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Background: CDK12 inactivation leading to increased neoantigen burden has been hypothesized to sensitize tumors to immune checkpoint inhibition. Pan‐cancer data regarding the frequency of CDK12 alterations are limited. We aimed to characterize CDK12 alterations across all cancer types through real‐world clinical‐grade sequencing. Methods: This was a single‐center retrospective analysis of 4994 cancer patients who underwent tissue or blood genomic profiling, including CDK12 assessment, conducted as part of routine care from December 2012 to January 2020. Prevalence, clinical characteristics, and treatment outcomes of patients with tumors with pathogenic CDK12 alterations were described. Results: In all, 39 (0.78%, n = 39/4994) patients had pathogenic CDK12 alterations. Among CDK12‐altered tumors, the most common organ site was prostate (n = 9, 23.1%) followed by colorectal (n = 5, 12.8%). Adenocarcinoma was the most common histology (n = 26, 66.7%). Median follow‐up from time of diagnosis was 4.02 years. Median overall survival from time of metastasis was 4.43 years (95% CI: 3.11–5.74). Ten patients with CDK12‐altered tumors received at least one immune checkpoint inhibitor‐containing regimen. The majority of patients (n = 6/10, 60%) experienced an objective response. Progression‐free survival for patients who had metastatic disease and received a checkpoint inhibitor‐containing regimen was 1.16 years (95% CI: 0.32–2.00). Conclusion: CDK12 alterations are rare events across hematologic and solid tumor malignancies. They represent a clinically distinct molecular cancer subtype which may have increased responsiveness to checkpoint inhibition. Prospective studies are warranted to investigate checkpoint inhibition in CDK12‐altered tumors. [ABSTRACT FROM AUTHOR]

Background: Little is known regarding the rate and clinical outcomes of asymptomatic carriers of SARS-CoV-2 among patients with cancer. Detection of asymptomatic carriers is important in this population given the use of myelosuppressive and immunomodulating therapies. Understanding the asymptomatic carrier rate will help to develop mitigation strategies in this high-risk cohort. Methods: Retrospective cohort analysis of an asymptomatic screening protocol which required patients receiving infusional anti-cancer therapy to undergo a symptom/exposure screen and SARS-CoV-2 PCR testing 24-96 h prior to their infusion. The primary outcome of this analysis was the rate of asymptomatic SARS-CoV-2 infection. Secondary outcomes included the rate of COVID-19-related hospitalization and mortality and delays in oncologic therapy. Results: Among a cohort of 2691 cancer patients who underwent asymptomatic screening, 1.6% (N = 43/2691) of patients were found to be SARS-CoV-2 positive on asymptomatic screening. 11.6% (N = 5/43) of the cohort ultimately developed COVID-19-related symptoms. Four patients required hospitalization for complications of COVID-19 infection. No patient died from COVID-related complications. 97.7% (N = 42/43) had their anti-cancer therapy delayed or deferred with a median delay of 21 days (range: 7-77 days). Conclusions: Overall, among a cohort of active cancer patients receiving anti-cancer therapy, an asymptomatic SARS-CoV2 PCR-based screening protocol detected a small cohort of asymptomatic carriers. The majority of these patients remained asymptomatic on long-term follow-up and outcomes were much more favorable compared to previously described outcomes of cancer patients with symptomatic COVID-19 infection. [ABSTRACT FROM AUTHOR]

