JNCI Journal of the National Cancer Institute最新文献

{"title":"Prediction of breast cancer risk for adolescents and young adults with Hodgkin lymphoma.","authors":"Sander Roberti, Flora E van Leeuwen, Ibrahima Diallo, Florent de Vathaire, Michael Schaapveld, Wendy M Leisenring, Rebecca M Howell, Gregory T Armstrong, Chaya S Moskowitz, Susan A Smith, Berthe M P Aleman, Inge M Krul, Nicola S Russell, Ruth M Pfeiffer, Michael Hauptmann","doi":"10.1093/jnci/djae274","DOIUrl":"10.1093/jnci/djae274","url":null,"abstract":"<p><strong>Background: </strong>While female survivors of Hodgkin lymphoma (HL) have an increased risk of breast cancer (BC), no BC risk prediction model is available. We developed such models incorporating mean radiation dose to the breast or breast quadrant-specific radiation doses.</p><p><strong>Methods: </strong>Relative risks and age-specific incidence for BC and competing events (mortality or other subsequent cancer) were estimated from 1194 Dutch five-year HL survivors, treated at ages 11-40 during 1965-2000. Predictors were doses to ten breast segments or mean breast radiation dose, BC family history, year of and age at HL diagnosis, ages at menopause and first live birth. Models were independently validated using U.S. Childhood Cancer Survivor Study cohort participants.</p><p><strong>Results: </strong>Predicted absolute BC risks 25 years after HL diagnosis ranged from 1.0% for survivors diagnosed at ages 20-24, with <10 Gy mean breast radiation dose and menopausal 5 years after HL diagnosis, to 22.0% for survivors 25-29 years at diagnosis, ≥25 Gy mean breast dose, and no menopause within 5 years. In external validation, the observed/expected BC case ratio was 1.19 (95% confidence interval 0.97 to 1.47) for the breast segment-specific doses model, and 1.29 (1.05 to 1.60) for the mean breast dose model. The areas under the receiver operating characteristic curve were 0.68 (0.63 to 0.74) and 0.68 (0.62 to 0.73), respectively.</p><p><strong>Conclusion: </strong>Breast segment-specific or mean breast radiation dose with personal and clinical characteristics predicted absolute BC risk in HL survivors with moderate discrimination but good calibration, rendering the models useful for clinical decision-making.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":""},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142562789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Longitudinal e-Cigarette and Cigarette Use Among US Youth in the PATH Study (2013-2015).","authors":"","doi":"10.1093/jnci/djae238","DOIUrl":"10.1093/jnci/djae238","url":null,"abstract":"","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1869"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142346974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling disparities in colorectal cancer outcomes: colonoscopy follow-up and quality are key.","authors":"Peter S Liang, Divya Bhatt","doi":"10.1093/jnci/djae176","DOIUrl":"10.1093/jnci/djae176","url":null,"abstract":"","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1709-1711"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized starting age of gastric cancer screening based on individuals' risk profiles: a population-based, prospective study.","authors":"Siyi He, Zhiyi Zhang, Guohui Song, Zhenhai Wang, He Li, Maomao Cao, Fan Yang, Dianqin Sun, Xinxin Yan, Shaoli Zhang, Yi Teng, Qianru Li, Changfa Xia, Wanqing Chen","doi":"10.1093/jnci/djae162","DOIUrl":"10.1093/jnci/djae162","url":null,"abstract":"<p><strong>Background: </strong>The current recommended starting age for gastric cancer screening lacks unified guideline and individualized criteria. We aimed to determine the risk-stratified starting age for gastric cancer screening in China based on individuals' risk profiles and to develop an online calculator for clinical application.</p><p><strong>Methods: </strong>In this multicenter, population-based, prospective study, we allocated participants enrolled between 2015 and 2017 (N = 59 771, aged 40-69 years) to screened and unscreened groups and observed them for primary endpoints: gastric cancer occurrence as well as all-cause and gastric cancer-specific death. Median follow-up was 6.07 years. To determine the reference starting age, the effectiveness of gastric cancer screening was assessed by age group after propensity score matching. Further, we categorized the calculated individual risk scores (using well-established risk factors) by quantile. Subsequently, we used age-specific, 10-year cumulative risk curves to estimate the risk-stratified starting age-that is, when the individual's risk level matches the reference starting age risk threshold.