JCO precision oncology最新文献

Purpose: PD-1 inhibition is effective in patients with mismatch repair deficient (dMMR) solid tumors in a tumor-agnostic fashion. However, dMMR testing by immunohistochemistry (IHC) is not routinely performed across tumor types. By contrast, next-generation sequencing (NGS) for somatic genomic alterations is frequently performed across tumor types. We hypothesized that NGS would identify patients with alterations in mismatch repair (MMR) genes and that these patients would have higher rates of MMR protein loss by IHC. This would support the utility of IHC reflex testing after NGS and potential matching to approved therapeutic options.

Methods: From January 2016 to December 2021, 15,701 patients with solid tumors received NGS covering the MMR genes, and 4,994 patients had both IHC and NGS. Sequencing results were analyzed for mutations in MMR genes, tumor type distribution, and concordance with IHC results when available.

Results: Six hundred and ninety-eight (4.4%) of 15,701 patients had mutations in one of the MMR genes. Mutations were found across tumor types. Three hundred and seventeen (6.3%) of 4,994 patients displayed IHC loss for at least one MMR protein. 33.8% patients (110/325) patients with MMR mutations had dMMR, compared with just 4.4% (207/4,669) patients without mutations (P < .001); dMMR rate varied by mutation type.

Conclusion: Mutations in MMR genes are found in multiple tumor types where IHC testing is not routine. Reflex IHC testing of patients carrying MMR gene mutations, especially those known or inferred to be inactivating, may identify more patients with dMMR and matched treatment options. However, dedicated IHC screening is needed to capture majority of the patients.

Purpose: The proven efficacy of human epidermal growth factor receptor 2 (HER2) antibody-drug conjugate therapy for treating HER2-low breast cancers necessitates more accurate and reproducible HER2 immunohistochemistry (IHC) scoring. We aimed to validate performance and utility of a fully automated artificial intelligence (AI) solution for interpreting HER2 IHC in breast carcinoma.

Materials and methods: A two-arm multireader study of 120 HER2 IHC whole-slide images from four sites assessed HER2 scoring by four surgical pathologists without and with the aid of an AI HER2 solution. Both arms were compared with high-confidence ground truth (GT) established by agreement of at least four of five breast pathology subspecialists according to ASCO/College of American Pathologists (CAP) 2018/2023 guidelines.

Results: The mean interobserver agreement among GT pathologists across all HER2 scores was 72.4% (N = 120). The AI solution demonstrated high accuracy for HER2 scoring, with 92.1% agreement on slides with high confidence GT (n = 92). The use of the AI tool led to improved performance by readers, interobserver agreement increased from 75.0% for digital manual read to 83.7% for AI-assisted review, and scoring accuracy improved from 85.3% to 88.0%. For the distinction of HER2 0 from 1+ cases (n = 58), pathologists supported by AI showed significantly higher interobserver agreement (69.8% without AI v 87.4% with AI) and accuracy (81.9% without AI v 88.8% with AI).

Conclusion: This study demonstrated utility of a fully automated AI solution to aid in scoring HER2 IHC accurately according to ASCO/CAP 2018/2023 guidelines. Pathologists supported by AI showed improvements in HER2 IHC scoring consistency and accuracy, especially for distinguishing HER2 0 from 1+ cases. This AI solution could be used by pathologists as a decision support tool for enhancing reproducibility and consistency of HER2 scoring and particularly for identifying HER2-low breast cancers.

CD8⁺ tumor-infiltrating lymphocytes (TILs) are increasingly used in oncology as a prognostic and predictive tool to guide patient management. This review summarizes current literature on CD8⁺ TILs in head and neck squamous cell carcinoma (SCC). Published meta-analyses and clinical trials evaluating CD8⁺ TILs were analyzed. Consistent positive associations between elevated CD8⁺ TILs and overall survival have been observed across head and neck sites. CD8⁺ TILs have been found to predict response to treatment, most commonly immunotherapy, but also chemoradiation. Numerous trials have shown that increased CD8⁺ TIL frequencies in pretreatment biopsies could identify patients likely to respond to neoadjuvant therapies. CD8⁺ TIL infiltration has also been elevated in responders both during and after treatment. However, wider adoption of CD8⁺ TIL quantification as a biomarker has been limited by the need for clinical validation and universal measurement guidelines for head and neck SCC, as there are for other malignancies. Measurement variability includes which tumor compartment is sampled, how TILs are quantified, and which cutoffs are clinically relevant. For several head and neck SCC, measurement of CD8⁺ TILs in the central or intratumoral compartment, followed by the stromal compartment, has been most consistently associated with survival. Future studies are needed to evaluate subpopulations of CD8⁺ TILs and biomarker-based treatment selection.

Purpose: In lung squamous cell carcinoma (LUSC), Black patients show significantly higher incidence and lower overall survival than White patients. Although socioeconomic factors likely contribute to this survival disparity, genomic factors have yet to be elucidated in LUSC.

