scholarly journals Chemotherapy for Late-Stage Cancer Patients: Meta-Analysis of Complete Response Rates

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 232 ◽  
Author(s):  
Martin L. Ashdown ◽  
Andrew P. Robinson ◽  
Steven L. Yatomi-Clarke ◽  
M. Luisa Ashdown ◽  
Andrew Allison ◽  
...  

Complete response (CR) rates reported for cytotoxic chemotherapy for late-stage cancer patients are generally low, with few exceptions, regardless of the solid cancer type or drug regimen. We investigated CR rates reported in the literature for clinical trials using chemotherapy alone, across a wide range of tumour types and chemotherapeutic regimens, to determine an overall CR rate for late-stage cancers. A total of 141 reports were located using the PubMed database. A meta-analysis was performed of reported CR from 68 chemotherapy trials (total 2732 patients) using standard agents across late-stage solid cancers—a binomial model with random effects was adopted. Mean CR rates were compared for different cancer types, and for chemotherapeutic agents with different mechanisms of action, using a logistic regression. Our results showed that the CR rates for chemotherapy treatment of late-stage cancer were generally low at 7.4%, regardless of the cancer type or drug regimen used. We found no evidence that CR rates differed between different chemotherapy drug types, but amongst different cancer types small CR differences were evident, although none exceeded a mean CR rate of 11%. This remarkable concordance of CR rates regardless of cancer or therapy type remains currently unexplained, and motivates further investigation.

2021 ◽  
Vol 11 ◽  
Author(s):  
Guang Zhu ◽  
Ying Liu ◽  
Lei Zhao ◽  
Zhenhua Lin ◽  
Yingshi Piao

Sine Oculis Homeobox Homolog 1 (SIX1) is reported to promote cancer initiation and progression in many preclinical models and is demonstrated in human cancer tissues. However, the correlation between SIX1 and cancer patients’ prognosis has not yet been systematically evaluated. Therefore, we performed a systematic review and meta-analysis in various human cancer types and extracted some data from TCGA datasets for further verification and perfection. We constructed 27 studies and estimated the association between SIX1 expression in various cancer patients’ overall survival and verified with TCGA datasets. Twenty-seven studies with 4899 patients are include in the analysis of overall, and disease-free survival, most of them were retrospective. The pooled hazard ratios (HRs) for overall and disease-free survival in high SIX1 expression patients were 1.54 (95% CI: 1.32-1.80, P<0.00001) and 1.83 (95% CI: 1.31-2.55, P=0.0004) respectively. On subgroup analysis classified in cancer type, high SIX1 expression was associated with poor overall survival in patients with hepatocellular carcinoma (HR 1.50; 95% CI: 1.17-1.93, P =0.001), breast cancer (HR 1.31; 95% CI: 1.10-1.55, P =0.002) and esophageal squamous cell carcinoma (HR 1.89; 95% CI: 1.42-2.52, P<0.0001). Next, we utilized TCGA online datasets, and the consistent results were verified in various cancer types. SIX1 expression indicated its potential to serve as a cancer biomarker and deliver prognostic information in various cancer patients. More works still need to improve the understandings of SIX1 expression and prognosis in different cancer types.


2020 ◽  
Vol 12 ◽  
pp. 175883592098054
Author(s):  
Huilin Xu ◽  
Ximing Xu ◽  
Wei Ge ◽  
Jinju Lei ◽  
Dedong Cao

