immune system, have a remarkable influence on cancer prognosis and immunotherapy. In this study, a total of 1,816 samples from nine independent cohorts in public datasets were enrolled. We first conducted a comprehensive analysis of single-cell RNA-sequencing data of lung adenocarcinoma (LUAD) from the Gene Expression Omnibus (GEO) database and determined 189 NK cell marker genes. Subsequently, we developed a seven-gene prognostic signature based on NK cell marker genes in the TCGA LUAD cohort, which stratified patients into high-risk and low-risk groups. The predictive power of the signature was well verified in different clinical subgroups and GEO cohorts. With a multivariate analysis, the signature was identified as an independent prognostic factor. Low-risk patients had higher immune cell infiltration states, especially CD8⁺ T cells and follicular helper T cells. There existed a negative association between inflammatory activities and risk score, and the richness and diversity of the T-cell receptor (TCR) repertoire was higher in the low-risk groups. Importantly, analysis of an independent immunotherapy cohort (IMvigor210) revealed that low-risk patients had better immunotherapy responses and prognosis than high-risk patients. Collectively, our study developed a novel signature based on NK cell marker genes, which had a potent capability to predict the prognosis and immunotherapy response of LUAD patients.

RING finger 138 deregulation distorts NF-кB signaling and facilities colitis switch to aggressive malignancy

Prolonged activation of nuclear factor (NF)-кB signaling significantly contributes to the development of colorectal cancer (CRC). New therapeutic opportunities are emerging from targeting this distorted cell signaling transduction. Here, we discovered the critical role of RING finger 138 (RNF138) in CRC tumorigenesis through regulating the NF-кB signaling, which is independent of its Ubiquitin-E3 ligase activity involved in DNA damage response. RNF138^−/− mice were hyper-susceptible to the switch from colitis to aggressive malignancy, which coincided with sustained aberrant NF-кB signaling in the colonic cells. Furthermore, RNF138 suppresses the activation of NF-кB signaling pathway through preventing the translocation of NIK and IKK-Beta Binding Protein (NIBP) to the cytoplasm, which requires the ubiquitin interaction motif (UIM) domain. More importantly, we uncovered a significant correlation between poor prognosis and the downregulation of RNF138 associated with reinforced NF-кB signaling in clinical settings, raising the possibility of RNF138 dysregulation as an indicator for the therapeutic intervention targeting NF-кB signaling. Using the xenograft models built upon either RNF138-dificient CRC cells or the cells derived from the RNF138-dysregulated CRC patients, we demonstrated that the inhibition of NF-кB signaling effectively hampered tumor growth. Overall, our work defined the pathogenic role of aberrant NF-кB signaling due to RNF138 downregulation in the cascade events from the colitis switch to colonic neoplastic transformation and progression, and also highlights the possibility of targeting the NF-кB signaling in treating specific subtypes of CRC indicated by RNF138-ablation.

Assessment of a HER-2 scoring system and its correlation of HER2-targeting antibody-drug conjugate therapy in urothelial carcinoma

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Background: Human epidermal growth factor receptor 2 (HER2) overexpression is related to many tumor treatments. RC48-ADC, a novel humanized anti-HER2 antibody conjugated with monomethyl auristatin E, has shown a promising efficacy in patients with HER2-positive locally advanced or metastatic urothelial carcinoma (mUC). The characteristic expression and scoring systems of HER2 have existed in breast cancer, gastric cancer for many years, but not in UC. We aimed to explore the expression pattern of HER2 in UC and develop a validated HER2 scoring system. Methods: A total of 137 patients and 43 patients in two studies of cohort 1 and cohort 2 were enrolled, respectively. The patients of the cohort 2 were enrolled in the open-label, multicenter, phase II study of RC48-ADC. Formalin-fixed paraffin-embedded urothelial cancer samples were tested for HER2 status using the fluorescence in situ hybridization (FISH) PathVysion HER2 DNA probe kit (PathVysion, Abbott Molecular, USA). Immunohistochemistry (IHC) was performed using the Ventana Benchmark XT (Ventana Medical Systems, USA). The 2018 ASCO/CAP HER2 scoring system of breast cancer was adopted and modified to score HER2 expression level in UC. Results: The expression rate of HER2 (IHC 2+/3+) was 24.1% (33/137). In HER2 IHC status 3+ or 2+ patients, the HER2 amplified rate was 31% (13/42). The objective response rates in RC48-ADC treatment patients with IHC 3+, IHC 2+ and FISH +, IHC 2+ and FISH - were 58.8%, 66.7% and 40%, respectively. Heterogeneity of HER2 protein expression was 55.5% (15/27) and the objective response rate had no significant difference between patients with tumor heterogeneity and homogeneity. Conclusions: The modified HER2 testing scoring system could be applied to UC to determine which patient might benefit from anti-HER2-ADC treatment. There was a trend towards a better benefit for patients with HER2 amplification and the tumor heterogeneity did not influence the drug efficacy.