Importance: Cytokine storm due to COVID-19 can cause high morbidity and mortality and may be more common in patients with cancer treated with immunotherapy (IO) due to immune system activation., Objective: To determine the association of baseline immunosuppression and/or IO-based therapies with COVID-19 severity and cytokine storm in patients with cancer., Design, Setting, and Participants: This registry-based retrospective cohort study included 12 046 patients reported to the COVID-19 and Cancer Consortium (CCC19) registry from March 2020 to May 2022. The CCC19 registry is a centralized international multi-institutional registry of patients with COVID-19 with a current or past diagnosis of cancer. Records analyzed included patients with active or previous cancer who had a laboratory-confirmed infection with SARS-CoV-2 by polymerase chain reaction and/or serologic findings., Exposures: Immunosuppression due to therapy; systemic anticancer therapy (IO or non-IO)., Main Outcomes and Measures: The primary outcome was a 5-level ordinal scale of COVID-19 severity: no complications; hospitalized without requiring oxygen; hospitalized and required oxygen; intensive care unit admission and/or mechanical ventilation; death. The secondary outcome was the occurrence of cytokine storm., Results: The median age of the entire cohort was 65 years (interquartile range [IQR], 54-74) years and 6359 patients were female (52.8%) and 6598 (54.8%) were non-Hispanic White. A total of 599 (5.0%) patients received IO, whereas 4327 (35.9%) received non-IO systemic anticancer therapies, and 7120 (59.1%) did not receive any antineoplastic regimen within 3 months prior to COVID-19 diagnosis. Although no difference in COVID-19 severity and cytokine storm was found in the IO group compared with the untreated group in the total cohort (adjusted odds ratio [aOR], 0.80; 95% CI, 0.56-1.13, and aOR, 0.89; 95% CI, 0.41-1.93, respectively), patients with baseline immunosuppression treated with IO (vs untreated) had worse COVID-19 severity and cytokine storm (aOR, 3.33; 95% CI, 1.38-8.01, and aOR, 4.41; 95% CI, 1.71-11.38, respectively). Patients with immunosuppression receiving non-IO therapies (vs untreated) also had worse COVID-19 severity (aOR, 1.79; 95% CI, 1.36-2.35) and cytokine storm (aOR, 2.32; 95% CI, 1.42-3.79)., Conclusions and Relevance: This cohort study found that in patients with cancer and COVID-19, administration of systemic anticancer therapies, especially IO, in the context of baseline immunosuppression was associated with severe clinical outcomes and the development of cytokine storm., Trial Registration: ClinicalTrials.gov Identifier: NCT04354701.

Background: Older age is associated with poorer outcomes of SARS-CoV-2 infection, although the heterogeneity of ageing results in some older adults being at greater risk than others. The objective of this study was to quantify the association of a novel geriatric risk index, comprising age, modified Charlson comorbidity index, and Eastern Cooperative Oncology Group performance status, with COVID-19 severity and 30-day mortality among older adults with cancer., Methods: In this cohort study, we enrolled patients aged 60 years and older with a current or previous cancer diagnosis (excluding those with non-invasive cancers and premalignant or non-malignant conditions) and a current or previous laboratory-confirmed COVID-19 diagnosis who reported to the COVID-19 and Cancer Consortium (CCC19) multinational, multicentre, registry between March 17, 2020, and June 6, 2021. Patients were also excluded for unknown age, missing data resulting in unknown geriatric risk measure, inadequate data quality, or incomplete follow-up resulting in unknown COVID-19 severity. The exposure of interest was the CCC19 geriatric risk index. The primary outcome was COVID-19 severity and the secondary outcome was 30-day all-cause mortality; both were assessed in the full dataset. Adjusted odds ratios (ORs) and 95% CIs were estimated from ordinal and binary logistic regression models., Findings: 5671 patients with cancer and COVID-19 were included in the analysis. Median follow-up time was 56 days (IQR 22-120), and median age was 72 years (IQR 66-79). The CCC19 geriatric risk index identified 2365 (41·7%) patients as standard risk, 2217 (39·1%) patients as intermediate risk, and 1089 (19·2%) as high risk. 36 (0·6%) patients were excluded due to non-calculable geriatric risk index. Compared with standard-risk patients, high-risk patients had significantly higher COVID-19 severity (adjusted OR 7·24; 95% CI 6·20-8·45). 