Journal of the National Cancer Institute最新文献

{"title":"County-level jail and state-level prison incarceration and cancer mortality in the United States","authors":"Jingxuan Zhao, Sandhya Kajeepeta, Christopher R Manz, Xuesong Han, Leticia M Nogueira, Zhiyuan Zheng, Qinjin Fan, Kewei Sylvia Shi, Fumiko Chino, K Robin Yabroff","doi":"10.1093/jnci/djae189","DOIUrl":"https://doi.org/10.1093/jnci/djae189","url":null,"abstract":"This study examined the association of county-level jail and state-level prison incarceration rates and cancer mortality rates in the United States. Incarceration rates (1995-2018) were sourced from national data and categorized into quartiles. County- and state-level mortality rates (2000-2019) with invasive cancer as the underlying cause of death were obtained from the National Vital Statistics System. Compared with the first quartile (lowest incarceration rate), the second, third, and fourth quartiles (highest incarceration rate) of county-level jail incarceration rate were associated with 1.3%, 2.3%, and 3.9% higher county-level cancer mortality rates, respectively, in adjusted analyses. Compared with the first quartile, the second, third, and fourth quartiles of state-level prison incarceration rate were associated with 1.7%, 2.5%, and 3.9% higher state-level cancer mortality rates, respectively. Associations were more pronounced for liver and lung cancers. Addressing adverse effects of mass incarceration may potentially improve cancer outcomes in affected communities.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142236836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Histopathological response to chemotherapy and survival of mucinous type gastric cancer","authors":"Irene A Caspers, Astrid E Slagter, Pauline A J Vissers, Martha Lopez-Yurda, Laurens V Beerepoot, Jelle P Ruurda, Grard A P Nieuwenhuijzen, Suzanne S Gisbertz, Mark I Van Berge Henegouwen, Henk H Hartgrink, Danny Goudkade, Liudmila L Kodach, Johanna W Van Sandick, Marcel Verheij, Rob H A Verhoeven, Annemieke Cats, Nicole C T Van Grieken","doi":"10.1093/jnci/djae227","DOIUrl":"https://doi.org/10.1093/jnci/djae227","url":null,"abstract":"Background Data on the clinicopathological characteristics of mucinous gastric cancer (muc-GC) are limited. This study compares the clinical outcome and response to chemotherapy between patients with resectable muc-GC, intestinal (int-GC) and diffuse (dif-GC) gastric cancer. Methods Patients from the D1/D2 study or the CRITICS trial were included in exploratory surgery-alone (SAtest) or chemotherapy test (CTtest) cohorts. Real-world data from the Netherlands Cancer Registry on patients treated between with surgery-alone (SAvalidation), and receiving preoperative chemotherapy with or without postoperative treatment (CTvalidation) were used for validation. Histopathological subtypes were extracted from pathology reports filed in the Dutch Pathology Registry and correlated with tumor regression grade (TRG) and relative survival (RS). Results In SAtest (n = 549) and SAvalidation (n = 8062) cohorts, muc-GC patients had a five-year RS of 39% and 31%, similar to or slightly better than dif-GC (43% and 29%, p = .52 and p = .011), but worse than int-GC (55% and 42%, p = .11 and p < .001). In CTtest (n = 651) and CTvalidation (n = 2889) cohorts, muc-GC showed favorable TRG (38% and 44% (near-)complete response) compared to int-GC (26% and 35%) and dif-GC (10% and 28%, p < .001 and p = .005). The 5-year RS in CTtest and CTvalidation cohorts for muc-GC (53% and 48%) and int-GC (58% and 59%) was significantly better compared to dif-GC (35% and 38%, p = .004 and p < .001). Conclusion Recognizing and incorporating muc-GC into treatment decision-making of resectable GC can lead to more personalized and effective approaches, given its favorable response to preoperative chemotherapy in relation to int-GC and dif-GC and its favorable prognostic outcomes in relation to dif-GC.