RC48-ADC for metastatic urothelial carcinoma with HER2-positive: Combined analysis of RC48-C005 and RC48-C009 trials

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Background: RC48-ADC (Disitamab Vedotin) is a novel humanized anti-HER2 antibody-drug conjugate (ADC). RC48-ADC demonstrated a promising efficacy with a manageable safety profile in HER2-positive locally advanced or metastatic UC patients who failed to platinum based chemotherapy in RC48-C005 and RC48-C009 trials. Here are the pooled results of the two studies with the supplementary efficacy, safety and updated OS data. Methods: Both of the two trials are single-arm, multi-center, phase II trials. Eligible patients were 18̃80 years old, with central-laboratory confirmed, histologically HER2-postive (IHC2+,3+), unresectable mUC. Patients had at least one line of systemic chemotherapy. The primary endpoint was objective response rate (ORR). Progress-free survival (PFS), overall survival (OS), and safety were also assessed. Results: RC48-C005 and RC48-C009 enrolled HER2-positive locally advanced or metastatic UC patients from Nov 2017 to Sep 2020. 107 mUC patients (80 males; median age 63 y [40-79]) were enrolled. 64.5% patients had received ≥ 2 lines systemic chemotherapy. 90.7% patients had visceral metastases. As of 04 Sep 2021 (data cutoff), The overall confirmed ORR as assessed by the BIRC was 50.5% (95% CI: 40.6%, 60.3%). Similar responses were observed in prespecified subgroups. cORR was 52.1% (25/48) for patients with liver metastasis and was 55.6% (15/27) in patients with previous PD-1/L1 treatment. The cORR was 62.2% (28/45) for HER2 IHC2+&FISH+ or IHC3+ patients, 55.6% (5/9) for HER2 IHC2+&FISH unknown patients, and 39.6% (21/53) for HER2 IHC2+&FISH- patients respectively. DCR was 82.2% (95% CI:73.7%, 89.0%). The mPFS was 5.9 (95% CI:4.2, 7.2) months. The mOS was 14.2 (95% CI:9.7, 18.8) months. The median OS follow up time was 19.1 months. Most common treatment-related AEs were hypoaesthesia (50.5%), Leukopenia (49.5%), aspartate aminotransferase increased (43.0%), neutropenia (42.1%), alopecia (40.2%), asthenia (39.3%), alanine aminotransferase increase (35.5%), decreased appetite (31.8%). The grade ≥3 TRAEs (≥5%) only included hypoaesthesia (15.0%), neutropenia (12.1%) and r-GT increased (5.6%). Conclusions: RC48-ADC showed continuously a promising efficacy with a manageable safety profile in HER2-postive mUC patients who had failed at least one line systemic chemotherapy. Clinical trial information: NCT03507166, NCT03809013.

Transcriptional analysis of small cell lung cancer transformation in epidermal growth factor receptor mutated lung adenocarcinomas