920 (16·2%) of 5671 patients died within 30 days of a COVID-19 diagnosis, including 161 (6·8%) of 2365 standard-risk patients, 409 (18·5%) of 2217 intermediate-risk patients, and 350 (32·1%) of 1089 high-risk patients. High-risk patients had higher adjusted odds of 30-day mortality (adjusted OR 10·7; 95% CI 8·54-13·5) than standard-risk patients., Interpretation: The CCC19 geriatric risk index was strongly associated with COVID-19 severity and 30-day mortality. Our CCC19 geriatric risk index, based on readily available clinical factors, might provide clinicians with an easy-to-use risk stratification method to identify older adults most at risk for severe COVID-19 as well as mortality., Funding: US National Institutes of Health National Cancer Institute Cancer Center., Competing Interests: The following authors declare competing interests not related to the current work: ZB reports grants from Genentech/imCORE, non-financial support from Bristol Myers Squibb, and personal fees from UpToDate. AE reports salary support from the Canadian Institute of Health Research, the Detweiler Travelling Fellowship (Royal College of Physicians and Surgeons of Canada), and the Henry R Shibata Fellowship (Cedar's Cancer Foundation). CRF reports grants from Merck Foundation, NCCN/Pfizer, and National Cancer Institute, and other support from National Cancer Institute and the Patient-Centered Outcomes Research Institute. PGri reports personal fees and non-financial support from AstraZeneca, personal fees from Astellas Pharma, personal fees from Bayer, grants and personal fees from Bristol Myers Squibb, grants and non-financial support from Clovis Oncology, personal fees from Dyania Health, grants and personal fees from EMD Serono, personal fees from Exelixis, personal fees from Foundation Medicine, personal fees from Genentech/Roche, personal fees from Genzyme, grants and personal fees from GlaxoSmithKline, personal fees from Guardant Health, grants and personal fees from Immunomedics/Gilead, personal fees from Infinity Pharmaceuticals, personal fees from Janssen, grants and personal fees from Merck, grants and personal fees from Mirati Therapeutics, grants and personal fees from Pfizer, grants and personal fees from QED Therapeutics, personal fees from Regeneron Pharmaceuticals, personal fees from Seattle Genetics, personal fees from 4D Pharma, personal fees from UroGen, grants from Bavarian Nordic, and grants from Debiopharm. SGup reports grants and personal fees from Bristol Myers Squibb, personal fees from Merck, Janssen, Seattle Genetis, EMD Sorono, and Pfizer, and grants from Astellas and BMS. CHw reports grants from Merck, Bayer, and AstraZeneca, and personal fees from Tempus and EMD Sorono, and other support from Johnson and Johnson. AK reports other support from TESARO, Fibrogen, Geistlich Pharma, Astellas Pharma, Rafael Pharmaceuticals, and Novocure. ARK reports other support from Merck and Sanofi, personal fees from OncLive, grants from ASCO Conquer Cancer Foundation, and grants from Bladder Cancer Advocacy Network. HK reports position on advisory board of Sanofi Genzyme NSCLC Northeast. NMK reports personal fees from BMS, Janssen, Seattle Genetics, Celldex, Sandoz, Invitae, Beyond Spring, Spectrum G1 Therapeutics, and Total Health, and grants from Amgen, Jazz Therapeutics, G1 Therapeutics, and Samsung. CL reports grants from imCORE/Genentech. RRM reports serving on advisory board or as a consultant for Astrazeneca, Aveo, Bayer, BMS, Caris, Dendreon, Exelixis, Janssen, Merck, Myovant, Novartis, Pfizer, Sanofi, Sorrento Therapeutics, and Tempus. RRM received institutional research funding from Pfizer, Bayer, Tempus. SM reports personal fees from National Geographic. OAP reports grants from National Institutes of Health (NIH) and Agency for Healthcare Research and Quality, and personal fees from International Consulting Associates. NAP reports