Background: Immune-related adverse events (irAEs) are common during immune checkpoint inhibitor (ICI) treatment and reported to be associated with good survival. This study evaluated the association between onset timing of irAEs and survival of cancer patients treated with ICIs. Methods: Databases including PubMed, Embase, and the Cochrane library were systematically searched to retrieve clinical studies assessing the relationship between irAEs and survival in cancer patients with ICIs. The overall response rate for treatment response and hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS) were calculated using RevMan 5.3. Subgroup analysis in terms of cancer type, ICIs type, region, specific irAEs, accordingly. Results: A total of 34 studies were included. The HRs for OS and PFS in cancer patients with versus without irAEs were 0.57 [95% confidence interval (CI): 0.44, 0.74; p < 0.0001], and 0.50 (95% CI: 0.37, 0.67; p < 0.00001), respectively. The odds ratio for overall response in cancer patients with irAEs was 4.72 (95% CI: 3.48, 6.40; p < 0.00001) compared with those without irAEs. Subgroup analyses suggested that the prognostic role of irAEs was associated with cancer types and region, but not irAEs types. The landmark analysis of OS revealed that there is a non-proportional (early) effect of irAEs on OS in ICI-treated cancer patients (landmark >12 weeks, HROS = 1.08; 95% CI: 0.89, 1.30; p = 0.46). Conclusion: Our findings suggest that the occurrence of irAEs could be a prognostic factor for cancer patients who were treated with ICIs.


Author(s):  
M. Aldea ◽  
L. Cerbone ◽  
A. Bayle ◽  
C. Parisi ◽  
C. Sarkozy ◽  
...  

2006 ◽  
Vol 31 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Sean Ransom ◽  
William P. Sacco ◽  
Michael A. Weitzner ◽  
Lora M. Azzarello ◽  
Susan C. McMillan

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14576-e14576
Author(s):  
Xinlu Liu ◽  
Jiasheng Xu ◽  
Jian Sun ◽  
Deng Wei ◽  
Xinsheng Zhang ◽  
...  

e14576 Background: Clinically, MSI had been used as an important molecular marker for the prognosis of colorectal cancer and other solid tumors and the formulation of adjuvant treatment plans, and it had been used to assist in the screening of Lynch syndrome. However, there were currently few reports on the incidence of MSI-H in Chinese pan-cancer patients. This study described the occurrence of MSI in a large multi-center pan-cancer cohort in China, and explored the correlation between MSI and patients' TMB, age, PD-L1 expression and other indicators. Methods: The study included 8361 patients with 8 cancer types from multiple tumor centers. Use immunohistochemistry to detect the expression of MMR protein (MLH1, MSH2, MSH6 and PMS2) in patients with various cancer types to determine the MSI status and detect the expression of PD-L1 in patients. Through NGS technology, 831 genes of 8361 Chinese cancer patients were sequenced and the tumor mutation load of the patients was calculated. The MSI mutations of patients in 8 cancer types were analyzed and the correlation between MSI mutations of patients and the patient's age, TMB and PD-L1 expression was analyzed. Results: The test results showed that MSI patients accounted for 1.66% of pan-cancers. Among them, MSI-H patients accounted for the highest proportion in intestinal cancer, reaching 7.2%. The correlation analysis between MSI and TMB was performed on patients of various cancer types. The results showed that: in each cancer type, MSI-H patients had TMB greater than 10, and 26.83% of MSI-H patients had TMB greater than 100 in colorectal cancer patients. The result of correlation analysis showed that there was no significant correlation between the patient's age and the risk of MSI mutation ( P> 0.05). In addition to PAAD and LUAD, the expression of PD-L1 in MSI-H patients was higher than that in MSS patients in other cancer types( P< 0.05). The correlation analysis between PD-L1 expression and TMB in patients found that in colorectal cancer, the higher the expression of PD-L1, the higher the patient's TMB ( P< 0.05). Conclusions: In this study, we explored the incidence of MSI-H in pan-cancer patients in China and found that the TMB was greater than 10 in patients with MSI-H. Compared with MSS patients, MSI-H patients have higher PD-L1 expression, and the higher the PD-L1 expression in colorectal cancer, the higher the TMB value of patients.