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Allostatic Load, Genetic Susceptibility, Incidence Risk, and All-cause Mortality of Colorectal Cancer","authors":"Jianhui Zhao, Erxu Xue, Siyun Zhou, Meng Zhang, Jing Sun, Yuqian Tan, Xue Li","doi":"10.1093/jnci/djae223","DOIUrl":"https://doi.org/10.1093/jnci/djae223","url":null,"abstract":"Background Allostatic load (AL) reflects the cumulative burden of chronic stress throughout life, potentially influencing the onset and prognosis of cancer. However, the associations between AL, colorectal cancer (CRC) risk and all-cause mortality in patients with CRC remain unclear. Methods We analyzed the association between AL and CRC risk in 304,959 adults and all-cause mortality in 1,794 patients with CRC from the UK Biobank, using Cox proportional hazards regression models. Results Compared to the AL level in the first quartile, individuals in the second to fourth quartiles had a respective 20%, 29%, and 43% increased risk of CRC; 15%, 24%, and 42% increased risk for colon cancer; and 30%, 38%, and 45% increased risk for rectal cancer. We identified a positive dose-gradient association of AL score with CRC risk, including colon and rectal cancer. Additionally, the association between AL and increased risk of CRC was observed across different strata of genetic susceptibility for CRC. Eliminating AL exposures could prevent nearly 39.24% (95% CI: 36.16-42.32) of CRC incident cases. Meanwhile, a significant association between the AL and all-cause mortality in patients with CRC was found, with a HR of 1.71 (95% CI: 1.16-2.50) for the fourth quartile compared to the AL score in the first quartile, demonstrating a positive dose-response relationship. Conclusion High AL was associated with increased CRC risk and all-cause mortality in CRC patients. Future research should prioritize the development of cognitive or behavioral intervention strategies to mitigate the adverse effects of AL on CRC incidence and prognosis.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing power in screening trials by testing control-arm specimens: application to multicancer detection screening","authors":"Hormuzd A Katki, Philip C Prorok, Philip E Castle, Lori M Minasian, Paul F Pinsky","doi":"10.1093/jnci/djae218","DOIUrl":"https://doi.org/10.1093/jnci/djae218","url":null,"abstract":"Background Cancer screening trials have required large sample sizes and long time-horizons to demonstrate cancer mortality reductions, the primary goal of cancer screening. We examine assumptions and potential power gains from exploiting information from testing control-arm specimens, which we call the “intended effect” (IE) analysis that we explain in detail herein. The IE analysis is particularly suited to tests that can be conducted on stored specimens in the control arm, such as stored blood for multicancer detection (MCD) tests. Methods We simulated hypothetical MCD screening trials to compare power and sample size for the standard vs IE analysis. Under two assumptions that we detail herein, we projected the IE analysis for 3 existing screening trials (National Lung Screening Trial [NLST], Minnesota Colon Cancer Control Study [MINN-FOBT-A], and Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial—colorectal component [PLCO-CRC]). Results Compared with the standard analysis for the 3 existing trials, the IE design could have reduced cancer-specific mortality P values 6-fold (NLST), 33-fold (MINN-FOBT-A), or 260 000-fold (PLCO-CRC) or, alternately, reduced sample size (90% power) by 25% (NLST), 47% (MINN-FOBT-A), or 63% (PLCO-CRC). For potential MCD trial designs requiring 100 000 subjects per arm to achieve 90% power for multicancer mortality for the standard analysis, the IE analysis achieves 90% power for only 37 500-50 000 per arm, depending on assumptions concerning control-arm test-positives. Conclusions Testing stored specimens in the control arm of screening trials to conduct the IE analysis could substantially increase power to reduce sample size or accelerate trials and could provide particularly strong power gains for MCD tests.