personal fees from AstraZeneca, Merck, Pfizer, Eli Lilly, Genentech, BMS, Amgen, Inivata, G1 Therapeutics, Xencor, Mirati, Janssen, Boehringer Ingelheim, and Sanofi-Genzyme-Regeneron. RPR reports grants from BMS and Janssen, and personal fees from BMS, Janssen, Dova, and Inari. MAT reports personal fees from VIA Oncology, GSK, and Adaptive Advisory Board, other support from Syapse, UpToDate, Takeda, Celgene, Doximity, AbbVie, BMS, CRAB CTC, Denovo, Hoosier Research Network, Lilly, LynxBio, Strata Oncology, and TG Therapeutics. JLW reports personal fees from Roche, Westat, Flatiron Health, Melax Tech, and IBM Watson Health, other support from HemOnc and Janssen, and grants from AACR. TMW reports personal fees from Carevive, and personal fees from Sanofi, and Seattle Genetics. TMW-D reports grants from BMS, Merck, Janssen, and GSK/Tesaro, personal fees from Exicure, Shattuck Labs, Merck, Caris Life Science, and SITC, and other support from High Enroll. EW-B reports grants from Pfizer Global Medical Grants, personal fees from Astellas, Aveo Oncology Bristol Myers Squibb, Exelixis, and Janssen, and other support from Immunomedics and Nektar. The following authors declare competing interests during the conduct of the study: SM reports grants and other support from National Cancer Institute and from the International Association for the Study of Lung Cancer. DPS reports grants from American Cancer Society and Hope Foundation for Cancer Research and from NIH. LT reports grants from NIH. JLW reports grants from NIH. All other authors declare no competing interests., (© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.)

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography., Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer., Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States., Exposures: Patient residence was categorized into 9 US census divisions. Cancer center characteristics included academic or community classification, rural-urban continuum code (RUCC), and social vulnerability index., Main Outcomes and Measures: The primary outcome was 30-day all-cause mortality. The secondary composite outcome consisted of receipt of mechanical ventilation, intensive care unit admission, and all-cause death. Multilevel mixed-effects models estimated associations of center-level and census division-level exposures with outcomes after adjustment for patient-level risk factors and quantified variation in adjusted outcomes across centers, census divisions, and calendar time., Results: Data for 4749 patients (median [IQR] age, 66 [56-76] years; 2439 [51.4%] female individuals, 1079 [22.7%] non-Hispanic Black individuals, and 690 [14.5%] Hispanic individuals) were reported from 83 centers in the Northeast (1564 patients [32.9%]), Midwest (1638 [34.5%]), South (894 [18.8%]), and West (653 [13.8%]). After adjustment for patient characteristics, including month of COVID-19 diagnosis, estimated 30-day mortality rates ranged from 5.2% to 26.6% across centers. Patients from centers located in metropolitan areas with population less than 250 000 (RUCC 3) had lower odds of 30-day mortality compared with patients from centers in metropolitan areas with population at least 1 million (RUCC 1) (adjusted odds ratio [aOR], 0.31; 95% CI, 0.11-0.84). The type of center was not significantly associated with primary or secondary outcomes. There were no statistically significant differences in outcome rates across the 9 census divisions, but adjusted mortality rates significantly improved over time (eg, September to November vs March to May: aOR, 0.32; 95% CI, 0.17-0.58)., Conclusions and Relevance: In this registry-based cohort study, significant differences in COVID-19 outcomes across US census divisions were not observed. However, substantial heterogeneity in COVID-19 outcomes across cancer care delivery centers was found. Attention to implementing standardized guidelines for the care of patients with cancer and COVID-19 could improve outcomes for these vulnerable patients.