</p><p><strong>Results: </strong>During follow-up, 475 gastric cancer case patients, 182 gastric cancer-related deaths, and 1860 all-cause deaths occurred. All-cause and gastric cancer-specific mortality decreased among screened individuals 45 years of age and older and 50 to 59 years of age, respectively. Thus, the average population (referent) starting age was set as 50 years. The 10-year cumulative risk of gastric cancer in the average population aged 50 years was 1.147%. We stratified the starting age using 8 risk factors and categorized participants as low-risk, medium-risk, and high-risk individuals whose risk-stratified starting age was 58, 50, and 46 years, respectively.</p><p><strong>Conclusion: </strong>Although high-risk individuals warrant starting gastric cancer screening 3 to 5 years earlier than for the average population (aged 50 years), low-risk individuals can tolerate delayed screening. Our online, personalized starting age calculator will help with risk-adapted gastric cancer screening (https://web.consultech.com.cn/gastric/#/).</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1775-1783"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Older adults with cancer and common comorbidities-challenges and opportunities in improving their cancer treatment outcomes.","authors":"Weiwei Chen, Rachel D Altshuler, Phil Daschner, Carolina Salvador Morales, Diane C St Germain, Jennifer Guida, Pataje G S Prasanna, Jeffrey C Buchsbaum","doi":"10.1093/jnci/djae163","DOIUrl":"10.1093/jnci/djae163","url":null,"abstract":"<p><p>The older American population is rapidly increasing, and millions of older adults will be cancer survivors with comorbidities. This population faces specific challenges regarding treatment and has unique clinical needs. Recognizing this need, the National Cancer Institute, in collaboration with the National Institute on Aging, hosted a webinar series, entitled Cancer, Aging, and Comorbidities. This commentary provides a reflection of 5 thematic areas covered by the webinar series, which was focused on improving cancer treatment for older adults with cancer and comorbidities: 1) the impact of comorbidities on treatment tolerability and patient outcomes; 2) the impact of comorbidities on cancer clinical trial design; 3) the development of wearable devices in measuring comorbidities in cancer treatment; 4) the effects of nutrition and the microbiome on cancer therapy; and 5) the role of senescence and senotherapy in age-related diseases. Advances have been made in these areas, however, many gaps and challenges exist and are discussed in this commentary. To improve cancer survivorship in older populations with comorbidities, aging and comorbidities must be jointly considered and incorporated across the spectrum of cancer research. This includes more basic research of the mechanisms linking comorbidities and cancer development and treatment response, building critical resources and infrastructure (eg, preclinical models and patient samples), conducting clinical trials focused on the older population, integrating geriatric assessment into cancer treatment, and incorporating novel technologies, such as wearable devices, into clinical trials and cancer care.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1730-1738"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141599829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework.","authors":"Sayaka Ishizawa, Jiangong Niu, Martin C Tammemagi, Ehsan Irajizad, Yu Shen, Karen H Lu, Larissa A Meyer, Iakovos Toumazis","doi":"10.1093/jnci/djae145","DOIUrl":"10.1093/jnci/djae145","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer is among the leading causes of gynecologic cancer-related death. Past ovarian cancer screening trials using combination of cancer antigen 125 testing and transvaginal ultrasound failed to yield statistically significant mortality reduction. Estimates of ovarian cancer sojourn time-that is, the period from when the cancer is first screen detectable until clinical detection-may inform future screening programs.</p><p><strong>Methods: </strong>We modeled ovarian cancer progression as a continuous time Markov chain and estimated screening modality-specific sojourn time and sensitivity using a Bayesian approach. Model inputs were derived from the screening arms (multimodal and ultrasound) of the UK Collaborative Trial of Ovarian Cancer Screening and the Prostate, Lung, Colorectal and Ovarian cancer screening trials. We assessed the quality of our estimates by using the posterior predictive P value. We derived histology-specific sojourn times by adjusting the overall sojourn time based on the corresponding histology-specific survival from the Surveillance, Epidemiology, and End Results Program.