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Background: Epidermal growth factor receptor ( EGFR)-mutated lung adenocarcinoma (LUAD) could benefit from EGFR-TKIs (tyrosine kinase inhibitors) treatment, but drug resistance seems to be inevitable. Small cell lung cancer (SCLC) transformation counts for 3-15% of the resistance mechanism, and was amply studied at genomics level but rarely at transcriptional level. Methods: The expression of 730 mRNAs were investigated by Nanostring nCounter Pancancer Pathway Panel on 72 formalin-fixed and paraffin-embedded (FFPE) samples from 27 EGFR-mutated LUAD patients with SCLC transformation after EGFR-TKIs therapy (19 LUAD samples before transformation, LUAD-BT; 21 SCLC samples after transformation, SCLC-AT), 12 EGFR-mutated LUAD patients never SCLC transformed after EGFR-TKIs therapy (12 samples, LUAD-NT) and 20 stage IIĨIV primary SCLC patients (20 samples, SCLC-P). For patients enrolled in LUAD-NT group, tissue biopsies were performed at least twice, which were all diagnosed as pure LUAD, and the overall survival (OS) since first line therapy was longer than the median transformation time (mTt) of SCLC-transformed patients in our study. mRNA expression patterns and biological pathway scores were compared among four groups. The candidate predictive biomarkers from mRNA expression pattern analysis were validated by area under curve (AUC) of receiver operating characteristic curve (ROC) and the logarithm of fold change to the base 2 (log2FC). Results: On the last day of follow up (1st February 2022), the shortest OS of LUAD-NT patients was 28.4 months, whereas the mTt was 27.5 months. Among four groups, LUAD-NT and LUAD-BT showed the most similar mRNA expression patterns, and SCLC-P were significantly different from the others. 8.6% (63/730) mRNA showed significant downregulation after SCLC transformation, while 3.6% (26/730) showed significant upregulation ( p value adjusted by Benjamin & Hochberg’s method < 0.05, SCLC-AT vs LUAD-BT). In pathway enrichment analysis, the score of RAS and TGF-β pathways were significantly lower in SCLC-AT than LUAD-BT. Compared with SCLC-P, 6 upregulated mRNAs in SCLC-AT were observed (log2FC > 2, AUC > 0.85 and each raw p value < 0.05), including AR, COL5A1, GHR, HMGA2, IGFBP3 and IL6R, which could be further validated as diagnostic markers in a larger cohort. Moreover, compared with LUAD-NT, 4 mRNAs ( BRIP1, CCNE2, CDKN2A and MCM2) were found to be significantly upregulated (log2FC > 1, AUC > 0.75 and each raw p value < 0.05) in LUAD-BT, indicating the predictive value of SCLC transformation. Conclusions: The transformation of LUAD to SCLC may be promoted by transcriptional events. We also described some significantly different expressed mRNAs that could candidate as predictive or diagnostic markers for SCLC transformation, which should be further validated in a larger cohort.

Evaluation of the ability of Idylla EGFR to differentiate result of ARMS EGFR in gray area and identify rare mutation variants

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Background: Molecular testing involving Epidermal growth factor receptor ( EGFR) mutations is recommended for patients with non-small cell lung cancer (NSCLC), especially with lung adenocarcinoma, and is nowadays an essential element of precision medicine. Although amplification-refractory mutation system (ARMS) is one of the most commonly used methods for EGFR mutation detection, it can only detect variants in known gene loci and give indistinct results in gray area occasionally, which may be caused by the input of poor DNA quality or low-abundance variants. Idylla EGFR assay can detect 51 EGFR mutations directly from formalin-fixed, paraffin-embedded (FFPE) samples within 2.5 hours with < 2 minutes of hands-on time, without manual data analysis need, whose accurate and robust have been proven among Caucasian and Chinese patients. But the assay’s ability to detect EGFR mutation in low abundance which may lead the result of ARMS EGFR in gray area or rare variants has never been evaluated. Methods: FFPE samples were retrospectively collected from 98 lung cancer patients followed by EGFR testing using the Idylla system, which were also previously assessed with ARMS-PCR. Forty-six of them were in gray area by ARMS-PCR of EGFR and need to be retested by ARMS-PCR or validated by the third method. In another 52 cases, no mutations were found by ARMS-PCR of EGFR, but mutations were found by next-generation sequencing (NGS). The ability of Idylla EGFR to detect cases with result in gray area and rare variants were analyzed. Results: In 46 cases with result in gray area by ARMS-PCR of EGFR, after retesting or validation by the third method, 37 of them had the same result with Idylla mutation test, with an overall concordance of 80.4%. Idylla EGFR test missed 8 mutational cases (22/30), identified 1 mutational case in addition (15/16). Except 2 cases with higher CQ value than 29, which means the poor DNA quality or low quantity input, low mutational abundance maybe the main reason for no mutation identified by Idylla EGFR test. In 52 cases with rare EGFR variants, Idylla EGFR test identified 9 mutational cases, while 4/9 mutational variants beyond the scope of Idylla EGFR test, 2 20ins, 1 L858R and 1 19del. Five of the 9 mutational cases, Idylla test detected 5 different 19dels. The variants of all the 52 cases beyond the scope of ARMS-PCR of EGFR, and ARMS-PCR of EGFR didn’t find mutation. Conclusions: The Idylla system provides a rapid and accurate ability to differentiate result of ARMS-PCR of EGFR in gray area and identify more rare mutation variants which may decrease the repeat testing or validation. But the ability of NGS to find more actionable variants is still important.