Importance: Androgen deprivation therapy (ADT) has been theorized to decrease the severity of SARS-CoV-2 infection in patients with prostate cancer owing to a potential decrease in the tissue-based expression of the SARS-CoV-2 coreceptor transmembrane protease, serine 2 (TMPRSS2)., Objective: To examine whether ADT is associated with a decreased rate of 30-day mortality from SARS-CoV-2 infection among patients with prostate cancer., Design, Setting, and Participants: This cohort study analyzed patient data recorded in the COVID-19 and Cancer Consortium registry between March 17, 2020, and February 11, 2021. The consortium maintains a centralized multi-institution registry of patients with a current or past diagnosis of cancer who developed COVID-19. Data were collected and managed using REDCap software hosted at Vanderbilt University Medical Center in Nashville, Tennessee. Initially, 1228 patients aged 18 years or older with prostate cancer listed as their primary malignant neoplasm were included; 122 patients with a second malignant neoplasm, insufficient follow-up, or low-quality data were excluded. Propensity matching was performed using the nearest-neighbor method with a 1:3 ratio of treated units to control units, adjusted for age, body mass index, race and ethnicity, Eastern Cooperative Oncology Group performance status score, smoking status, comorbidities (cardiovascular, pulmonary, kidney disease, and diabetes), cancer status, baseline steroid use, COVID-19 treatment, and presence of metastatic disease., Exposures: Androgen deprivation therapy use was defined as prior bilateral orchiectomy or pharmacologic ADT administered within the prior 3 months of presentation with COVID-19., Main Outcomes and Measures: The primary outcome was the rate of all-cause 30-day mortality after COVID-19 diagnosis for patients receiving ADT compared with patients not receiving ADT after propensity matching., Results: After exclusions, 1106 patients with prostate cancer (before propensity score matching: median age, 73 years [IQR, 65-79 years]; 561 (51%) self-identified as non-Hispanic White) were included for analysis. Of these patients, 477 were included for propensity score matching (169 who received ADT and 308 who did not receive ADT). After propensity matching, there was no significant difference in the primary end point of the rate of all-cause 30-day mortality (OR, 0.77; 95% CI, 0.42-1.42)., Conclusions and Relevance: Findings from this cohort study suggest that ADT use was not associated with decreased mortality from SARS-CoV-2 infection. However, large ongoing clinical trials will provide further evidence on the role of ADT or other androgen-targeted therapies in reducing COVID-19 infection severity.

Purpose: Cyclin and MAPK/MEK-related gene alterations are implicated in cell-cycle progression and cancer growth. Yet, monotherapy to target the cyclin (CDK4/6) or the MEK pathway has often yielded disappointing results. Because coalterations in cyclin and MEK pathway genes frequently cooccur, we hypothesized that resistance to CDK4/6 or MEK inhibitor monotherapy might be mediated via activation of oncogenic codrivers, and that combination therapy might be useful., Experimental Design: Herein, we describe 9 patients with advanced malignancies harboring concomitant CDKN2A and/or CDKN2B alterations (upregulate CDK4/6) along with KRAS or BRAF alterations (activate the MEK pathway) who were treated with palbociclib (CDK4/6 inhibitor) and trametinib (MEK inhibitor) combination-based regimens., Results: Two patients (with pancreatic cancer) achieved a partial remission (PR) and, overall, 5 patients (56%) had clinical benefit (stable disease ≥ 6 months/PR) with progression-free survival of approximately 7, 9, 9, 11, and 17.5+ months. Interestingly, 1 of these patients whose cancer (gastrointestinal stromal tumor) had progressed on MEK targeting regimen, did well for about 1 year after palbociclib was added., Conclusions: These observations suggest that cotargeting cyclin and MEK signaling can be successful when tumors bear genomic coalterations that activate both of these pathways. Further prospective studies using this matching precision strategy to overcome resistance are warranted. See related commentary by Groisberg and Subbiah, p. 2672 ., (©2021 American Association for Cancer Research.)

Background: Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness., Methods: In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing., Findings: Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53-2·21), male sex (1·63, 1·07-2·48), smoking status (former smoker vs never smoked: 1·60, 1·03-2·47), number of comorbidities (two vs none: 4·50, 1·33-15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11-7·18), active cancer (progressing vs remission: 5·20, 2·77-9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79-4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07-0·84) or the US-Midwest (0·50, 0·28-0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality., Interpretation: Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments., Funding: American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research., (Copyright © 2020 Elsevier Ltd. All rights reserved.)