Methods: Using 416 LUSC tumor samples in the Cancer Genome Atlas (TCGA), we assessed genomic and transcriptomic profiles by ancestry. We replicated our analyses in pan-cancer data from TCGA, the American Association of Cancer Research (AACR) Genomics Evidence Neoplasia Information Exchange (GENIE), and Columbia University Medical Center.

Results: We found increased MYC amplification, LUSC-specific MYC enhancer amplification, and chromosome arm 8q (chr8q) gain to be significantly associated with genetic AFR (African) ancestry in LUSC in TCGA. Furthermore, expression of MYC target genes was significantly enriched in AFR samples. Local ancestry analysis identified correlation of chr8q gain with AFR ancestry at the MYC locus in TCGA. We also found a significant correlation between chr8q and AFR ancestry in multiple cancer types and pan-cancer in TCGA. Similarly, in a pan-cancer subset of AACR GENIE data, we found a significant correlation between chr8q gain and race.

Conclusion: Together, our data suggest that ancestry may influence amplification of not only MYC but also its enhancer in LUSC. They also suggest a role for genetic ancestry in chr8q aneuploidy in cancer. These studies further define and expand patients who may benefit from future anti-MYC therapeutic approaches.

Purpose: Nuclear protein in testis carcinoma (NC) is an underdiagnosed and aggressive squamous/poorly differentiated cancer characterized by rearrangement of the gene NUTM1 on chromosome 15q14. Co-occurring alternations have not been fully characterized.

Methods: We analyzed the genomic and immune landscape of 54 cases of NC that underwent DNA- and RNA-based NGS sequencing (Caris).

Results: While NC is driven by NUTM1 fusion oncoproteins, co-occurring DNA mutations in epigenetic or cell cycle pathways were observed in 26% of cases. There was no significant difference between the fusion partner of NUTM1 and co-occurring gene mutations. RNA sequencing analysis showed increased MYC pathway activity in NC compared with head and neck squamous cell carcinoma (HNSCC) and lung squamous cell carcinoma (LUSC), which is consistent with the known pathophysiology of NC. Characterization of the NC tumor microenvironment using RNA sequencing revealed significantly lower immune cell infiltration compared with HNSCC and LUSC. NC was 10× higher in patients with HNSCC and LUSC younger than 50 years than in those older than 70 years.

Conclusion: To our knowledge, this is the first series of NC profiled broadly at the DNA and RNA level. We observed fewer intratumoral immune cells by RNA sequencing, which may be associated with anecdotal data of lack of immunotherapy benefit in NC. High MYC pathway activity in NC supports ongoing trials targeting MYC suppression. The incidence of NC among patients younger than 50 years with LUSC/HNSCC supports testing for NC in these patients. The prognosis of NCs remains dismal, and future studies should focus on improving the response to immunotherapy and targeting MYC.

Purpose: Precision oncology relies on accurate and interpretable reporting of testing and mutation rates. Focusing on the BRAFV600 mutations in advanced colorectal carcinoma, non-small-cell lung carcinoma, and cutaneous melanoma, we developed a platform displaying testing and mutation rates reported in the literature, which we annotated using an artificial intelligence (AI) and natural language processing (NLP) pipeline.

Methods: Using AI, we identified publications that likely reported a testing or mutation rate, filtered publications for cancer type, and identified sentences that likely reported rates. Rates and covariates were subsequently manually curated by three experts. The AI performance was evaluated using precision and recall metrics. We used an interactive platform to explore and present the annotated testing and mutation rates by certain study characteristics.

Results: The interactive dashboard, accessible at the BRAF dimensions website, enables users to filter mutation and testing rates with relevant options (eg, country of study, study type, mutation type) and to visualize annotated rates. The AI pipeline demonstrated excellent filtering performance (>90% precision and recall for all target cancer types) and moderate performance for sentence classification (53%-99% precision; ≥75% recall). The manual annotation of testing and mutation rates revealed inter-rater disagreement (testing rate, 19%; mutation rate, 70%), indicating unclear or nonstandard reporting of rates in some publications.

Conclusion: Our AI-driven NLP pipeline demonstrated the potential for annotating biomarker testing and mutation rates. The difficulties we encountered highlight the need for more advanced AI-powered literature searching and data extraction, and more consistent reporting of testing rates. These improvements would reduce the risk of misinterpretation or misunderstanding of testing and mutation rates by AI-based technologies and the health care community, with beneficial impacts on clinical decision-making, research, and trial design.

Purpose: Using the prostate, lung, colorectal, and ovarian (PLCO) Cancer Screening Trial samples, we identified cell-free DNA (cfDNA) candidate biomarkers bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that detected occult colorectal cancer (CRC) up to 36 months before clinical diagnosis.