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health Insurance Continuity and Mortality in Children and Adolescents/Young Adults with Blood Cancer","authors":"Xu Ji, Xinyue (Elyse) Zhang, K Robin Yabroff, Wendy Stock, Patricia Cornwell, Shasha Bai, Ann C Mertens, Joseph Lipscomb, Sharon M Castellino","doi":"10.1093/jnci/djae226","DOIUrl":"https://doi.org/10.1093/jnci/djae226","url":null,"abstract":"Background Many uninsured patients do not receive Medicaid coverage until a cancer diagnosis, potentially delaying access to care for early cancer detection and treatment. We examine the association of Medicaid enrollment timing and patterns with survival among children and adolescents/young adults (AYAs) diagnosed with blood cancers, where disease onset can be acute and early detection is critical. Methods We identified 28,750 children and AYAs (0-39 years) newly diagnosed with blood cancers from the 2006-2013 SEER-Medicaid data. Enrollment patterns included continuous Medicaid (preceding through diagnosis), newly gained Medicaid (at/shortly after diagnosis), other noncontinuous Medicaid enrollment, and private/other insurance. We assessed cumulative incidence of death from diagnosis, censoring at last follow-up, five years post-diagnosis, or December 2018, whichever occurred first. Multivariable survival models estimated the association of insurance enrollment patterns with risk of death. Results One-fourth (26.1%) of the cohort were insured by Medicaid; of these, 41.1% had continuous Medicaid, 34.9% had newly gained Medicaid, and 24.0% had other noncontinuous enrollment. The cumulative incidence of all-cause death five-year post-diagnosis was highest in patients with newly gained Medicaid (30.2%, 95%CI = 28.4-31.9%), followed by other noncontinuous enrollment (23.2%, 95%CI = 21.3-25.2%), continuous Medicaid (20.5%, 95%CI = 19.1-21.9%), and private/other insurance (11.2%; 95%CI = 10.7-11.7%). In multivariable models, newly gained Medicaid was associated with a higher risk of all-cause (hazard ratio = 1.39, 95%CI = 1.27-1.53) and cancer-specific death (hazard ratio = 1.50, 95%CI = 1.35-1.68), compared to continuous Medicaid. Conclusions Continuous Medicaid coverage is associated with survival benefits among pediatric and AYA patients diagnosed with blood cancers; however, less than half of Medicaid-insured patients have continuous coverage before diagnosis.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NCCN guideline-concordant cancer care in Sub-Saharan Africa A population-based multi-country study of five cancers.","authors":"Nikolaus Christian Simon Mezger,Tobias Paul Seraphin,Robert Ballé,Mirko Griesel,Yvonne Walburga Joko-Fru,Lucia Hämmerl,Jana Feuchtner,Biying Liu,Annelle Zietsman,Bakarou Kamaté,Freddy Houéhanou Rodrigue Gnangnon,Franck Gnahatin,Dimitry Moudiongui Mboungou,Mathewos Assefa,Phoebe Mary Amulen,Gladys Chesumbai,Tatenda Chingonzoh,Cesaltina Feirreira Lorenzoni,Anne Korir,Pablo S Carvalho Santos,Jörg Michael Mezger,Haifa Kathrin Al-Ali,Rafael Mikolajczyk,Donald Max Parkin,Ahmedin Jemal,Eva Johanna Kantelhardt","doi":"10.1093/jnci/djae221","DOIUrl":"https://doi.org/10.1093/jnci/djae221","url":null,"abstract":"BACKGROUNDTo assess population-based quality of cancer care in Sub-Saharan Africa and to identify specific gaps and joint opportunities, we assessed concordance of diagnostic and treatment with NCCN harmonized guidelines for leading cancer types in 10 countries.METHODSAdult patients with female breast cancer (BC), cervical cancer (CC), colorectal cancer (CRC), Non-Hodgkin lymphoma (NHL) and prostate cancer (PC) were randomly drawn from 11 population-based cancer registries. Guideline concordance of diagnostics and treatment was assessed using clinical records. In a sub-cohort of 906 patients with potentially curable cancer (stage I-III BC, CC, CRC, PC, aggressive NHL (any stage)) and documentation for >1 month after diagnosis, we estimated factors associated with guideline-concordant treatment or minor deviations (GCT).FINDINGSDiagnostic information as per guidelines was complete for 1030 (31.7%)of 3246 patients included. In the sub-cohort with curable cancer, GCT was documented in 374 (41.3%, corresponding to 11.7% of 3246 included in the population-based cohort): aggressive NHL (59.8%/9.1% population-based), BC (54.5%/19.0%), PC (39.0%/6.1%), CRC (33.9%/9.5%), and CC (27.8%/11.6%). GCT was most frequent in Namibia (73.1% of curable cancer subset/32.8% population-based) and lowest in Kampala, Uganda (13.5%/3.1%). GCT was negatively associated with poor ECOG status, locally advanced stage, origin from low HDI countries, and a diagnosis of CRC or CC.INTERPRETATIONQuality of diagnostic workup and treatment showed major deficits, with considerable disparities among countries and cancer types. Improved diagnostic services are necessary to increase the share of curable cancer in SSA. Treatment components within NCCN guidelines synergetic for several cancers should be prioritized.