</p><p><strong>Results: </strong>The overall ovarian cancer sojourn time was 2.1 years (posterior predictive P value = .469) in the Prostate, Lung, Colorectal and Ovarian studies, with 65.7% screening sensitivity. The sojourn time was 2.0 years (posterior predictive P value = .532) in the United Kingdom Collaborative Trial of Ovarian Cancer Screening's multimodal screening arm and 2.4 years (posterior predictive P value = .640) in the ultrasound screening arm, with sensitivities of 93.2% and 64.5%, respectively. Stage-specific screening sensitivities in the Prostate, Lung, Colorectal and Ovarian studies were 39.1% and 82.9% for early-stage and advanced-stage disease, respectively. The histology-specific sojourn times ranged from 0.8 to 1.8 years for type II ovarian cancer and 2.9 to 6.6 years for type I ovarian cancer.</p><p><strong>Conclusions: </strong>Annual screening is not effective for all ovarian cancer subtypes. Screening sensitivity for early-stage ovarian cancers is not sufficient for substantial mortality reduction.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1798-1806"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An international multi-institutional validation of T1 sub-staging of intraductal papillary mucinous neoplasm-derived pancreatic cancer.","authors":"Joseph R Habib, Ingmar F Rompen, Brady A Campbell, Paul C M Andel, Benedict Kinny-Köster, Ryte Damaseviciute, D Brock Hewitt, Greg D Sacks, Ammar A Javed, Marc G Besselink, Hjalmar C van Santvoort, Lois A Daamen, Martin Loos, Jin He, I Quintus Molenaar, Markus W Büchler, Christopher L Wolfgang","doi":"10.1093/jnci/djae166","DOIUrl":"10.1093/jnci/djae166","url":null,"abstract":"<p><strong>Background: </strong>Intraductal papillary mucinous neoplasm (IPMN)-derived pancreatic ductal adenocarcinoma (PDAC) is resected at smaller sizes compared with its biologically distinct counterpart, pancreatic intraepithelial neoplasia (PanIN)-derived PDAC. Thus, experts proposed T1 sub-staging for IPMN-derived PDAC. However, this has never been validated.</p><p><strong>Methods: </strong>Consecutive upfront surgery patients with IPMN-derived PDAC from 5 international high-volume centers were classified by the proposed T1 sub-staging classification (T1a ≤0.5, T1b >0.5 and ≤1.0, and T1c >1.0 and ≤2.0 cm) using the invasive component size. Kaplan-Meier and log-rank tests were used to compare overall survival (OS). A multivariable Cox regression was used to determine hazard ratios (HRs) with confidence intervals (95% CIs).</p><p><strong>Results: </strong>Among 747 patients, 69 (9.2%), 50 (6.7%), 99 (13.0%), and 531 patients (71.1%), comprised the T1a, T1b, T1c, and T2-4 subgroups, respectively. Increasing T-stage was associated with elevated CA19-9, poorer grade, nodal positivity, R1 margin, and tubular subtype. Median OS for T1a, T1b, T1c, and T2-4 were 159.0 (95% CI = 126.0 to NR), 128.8 (98.3 to NR), 77.6 (48.3 to 108.2), and 31.4 (27.5 to 37.7) months, respectively (P < .001). OS decreased with increasing T-stage for all pairwise comparisons (all P < .05). After risk adjustment, older than age 65, elevated CA19-9, T1b [HR = 2.55 (1.22 to 5.32)], T1c [HR = 3.04 (1.60 to 5.76)], and T2-4 [HR = 3.41 (1.89 to 6.17)] compared with T1a, nodal positivity, R1 margin, and no adjuvant chemotherapy were associated with worse OS. Disease recurrence was more common in T2-4 tumors (56.4%) compared with T1a (18.2%), T1b (23.9%), and T1c (36.1%, P < .001).</p><p><strong>Conclusion: </strong>T1 sub-staging of IPMN-derived PDAC is valid and has significant prognostic value. Advancing T1 sub-stage is associated with worse histopathology, survival, and recurrence. T1 sub-staging is recommended for future guidelines.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1791-1797"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141727126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fecal, duodenal, and tumor microbiota composition of esophageal carcinoma patients, a longitudinal prospective cohort.","authors":"Tom van den Ende, Nicolien C de Clercq, Mark Davids, Ruben Goedegebuure, Benthe H Doeve, Gati Ebrahimi, Jeroen Buijsen, Ronald Hoekstra, Nadia Haj Mohammad, Maarten F Bijlsma, Max Nieuwdorp, Hanneke W M van Laarhoven","doi":"10.1093/jnci/djae153","DOIUrl":"10.1093/jnci/djae153","url":null,"abstract":"<p><strong>Background: </strong>The microbiome has been associated with chemotherapy and immune checkpoint inhibitor efficacy. How this pertains to resectable esophageal carcinoma is unknown. Our aim was to identify microbial signatures in resectable esophageal carcinoma associated with response to neoadjuvant chemoradiotherapy with or without an immune checkpoint inhibitor.