Analysis of non-sentinel lymph node status on 10-year overall survival among patients with breast cancer and sentinel lymph node metastasis

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Background: To investigate retrospectively the effect of non-sentinel lymph node status (non-SLN) on 10-year overall survival (OS) and non-SLN metastasis risk factors in patients with breast cancer and sentinel lymph node (SLN) metastasis. Methods: A large population (n = 15510) underwent SLN dissection in Cancer Hospital, Chinese Academy of Medical Sciences from 2011 to 2022. In total, 3033 (19.6%) cases had at least one SLN metastasis, which underwent axillary lymph node (ALN) dissection. The clinicopathological characteristics and their relationship with non-SLN status were analyzed. Among patients from 2011-2012(n = 132), the effect of non-SLN status on 10-year OS and disease-free survival (DFS) with SLN metastasis were also analyzed. Results: In 3033 patients with SLN metastasis, the mean age was (50.42±10.59) years. The average number of SLN metastasis in each patient was 1.75±1.21, the average number of SLN detected was 4.89±2.03 and the average number of ALN removed was 22.36±8.88. The number of SLN metastasis≥2 and positive lympho-vascular invasion were risk factors of non-SLN metastasis ( P< 0.05), but not the age, T stage and histological grade. In 132 patients from 2011-2012, a median follow-up of 9.1 years (interquartile range, 7.3-9.5 years), the non-SLN metastasis occurred in 60 cases (45.5%), DFS 70.8%, OS 85.9%; non-SLN non-metastasis occurred in 72 cases (54.5%), DFS 85.6%, OS 90.4%. There was no significant difference between two groups in DFS(χ² = 0.61, P = 0.43) and OS (χ² = 0.06, P = 0.81). Conclusions: The number of SLN metastasis≥2 and positive lympho-vascular invasion were risk factors of non-SLN metastasis. There were no significant differences between non-SLN metastasis group and non-metastasis group in DFS and OS.

PSC subtyping based on TTF-1 and p40 expression reveals distinct molecular characteristics and therapeutic strategies

Pulmonary sarcomatoid carcinoma (PSC) is a unique form of poorly differentiated non-small cell lung cancer (NSCLC) and is notorious for its highly malignant nature and dismal prognosis. To introduce effective treatment for PSC patients, precise subtyping of PSC is demanding. In our study, TTF-1 and P40 immunohistochemistry (IHC) staining were applied to 56 PSC patients with multi-omics data. According to IHC results, we categorized these patients into three subgroups and profiled their molecular contexture using bioinformatic skills. IHC results classified these patients into three subgroups: TTF-1 positive subgroup (n=27), P40 positive subgroup (n=15), and double-negative subgroup (n=14). Spindle cell samples accounted for 35.71% (5/14) of double-negative patients, higher than others (p=0.034). The three subgroups were heterogeneous in the genomic alteration spectrum, showing significant differences in the RTK/RAS pathway (p=0.004) and the cell cycle pathway (p=0.030). The methylation profile of the double-negative subgroup was between the other two subgroups. In similarity analysis, the TTF-1 and p40 subgroups were closely related to LUAD and LUSC, respectively. The TTF-1 positive subgroup had the highest leukocyte fraction (LF) among several cancer types, and the tumor mutation burden (TMB) of the p40 positive subgroup ranked third in the TMB list, suggesting the applicability of immunotherapy for PSC. The study established a new subtyping method of PSC based on IHC results and reveals 3 subgroups with distinct molecular features, providing evidence for refined stratification in the treatment of PSC. This article is protected by copyright. All rights reserved.