Materials and methods: We performed the 5hmC-seal assay and sequencing on ≤8 ng cfDNA extracted from PLCO study participant plasma samples, including n = 201 cases (diagnosed with CRC within 36 months of blood collection) and n = 401 controls (no cancer diagnosis on follow-up). We conducted association studies and machine learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio.

Results: We successfully obtained 5hmC profiles from these decades-old samples. A weighted Cox model of 32 5hmC-modified gene bodies showed a predictive detection value for CRC as early as 36 months before overt tumor diagnosis (training set AUC, 77.1% [95% CI, 72.2 to 81.9] and validation set AUC, 72.8% [95% CI, 65.8 to 79.7]). Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and race/ethnicity, and significantly outperformed risk factors such as age and obesity (assessed as BMI). Finally, when splitting cases at median weighted prediction scores, Kaplan-Meier analyses showed significant risk stratification for CRC occurrence in both the training set (hazard ratio, [HR], 3.3 [95% CI, 2.6 to 5.8]) and validation set (HR, 3.1 [95% CI, 1.8 to 5.8]).

Conclusion: Candidate 5hmC biomarkers and a scoring algorithm have the potential to predict CRC occurrence despite the absence of clinical symptoms and effective predictors. Developing a minimally invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient outcomes.

Purpose: The new CAP guideline published in August 2022 recommends using immunohistochemistry (IHC) to test for mismatch repair defects in gastroesophageal (GE), small bowel (SB), or endometrial carcinoma (EC) cancers over next-generation sequencing assessment of microsatellite instability (NGS-MSI) for immune checkpoint inhibitor (ICI) therapy eligibility and states there is a preference to use IHC over NGS-MSI in colorectal carcinoma (CRC).

Methods: We assessed the concordance of NGS-MSI and IHC-MMR from a very large cohort across the spectrum of solid tumors.

Results: Of the over 190,000 samples with both NGS-MSI and IHC-MMR about 1,160 were initially flagged as discordant. Of those samples initially flagged as discordant, 50.9% remained discordant after being reviewed by an additional pathologist. This resulted in a final discordance rate of 0.31% (590/191,767). Among CRC, GE, SB and EC, 55.4% of mismatch repair proficient/MSI high (MMRp/MSI-H) tumors had at least one somatic pathogenic mutation in an MMR gene or POLE. Mismatch repair deficient/microsatellite stable (MMRd/MSS) tumors had a significantly lower rate of high tumor mutational burden than MMRp/MSI-H tumors. Across all solid tumors, MMRd/MSI-H tumors had significantly longer overall survival (OS; hazard ratio [HR], 1.47, P < .001) and post-ICI survival (HR, 1.82, P < .001) as compared with MMRp/MSS tumors. The OS for the MMRd/MSS group was slightly worse compared to the MMRp/MSI-H tumors, but this difference was not statistically significant (HR, 0.73, P = .058), with a similar pattern when looking at post-ICI survival (HR, 0.43, P = .155).

Conclusion: This study demonstrates that NGS-MSI is noninferior to IHC-MMR and can identify MSI-H tumors that IHC-MMR is unable to detect and conversely IHC-MMR can identify MMRd tumors that NGS-MSI misses.

Purpose: Targeted Agent and Profiling Utilization Registry is a phase II basket trial evaluating the antitumor activity of commercially available targeted agents in patients with advanced cancer and targetable genomic alterations. Two cohorts of patients with cyclin-dependent kinase inhibitor 2A (CDKN2A)-mutated tumors treated with palbociclib are reported: one with head and neck cancer (HNC) with both squamous and nonsquamous cell histologies, and one with histology-pooled (HP) cancers.

Methods: Eligible patients had measurable disease, Eastern Cooperative Oncology Group performance status 0-2, adequate organ function, and no standard treatment options. The primary end point was disease control (DC), defined as objective response (OR) or stable disease (SD) of at least 16+ weeks duration. For the HNC cohort, Simon's two-stage design with a null DC rate of 15% versus 35% (power = 0.85; α = .10) was used. For the HP cohort, the null hypothesis of a DC rate of 15% was rejected if the lower limit of a one-sided 90% CI was >15%. Secondary end points included OR, safety, progression-free survival, overall survival, duration of response, and duration of SD.

Results: Seventy patients with HNC (N = 28) or HP cancers (N = 42) were treated with palbociclib. For the HNC cohort, DC and OR rates were 40% (one-sided 90% CI, 27 to 100) and 4% (95% CI, <1 to 18), respectively. The null hypothesis was rejected (P = .002). For the HP cohort, DC and OR rates were 13% (one-sided 90% CI, 6 to 100) and 5% (95% CI, <1 to 17), respectively. The null hypothesis was not rejected. Thirty-one of 70 patients experienced treatment-related grade 3 to 4 adverse events (AEs) or serious AEs, the most common including neutropenia, thrombocytopenia, and leukopenia.

Conclusion: Palbociclib met prespecified criteria to declare a signal of activity in patients with HNC with CDKN2A alterations, but not in the HP cohort.