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"291 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial and socioeconomic disparities in NSCLC molecular diagnostics uptake.","authors":"Stephanie Tuminello,Wiley M Turner,Matthew Untalan,Tara Ivic-Pavlicic,Raja Flores,Emanuela Taioli","doi":"10.1093/jnci/djae225","DOIUrl":"https://doi.org/10.1093/jnci/djae225","url":null,"abstract":"BACKGROUNDPrecision therapies, such as targeted and immunotherapies, have substantially changed the landscape of late-stage non-small cell lung cancer (NSCLC). Yet utilization of these therapies is disproportionate across strata defined by race and socioeconomic status (SES), possibly due to disparities in molecular diagnostic testing (or \"biomarker testing\"), which is a prerequisite to treatment.METHODSWe extracted a cohort of NSCLC patients from the Surveillance, Epidemiology and End Results (SEER)-Medicare linked data. The primary outcome was receipt of a molecular diagnostic test, based on claims data. The primary predictors were race and SES. Likelihood of receiving a molecular diagnostic test, and overall survival (OS), were investigated using logistic and Cox proportional hazards regression, adjusted for sex, age, residence, histology, marital status, and comorbidity.RESULTSOf the 28,511 NSCLC patients, 11,209 (39.3%) received molecular diagnostic testing. Compared to White patients, fewer Black patients received a molecular diagnostic test (40.4% vs 27.9%; p < .001). After adjustment, Black patients (ORadj [odds ratio]: 0.64; 95% CI [confidence interval]: 0.58-0.71) and those living in areas with greater poverty (ORadj: 0.85; 95% CI: 0.80-0.89) had statistically significant decreased likelihood of molecular diagnostic testing. Patients who did receive testing had a statistically significant decreased risk of death (HRadj [hazards ratio]: 0.74; 95% CI: 0.72-0.76). These results held in the stratified analysis of stage IV NSCLC patients.CONCLUSIONDisparities exist in comprehensive molecular diagnostics, which is critical for clinical decision making. Addressing barriers to molecular testing could help close gaps in cancer care and improve patient outcomes.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality-of-Life Outcomes from NRG/NSABP B-39/RTOG 0413: Whole-breast Irradiation vs Accelerated Partial-breast Irradiation after Breast Conserving Surgery.","authors":"Patricia A Ganz,Reena S Cecchini,Julia R White,Frank A Vicini,Douglas W Arthur,Rachel A Rabinovitch,Robert R Kuske,Thomas B Julian,David S Parda,Michael F Scheier,Kathryn A Winter,Soonmyung Paik,Henry M Kuerer,Laura A Vallow,Lori J Pierce,Eleftherios P Mamounas,Beryl McCormick,Harry D Bear,Isabelle Germain,Gregory S Gustafson,Linda Grossheim,Ivy A Petersen,Richard S Hudes,Walter J Curran,Norman Wolmark","doi":"10.1093/jnci/djae219","DOIUrl":"https://doi.org/10.1093/jnci/djae219","url":null,"abstract":"PURPOSENRG Oncology (NRG)/NSABP B-39/RTOG 0413 compared whole-breast irradiation (WBI) to accelerated partial-breast irradiation (APBI). APBI was not equivalent to WBI in local tumor control. Secondary outcome was Quality-of-life (QOL).METHODSThe QOL sub-study used validated self-report questionnaires including the Breast Cancer Treatment Outcome Scale (BCTOS) and SF-36 vitality scale. Assessments occurred: before randomization, at treatment completion (chemotherapy or radiotherapy), 4-weeks later, at 6-, 12-, 24-, and 36-months. Primary aims: cosmesis change equivalency (baseline to 3 years; a priori margin of equivalence 0.4 standard deviations) and fatigue change superiority (baseline to end-of-treatment (EOT)) for APBI vs WBI, by patient groups treated with or without chemotherapy when appropriate.RESULTSFrom 3/21/05-5/25/09, 975 patients enrolled in this sub-study; 950 had follow-up data. APBI had 3-year cosmesis equivalent to WBI (95%CI,-0.0001-0.16; equivalence margin -0.22-0.22) in