2014 ◽  
Vol 155 (26) ◽  
pp. 1024-1032
Author(s):  
Magda Rohánszky ◽  
Rózsa Katonai ◽  
Barna Konkolÿ Thege

Introduction: Psychosocial status of cancer patients is still understudied in Hungary. Aim: The aim of the authors was to obtain current information on the mental and social status of this patient group. Method: Altogether, 1070 cancer patients with a wide range of cancer types were included in the study (30.0% male; age: 55.9±11.0 years). Results: A large part of the patients had serious financial difficulties and 41.3% of them were struggling with at least one more comorbid chronic disease. Further, 52.2% of the patients reported at least moderate anxiety or depression, while the occurrence of suicidal thoughts was almost three times higher among them than in the Hungarian normal population (13.0% vs. 4.6%). Level of perceived social support was also lower than the population standards and 61.6% of the patients reported willingness to benefit from professional psychological support. Quality of social life of the patients deteriorated with time after cancer diagnosis. A positive phenomenon, however, was that the primary coping style reported was active problem solving. Conclusions: The authors conclude that it is necessary to screen cancer patients for psychosocial difficulties and to establish conditions for their adequate mental and social care in Hungary. Orv. Hetil., 2014, 155(26), 1024–1032.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3072-3072
Author(s):  
Habte Aragaw Yimer ◽  
Wai Hong Wilson Tang ◽  
Mohan K. Tummala ◽  
Spencer Shao ◽  
Gina G. Chung ◽  
...  

3072 Background: The Circulating Cell-free Genome Atlas study (CCGA; NCT02889978) previously demonstrated that a blood-based multi-cancer early detection (MCED) test utilizing cell-free DNA (cfDNA) sequencing in combination with machine learning could detect cancer signals across multiple cancer types and predict cancer signal origin. Cancer classes were defined within the CCGA study for sensitivity reporting. Separately, cancer types defined by the American Joint Committee on Cancer (AJCC) criteria, which outline unique staging requirements and reflect a distinct combination of anatomic site, histology and other biologic features, were assigned to each cancer participant using the same source data for primary site of origin and histologic type. Here, we report CCGA ‘cancer class’ designation and AJCC ‘cancer type’ assignment within the third and final CCGA3 validation substudy to better characterize the diversity of tumors across which a cancer signal could be detected with the MCED test that is nearing clinical availability. Methods: CCGA is a prospective, multicenter, case-control, observational study with longitudinal follow-up (overall population N = 15,254). Plasma cfDNA from evaluable samples was analyzed using a targeted methylation bisulfite sequencing assay and a machine learning approach, and test performance, including sensitivity, was assessed. For sensitivity reporting, CCGA cancer classes were assigned to cancer participants using a combination of the type of primary cancer reported by the site and tumor characteristics abstracted from the site pathology reports by GRAIL pathologists. Each cancer participant also was separately assigned an AJCC cancer type based on the same source data using AJCC staging manual (8th edition) classifications. Results: A total of 4077 participants comprised the independent validation set with confirmed status (cancer: n = 2823; non-cancer: n = 1254 with non-cancer status confirmed at year-one follow-up). Sensitivity was reported for 24 cancer classes (sample sizes ranged from 10 to 524 participants), as well as an “other” cancer class (59 participants). According to AJCC classification, the MCED test was found to detect cancer signals across 50+ AJCC cancer types, including some types not present in the training set; some cancer types had limited representation. Conclusions: This MCED test that is nearing clinical availability and was evaluated in the third CCGA substudy detected cancer signals across 50+ AJCC cancer types. Reporting CCGA cancer classes and AJCC cancer types demonstrates the ability of the MCED test to detect cancer signals across a set of diverse cancer types representing a wide range of biologic characteristics, including cancer types that the classifier has not been trained on, and supports its use on a population-wide scale. Clinical trial information: NCT02889978.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10557-10557
Author(s):  
Ariella Cohain ◽  
Christine Hathaway ◽  
Mudit Gupta ◽  
Braxton Lagerman ◽  
Yali Li ◽  
...  