A Pan-Cancer Analysis of the Oncogenic Role of WD Repeat Domain 74 in Multiple Tumors

Although emerging patient-derived samples and cellular-based evidence support the relationship between WDR74 (WD Repeat Domain 74) and carcinogenesis in multiple cancers, no systematic pan-cancer analysis is available. Our preliminary research demonstrated that WDR74 is over-expressed in lung squamous cell carcinoma (LUSC) and related with worse survival. We thus investigated the potential oncogenic roles of WDR74 across 33 tumors based on the database of TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus). WDR74 is highly expressed in most cancers and correlated with poor prognosis in several cancers (all p < 0.05). Mutation analysis demonstrated that WDR74 is frequently mutated in promoter regions of lung cancer. Moreover, we found that CD8⁺ T-cells and the fibroblast infiltration level increased in WDR74 over-expressed cancer cells. The GO (Gene Ontology) enrichment analysis of the WDR74 pathway revealed its participation in cellular biogenesis of the RNA metabolism and its critical role in cancer initiation and progression through the tumor cell energy metabolism. Our first pan-cancer study inferred a relatively comprehensive understanding of the oncogenic roles of WDR74 across various cancers.

Reliability analysis of exonic-breakpoint fusions identified by DNA sequencing for predicting the efficacy of targeted therapy in non-small cell lung cancer

BACKGROUND

Diverse genomic breakpoints of fusions that localize to intronic, exonic, or intergenic regions have been identified by DNA next-generation sequencing (NGS), but the role of exonic breakpoints remains elusive. We investigated whether exonic-breakpoint fusions could predict matched targeted therapy efficacy in non-small cell lung cancer (NSCLC).

METHODS

NSCLC samples were analyzed by DNA NGS, RNA NGS, immunohistochemistry (IHC), and fluorescence in situ hybridization.

RESULTS

Using DNA NGS, kinase fusions were identified in 685 of 7148 (9.6%) NSCLCs, with 74 harboring exonic-breakpoint fusions, mostly anaplastic lymphoma kinase (ALK) fusions. RNA NGS and IHC revealed that 11 of 55 (20%) exonic-breakpoint fusions generated no aberrant transcript/protein, possibly due to open reading frame disruption or different gene transcriptional orientations. Four cases of genomic-positive but RNA/protein-negative fusions were treated with matched targeted therapy, but progressive disease developed within 2 months. Nevertheless, 44 of 55 (80%) exonic-breakpoint fusions produced chimeric transcripts/proteins, possibly owing to various alternative splicing patterns, including exon skipping, alternative splice site selection, and intron retention. Most of these genomic- and RNA/protein-positive fusion cases showed a clinical response to matched targeted therapy. Particularly, there were no differences in objective response rate (P = 0.714) or median progression-free survival (P = 0.500) between intronic-breakpoint (n = 56) and exonic-breakpoint ALK fusion subtypes (n = 11) among ALK RNA/protein-validated patients who received first-line crizotinib.

CONCLUSIONS

Exonic-breakpoint fusions may generate in-frame fusion transcripts/proteins or not, and thus are unreliable for predicting the efficacy of targeted therapy, which highlights the necessity of implementing RNA or protein assays for functional validation in exonic-breakpoint fusion cases.

Clinicopathologic characteristics and diagnostic methods of RET rearrangement in Chinese non-small cell lung cancer patients

Background

Rearranged during transfection (RET) rearrangement has been identified as one of the crucial oncogenic drivers in non-small cell lung cancer (NSCLC). Recently, two highly selective RET inhibitors have been approved by the US Food and Drug Administration and demonstrated remarkable responses. However, the clinical characteristics, outcomes and optimal diagnostic method of RET-rearrangements are not well understood. This study sought to evaluate the prevalence and characteristics of RET rearrangement, identify an effective diagnostic method for it, and correlate its presence with outcomes.

Methods

A total of 9,431 Chinese NSCLCs from two cancer centers who have undertaken targeted DNA-NGS were enrolled and 167 RET-positive cases were screened. Non-canonical RET rearrangements were confirmed by targeted RNA-NGS. If material was sufficient, positive cases were analyzed by fluorescence in situ hybridization (FISH) (n=30) and immunohistochemistry (IHC) (n=57). Clinicopathologic characteristics, molecular profiling and treatment outcomes of RET rearrangement were evaluated.

Results

The prevalence of RET rearrangement was 1.52% (138/9,101) in unfiltered cases and 8.79% (29/330) in EGFR/KRAS/BRAF/ALK-negative cases. RET rearrangement was common in females, never smokers, and lung adenocarcinoma patients. Additionally, 40.3% of stage IV RET-rearranged NSCLC patients developed brain metastases. TP53 was the most common concurrent mutation, and 8 patients harbored concurrent driver oncogenic alterations, including EGFR (N=5), KRAS (N=2), and ALK (N=1). Non-canonical fusion partners were identified in 13.8% (23/167) of cases by DNA-based NGS, and RNA-based NGS identified 3 new partners (EPS8, GOLGA5, and TNIP1). The concordance of FISH and NGS was 83.3% (25/30), while the concordance of IHC and NGS was only 28.1% (16/57). Both IHC and FISH demonstrated lower sensitivity for NCOA4-/other-RET fusions. The CCDC6-RET subgroup had significantly longer progression-free survival than the KIF5B-RET subgroup, both after chemotherapy (23 vs. 9.7 months; P=0.014).