</p><p><strong>Methods: </strong>From 2 prospectively collected esophageal carcinoma cohorts (n = 172 in total) treated with neoadjuvant chemoradiotherapy alone (n = 132) or a combination of neoadjuvant chemoradiotherapy and an immune checkpoint inhibitor (n = 40), fecal samples were available at baseline, during treatment, and presurgery. Additionally, in the immune checkpoint inhibitor-treated patients, tumor and duodenal snap frozen biopsies were collected over time. Fecal, tumor, and duodenal DNA were extracted for 16S ribosomal RNA sequencing. Associations were investigated between microbiome composition pathological complete response and progression-free survival (PFS).</p><p><strong>Results: </strong>There was a statistically significant shift in the microbiota profile of the fecal, tumor, and duodenal microbiota over time. In the total cohort, patients with a pathological complete response had a stable fecal alpha diversity, while the diversity of poor responders decreased during treatment (P = .036). Presurgery, lower alpha diversity (<4.12) was related to worse PFS (log-rank P = .025). Baseline tumor biopsies of patients with short PFS had more Fusobacterium. A low baseline duodenal alpha diversity (<3.96) was associated with worse PFS (log-rank P = .012).</p><p><strong>Conclusions: </strong>Lower intestinal alpha diversity was associated with worse response and survival of esophageal carcinoma patients. In tumor biopsies, Fusobacterium was more abundant in patients with poor PFS. After further mechanistic validation, these findings may aid in response prediction and the design of novel microbiome modulating treatments for esophageal carcinoma patients.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1834-1844"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542985/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141456939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ovarian cancer risk factors in relation to family history.","authors":"Guoqiao Zheng, Louise Baandrup, Jiangrong Wang, Rasmus Hertzum-Larsen, Charlotte Gerd Hannibal, Mette Tuxen Faber, Karin Sundström, Susanne K Kjær","doi":"10.1093/jnci/djae164","DOIUrl":"10.1093/jnci/djae164","url":null,"abstract":"<p><strong>Background: </strong>Women with a family history of breast and/or ovarian cancer have an increased ovarian cancer risk. Yet it remains uncertain if common ovarian cancer risk factors-especially those that are modifiable-affect this high-risk population similarly to the general population.</p><p><strong>Methods: </strong>Using the Danish and Swedish nationwide registers, we established 2 nested case-control study populations in women with a family history of breast and/or ovarian cancer (2138 ovarian cancers, 85 240 controls) and women without (10 730 ovarian cancers, 429 200 controls). The overall and histology-specific associations were assessed with conditional logistic regression. The country-specific estimates were combined based on a fixed-effect assumption.</p><p><strong>Results: </strong>Multiparity, hysterectomy, tubal ligation, salpingectomy, and oral contraceptive (OC) use were associated with a reduced risk of ovarian cancer in women with and without a family history, while endometriosis and menopausal hormone therapy were associated with increased risk. Multiparity and OC use presented protective effects across all histologic subtypes except mucinous ovarian cancer, which was not associated with OC use. Menopausal hormone treatment increased the risk of serous ovarian cancer but decreased the risk of the mucinous and clear cell cancers. Endometriosis was especially related to an increased risk of endometrioid and clear cell ovarian cancer.</p><p><strong>Conclusion: </strong>Factors associated with a decreased ovarian cancer risk were similar between women with and without a family history of breast and/or ovarian cancer. Given the higher baseline risk for women with a family history, special attention should be paid to risk factors like endometriosis and nulliparity in this high-risk population.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1767-1774"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141534473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Celebrating the 1945 JNCI pioneering contribution to antiangiogenic therapy for cancer.","authors":"Giovanna Tosato, Yuyi Wang","doi":"10.1093/jnci/djae181","DOIUrl":"10.1093/jnci/djae181","url":null,"abstract":"","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1715-1720"},"PeriodicalIF":9.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142043916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}