10557 Background: Several studies have shown screening methods can detect cancer at earlier stages and improve cancer prognosis; however, only four cancer types (breast, colorectal, cervical, and lung) currently have screening methods recommended by the United States Preventive Services Taskforce (USPSTF). In 2021, these four cancers are expected to make up roughly 40% of new cases and cancer deaths, meaning that the majority of cancer deaths will be associated with cancer types lacking recommended screening. We sought to characterize patients who were diagnosed with cancer types with and without recommended screening modalities to demonstrate the gaps in screening faced by the majority of cancers today. Methods: The Geisinger Health System (GHS) Phenomics Initiative Database (PIDB) provides deidentified data from electronic health, billing, and imaging records, and a tumor registry. PIDB was used to identify patients aged 50 to 76 who had cancers diagnosed between 2008 and 2020 and a record of USPSTF-recommended cancer screenings within GHS prior to diagnosis. Analysis focused on patients who received care at GHS during their screening-eligible intervals. Results: Between 2008 and 2020, 13,347 incident invasive cancers were identified in the GHS tumor registry. Of these, 40% (N = 5,331) were cancer types with a recommended screening modality. 57% of these cases (N = 3,039; 23% of all incident cancers) occurred in patients who underwent screening in the interval preceding diagnosis. Screening adherence was significantly associated with stage at diagnosis; patients who were not screened for their diagnosed cancer were more than twice as likely to have a late-stage diagnosis as compared with patients who received screening (multivariate ordinal logistic regression, OR = 2.16, p < 0.001). Patterns of screening adherence in this population are complex; however, 57% of these patients had received screening for a different cancer type. The majority of incident cancers were of those types with no recommended screening modality (N = 8,016; 60% of all incident cancers). Of these, most (N = 6,252; 78%) had been screened for at least one of breast, lung, colon, or cervical cancer and nearly half (N = 3,607; 45%) were current for all guideline-recommended screenings. Not surprisingly, stage at diagnosis was not associated with adherence to any or all screening modalities (multivariate ordinal logistic regression, p = 0.11 and p = 0.45). Conclusions: The majority (79%) of individuals diagnosed with cancer had a history of adherence to at least one screening recommendation. Out of all cancer patients, only 23% were screened specifically for the cancer with which they were subsequently diagnosed, a group that is associated with a lower odds of a late-stage diagnosis. This suggests that the majority of cancer patients who underwent any cancer screening did not benefit from earlier stage diagnosis.


Author(s):  
Nathanael R Fillmore ◽  
Jennifer La ◽  
Raphael E Szalat ◽  
David P Tuck ◽  
Vinh Nguyen ◽  
...  

Abstract Background Emerging data suggest variability in susceptibility and outcome to coronavirus disease 2019 (COVID-19) infection. Identifying risk factors associated with infection and outcomes in cancer patients is necessary to develop healthcare recommendations. Methods We analyzed electronic health records of the US Veterans Affairs Healthcare System and assessed the prevalence of COVID-19 infection in cancer patients. We evaluated the proportion of cancer patients tested for COVID-19 who were positive, as well as outcome attributable to COVID-19, and stratified by clinical characteristics including demographics, comorbidities, cancer treatment, and cancer type. All statistical tests are 2-sided. Results Of 22 914 cancer patients tested for COVID-19, 1794 (7.8%) were positive. The prevalence of COVID-19 was similar across age. Higher prevalence was observed in African American (15.0%) compared with White (5.5%; P &lt; .001) and in patients with hematologic malignancy compared with those with solid tumors (10.9% vs 7.8%; P &lt; .001). Conversely, prevalence was lower in current smokers and patients who recently received cancer therapy (&lt;6 months). The COVID-19–attributable mortality was 10.9%. Higher attributable mortality rates were observed in older patients, those with higher Charlson comorbidity score, and in certain cancer types. Recent (&lt;6 months) or past treatment did not influence attributable mortality. Importantly, African American patients had 3.5-fold higher COVID-19–attributable hospitalization; however, they had similar attributable mortality as White patients. Conclusion Preexistence of cancer affects both susceptibility to COVID-19 infection and eventual outcome. The overall COVID-19–attributable mortality in cancer patients is affected by age, comorbidity, and specific cancer types; however, race or recent treatment including immunotherapy do not impact outcome.


2019 ◽  
Vol 42 (8) ◽  
pp. 675-681
Author(s):  
Jinhai Huo ◽  
Jiang Bian ◽  
Zhigang Xie ◽  
Young-Rock Hong ◽  
Diana J. Wilkie ◽  
...  

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