Conclusions

RET rearrangement occurs in 1.52% of Chinese NSCLCs and has identifiable clinicopathologic characteristics. RET IHC has a low sensitivity, disavowing its use in routine practice. While NGS and FISH has good performance in identifying RET rearrangement. Both IHC and FISH demonstrated lower sensitivity for NCOA4-/others-RET fusions. Clinical benefit with chemotherapy is different between CCDC6-RET and KIF5B-RET fusion patients, optimal treatment should be considered when selecting therapies for patients with RET-rearranged lung cancers.

DrABC: deep learning accurately predicts germline pathogenic mutation status in breast cancer patients based on phenotype data

Background

Identifying breast cancer patients with DNA repair pathway-related germline pathogenic variants (GPVs) is important for effectively employing systemic treatment strategies and risk-reducing interventions. However, current criteria and risk prediction models for prioritizing genetic testing among breast cancer patients do not meet the demands of clinical practice due to insufficient accuracy.

Methods

The study population comprised 3041 breast cancer patients enrolled from seven hospitals between October 2017 and 11 August 2019, who underwent germline genetic testing of 50 cancer predisposition genes (CPGs). Associations among GPVs in different CPGs and endophenotypes were evaluated using a case-control analysis. A phenotype-based GPV risk prediction model named DNA-repair Associated Breast Cancer (DrABC) was developed based on hierarchical neural network architecture and validated in an independent multicenter cohort. The predictive performance of DrABC was compared with currently used models including BRCAPRO, BOADICEA, Myriad, PENN II, and the NCCN criteria.

Results

In total, 332 (11.3%) patients harbored GPVs in CPGs, including 134 (4.6%) in BRCA2, 131 (4.5%) in BRCA1, 33 (1.1%) in PALB2, and 37 (1.3%) in other CPGs. GPVs in CPGs were associated with distinct endophenotypes including the age at diagnosis, cancer history, family cancer history, and pathological characteristics. We developed a DrABC model to predict the risk of GPV carrier status in BRCA1/2 and other important CPGs. In predicting GPVs in BRCA1/2, the performance of DrABC (AUC = 0.79 [95% CI, 0.74–0.85], sensitivity = 82.1%, specificity = 63.1% in the independent validation cohort) was better than that of previous models (AUC range = 0.57–0.70). In predicting GPVs in any CPG, DrABC (AUC = 0.74 [95% CI, 0.69–0.79], sensitivity = 83.8%, specificity = 51.3% in the independent validation cohort) was also superior to previous models in their current versions (AUC range = 0.55–0.65). After training these previous models with the Chinese-specific dataset, DrABC still outperformed all other methods except for BOADICEA, which was the only previous model with the inclusion of pathological features. The DrABC model also showed higher sensitivity and specificity than the NCCN criteria in the multi-center validation cohort (83.8% and 51.3% vs. 78.8% and 31.2%, respectively, in predicting GPVs in any CPG). The DrABC model implementation is available online at http://gifts.bio-data.cn/.

Conclusions

By considering the distinct endophenotypes associated with different CPGs in breast cancer patients, a phenotype-driven prediction model based on hierarchical neural network architecture was created for identification of hereditary breast cancer. The model achieved superior performance in identifying GPV carriers among Chinese breast cancer patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13073-022-01027-9.

Mutation Landscape of Homologous Recombination Repair Genes in Epithelial Ovarian Cancer in China and Its Relationship With Clinicopathlological Characteristics

OBJECTIVE

The status of homologous recombination repair (HRR) gene mutations and their impact on the survival of patients with Chinese epithelial ovarian cancer (EOC) are still unclear. In this study, we retrospectively analyzed the mutations of HRR genes in tumor tissues and evaluated their values for predicting the survival of Chinese EOC patients.