all patients. The APBI group without chemotherapy had less EOT fatigue (p = .011; mean score APBI 63 vs WBI 59); APBI group receiving chemotherapy had worse EOT fatigue (p = .011; APBI 43 vs WBI 49). The APBI group reported less pain (BCTOS) at EOT (WBI 2.29 vs APBI 1.97), but worse pain at 3-years (WBI 1.62 vs APBI 1.71). APBI patients reported greater convenience of care than with WBI and reported less symptom severity at EOT and 4-weeks later.CONCLUSIONCosmetic outcomes were similar for APBI and WBI groups, with small statistically significant differences in other outcomes that varied over time. Differences in fatigue and other symptoms appeared to resolve by ≥ 6 months. APBI may be preferred by some patients, for whom extended treatment is burdensome.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pan-cancer genomic analysis reveals FOXA1 amplification is associated with adverse outcomes in non-small cell lung, prostate, and breast cancers.","authors":"Alexander G Goglia,Mohammed Alshalalfa,Anwar Khan,Danielle R Isakov,Helen Y Hougen,Nishwant Swami,Jasmine Kannikal,Sean M Mcbride,Daniel R Gomez,Sanoj Punnen,Paul L Nguyen,Puneeth Iyengar,Emmanuel S Antonarakis,Brandon A Mahal,Edward Christopher Dee","doi":"10.1093/jnci/djae224","DOIUrl":"https://doi.org/10.1093/jnci/djae224","url":null,"abstract":"INTRODUCTIONAlterations in forkhead box A1 (FOXA1), a pioneer transcription factor, are associated with poor prognosis in breast cancer (BC) and prostate cancer (PC). We characterized FOXA1 genomic alterations and their clinical impacts in a large pan-cancer cohort from the AACR GENIE database.METHODSFOXA1 alterations were characterized across >87,000 samples from >30 cancer types for primary and metastatic tumors alongside patient characteristics and clinical outcomes. FOXA1 alterations were queried in the MSK-MET cohort (a GENIE subset), allowing definition of hazard ratios (HRs) and survival estimates based on Cox proportional hazard models.RESULTSFOXA1 was altered in 1,869 samples (2.1%), with distinct patterns across different cancers: PC enriched with indel-inframe alterations, BC with missense mutations, and lung cancers with copy number (CN) amplifications.Of 74,715 samples with FOXA1 CN profiles, amplification was detected in 834 (1.1%). Amplification was most common in non-small cell lung cancer (NSCLC, 3% in primary; 6% in metastatic) and small cell lung cancer (4.1% primary; 3.5% metastatic), followed by BC (2% primary; 1.6% metastatic) and PC (2.2% primary; 1.6% metastatic).CN amplifications were associated with decreased overall survival in NSCLC (HR: 1.45, 95%CI: 1.06-1.99, p = .02), BC (HR: 3.04, 95%CI: 1.89-4.89, p = 4e-6), and PC (HR: 1.94, 95%CI: 1.03-3.68, p = .04). Amplifications were associated with wide-spread metastases in NSCLC, BC, and PC.CONCLUSIONSFOXA1 demonstrates distinct alteration profiles across cancer sites. Our findings suggest an association between FOXA1 amplification and both enhanced metastatic potential and decreased survival, highlighting prognostic and therapeutic potential in breast cancer, prostate cancer, and NSCLC.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CC-Connect: Identifying solutions to elevating the cancer experience for adolescents and young adults (AYA) with cancer.","authors":"Michael E Roth,Douglas S Hawkins,Janette K Merrill,Tara O Henderson","doi":"10.1093/jnci/djae212","DOIUrl":"https://doi.org/10.1093/jnci/djae212","url":null,"abstract":"Adolescents and young adults with cancer (AYAs, aged 15 to 39 years) experience unique challenges due to their developmental life stage, and many have limited access to support and resources. CC-Connect, the patient assistance component of the White House Cancer Moonshot CC-DIRECT initiative that aims to help childhood cancer families find the best care for their child, undertook a multipronged effort to identify key strategies for addressing the unique needs of AYAs with cancer. This paper describes the four strategies that emerged to form a comprehensive framework for addressing the unmet needs of AYAs with cancer, which can improve outcomes and enhance the cancer care experience for this vulnerable population.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}