METHODS

A total of 273 primary EOC patients from five different hospitals between 2015 and 2016 were recruited. All patients received staging surgeries or debulking surgeries combined with systemic platinum-based chemotherapy. DNA was extracted from formalin-fixed, paraffin-embedded sections and analyzed for mutations using a 21-gene panel (including 13 well-known HRR genes) by next-generation sequencing.

RESULTS

High-grade serous carcinoma (HGSOC) accounted for 76.2% of the cohort. A total of 34.1% (93/273) cases had 99 deleterious mutations in 9 HRR genes, namely, BRCA1 (56/273, 20.5%), BRCA2 (20/273, 7.3%), ATM (5/273, 1.8%), RAD51C (5/273, 1.8%), RAD51D (5/273, 1.8%), BRIP1 (2/273, 1.8%), CHEK2 (2/273, 0.7%), FANCI (2/273, 0.7%), and RAD54L (1/273, 0.4%). There is a strong mutual exclusion between HRR genes. The mutation landscape revealed several unappreciated deleterious variants in BRCA1/2 and other HRR genes reported previously. Estimated according to the mutation allele frequency, about 4.8% of the patients had potential somatic HRR gene mutations, which might be underestimated. Moreover, HRR mutations mainly exist in HGSOC (83/208, 39.9%), clear cell (2/30, 6.7%), and endometroid subtypes (8/20, 40%), but not seen in other rare subtypes. BRCA1 mutations tend to be present in younger patients with family history or multiple primary foci. Patients with BRCA1/2 mutations tend to have a longer progression-free survival and overall survival, while other HRR mutation carriers tend to have a shorter progression-free survival, but no significant difference in overall survival.

CONCLUSION

This study revealed the distribution of HRR gene mutations in Chinese EOC tissues. BRCA1/2 account for the majority of HRR gene mutations and predict long prognosis in HGSOC. Non-BRCA HRR mutations also account for a very important proportion and might be associated with poor prognosis in HGSOC. It is suggested that HRR gene mutations need to be detected in EOC tissues and germline status be further clarified in clinical algorithm for potential targeted therapy, genetic screening, and prognosis prediction.

Genomic features and tumor immune microenvironment alteration in NSCLC treated with neoadjuvant PD-1 blockade

Several clinical trials have shown the safety and effectiveness of PD-1/PD-L1 inhibitors in neoadjuvant therapy in resectable non-small cell lung cancer (NSCLC). However, 18–83% patients can benefit from it. In this study, we aimed to assess the association of PD-L1 expression, tumor mutation burden, copy number alteration (CNA, including copy number gain and loss) burden with the pathologic response to neoadjuvant PD-1 blockade and investigate the changes in the tumor immune microenvironment (TIME) during neoadjuvant immunotherapy in NSCLC. Pre-immunotherapy treatment tumor samples from twenty-nine NSCLC patients who received neoadjuvant immunotherapy with sintilimab, an anti-PD-1 drug, were subjected to targeted DNA sequencing and PD-L1 immunochemistry staining. The pathological response was positively correlated with tumor proportion score (TPS) of PD-L1 and negatively correlated with copy number gain (CNgain) burden. Of note, the combination of CNgain burden and TPS can better stratify major pathological response (MPR) patients than did CNgain or TPS alone. Whereas, TMB showed a limited correlation with pathological regression. Additionally, PD-1 blockade led to an increase in CD8⁺PD-1⁻T cells which was clinically relevant to MPR as evaluated by multiplex immunofluorescence. A significant reduction in CD19⁺ cells was observed in the Non-MPR group but not in the MPR group, indicating the involvement of B cells in improving neoadjuvant immunotherapy response in NSCLC. Together, our study provides new data for the correlation of PD-L1 expression and genomic factors with drug response in neoadjuvant immunotherapy settings in NSCLC. The changes of TIME may provide novel insight into the immune responses to neoadjuvant anti-PD-1 therapy.

Systemic Therapy for Hepatocellular Carcinoma: Chinese Consensus-Based Interdisciplinary Expert Statements

BACKGROUND

Hepatocellular carcinoma (HCC) is the most common type of liver cancer and causes many cancer-related deaths worldwide; in China, it is the second most prevalent cause of cancer deaths. Most patients are diagnosed clinically with advanced stage disease.

SUMMARY

For more than a decade, sorafenib, a small-molecular-weight tyrosine kinase inhibitor (SMW-TKI) was the only molecular targeted drug available with a survival benefit for the treatment of advanced HCC. With the development of novel TKIs and immune checkpoint inhibitors for advanced HCC, the management of patients has been greatly improved. However, though angiogenic-based targeted therapy remains the backbone for the systemic treatment of HCC, to date, no Chinese guidelines for novel molecular targeted therapies to treat advanced HCC have been established. Our interdisciplinary panel on the treatment of advanced HCC comprising hepatologists, hepatobiliary surgeons, oncologists, radiologists, pathologists, orthopedic surgeons, traditional Chinese medicine physicians, and interventional radiologists has reviewed the literature in order to develop updated treatment regimens.

KEY MESSAGES

Panel consensus statements for the appropriate use of new molecular -targeted drugs including doses, combination therapies, adverse reaction management as well as efficacy evaluation, and predictions for treatment of advanced HCC with evidence levels based on published data are presented, thereby providing an overview of molecular targeted therapies for healthcare professionals.

ASCL1 and DLL3 expressions and their clinicopathological implications in surgically resected pure small cell lung cancer: A study of 247 cases from the National Cancer Center of China

Objective

Methods

Results

Conclusion

Guidelines for clinical practice of ALK fusion detection in non-small-cell lung cancer: a proposal from the Chinese RATICAL study group

The presence of anaplastic lymphoma kinase (ALK) rearrangement defines a molecular subtype of non-small cell lung cancer (NSCLC). ALK inhibitors (ALKIs) confer significant clinical benefits in patients with ALK-positive advanced NSCLC; therefore, it is of great clinical significance to select accurate, rapid, and appropriate ALK testing methods to screen for patients who are suitable for anti-ALK treatment. In recent years, great progress has been made in the development and clinical application of ALKIs, as well as in our understanding of acquired drug resistance mechanisms. Meanwhile, new ALK companion diagnostic platforms have been developed and applied in clinical practice. Although many studies have shown that there is a high rate of concordance among these platforms, new problems continue to appear during testing. To maximize the benefit for patients, accurate testing results can be obtained by first selecting the appropriate testing method and then formulating, optimizing, and complying with the standardized testing process in accordance with the testing population and specimen types. With the ongoing accumulation of clinical practice data, experience from quality control of ALK testing, and results from multicenter research, an updated expert consensus is necessary. The experts who participated in the discussion and development of this guideline have a rich background in theoretical and clinical testing experience, which ensures the practical value of the information presented in this guideline.

Prognostic significance of tumor-infiltrating lymphocytes in premenopausal, luminal breast cancer treated with adjuvant endocrine therapy

PURPOSE

Tumor-infiltrating lymphocytes (TILs) have strong prognostic value in triple-negative and HER2-enriched breast cancer, but their prognostic role in luminal breast cancer (LBC) is less clear. Here, we assessed the overall TIL levels and CD8+ T-cells in relation to the prognosis of LBC patients from China.

METHODS AND RESULTS

A total of 596 patients with LBC who were premenopausal and treated with adjuvant endocrine therapy were included. Among them, 160 cases were evaluated for CD8 by immunohistochemical (IHC) staining. Whole-section hematoxylin and eosin and IHC staining were visually assessed for stromal TILs (sTILs), stromal CD8+ T-cells (sCD8), and intratumoral CD8+ T-cells (iCD8). Multivariable analyses were used to test the associations between TILs and disease-free survival (DFS) and overall survival (OS) with the adjustment for clinicopathologic characteristics and treatment. High sTILs (≥10%) were associated with high histologic grade (P<0.001), luminal B/HER2- (P<0.001), luminal B/HER2+ subtype (P=0.002), and high Ki67 expression (≥25%; P=0.014). Similar associations were observed for sCD8 but not for iCD8. While sTILs and sCD8 were not associated with either DFS or OS, the presence of iCD8 (≥1%) was associated with better DFS in both univariate (HR=0.51, 95% CI 0.26-0.96, P=0.042) and multivariate (HR=0.48, 95% CI 0.25-0.92, P=0.027) analyses. Similar but less significant associations were found for iCD8 and OS (adjusted HR=0.35, 95% CI 0.11-1.10, P=0.073).

CONCLUSIONS

Among Chinese premenopausal patients with LBC, iCD8 demonstrated suggestive associations with favorable outcome. In contrast, although sTILs and sCD8 were associated with more aggressive tumor features, they did not appear to be associated with clinical outcome.